Data specialist jobs in Santa Rosa, CA - 218 jobs

A tech-focused company in San Francisco is looking for a City/Country Expert to enhance transit data accuracy and provide regional insights. Applicants should possess strong communication skills in English and a local language alongside basic programming knowledge. Key responsibilities include developing city data pipelines, validating data quality, and managing complex transit issues. Ideal candidates have 1-3 years of relevant experience and proficiency in GIS tools. #J-18808-Ljbffr

Uncountable is seeking recent graduates interested in a career in data management to help structure customer datasets. Applicants with a chemistry or material science background are preferred. Our goal is to revolutionize industrial research and development. We're looking for motivated scientists and engineers who can help to build out tools that will accelerate the development of new chemicals and materials. Primary Responsibility You primary responsibility will be to structure and ingest customer data for the Uncountable Web Platform where scientists upload and analyze their experiments. This role would primarily involve writing manual data cleaning. Requirements Chemistry or material science coursework Interest in a software engineering career and technology startups Proficiency with Microsoft Excel Preferred Qualifications Scripting or coding experience in Visual Basic or Python Benefits Competitive Salary and Equity Health and Dental Insurance 401K with Employer Contribution Salary: 60-80K annual #J-18808-Ljbffr

Join Two Dots to build a stronger financial system: Every time someone applies for a mortgage, car loan, or apartment lease, they submit financial documents that humans use to build a financial profile about them. The quality of these financial profiles is a key input that regulates the body temperature of the economy. Two Dots is building a better system to build these financial profiles more consistently and fairly with conversational interfaces that interact with consumers and automate much of the back and forth document collection process in loan and lease origination. We're building a better system to evaluate consumers consistently and fairly. We prevent fraud that humans can't see, help applicants navigate documenting complex financial situations, and surface value in atypical applications that would otherwise be discarded. Role Overview Two Dots is looking for a Data Analyst to transform data into actionable insights that drive product decisions and business growth. As a YC-backed, Series A company scaling rapidly, you'll work directly with product, engineering, and business teams to uncover patterns in our underwriting data, measure product performance, and identify opportunities to improve our platform. You'll be the go-to person for understanding how our AI-powered underwriting system performs in the real world-translating complex data into clear visualizations and recommendations that shape our product roadmap. What You'll Do Write SQL queries to extract, transform, and analyze data from our Postgres and BigQuery databases Build dashboards and visualizations that make complex underwriting metrics accessible to product and business stakeholders Generate product insights by analyzing user behavior, conversion funnels, and underwriting performance Partner with product and engineering to define and track key metrics, run A/B tests, and measure feature impact Identify trends and anomalies in application data that inform risk models and product improvements Create reports that communicate findings clearly to both technical and non-technical audiences Support business development with data-driven presentations and ROI analyses for enterprise clients What We're Looking For Strong SQL skills - you're comfortable writing complex queries with joins, aggregations, and window functions Data visualization experience - proficiency with tools like Tableau, Looker, Metabase, or similar platforms Analytical mindset - you ask good questions, spot patterns, and translate data into actionable recommendations Communication skills - you can explain technical findings to non-technical stakeholders Attention to detail - accuracy matters when analyzing financial and risk data Bonus: Experience with Python or R for statistical analysis Bonus: Familiarity with fintech, lending, or real estate data Bonus: Understanding of A/B testing and experimental design Our Stack Databases: Postgres, BigQuery, Redis Scripting: Python, Node.js Cloud: GCP What You Get in Return An opportunity to revolutionize the real estate leasing industry and own analyses that directly shape product decisions Direct access to leadership and the ability to influence company strategy with your insights An environment with a work culture based on trust, ownership, flexibility, and a growth mindset A competitive salary, comprehensive equity package, and substantial benefits Closing Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply! Compensation is variable and is subject to a candidate's personal qualifications. For this role, we offer the following base salary range (in addition to equity and full benefits): $100k - $175k per year. #J-18808-Ljbffr

What is Findem: Findem is HR 2.0. We're a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We're backed by top-tier investors including Wing Venture Capital - the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We're looking for a seasoned Staff Data Analyst to lead company data cleanup efforts across Engineering and Research, taking feedback from Product/ESP/IA and integrating that into company cleanup by prioritizing segments and features of companies that are most relevant to our customers and most in need of cleanup until we have the most accurate and comprehensive company data in the industry (including from AI-derived sources). What You'll Do: Identify and evaluate opportunities to improve data quality across the organization, proactively determining the most efficient strategies for data cleanup and optimization Develop creative solutions to resolve complex data issues, applying analytical judgment to balance effort, impact, and business value Direct Research projects to uncover opportunities and drive progress on cleanup Prioritize Engineering efforts and track results over time to meet deadlines Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data, delivering accurate and well-structured datasets for both technical and non-technical stakeholders Translate complex data findings into clear, actionable insights for diverse audiences. Maintain high standards for data governance, quality assurance, and documentation. Your Working Experience: 8-12 years of escalating levels of responsibility in a role blending data analytics and operations at a management consulting firm or large SaaS company SQL/NoSQL/Python for data extraction @ expert level Spreadsheet-based workflows @ expert level Data visualizations Able to structure work at program level, independently managing toward a goal Project management across Research, Engineering, Product Data cleansing/debugging/RCA with messy data Benefits & Perks: Competitive base + performance-based compensation Unlimited PTO Generoushealthcare coveragefor you and your family Home office and productivity setup stipend Professional development budgetand executive coaching access Equity grants that align your success with ours $140,000 - $160,000 a year Our compensation range reflects the cost of labor across multiple U.S. geographic markets. The base salary for this role is listed below by location, and the exact amount offered will depend on your skills, experience, and work location. Tier One Markets (SF, NYC, Seattle): $150,000 - $160,000 per year All Other Remote US: $140,000 - $150,000 per year We're an Equal Opportunity Employer We believe that a diverse team builds better solutions. We're committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives. Ready to build something impactful and lead a team to success?Apply now and let's grow together. #J-18808-Ljbffr

