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data analyst

Chime

<div>
 
 About The Role
 
 
 
 As a Spending Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build products that make Chime banking the best place to spend, save and invest. Spending XFN organization&rsquo;s mission is to deliver industry-leading spending products that members want to keep top of wallet. Our spending products help our members spend and manage their money, offering unmatched simplicity, rewards, and tools that bring them financial progress. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.
 
 
 In this role, you will work closely with product managers, risk, engineers, product &amp; lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.
 
 
 The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
 
 
 
 In this role, you can expect to
 
 
 
 <ul>
 <li>
 Partner widely with product, engineering, research, and design to translate your insights to guide product development. You&rsquo;ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
 </li>
 <li>
 Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
 </li>
 <li>
 Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
 </li>
 <li>
 Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
 </li>
 <li>
 Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
 </li>
 <li>
 Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.
 
 
 </li>
 </ul>
 
 To thrive in this role, you have
 
 
 
 <ul>
 <li>
 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
 </li>
 <li>
 Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
 </li>
 <li>
 Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
 </li>
 <li>
 Familiarity in R or python - you write reproducible code and have a tendency toward automation.
 </li>
 <li>
 Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
 </li>
 <li>
 Experience building metric frameworks to understand user behaviors.
 </li>
 <li>
 Ability to think holistically to solve business problems at hand and navigate through ambiguity.
 </li>
 <li>
 Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
 </li>
 <li>
 A focus on impact - you don&rsquo;t stop with just recommendations but ensure to see work through to changing the business.
 
 
 </li>
 </ul>
 
 A Little About Us
 
 
 
 At Chime, we believe that everyone can achieve financial progress. We created Chime&mdash;a financial technology company, not a bank*&mdash;on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
 
 
 We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
 
 
 We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
 
 
 We know that to achieve our mission, we must earn and keep people's trust&mdash;so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall&mdash;our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
 
 
 Because if we don't&mdash;who will?
 
 
 <ul>
 <li>
 Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
 
 
 </li>
 </ul>
 
 What We Offer For Our Full-time, Regular Employees
 
 
 
 <ul>
 <li>
 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you&rsquo;re coming in regularly or are part of our fully remote program, you&rsquo;ll stay engaged with your work and teammates.
 </li>
 <li>
 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
 </li>
 <li>
 💰 Competitive salary based on experience
 </li>
 <li>
 ✨ 401k match plus great medical, dental, vision, life, and disability benefits
 </li>
 <li>
 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
 </li>
 <li>
 🫂 1% of your time off to support local community organizations of your choice
 </li>
 <li>
 👟 Annual wellness stipend to use towards eligible wellness related expenses
 </li>
 <li>
 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
 </li>
 <li>
 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
 </li>
 <li>
 🎉 In-person and virtual events to connect with your fellow Chimers&mdash;think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
 </li>
 <li>
 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
 
 
 </li>
 </ul>
 We know that great work can&rsquo;t be done without a diverse team and inclusive environment. That&rsquo;s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
 
 
 Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
 
 
 To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
</div>

Senior Data Analyst, Spending

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 Samba is building the future of cross-channel media measurement, and we are seeking our next rockstar Measurement Analyst to build with us!
 
 
 
 Samba is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world&rsquo;s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more.&nbsp;
 
 
 
 At Samba, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science.
 
 
 
 
 
 
 
 
 What You'll Do
 
 <ul>
 
 <li>
 
 Analyst Tasks
 
 
 <ul>
 
 <li>
 Extract data from Samba databases (e.g. conversion rate by audience segment).
 </li>
 
 <li>
 Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel).&nbsp;
 </li>
 
 <li>
 Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics.&nbsp;
 </li>
 
 <li>
 Visualize data to make it more accessible internally and externally.
 </li>
 
 </ul>
 
 </li>
 
 <li>
 
 Administrative Tasks
 
 
 <ul>
 
 <li>
 Independently manage, maintain, and execute the JIRA board ticketing system.
 </li>
 
 <li>
 Define mechanisms (e.g. weekly standups, office hours) to manage workflows.
 </li>
 
