Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Staff Product Analyst, Product Analytics
San Mateo, Los Angeles, or San Diego, United States
This role will serve as a strategic analytics lead across multiple product and business areas, partnering closely with Product, Engineering, Data Science, Analytics Engineering, Finance, and other cross-functional teams. The Staff Product Analyst will be responsible for identifying long-term monetization and product growth opportunities, shaping product strategy through data-driven insights, and establishing scalable measurement frameworks that support decision-making across initiatives.
Responsibilities
Serve as a strategic analytics thought partner
, using data to shape product strategy, challenge assumptions, identify opportunities and risks, and influence key decisions.
Lead analytics strategy for complex product areas
, partnering with Product, Engineering, Business, and Data teams to translate strategic objectives into KPIs, targets, measurement frameworks, and actionable insights.
Lead measurement and experimentation strategy
, including A/B testing and causal inference approaches, ensuring rigorous methodologies are applied to evaluate product impact and inform investment and launch decisions.
Own complex, ambiguous analytics initiatives end to end
, defining the analytical approach, integrating complex data, and applying advanced analytical techniques to uncover insights and translate them into clear, actionable recommendations.
Influence and communicate with senior stakeholders
, developing concise, compelling narratives that connect analytical findings to business outcomes and drive action.
Elevate Product Analytics capabilities,
establishing scalable frameworks and best practices while mentoring analysts on analytical approaches, stakeholder management, and communication.
Qualifications
Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 10+ years of relevant professional experience in product analytics, business analytics, data science, or a related analytical role. A related Master’s Degree is a plus.
Demonstrated experience leading complex, cross-functional analytics initiatives with a high degree of autonomy
, including situations where requirements, ownership, or the path forward were ambiguous.
Proven ability to
influence product strategy and decision-making across teams and senior stakeholders
. Strong product and
business acumen
, with experience translating broad business objectives into analytics and measurement strategies, KPIs, experimentation plans, and actionable recommendations.
Deep experience with experimentation and measurement, including A/B testing, hypothesis testing, experiment design, and statistical analysis. Experience with causal inference or quasi-experimental methodologies is highly preferred.
Advanced SQL and proficiency in Python or R, with strong knowledge of statistical concepts and analytical modeling techniques. Experience with user journey tools (e.g., Adobe CJA) and BI tools (e.g., Domo, Tableau) is highly preferred.
Strong leadership presence and communication skills
, with demonstrated ability to simplify complex analytical topics, develop compelling narratives, and communicate recommendations effectively to senior and executive audiences.
Demonstrated ability to
mentor and elevate other analysts
, establish analytical best practices, and improve methodologies and ways of working across teams.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$200,100
—
$300,100 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.
This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.
Key responsibilities
Data Infrastructure & Modeling
Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company
Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
Ensure appropriate data access controls including row and column-level security for sensitive candidate data
Pipeline Development & Integration
Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools
Create reliable data flows that handle both real-time needs and batch processing requirements
Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
Automate data quality checks and validation across all pipelines
Analytics Engineering & Modeling
Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users
Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement
Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company
Minimum qualifications
Are an expert in BigQuery including optimization and partitioning
Have built dimensional models and understand slowly changing dimensions
Are proficient in SQL, Python, and modern tools like dbt and Fivetran
Have implemented data security and privacy controls in cloud warehouses
Can translate HR concepts into scalable data models
Communicate effectively with both technical and business stakeholders
Preferred qualifications
Have 5+ years in data engineering
Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
Experience with building semantic layers for data agents
Experience building data pipelines for survey data and text analytics
Knowledge of graph databases or network analysis libraries
Background in privacy-enhancing technologies or sensitive data handling
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with workforce planning and predictive analytics use cases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
ROLE OVERVIEW
This Treasury lead will report directly to the Treasurer and is responsible for building out the suite of analytic tools to enhance Treasury infrastructure and increase the visibility and value of cash and capital at the firm. The Analytics lead will be tasked with building cash forecasting, capital, balance sheet, and risk models to inform key strategic decisions. We are working to be an Ai native company and would expect this person to incorporate Ai in these builds; we have unlimited tokens here as well. This role combines strategic lens with hands-on execution, ensuring optimal cash utilization, robust forecasting, and effective capital adequacy management. The individual will work closely with finance leadership, accounting, strategic finance, FP&A, and financial operations to support the company's growth and financial and build out a longer term plan for capital efficiency.
