Create an Account
Create an account for powerful AI tools, award-winning courses, and access to our vibrant community.
or
Already have an account?
Create an account for powerful AI tools, award-winning courses, and access to our vibrant community.
Already have an account?
Join 250,000+ professionals and teams at Microsoft, Shopify, and even NASA. 🚀
Already have an account? Login
Find the best remote jobs. Answer a few questions and we'll deploy a powerful assistant to help you search, create alerts, and more.
1 What roles are you open to?
2 Experience level
3 Work style
Did you know? If memory is enabled, Writing.io can remember your job search preferences and help you to improve your resume, craft customized outreach and more.
Category
Senior data scientist analyzes healthcare platform data, builds predictive models, and derives insights to improve patient outcomes and business decisions.
Biostatistician develops statistical analysis plans, performs SAS-based data analyses, and prepares reports for clinical research studies.
Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster.
We are seeking a full-time Biostatistician for our Data Management and Biometric department.. The selected candidates will be responsible for developing statistical analysis plan, performing statistical analyses using SAS and preparing reports for assigned projects.
Sponsors
Bachelor’s degree in Statistics-related field and 3+ years industry related experience and 4+years SAS
programming experience of the equivalent
Celerion Values: Integrity Trust Teamwork Respect
Celerion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, marital status, qualified protected veteran status, or disability.
Note: To make sure you don’t miss important updates from us, please check your Spam folder for emails from @celerion.com, particularly interview invitations. If you find one there, mark it as “Not Junk” to ensure future Celerion emails land in your inbox. Please note that Gmail accounts have been particularly noted as routing to Spam.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Builds data pipelines and analytics systems to transform member and care team data into actionable insights for product and clinical teams.
Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity
We are looking for a Product Analytics Associate Engineer to join our Data Platform team, supporting the data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is a great opportunity to grow at the intersection of product, data, and healthcare — working alongside our Data Engineering and Product Analytics team to help translate Member and Care Team data into actionable insights, while building deep, hands-on experience with modern analytics engineering practices. You’ll partner with Product Managers, Area owners, Care Team leads, and Data Engineers, with support and mentorship from senior team members as you grow into greater ownership of your own product areas.
Responsibilities
Qualifications
Compensation and Benefits
The compensation range for this position is $110,000 - $120,000 annually.
Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
Salary range for US jobs
US Salary Range
$110,000—$120,000 USD
We have been made aware of fraudulent interview requests being sent using the Twin Health’s name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.
Principal consultant leads end-to-end Power BI analytics engagements, designs scalable data solutions, and guides client adoption of analytics products.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is looking for a Principal Analytics Consultant who specializes in Power BI to lead complex analytics engagements and help customers realize measurable value from their data.
In this role, you will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership. You will guide clients from strategy and discovery through solution design, development, deployment, governance, and adoption. You will translate ambiguous business needs into scalable analytics products that support better decisions and sustainable ways of working with data.
You will work closely with client executives, business stakeholders, technical teams, account leaders, and consultants across phData. You will also help shape Power BI delivery standards, reusable accelerators, enterprise adoption approaches, and the continued growth of the Analytics practice.
You are a client-focused analytics leader who enjoys solving complex data problems and creating practical, well-designed solutions. You bring strong technical judgment and can move comfortably between business strategy, analytics architecture, hands-on Power BI development, executive conversations, and team leadership.
You are comfortable leading through ambiguity, influencing without authority, and operating in distributed, global teams. You communicate clearly with both technical and business audiences and are energized by helping organizations establish sustainable, value-oriented ways of working with data.
Preferred qualifications help candidates stand out but are not required for success in this role.
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Owns sales forecasting, pipeline analytics, GTM planning, and compensation strategy to drive data-driven revenue operations decisions.
Spreedly is the world’s leading Open Payments Platform. Founded in 2007 and headquartered in Durham, NC, the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway, processor, or fraud tool through a single API. The platform is vendor-agnostic by design, meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.
The core business problem Spreedly solves is real and costly: global merchants face a fragmented payments ecosystem, where every new market, payment method, or fraud tool typically requires a separate, time-consuming integration. Spreedly eliminates that complexity, enabling companies to route transactions intelligently, secure cardholder data, prevent fraud, and expand into new markets without heavy engineering overhead.
About the Role:
Spreedly is building a new go-to-market operations function, and we’re hiring a Lead Revenue Operations Analyst to help run it. Revenue Operations is joining Business Operations, and rather than migrate the function as-is, we’re pivoting it into a broader GTM Operations pillar — one built to run a predictable, efficient go-to-market operating engine.