 <li>
 Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Who You Are
 
 <ul>
 
 <li>
 
 The James/Jayne Bond of Data Analysis
 
 
 <ul>
 
 <li>
 Sophisticated technical mastery of SQL, Python, Databricks, BigQuery
 </li>
 
 <li>
 Cool under pressure - thrives in tackling high-stakes, complex data challenges.
 </li>
 
 <li>
 Resourceful in problem solving - enjoys working independently to solve issues.
 </li>
 
 <li>
 Unconventional - does things as they should be done, not have been done.
 </li>
 
 <li>
 Goal-oriented - relentlessly driven to achieve goals and team success.&nbsp;
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Required Skills &amp; Experience
 
 <ul>
 
 <li>
 4-8 years of experience in a technical data analyst role.
 </li>
 
 <li>
 Absolute technical fluency in SQL, Python, Databricks, BigQuery.
 </li>
 
 <li>
 Capabilities in statistical analyses, modeling, and exploratory data investigations.&nbsp;
 </li>
 
 <li>
 Strong communication skills, obsessively organized, meticulously detail-oriented.
 </li>
 
 <li>
 Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows.&nbsp;
 </li>
 
 </ul>
 
 
 
 
 Preferred Skills &amp; Qualifications
 
 <ul>
 
 <li>
 Experience in adtech and/or media, marketing, or measurement analytics.
 </li>
 
 <li>
 Experience independently managing JIRA or similar ticketing and prioritization systems.
 </li>
 
 <li>
 Experience identifying opportunities for scaling common asks into repeatable processes.
 </li>
 
 </ul>
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
 
 
 
 
 
 Actual salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba TV&rsquo;s total compensation package for employees. Other rewards may include an annual bonus opportunity, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
 
</div>

Measurement Analyst

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Computational Sciences Center of Excellence (CS CoE) brings together data, AI, and computational expertise to accelerate innovation across gRED and pRED. Within CS CoE, the Data and Digital Catalyst (DDC) organization leads the modernization of our data ecosystem, enabling scalable, data-driven science.
The Data Capability organization within DDC is responsible for establishing foundational data capabilities, including data connectivity, data compliance, scientific content management and data ingestion, curation, integration, and delivery. The team ensures that high-quality, well-structured datasets are available to power analytics, AI/ML, and scientific discovery across Research and Early Development.<div></div><div>
THE OPPORTUNITY:</div>
We are seeking an Associate Data Delivery Specialist to support the delivery and operationalization of real-world data (RWD) and clinical-genomic datasets sourced from external partnerships and public/purchased data collections.
In this entry-level role, you will contribute to the coordination, preparation, and delivery of multimodal, high-dimensional datasets, ensuring they are accessible, well-documented, and ready for use in research, analytics, and AI/ML workflows. You will also support interactions with external data providers and internal stakeholders to ensure efficient and compliant data usage.
You will work within a cross-functional environment spanning data engineering, data science, and research teams, helping to enable data-driven discovery across Roche&rsquo;s R&amp;D ecosystem.<ul><li>
RWD Data Operations &amp; Delivery 
Support intake, tracking, and fulfillment of real-world data requests, including clinical-genomic and multimodal datasets. Assist in preparing datasets for delivery, ensuring completeness, quality, and documentation.</li><li>
External Data Coordination 
Coordinate with external partners (e.g., Caris, FMI) to support data requests, query submissions, and data returns. Assist in managing communications, timelines, and deliverables.</li><li>
Data Governance &amp; Access Support 
Assist in managing data access workflows, ensuring appropriate approvals, training, and compliance with data usage agreements. Track data usage and maintain documentation.</li><li>
High-Dimensional Data Handling 
Work with sequencing, imaging, and proteomics datasets, supporting standardized formatting, validation, and integration readiness. Contribute to handling emerging multimodal data types and evolving standards.</li><li>
Data Delivery &amp; Quality Control 
Perform quality checks, metadata validation, and documentation to ensure datasets are analysis-ready. Support troubleshooting of data delivery issues and escalate when necessary.</li><li>
AI-Assisted Data Curation Support 
Contribute to early-stage efforts in AI-enabled data curation and harmonization, supporting improved scalability and efficiency in data delivery workflows.</li><li>
Collaboration Across Teams 
Partner with internal teams (e.g., AIBT, CBM, gRED TM, pRED DTAs) to support data integration and delivery needs across diverse scientific use cases.</li></ul>
Who You Are:<ul><li>
PhD and 0-2 years of experience, Master&rsquo;s degree and 3-5 years of experience or a Bachelor&rsquo;s degree and 4-7 years of experience in Data Science, Bioinformatics, Health Informatics, Biomedical Engineering, Computer Science, or a related field and experience working with real-world data, clinical data, or biomedical datasets</li><li>
Basic understanding of RWD sources (e.g., EHR, claims, registries, clinical-genomic datasets)</li><li>
Strong attention to detail and commitment to data quality and reliability</li><li>
Strong organizational and communication skills, with the ability to support multiple stakeholders</li><li>
You are someone who has the technical skills for: Programming: Python (Pandas) or SQL; familiarity with Bash is a plus. Data Formats: Experience with structured data (CSV, JSON, Parquet); exposure to scientific formats is a plus. Data Platforms: Exposure to cloud environments (AWS S3, GCS, or Azure). Tools: Familiarity with Jupyter notebooks, data portals, or workflow tools is beneficial</li></ul>
Preferred Qualifications:<ul><li>
Exposure to clinical-genomic or multimodal datasets (e.g., Caris, FMI, or similar)</li><li>
Familiarity with data governance and compliance in healthcare or life sciences</li><li>
Exposure to AI/ML workflows or data preparation for analytics</li><li>
Understanding of FAIR data principles and metadata standards</li><li>
Interest in working with external data partnerships and large-scale data ecosystems</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $127,800 - $237,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
May 12th 2026
</div><div>Job ID
202605-111673</div></ul></div></div></div></div>