KEY RESPONSIBILITIES
1. CASH FORECASTING
- Improve short, medium, and long-term cash flow forecasts, incorporating business inputs, financial projections, and historical data
- Integrate cash forecasts into corporate-level models to inform budget and capital planning
- Partner with treasury and financial operations teams on implementing strategies to improve cash usage
2. TREASURY DATA INFRASTRUCTURE & STRATEGY
- Define and build the core treasury data set (cash positions, balance sheet, counterparty, and market data) as the foundation for all downstream models
- Establish a treasury data strategy: sourcing, ownership, quality standards, and integration with corporate finance and accounting systems
- Evaluate and implement tools and infrastructure to support scalable model-building and reporting
3. ALM, RISK MODELING & COST OF CAPITAL
- Build foundational ALM models to inform cash and investment strategies
- Build initial cash and capital utilization frameworks to consider and evaluate business lines and inform funding strategies
- Enhance interest rate risk models to assess exposure across the balance sheet and inform hedging and investment decisions
- Build FX risk models to monitor and manage currency exposure across entities and business lines
- Design and run stress testing and scenario analysis frameworks to evaluate resilience of cash, capital, and liquidity positions under adverse conditions
- Enhance balance sheet modeling with scenario capabilities to project evolution of balance sheet under different business and market environments
4. REPORTING, CONTROLS & PROCESS IMPROVEMENT
- Enhance treasury reporting for cash, liquidity, funding, and counterparty exposure for management visibility
- Strengthen treasury controls, documentation, and operational processes
- Enhance and automate reconciliation processes
5. COMPLIANCE & CAPITAL ADEQUACY OVERSIGHT
- Ensure compliance with investment policies and capital requirements
- Oversee inputs and operational support for the capital adequacy and liquidity management framework
- Partner with legal, risk, and compliance teams to ensure treasury activities align with regulatory and internal governance standards
QUALIFICATIONS & SKILLS
- Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA, CFA, or CA preferred
- 7–10+ years of experience in corporate treasury, liquidity management, or related analytical field
- Prior experience at a large bank or major fintech
- Experience prompting and using Ai for operational efficiencies
- Strong understanding of financial statements, cash management structures, forecasting, ALM and other core treasury models, and banking products
- Experience building or scaling treasury/finance data infrastructure; proficiency in SQL and BI tools (e.g., Tableau, Looker) a plus
- Proven ability to balance strategic thinking with hands-on operational execution
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Задачи:
— Построение семантического слоя для финансовой отчетности, превращая бизнес-логику в надежные наборы данных золотого уровня.
— Создание аналитического слоя для маркетинга и роста, обеспечивая самостоятельную отчетность по привлечению, воронкам и эффективности кампаний.
— Определение масштабируемости аналитической инженерии в команде, поддержка моделей данных других аналитиков и формирование технических стандартов.
Обязанности:
— Владение семантическим слоем для финансовой отчетности, обеспечивая единый источник правды для бизнес-метрик.
— Владение аналитическим слоем для маркетинга и роста, от моделирования данных до самостоятельной отчетности.
— Создание и поддержка моделей dbt (staging, intermediate, marts) с тестами, документацией и переиспользуемыми макросами.
— Проектирование масштабируемых моделей данных в слоях Databricks silver и gold с применением размерного моделирования.
— Поддержка других аналитиков в оптимизации моделей данных при проблемах с производительностью или надежностью.
— Вклад в определение стратегии и стандартов аналитической инженерии по мере роста команды.
Требования:
— Сильные навыки SQL, включая сложные запросы, оконные функции и оптимизацию запросов на больших данных.
— Практический опыт работы с dbt: модели, макросы, тесты, документация и CI.
— Опыт размерного моделирования (3NF/Inmon, star schema, anchor modeling).
— Опыт построения семантических слоев или поддержания единого источника правды для бизнес-метрик.
— Опыт в банковской сфере или финтехе будет плюсом, особенно в моделировании данных для финансовых продуктов.
— Уверенность в работе с Git в ELT-воркфлоу.
Условия:
— Владение и гибкость в работе.
— План опционов на акции с четырехлетним вестингом и 25% клиффом после первого года.