This is a senior individual contributor role with no people management responsibilities, reporting to the Sr. Director of Business Operations and serving as a trusted thought partner to our SVP of Revenue. You will own sales forecasting, pipeline and performance analytics, GTM planning, and sales compensation strategy, combining quantitative analysis and qualitative analysis with broader business context to inform decisions. You will work closely with the GTM Operations Analyst, who will contribute operational context, supporting analysis, and execution, while this role maintains overall accountability for the forecast, quota methodology, and recommendations to Revenue leadership.
You will go beyond reporting what happened. You will independently identify what is changing in the business, understand why, and translate complex data into clear insights and recommendations that help Revenue leadership act early — for example, spotting churn risk in the funnel before it becomes lost revenue. This role is designed for someone who wants significant impact through expertise, judgment, analytical rigor, and execution rather than through managing a team. You will operate with significant autonomy, partnering directly with executive and sales leadership to turn analysis into action.
#LI-AE1
Spreedly Product Offering:
Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include:
Connect— A unified API that integrates with hundreds of payment gateways, processors, and alternative payment methods worldwide, including digital wallets. Merchants access the global payments ecosystem through one connection.
Vault — A PCI-compliant secure repository for payment methods. Merchants store card data once and reuse it across any payment service, reducing PCI scope and protecting cardholder data at scale.
Optimize— Workflow-driven routing and retry logic that directs each transaction to the best-performing gateway in real time. On average, 7.9% of failed transactions succeed immediately when retried on a secondary gateway. This is where merchants recover lost revenue and increase authorization success rates.
Protect— A flexible fraud and authentication layer, incorporating advanced fraud tools and 3DS. Following Spreedly’s acquisition of Dodgeball in September 2025, fraud orchestration and payment optimization now operate within the same platform.
Resolve— Centralized management and reporting that reduces operational silos, strengthens security, and improves billing control across a merchant’s entire payment operation.
More Coming Soon! - Keep your eyes peeled for a new product launch by EOY ‘26
–
What It’s Like to Work Here:
We describe our team as “Spreedlings”: diverse, forward-thinking, and driven by a shared belief that a more open payments ecosystem benefits everyone. The company operates with a culture built on transparency, courageous collaboration, and self-driven leadership. The team values simplicity in both product and process, and approaches problem-solving with genuine curiosity.
–
We champion the ethical, creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact, you’ll thrive here.
–
Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.
Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.
At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.
We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.
–
#LI-AE1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Intern analyzes marketing data and builds statistical models to measure campaign performance and optimize business decisions for global clients.
London – Data Science, Marketing Effectiveness 6 Month Internship
Job Description
Role: Data Science & Marketing Effectiveness
Start date: Jan - June 2027
Location: London, UK (Hybrid – Minimum 2 days in office per week)
About Ekimetrics
Ekimetrics is a leader in data science and AI, specialising in marketing effectiveness and business optimisation since 2006. We help companies across various industries, including retail, automotive, banking, luxury fashion, and more, unlock the value of their data to drive sustainable business performance.
Our goal is to combine high-impact AI and data science solutions for sustainable business performance.
We’re proud to be:
DataIQ Best Company to Work For & Solution Provider 2025
·UK Data Company of the Year 2023
·Great Place to Work Certified 2023
·Microsoft’s Sustainability Partner
·Named a Leader in the Forrester Wave for Marketing Measurement 2023
With offices in Paris, London, New York, Hong Kong and Shanghai, our 50+ data science consultants deliver over 1,000 high-impact projects each year for global clients.
About the Role
As a Data Science & Marketing Effectiveness Intern, you’ll spend 6 months in the Ekimetrics London team. You’ll work on global client projects to measure and optimise marketing performance through advanced analytics and statistical modelling.
You’ll gain first-hand experience as both a data scientist and strategic consultant, using tools like Python and econometric modelling to guide real-world business decisions.
You’ll collaborate on client projects and internal R&D from day one. Over the 6-month internship, you’ll also have the opportunity to complete a research project that aligns with your interests and contributes to our broader business goals.
Job Responsibilities
1. Data Analytics & Modelling
·Analyse large data sets using statistical techniques to uncover key insights
·Support the team in building marketing mix models (MMM), testing frameworks, forecasting tools, and customer segmentation
·Use Python to process and clean data, write scripts and build ML or econometric models
·Opportunity to work with tools like Power BI, Databricks, Git, Jira, Pandas, PySpark, VS Code
2. Consulting & Strategy
·Gain experience translating complex data outputs into recommendations for clients
·Attend internal and client meetings to understand real business challenges
·Collaborate across teams to build deliverables, present findings and influence decisions
3. Eki Life & Learning
·Undertake an individual R&D project based on your interests and present your findings to the Eki leadership team
·Attend team events, internal training, knowledge sharing and social activities
·Contribute to a fun, curious, and collaborative team culture
About You
Must Have
·Studying a quantitative degree (e.g. Economics, Maths, Engineering, Computer/Data Science, Statistics, etc.)