Sr. Data Delivery Specialist (Public and purchased data collection)

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
 
 
 Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
 
 
 We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 Founder&rsquo;s Office is where the hardest problems land, and we help solve them for the entire business. We are a small team of former founders, operators, and investors embedded directly with leadership, taking on work of any kind, no matter how different or unique, to improve business operations. Strategy, corporate development, pricing, special projects, and analytics are a few examples. We are analytical and critical cross-functional thinkers from a diverse set of multidisciplinary backgrounds. If it is ambiguous, urgent, or high-stakes, we are probably already thinking about it.
 
 
 
 About The Role
 
 
 
 We are looking for someone to help us accelerate using AI across
 
 every
 
 facet of the company. You are AI-pilled and will not stop until everyone else at the company is too.
 
 
 You wear many different hats: vibe coder, strategist, data analyst, product manager, operations. We believe in building together, quickly.
 
 
 This is a fully in-office role based in our San Francisco office 5 days a week.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Build AI automation agents to make us efficient: design and deploy agents that translate company strategy and operational processes, into automated workflows, custom internal tools, and programmatic systems. Specifically: help automate manual sales processes, embed AI into growth marketing engines, maximize Claude skills in the post-sales org, and more. Unlock hundreds of Decagon teammates with their &ldquo;aha&rdquo; moment of your product.
 </li>
 <li>
 Build out intelligent solutions to make us more effective: build out an account mapping platform that helps sales and marketing identify the best individuals to target and break into accounts with. Leverage scrapers, search APIs, workflow automation tools, and LLMs to do this effectively, and efficiently.
 </li>
 <li>
 Be the AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal &ldquo;AI champions,&rdquo; and builders. Programmatically define templates and best practices into team norms. Turn them into people who can&rsquo;t live without the automation and will be very unhappy if it is taken away.
 </li>
 <li>
 Build out AI analytics: measure success by going deep into data, specifically around number of hours saved, and additional work delivered as a result of our efficiency and effectiveness gains. Become customer obsessed - customers being our internal stakeholders - and measure their happiness using our tools.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Experience: 1-3 years in a high growth technical environment. Roles that are inherently self-starters, entrepreneurial, or technical are also great fits, looking to make the switch into this new and emerging critical function for all companies.
 </li>
 <li>
 AI prompting foundations: some experience in some form with AI enablement, AI operations, or AI engineering roles. You are generally comfortable prompting your way to solutions, and sometimes needing to get into code / working with APIs, etc.
 </li>
 <li>
 Builder DNA: you are a curious learner and builder, skilled with new AI tools like Claude Code, Cursor, Notion AI, automation tools like Dust, Gumloop, n8n, Zapier, GTM enrichments like Clay and Unify, and search APIs like Exa, Parallel, Browserbase. Some familiarity with SQL, BI, managing data lakehouses, and scraping and scripting from DS notebooks, is a plus.
 </li>
 <li>
 Get it done mentality: a bias toward action and building "v1 MVP" today. You thrive in the ambiguity of a fast-paced AI startup.
 </li>
 <li>
 Strong communications: you can produce clear, concise presentation of information, and influence teams to use your products. You run training sessions that drive impact through leadership and communications, in every gap you find.
 </li>
 <li>
 Ability to manage cross-functional teams: able to work hands-on in workflows across Sales, Post-Sales, Finance, People/HR, Ops, BizOps, Marketing, EPD, and more. It&rsquo;s OK if you haven&rsquo;t done it before.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $150,000 - $215,000 + Equity
 