— Удаленная работа с основными часами сотрудничества с 12:00 до 19:00 по манильскому времени (UTC+8).
— Предоставление инструментов и оборудования компанией.
— Медицинская страховка для сотрудника и семьи с софинансированием или возмещением, в зависимости от местоположения и политики.
— Доступ к внутреннему специалисту по психическому здоровью.
— 22 дня отпуска, государственные праздники Филиппин и 15 больничных дней.
— Возможности для роста и обмена опытом через внутренние встречи экспертов, внешние конференции, выступления и публикации.
— Спонсируемые компанией поездки в Манилу для личных встреч с командой.
— Регулярные командные выезды, спортивные мероприятия и события.
— Возможность для высокоэффективных команд получить неделю в пляжном доме в Юго-Восточной Азии.
Задачи:
— сформировать стратегию развития аналитики
— развивать команду аналитиков
— помогать растить выручку за счёт поиска точек роста, корректной оценки эффекта и быстрой проверки гипотез
— внедрять AI-инструменты и автоматизацию в работу аналитиков
— развивать self-service подход для других команд
Требования:
— усилить экспертизу команды аналитиков
— внедрить современные подходы к экспериментам и анализу эффектов
— сделать аналитиков полноценными партнёрами продукта и бизнеса в принятии решений
What you’ll do
Participate in the Master Class Program designed to pivot experienced professionals into Life Sciences Consulting.
Own key workstreams on customer-facing engagements early in the program to create high-impact business solutions.
Collaborate with team members at all levels of Veeva to accelerate consulting skills development.
Contribute to building effective business and operational improvement strategies powered by Veeva’s industry insights and technology.
Support initiatives focused on speeding drug development, launching treatments more effectively, and shaping optimal customer engagement.
Who you are
You are graduating with an advanced degree or have 3-5 years of industry experience.
You are excited to pivot your career into consulting for the Life Sciences industry.
You are eager to join a program with an anticipated start date of April 2027.
Requirements
Advanced degree or 3-5 years of industry experience in a relevant field.
Interest in transitioning into Life Sciences Consulting through the Master Class program.
Ability to contribute to customer-facing engagements and collaborate across teams.
Benefits & perks
Structured Master Class program designed to accelerate consulting skills development.
Exposure to industry-leading software, data, AI, and consulting expertise.
Team description
Veeva Business Consulting combines deep domain knowledge with innovative technology to help Life Sciences companies work more efficiently and connectedly.
The team focuses on speeding drug development, launching treatments, and shaping stakeholder engagement using Veeva’s industry insights and technology.
Location
France (Master Class program, anticipated start April 2027).
Location: București, Romania
Workplace: hybrid
About us
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
About the Role
We are looking for a Product Data Analyst to join the UXMatrix Product Team and help establish a consistent, evidence-based approach to product development and optimization. You will define how product performance and user behaviour are measured, ensure that the necessary data is collected accurately, and transform that data into insights and recommendations that Product Owners, UX Designers, Engineering teams, and business stakeholders can act upon. This role extends beyond dashboard creation and regular reporting. You will investigate user journeys, identify friction and opportunities, support product discovery, define feature-success criteria, and determine whether released initiatives achieve their intended customer and business outcomes. You will work across UXMatrix products, with a particular focus on critical frontend journeys such as registration, login, deposit, sportsbook navigation, event discovery, bet placement, casino discovery, promotions, content interaction, and customer retention.
What You'll get to do:
Product Measurement Strategy
Work with Product Owners and stakeholders to translate business objectives into measurable product outcomes and KPIs. Establish clear success criteria before features and initiatives enter development.
Define leading and lagging indicators across acquisition, activation, engagement, conversion, retention, and feature adoption.
Help product teams distinguish between activity metrics, diagnostic metrics, and measurable customer or business outcomes.
Ensure product recommendations are supported by reliable data, user research, or clearly documented hypotheses.
Analytics Tracking and Data Quality
Define and maintain analytics tracking plans for websites, applications, widgets, and critical user journeys.
Translate business questions and measurement objectives into clear technical tracking requirements.
Validate analytics implementations before and after release.
Monitor data quality and investigate broken events, incomplete parameters, unexpected changes, and reporting discrepancies.