·Strong interest in analytics, modelling, marketing strategy and customer analytics
·Proficient in Excel functions (e.g., VLOOKUP, INDEX-MATCH, TEXT, IF, SUMIFS, pivot tables) for data cleaning, validation, and structuring (this will be needed for the interview process)
·Some experience in Python, R or similar (academic, project or self-taught)
·Solid foundation in statistics, econometrics and data manipulation
Consulting & Soft Skills:
·Curious, detail-oriented and comfortable working with ambiguity
·Excellent communication – both written and verbal
·Highly collaborative, self-motivated and organised
·A strong interest in working at the intersection of data and business
Must-Haves:
·Available to work 5 days a week from June/July 2026 to Dec 2026
·Full right to work in the UK for the duration of the placement. We cannot sponsor this role.
·Enthusiastic about gaining experience in a hybrid data science/consulting role
Why Join Eki?
·£Competitve Salary Prorated + 20 days holiday + Bank holidays
·Hybrid working (2 days a week in the office minimum)
·Opportunity for full-time return offer (Junior Data Science Consultant starting salary of 40k!)
·Training & mentorship from experienced consultants
·Vibrant, international office culture (75+ employees in London office)
·Regular socials, global knowledge sharing & learning sessions
·A chance to work on real projects and make an impact from day one
Our recruitment process
1.Online Technical Test (HackerRank) – 45 mins
2.Introductory Interview with a member of the talent acquisition team - 15-30 mins
3.Case Study Interview 45mins – 1 hour
4.Final Interview – 45 minutes
\_\_\________________________________________________________________________________________________________
Any questions, please contact [email protected]
At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values, which serve as pillars in our work and attitude.
Our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.,
Closing on 30th October or sooner. We may close the posting earlier.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Develops statistical analysis plans, performs data analysis using SAS, and prepares reports for clinical research studies.
Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster.
We are seeking a full-time Biostatistician for our Data Management and Biometric department.. The selected candidates will be responsible for developing statistical analysis plan, performing statistical analyses using SAS and preparing reports for assigned projects.
Sponsors
Bachelor’s degree in Statistics-related field and 3+ years industry related experience and 4+years SAS
programming experience of the equivalent
Celerion Values: Integrity Trust Teamwork Respect
Celerion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, marital status, qualified protected veteran status, or disability.
Note: To make sure you don’t miss important updates from us, please check your Spam folder for emails from @celerion.com, particularly interview invitations. If you find one there, mark it as “Not Junk” to ensure future Celerion emails land in your inbox. Please note that Gmail accounts have been particularly noted as routing to Spam.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Build data pipelines and analytics solutions to translate member and care team data into actionable insights for product and clinical decision-making.
Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity
We are looking for a Product Analytics Associate Engineer to join our Data Platform team, supporting the data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is a great opportunity to grow at the intersection of product, data, and healthcare — working alongside our Data Engineering and Product Analytics team to help translate Member and Care Team data into actionable insights, while building deep, hands-on experience with modern analytics engineering practices. You’ll partner with Product Managers, Area owners, Care Team leads, and Data Engineers, with support and mentorship from senior team members as you grow into greater ownership of your own product areas.
Responsibilities
Qualifications
Compensation and Benefits
The compensation range for this position is $110,000 - $120,000 annually.
Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
Salary range for US jobs
US Salary Range
$110,000—$120,000 USD
We have been made aware of fraudulent interview requests being sent using the Twin Health’s name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.
Build data pipelines and analytics solutions to transform member and care team data into actionable insights that improve health outcomes.
Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity
We are looking for a Product Analytics Associate Engineer to join our Data Platform team, supporting the data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is a great opportunity to grow at the intersection of product, data, and healthcare — working alongside our Data Engineering and Product Analytics team to help translate Member and Care Team data into actionable insights, while building deep, hands-on experience with modern analytics engineering practices. You’ll partner with Product Managers, Area owners, Care Team leads, and Data Engineers, with support and mentorship from senior team members as you grow into greater ownership of your own product areas.
Responsibilities
Qualifications
Compensation and Benefits
The compensation range for this position is $110,000 - $120,000 annually.
Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
Salary range for US jobs
US Salary Range
$110,000—$120,000 USD
We have been made aware of fraudulent interview requests being sent using the Twin Health’s name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.
Lead end-to-end Power BI analytics engagements for enterprise clients, designing scalable data solutions and driving adoption across organizations.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is looking for a Principal Analytics Consultant who specializes in Power BI to lead complex analytics engagements and help customers realize measurable value from their data.