 
 
 Benefits
 
 
 
 We proudly offer the following benefits for our full-time employees:
 
 
 <ul>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Medical, Dental, and Vision benefits for you and your family
 </li>
 <li>
 Life Insurance and Disability Benefits
 </li>
 <li>
 Retirement Plan (e.g., 401K, pension)
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Fertility and family building benefits through Carrot
 </li>
 <li>
 Daily lunches and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
 
</div>

AI Transformation Specialist

Forage

<div>
 
 About Us
 
 
 
 Forage is building the modern payments stack that powers inclusive commerce. Our technology enables grocers, delivery platforms, and point-of-sale systems to seamlessly accept EBT payments both online and in-store. Beyond infrastructure, we&rsquo;re helping SNAP EBT shoppers stretch their grocery budgets every week, making healthy food more affordable and accessible to the 42 million Americans on food assistance.
 
 
 Backed by leading fintech investors, Forage is a fast-growing startup with a clear vision and real-world impact, feeding tens of thousands of families daily. Our team is made up of kind, driven individuals who take ownership, move quickly, and collaborate closely. We value humility, curiosity, and a shared commitment to making a difference.
 
 
 We&rsquo;re not just building payments infrastructure &mdash; we&rsquo;re helping feed tens of thousands of families each day, and transforming grocery access for millions more.
 
 Watch our story and see why we do what we do
 
 
 .
 
 
 
 
 What We Are Looking For
 
 
 
 We are hiring a Financial Analyst to support the scaling of Finance as Forage expands across multiple business lines (Core EBT, Consumer, HSA/FSA, WIC) and transitions toward GAAP-compliant reporting. This role will operate at the intersection of accounting and FP&amp;A. The ideal candidate is detail-oriented, analytically strong, and comfortable owning both execution and modeling in a fast-moving environment.
 
 
 This person will work directly with the Director of Finance and will have meaningful exposure to business strategy, pricing, and operating decisions.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in finance, accounting, or FP&amp;A
 </li>
 <li>
 Strong understanding of GAAP fundamentals
 </li>
 <li>
 Experience participating in month-end close (accruals, prepaids, reconciliations)
 </li>
 <li>
 Experience building and maintaining financial models and projections
 </li>
 <li>
 Advanced Excel or Google Sheets skills (comfortable building models from scratch)
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 High attention to detail and ownership mindset
 </li>
 <li>
 Ability to manage multiple workstreams in a fast-paced environment
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Background in Big 4 audit or accounting advisory
 </li>
 <li>
 Experience at a high-growth startup or fintech company
 </li>
 <li>
 Exposure to revenue recognition (ASC 606)
 </li>
 <li>
 Experience building multi-scenario financial models
 </li>
 <li>
 Familiarity with transaction-based or payment processing revenue models
 </li>
 <li>
 Experience with stock-based compensation accounting
 </li>
 <li>
 Experience supporting audits or GAAP transition
 </li>
 <li>
 Familiarity with payment processing or transaction-based revenue models
 </li>
 <li>
 Experience with accounting systems (e.g., QuickBooks or similar ERP tools)
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 
 Accounting &amp; Operations
 