Ensure that tracking implementations comply with consent, privacy, security, and applicable regulatory requirements.
Product and User-Behaviour Analysis
Identify abandonment points, friction, behavioural patterns, and opportunities for improvement.
Segment users according to relevant characteristics such as acquisition source, device, market, lifecycle stage, product preference, engagement level, or previous behaviour.
Conduct funnel, cohort, retention, conversion, path, and behavioural analyses.
Analyze critical user journeys
Combine quantitative data with UX research, customer feedback, technical performance, and operational context.
Reporting and Data Visualization
Build and maintain dashboards that provide stakeholders with a clear view of product performance.
Create reporting views appropriate for Product Owners, UX teams, Engineering teams, operators, commercial stakeholders, and senior management.
Present trends, anomalies, risks, and opportunities clearly and concisely.
Reduce dependency on manual reporting by developing reusable and automated dashboards.
Ensure KPI definitions remain consistent across products, teams, and reports.
Deliver focused analysis and actionable recommendations rather than reporting data without interpretation.
Product Discovery and Decision Support
Support Product Owners during product discovery by evaluating evidence, sizing opportunities, and identifying behavioural problems.
Provide data to support roadmap prioritization, business cases, and investment decisions.
Help product teams formulate measurable hypotheses for proposed product changes.
Challenge assumptions and stakeholder requests when they are not supported by evidence or a clearly defined customer problem.
Conduct market, benchmark, and competitor analyses when relevant to product decisions.
Contribute relevant data and insights to product reviews, client presentations, RFP responses, and strategic discussions.
Experimentation and Feature Evaluation
Define hypotheses, success metrics, guardrail metrics, and evaluation criteria for product experiments.
Support A/B tests, controlled rollouts, phased releases, and other product-validation methods.
Conduct post-launch reviews to determine whether delivered features achieved their intended outcomes.
Track whether recommendations lead to product changes and measurable improvements.
Stakeholder Collaboration
Work closely with Product Owners, UX Designers, Developers, QA Engineers, Architects, BI teams, operators, and commercial stakeholders.
Facilitate workshops to define business questions, KPIs, success criteria, and tracking requirements.
Proactively identify relevant insights rather than working exclusively from reporting requests.
Establish a regular product-insight cadence through reviews, reporting, and focused deep-dive analyses.
Keep stakeholders informed about measurement gaps, data-quality risks, and significant product-performance changes.
What we’re looking for:
At least three years of experience in product analytics, digital analytics, business intelligence, data analysis, or a comparable analytical role.
Previous experience in sportsbook, iGaming, gaming, fintech, e-commerce, or another transactional or regulated digital industry.
Strong SQL skills and experience extracting, combining, validating, and analyzing data from multiple sources.
Experience analyzing digital-product behaviour, including user journeys, conversion, engagement, feature adoption, and retention.
Experience defining analytics events, parameters, tracking plans, event taxonomies, and measurement frameworks.
Practical experience with analytics and visualization tools such as GA4, Microsoft Clarity, Power BI, Looker, Tableau, Amplitude, Mixpanel, or equivalent platforms.
Ability to transform complex data into clear findings and actionable product recommendations.
Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences.
Strong attention to detail and a disciplined approach to data quality and validation.
Experience collaborating with Product, UX, Engineering, QA, BI, and commercial teams.
Good understanding of web and mobile application behaviour, including client-side and server-side tracking.
Professional proficiency in English.
A degree in statistics, mathematics, computer science, economics, business, or another relevant discipline.
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: United Kingdom (Hybrid); United Kingdom (Remote); United States
Workplace: Remote
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥
MEET THE TEAM 👥
Here at Cleo we have team of ~135 member in our Borrow Pillar and ~8 dedicated to Credit Policy and Analytics. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap.
ABOUT THE ROLE ✍️
We're hiring a Head of Data Science to lead credit performance measurement and monitoring within our Risk & Payments pillar. This is a player-coach role: you'll manage a team of Credit Data Scientists and Analysts, splitting your time between hands-on analysis and leading the team - setting direction, developing people, and owning the function's output.