In this role, you will combine deep Power BI expertise with strong consulting judgment, executive presence, and delivery leadership. You will guide clients from strategy and discovery through solution design, development, deployment, governance, and adoption. You will translate ambiguous business needs into scalable analytics products that support better decisions and sustainable ways of working with data.
You will work closely with client executives, business stakeholders, technical teams, account leaders, and consultants across phData. You will also help shape Power BI delivery standards, reusable accelerators, enterprise adoption approaches, and the continued growth of the Analytics practice.
You are a client-focused analytics leader who enjoys solving complex data problems and creating practical, well-designed solutions. You bring strong technical judgment and can move comfortably between business strategy, analytics architecture, hands-on Power BI development, executive conversations, and team leadership.
You are comfortable leading through ambiguity, influencing without authority, and operating in distributed, global teams. You communicate clearly with both technical and business audiences and are energized by helping organizations establish sustainable, value-oriented ways of working with data.
Preferred qualifications help candidates stand out but are not required for success in this role.
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Designs and maintains data pipelines and analytics infrastructure to enable data-driven decision-making across the organization.
Analyzes pricing data and strategies to optimize product pricing and revenue decisions.
Builds and maintains data pipelines, analytics infrastructure, and SQL models to enable data-driven decision-making across the organization.
Builds and maintains scalable data models using dbt and SQL to enable enterprise analytics, reporting, and data-driven decision-making across the organization.
At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.
The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.
You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.
#LI-AL1
Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!
When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!
As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.
About FiscalNote
FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.
Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.
At FiscalNote, We Lead with Values
Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family
Company Benefits
FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.
FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.
FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.
Designs and maintains scalable SQL/dbt data models and analytics infrastructure to enable enterprise decision-making across departments.
At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.
The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.
You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.
#LI-AL1
Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!
When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!
As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.
About FiscalNote
FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.
Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.
At FiscalNote, We Lead with Values
Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family
Company Benefits
FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.
FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.
FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.
Leads enterprise data governance strategy, frameworks, and quality management while ensuring regulatory compliance and supporting AI/analytics initiatives.
The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth’s data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives.
Essential Duties and Responsibilities
· Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision.
· Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs.
· Facilitate decision-making on data standards and help resolve cross-functional data conflicts.
· Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency.
· Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols.
· Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries.
· Work with Security to define data classification levels and manage high-risk data access policies.
· Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates.
· Align data governance priorities with organizational objectives and regulatory requirements.
· Mentor and develop team members as the data governance capability grows.
Minimum Qualifications, Education and Experience
· Bachelor’s degree in Computer Science, Information Security, Information Management, or a related field, or equivalent practical experience (required).
7 to 10 years of progressive experience in Data Management, Data Governance, or Information Architecture in healthcare, medical technology, or another highly regulated industry (required).
Strong experience with DAMA-DMBOK frameworks and data quality lifecycle management (required).
Deep understanding of data profiling tools, metadata management, and modern data stack concepts (required).
Experience with AI systems in production or product development contexts (required).
Excellent written and oral communication skills, including explaining complex concepts to diverse audiences (required).
High level of integrity and confidentiality (required).
Preferred: Master’s degree or advanced relevant certifications.
Quality Standards
· Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.
· Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
· Follows all local, regional and country laws concerning employment.
· Follows all DeepHealth policies and procedures.
· Follows data privacy, compliance, safety and confidentiality standards at all times.
· Practices universal safety precautions.
· Promotes good public relations on the phone and in person.
· Adapts and is willing to learn new tasks, methods, and systems.
· Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.
· Completes job responsibilities in a quality and timely manner.
Travel
This position requires travel up to approximately 10%.
Working Environment
European Union. Remote-friendly or office-based role.
Physical Demands
The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.
Salary:
115,000.00-130,00.00 EURO
100,000.00-110,000.00 in France
Builds and maintains dbt models and analytics infrastructure to enable data-driven decision-making across the organization.
At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.
The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.
You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.
#LI-AL1
Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!
When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!
As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.
About FiscalNote
FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.
Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.
At FiscalNote, We Lead with Values
Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family
Company Benefits
FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.
FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.
FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.
Leads a data analytics and insights team focused on customer experience, translating data into actionable business insights.
Leads a data analytics and insights team focused on customer experience, driving data-driven decision-making across the organization.
Owns end-to-end data stack including warehouse, pipelines, BI layer, and AI integration while enabling self-service analytics across the business.
Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.
We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.
What we’re looking for:
This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.
That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.
2. Own the analytics stack
3. Drive AI adoption
AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.
AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.
Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).
AI fluency: Hands-on experience using AI tools in a real workflow.
Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.
Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.
Compensation
Holidays, working environment and other perks