 
 
 
 <ul>
 <li>
 Support transition toward GAAP-compliant accounting
 </li>
 <li>
 Assist with month-end, quarter-end, and year-end close processes
 </li>
 <li>
 Prepare accruals, prepaids, and revenue-related schedules
 </li>
 <li>
 Perform balance sheet reconciliations
 </li>
 <li>
 Help improve and scale accounting operations and close discipline
 </li>
 <li>
 Support AR/AP process improvements and documentation
 </li>
 <li>
 Assist with compliance reporting, filings, and internal control development
 
 
 </li>
 </ul>
 
 
 FP&amp;A &amp; Strategic Finance
 
 
 
 
 <ul>
 <li>
 Build and maintain financial models across multiple business units (Core EBT, Consumer App, HSA/FSA, expansions)
 </li>
 <li>
 Support consolidated forecasting and re-forecasting
 </li>
 <li>
 Assist with pricing analysis and unit economics modeling
 </li>
 <li>
 Analyze gross margins and cost drivers across BUs
 </li>
 <li>
 Prepare reporting packages and variance analysis
 </li>
 <li>
 Support new business line launches from a financial modeling perspective
 </li>
 <li>
 Assist with board and investor reporting preparation
 </li>
 <li>
 Contribute to ad hoc analyses tied to growth initiatives and strategic decisions
 
 
 </li>
 </ul>
 
 Our Offer
 
 
 
 <ul>
 <li>
 Your base salary would fall within the bands below. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.
 </li>
 <ul>
 <li>
 Financial Analyst: $115k-$135k, depending on experience and location.
 </li>
 </ul>
 <li>
 Meaningful work that makes a positive impact on our society.
 </li>
 <li>
 100% of Medical, Dental and Vision coverage for yourself and dependents.
 </li>
 <li>
 Enjoy regular team lunches at our San Francisco office, fostering collaboration and connection over great food.
 </li>
 <li>
 A fun and caring environment that prioritizes transparency, growth, and ownership.
 </li>
 <li>
 A talented, high-achieving, and humble team with diverse backgrounds and viewpoints.
 
 </li>
 </ul>
 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.
 
 
 We aim to review every application within 4 business days of submission and provide feedback on each of your interviews within 2 business days of completion. If you don't hear from us, please reach out to your recruiter or careers[at]joinforage[dot]com directly to get an update on your candidacy.
 
 
 
 Integrity &amp; Fairness:
 
 To maintain a fair and equitable hiring process for all candidates, we require that interviews and exercises be completed without the use of AI-powered tools. We assess candidates based on their direct experience, judgment, and communication.
 
 
 
 Please note:
 
 We are not engaging with third-party recruiters or agencies for this role. We kindly ask that you refrain from contacting us regarding recruitment services. Fees will not be paid for unsolicited resumes sent to Forage.
 
 
 
 Please note:
 
 Forage is unable to provide visa sponsorship for this role. Applicants must have work authorization that does not require visa sponsorship now or in the future.
</div>

Financial Analyst

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 
 
The Data Center Field Engineering Team is the engineering owner for the lifecycle of AWS data center mechanical and electrical infrastructure. This includes supporting new designs and innovations through data center end-of-life, with a focus on root cause analysis of failures, capacity and availability improvement, and optimization of the existing fleet. 
 
As a Senior Data Scientist on the Field Engineering Portfolio team, you will bring advanced analytical and machine learning capabilities to one of the most critical infrastructure organizations at AWS. You will develop scalable models and data-driven frameworks that measure, predict, and improve fleet performance &mdash; including data center availability, operational efficiency, and key performance indicators (KPIs) across the global AWS data center fleet. 
 
You are an exceptionally strong communicator, both written and verbally, capable of translating complex quantitative findings into clear recommendations for senior engineering and business leadership. You will work cross-functionally with Field Engineers, Operations, Commissioning, and Construction teams to ensure that data science solutions are grounded in operational reality and drive measurable impact. 
 