You'll own the frameworks and metrics that keep our credit products healthy, and drive the deep-dive analyses that explain performance shifts and turn them into action. Key areas of impact:
- Own credit performance measurement - design and maintain Cleo's risk metric framework (arrears, default, yield, LTV, marginal loss), and the dashboards/alerts that catch arrears spikes, roll-rate shifts, and decisioning anomalies early.
- Bridge model health and business decisions - partner with Risk Modelling to translate model metrics (AUC, PSI, calibration, drift) into policy and product recommendations, and diagnose whether performance moves are model-driven, macro, or operational.
- Lead root-cause analysis - own investigations end-to-end (question → analysis → recommendation) on issues like arrears spikes or yield compression, using driver analysis (SHAP, feature importance, decomposition), and present findings to Risk, Product, and Leadership.
- Support policy and decisioning - work with Credit Policy and Decision Science to build evaluation frameworks for policy changes, quantify their marginal impact, and support elasticity/profitability modelling on pricing and limits.
- Manage and develop a team - directly manage Credit Data Scientists and Analysts: set priorities, manage performance, and grow the team, not just direct project work.
WHAT WE'RE LOOKING FOR 🕵️
- Strong SQL and Python skills, comfortable working directly from the warehouse
- Track record owning analyses end-to-end - from framing the question to shipping a recommended change
- Hands-on experience with predictive models (credit, fraud, or similar), fluent in AUC/Gini, calibration, PSI/CSI, and drift
- Fluency in credit portfolio metrics (arrears buckets, roll rates, loss rate, yield/marginal loss) and how they tie to unit economics
- Experience directly managing analysts or data scientists - priorities, performance, and people development
- Nice to have: experience with short-term or revolving credit products
- Nice to have: experience with both UK and US regulatory frameworks
WHAT WE OFFER
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈
WHAT MATTERS
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Location: Colombia
Reports to:
Executive Director
Location:
Fully Remote
About the Company
Our client is a fast-growing, forward-thinking organization focused on reimagining how businesses operate through innovation, care, and agility. Their culture emphasizes collaboration, transparency, and trust, with a strong focus on empowering team members to take ownership, share ideas openly, and grow alongside the business. They value speed, adaptability, and continuous learning, and they celebrate progress and wins at every stage.
About the Role
The Finance & Data Analytics Manager will serve as the strategic owner of the company’s financial visibility and business performance insights. This role is responsible for overseeing financial operations while transforming data into actionable intelligence that supports decision-making across leadership, sales, and operations. The position blends finance, analytics, and operational reporting, with ownership over forecasting, financial reporting, sales analytics, and cash flow visibility. Success in this role requires the ability to connect financial data with operational outcomes and ensure leadership has clear, timely insights to act with confidence.
Responsibilities
Manage and analyze sales, expense, and performance data to produce clear, data-driven insights
Build and maintain dashboards and financial models that track overall company health and sales performance
Oversee bookkeeping and ensure financial records are accurate, organized, and current
Lead payroll review, billing, and payment processes with a focus on accuracy and timeliness
Review and process agent invoices and commission calculations
Reconcile accounts and track inventory across systems to ensure data consistency
Partner with leadership on revenue forecasting, growth modeling, and KPI tracking
Identify opportunities to improve processes and automate finance and reporting workflows
Experience & Education
5+ years of experience in finance, FP&A, or data analytics roles
Experience in e-commerce, DTC, or fast-moving startup environments
Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field
Advanced proficiency in Excel/Google Sheets (pivot tables, dashboards, automation)
Experience with financial and reporting tools (e.g., QuickBooks, Airtable, Power BI)
Familiarity with workflow and automation tools such as Zapier, n8n, and Make
Comfortable working with project and data visualization tools like Asana, Vibe Canvas, and Lucid
Experience integrating data across systems to create unified dashboards or reporting flows
Certifications (Preferred, Not Required)
CPA, CFA, or data analytics-related certification
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Senior Marketing GTM Analytics Marketing to serve as the strategic analytics partner to Marketing and its cross functional partners. This manager level individual contributor will connect customer, campaign, product usage, and revenue data to help leaders improve conversion, prioritize investments, and accelerate pipeline growth.
RESPONSIBILITIES:
- Serve as the strategic analytics partner to Marketing, translating ambiguous questions into clear analyses, recommendations, and measurable actions.
- Own lead and account funnel analytics, including conversion, velocity, quality, cohort performance, and the drivers of strong or weak outcomes.
- Define trusted attribution and return on investment methodologies for marketing programs, including marketing development funds, co marketing, and marketing funded SPIFFs.
- Develop the targeting and measurement model for an inside sales motion into product led growth prospects.
- Build account intelligence and scoring to support account based marketing, expansion, and new product adoption.
- Lead the analytical narrative for Marketing QBRs, operating reviews, and planning, connecting activity to pipeline and revenue.
- Design experiments and measurement plans that identify which programs and growth motions should scale, change, or stop.
- Build scalable datasets, dashboards, and quality controls in partnership with Marketing Operations, Sales Operations, Finance, and Data teams.
QUALIFICATIONS
- 7 or more years of experience in marketing, growth, revenue, or GTM analytics, ideally in B2B SaaS.
- Advanced SQL skills and experience with customer, campaign, product usage, CRM, and cloud warehouse data.
- Strong knowledge of demand generation, funnel measurement, attribution, experimentation, account based marketing, and pipeline economics.
- Ability to independently structure complex problems and deliver defensible, decision ready recommendations.
- Experience building scalable dashboards and data products. Salesforce experience is strongly preferred.
- Excellent executive communication, high standards for accuracy, and the ability to influence senior stakeholders without direct authority.
- Comfort operating as a strategic, hands on individual contributor.
WHAT TO EXPECT
FIRST 30 DAYS — LEARN AND ASSESS
- Ramp on Salesforce, Snowflake, Sigma, and existing marketing reporting
- Understand marketing programs, funnel definitions, attribution methodology, and end of quarter reporting processes
- Build relationships with Marketing, Field Marketing, RevOps, Finance, and Data partners
- Identify gaps in reporting coverage, data quality, and decision support
- Support recurring and ad hoc analysis to build business context
FIRST 60 DAYS — OWN AND IMPROVE
- Take ownership of core marketing reporting and end of quarter deliverables
- Improve existing dashboards and reporting for accuracy, usability, and actionability
- Establish a consistent support model and feedback loop with Field Marketing
- Begin analysis of funnel conversion, campaign performance, and pipeline contribution
- Align core marketing metrics and definitions across Marketing, RevOps, and Finance
FIRST 90 DAYS — DELIVER INSIGHTS AND IMPACT
- Independently deliver accurate, executive ready marketing reporting for QBRs and other business reviews
- Provide actionable insights into funnel performance, pipeline creation, and marketing investment effectiveness
- Deliver an initial priority analysis, such as Field Marketing ROI, ABM targeting, or PLG and ISR opportunity identification
- Recommend improvements to marketing measurement, attribution, and investment decisions
- Reduce recurring ad hoc requests through scalable dashboards and self service reporting
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$165,900 – CA$237,000 + equity
United States: $119,700 – $181,000 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Задачи:
— Взять на себя ответственность за домен финансовых данных
— Обеспечить точность, надежность и доверие к данным для отчетности и планирования
Требования:
— Сильные навыки Python и SQL
— Опыт работы с dbt и построением моделей данных
— Коммерческий опыт работы с финансовыми или платежными данными
— Опыт процессов сверки и контроля качества данных
— Свободное владение русским языком
— Уверенность в работе с неструктурированными, дублированными, задержанными или неконсистентными данными
— Сильное чувство ответственности и способность работать автономно
— Умение глубоко анализировать данные и объяснять сложные вопросы финансовым и бизнес-стейкхолдерам
Условия:
— Полностью удаленная работа или гибридный формат в Кипре
— Гибкий график
— Конкурентная компенсация и опционы на акции
— Обеспечение оборудованием
— 21 день ежегодного отпуска плюс местные праздничные дни
Location: Kazakhstan; Kyrgyzstan; Uzbekistan
Workplace: Hybrid
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role:
You'll build the analytics layer for Finance and Marketing & Growth — two areas that only get partial coverage today — and help shape how analytics engineering scales as the team and data volume grow.
What you'll do:
- Build the semantic layer that powers Finance's financial reporting, turning business logic into reliable, gold-layer datasets.
- Build the analytics layer for Marketing & Growth, enabling self-service reporting on acquisition, funnels, and campaign performance.
- Help define how analytics engineering scales across the team — supporting other analysts' data models and shaping technical standards.