You will partner with engineering teams and program managers to define metrics, identify performance gaps, and build the analytical infrastructure needed to support strategic decisions at hyper-scale. You must be adept at operating in ambiguous, fast-moving environments where speed of insight can matter as much as analytical precision. 
 
The ideal candidate brings strong problem-solving skills, stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will develop scalable analytical approaches to evaluate performance across the data center fleet to identify regional and site-specific insights, design and run experiments, and shape our development roadmap. You will build cross-functional support within the Data Center Community to assess business problems, define metrics, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps. 
 
Key job responsibilities 
<ul><li>Develop and maintain scalable models and analytical frameworks to measure and predict data center fleet performance, including availability, efficiency, and reliability KPIs across the global AWS infrastructure portfolio.</li><li>Apply advanced statistical and machine learning techniques to extract actionable insights from complex, large-scale operational datasets generated by data center systems (power, cooling, controls, etc.).</li><li>Partner with Field Engineers, Operations, and Portfolio Managers to identify high-impact opportunities for capacity and availability improvement, translating engineering domain knowledge into quantitative problem formulations.</li><li>Design and implement end-to-end data science workflows &mdash; from data acquisition and cleaning through model development, validation, and production deployment &mdash; enabling repeatable, scalable analysis.</li><li>Formalize assumptions about how data center systems are expected to perform and develop methods to systematically identify deviations, root causes, and high-ROI improvement opportunities.</li><li>Build self-service datasets, dashboards, and reporting mechanisms that provide Field Engineering leadership with real-time visibility into fleet health and portfolio performance.</li><li>Prepare narratives and data-driven recommendations for executive leadership that articulate decision points relative to fleet investment, risk trade-offs, and strategic priorities.</li><li>Collaborate with applied science, software engineering, and data engineering teams to ensure models integrate seamlessly with upstream and downstream systems.</li></ul> 
About the team 
Why AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Engineering, or Computer Science; OR Bachelor's degree and 8+ years of professional experience in a quantitative role.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience</li><li>Experience documenting modeling for technical and business leaders</li><li>Experience working with data engineers and business intelligence engineers collaboratively</li><li>Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)</li><li>Experience developing operational processes and data insights</li><li>Experience with anomaly detection, predictive maintenance, or reliability modeling in industrial or infrastructure contexts.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 183,000.00 - 247,600.00 USD annually 
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually 
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div>

Sr. Data Scientist, Field Engineering

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;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.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance &amp; Strategy (F&amp;S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world.

This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science &amp; Analytics, and Finance &amp; Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business&mdash;revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&amp;L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul>
<li>Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership
</li>
<li>Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company
</li>
<li>Partner with Finance &amp; Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows
</li>
<li>Establish analytics engineering and BI best practices for F&amp;S, including data management, governance, and reporting standards
</li>
<li>Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics
</li>
<li>Champion data-informed decision making across the organization
</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you:</h2>
<ul>
<li>Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance &amp; Strategy, Data Infrastructure and Analytics Engineering
</li>
<li>Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation
</li>
<li>Have a track record of producing analyses that have meaningfully influenced business or leadership decisions
</li>
<li>Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI
</li>
<li>Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)
</li>
<li>Have hands-on experience working with financial systems and building downstream data models from these systems
</li>
<li>Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives
</li>
<li>Are detail-oriented with a deep commitment to data accuracy
</li>
<li>Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables
</li>
<li>Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact
</li>
</ul><h2 class="jobSectionHeader">Strong candidates may have:</h2>
<ul>
<li>Championed AI driven analytics and financial analysis within their organizations
</li>
<li>Prior experience in high-growth technology companies or startups
</li>
<li>Strong financial acumen with deep understanding of finance principles
</li>
<li>Knowledge of statistical analysis and advanced analytics techniques
</li>
<li>Familiarity with data governance best practices and experience implementing data quality frameworks
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div><div>
Annual Salary:</div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;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&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

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 &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; 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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

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</div></div>

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