What you'll own:
- Own the semantic layer for financial reporting, ensuring one consistent source of truth for business metrics.
- Own the analytics layer for Marketing & Growth, from data modeling to self-service reporting.
- Build and maintain dbt models (staging, intermediate, marts) with tests, documentation, and reusable macros.
- Design scalable data models in Databricks silver and gold layers, applying dimensional modeling.
- Support other analysts across the data team, optimizing self-built data models when performance or reliability issues come up.
- Contribute to defining the strategy and standards for analytics engineering as it grows.
What makes you a strong fit:
- Strong SQL expertise, including complex queries, window functions, and query optimization on large datasets
- Hands-on experience with dbt — models, macros, tests, documentation, and CI workflows
- Strong dimensional modeling experience (3NF/Inmon, star schema, or anchor modeling)
- Experience building semantic layers or maintaining a single source of truth for business metrics
- Experience in banking or fintech is a plus, especially data modeling for financial products
- Comfortable working in Git-based ELT workflows
What we offer:
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Remote-first role, with collaboration hours from 10:00 Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Canada, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo.
We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games.
As a Lead Analytics Developer,
you’ll work in our cross-disciplinary engineering team to scale our platform, expand its reach, and help define and build the future of analytics for PlayStation games. You should have a passion for video games and a background in data or analytics engineering. You’re looking for a fun, dynamic environment to take on new challenges.
In your first six months
, you will work on new title launches, and build data models to ensure efficient and consistent queries. To build these data models, you’ll work directly with game studios and data analysts to design and validate suitable in-game telemetry. You’ll also help expand our use of technologies, such as dbt and airflow, in ways that are suitable to our use cases. You will be given ownership of data models for specific games and work closely with Game Analytics team members and game studio colleagues to ensure we’re building with consistency and performance in mind.
We’d love to hear from you if:
You are adept at writing SQL on analytics (OLAP) databases (preferably Redshift, or similar databases)
You have experience implementing and using data modelling tools such as dbt or SQLMesh
You have experience in transforming business needs into data model requirements & solutions
You’re excited by Big Data projects and technology, and want to gain more experience in this area
You’re committed to quality as a top priority, and have an interest in repeatable, testable, destructible, test-driven database development
Bonus points for:
a degree in Computer Science
experience with Python, AWS Glue, source control (Git, Liquibase), Airflow
familiarity with AAA game development and modern console games
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.
$141,900
—
$212,900 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Canada
What the Role Is
As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table.
Who You Are
Deep eCommerce or retail analytics experience
- fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch
Proven at balancing people management with hands-on IC work
- you can point to analysis you've owned yourself while leading a team, not just work you've coordinated
Experienced managing experienced analysts
- you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work
Confident partnering with VP+ stakeholders
- you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives
Hands-on with AI-native analytics
- you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards
Engaged in what we're building
- you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation
Prioritizes progress over perfection
- you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing
8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level
You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities
High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context
Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights.
Strong knowledge of data governance, data quality management, and data strategy principles.
How You Will Make An Impact
Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders
Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance
Partner directly with senior leaders in each area, with regular exposure to the executive team
Define and steward the KPI and reporting standards these functions run on
Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data
Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide
Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed
Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders
Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits
Why This Role
You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist
This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders
Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about
Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: United States
What the Role Is
As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table.
Who You Are
Deep eCommerce or retail analytics experience
- fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch
Proven at balancing people management with hands-on IC work
- you can point to analysis you've owned yourself while leading a team, not just work you've coordinated
Experienced managing experienced analysts
- you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work
Confident partnering with VP+ stakeholders
- you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives
Hands-on with AI-native analytics
- you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards
Engaged in what we're building
- you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation
Prioritizes progress over perfection
- you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing
8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level
You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities
High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context
Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights.
Strong knowledge of data governance, data quality management, and data strategy principles.
How You Will Make An Impact
Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders
Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance
Partner directly with senior leaders in each area, with regular exposure to the executive team
Define and steward the KPI and reporting standards these functions run on
Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data
Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide
Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed
Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders
Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits
Why This Role
You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist
This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders
Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about
Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$228,250 to $273,900 + 20% target bonus and competitive equity
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
География найма не уточнена
УдалённоleadUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