A leading financial technology firm is seeking a Trust & Safety Product Analyst in San Francisco to develop and scale member banking experience products. The role involves analyzing user behavior, collaborating cross-functionally, and providing insights to enhance security awareness. Ideal candidates will have 3-5 years of experience in data roles, strong SQL expertise, and familiarity with BI tools like Looker or Tableau. Competitive salary ranges from $112,140 to $155,800, with attractive benefits. #J-18808-Ljbffr

A data intelligence firm in San Francisco is looking for a Data Analyst to unlock the potential of unique data assets. This role involves collaborating with engineers to solve complex problems, conducting analyses, and generating visualizations. Candidates should have a Bachelor's degree and 2-4 years of relevant experience, with proficiency in SQL. The position offers a competitive salary range of $90,000 - $120,000, along with a comprehensive benefits package. #J-18808-Ljbffr

HockeyStack is an Applied AI company on a mission to automate sales, marketing, and customer success for B2B companies. We build the most complete and accurate picture of the B2B buyer by integrating with every tool your team uses, partnering with third-party data providers, and deploying custom AI research agents. We use this data to power applications that automate high-value, high-complexity workflows across the go-to-market and revenue teams. Our core products include: Marketing Intelligence - instantly answers questions like “What led to that sudden drop in pipeline?” Account Intelligence - surfaces next-best actions to help reps move target accounts toward conversion Since launching in January 2023, we've come through Y Combinator, raised a $26M Series A led by Bessemer. We're growing 3× year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win. 🚀 Your Mission We are seeking a customer-focused Data Analyst to help our clients answer their most important business questions around GTM revenue performance and marketing spend optimization. This is not a heavy data-engineering role; instead, you'll use HockeyStack's platform and available data to guide customers toward impactful insights and recommendations. 🔧 What You'll Do Partner with customers to solve their revenue goals, challenges, and questions. Use HockeyStack's platform to uncover insights and deliver clear, actionable recommendations. Translate complex metrics into straightforward explanations for non-technical audiences. Be the Data Partner to support Customer Success Managers in delivering strategic guidance to clients. Identify patterns and trends in marketing and sales data to advise customers on where to focus efforts. Collaborate with internal teams to continuously enhance the customer experience. 🧩 Core Strengths Business Insight: Ability to connect data to revenue outcomes and business strategy. Customer Orientation: Skilled at understanding client goals and delivering value through insights. Analytical Thinking: Comfortable framing and answering complex questions with data-driven logic. Clear Communication: Able to translate analytics into simple, impactful recommendations. 🧬 What We're Looking For Ownership-first mindset - you take initiative, move fast, and figure things out Thrive in early-stage, high-urgency environments where speed and impact matter Curious, self-aware, and feedback-driven - you bring energy, not ego See this role as a defining chapter - not a stepping stone or side quest Bachelor's degree in Mathematics, Statistics, Data Science, Applied Economics, or a related field. 1-3 years of experience in Data Analytics or Consulting with Analytical focus. Strong preference for candidates with Marketing Analytics or GTM/Sales Analytics Experience. Strong problem-solving skills with the ability to structure and answer key business questions. Excellent communication skills to convey data-driven insights to senior stakeholders. Familiarity with SaaS, B2B marketing, or revenue analytics is a strong plus. Ability to think strategically and recommend actions based on data, without needing to deep-dive into raw datasets. ✨ Why Join Now? We're at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You'll be joining a company with real traction, rapid growth, and meaningful backing-where every person still shapes the outcome. This isn't just a job. It's a chance to build something category-defining with people who care deeply about doing it right. We're building a high-performing, culture at our San Francisco HQ, where the team collaborates shoulder-to-shoulder. While that's our standard for most roles, this position is uniquely flexible-offering remote options for exceptional candidates based in the U.S. or internationally, as long as you're fully available during U.S. business hours. The base salary range for this role is $40,000 to $120,000 USD, adjusted for location, experience, and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees. #J-18808-Ljbffr

A dynamic analytics company in San Francisco is seeking a Data Analyst to join their team. The role involves collecting and analyzing data, generating reports, and collaborating with stakeholders to drive business decisions. Ideal candidates will possess strong analytical skills and proficiency in data analysis tools. This position offers a chance to significantly impact operational efficiency for clients. #J-18808-Ljbffr

The Role As a Data Analyst at Zencastr, you will partner with different departments and teams to make data-driven decisions that ship better products by delivering product insights and strategic recommendations based upon quantitative analysis. You will be involved in driving data-based decisions and lead initiatives to improve operational efficiency. You will be an active thought partner and subject matter expert in your data, deeply involved in new projects and all aspects of your stakeholders deliverables. We are searching for the right candidate who has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns. What You'll Do.. Partner across departments to build a rapport and be a trusted advisor to team members; Use an analytical perspective to inform decision making and help drive a focus on the most impactful ideas Navigate ambiguity of stakeholder requests and formulate hypotheses while building consensus Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis Identify trends and opportunities to drive product growth and nurture a healthy ecosystem Use BI tooling, construct core dashboards, visualizations, and analyses to help stakeholders monitor product health and make better decisions Communicate insights to stakeholders distilling complex analysis into accessible learnings; Deliver effective presentations to influence multiple levels of stakeholders Continuously improve your business acumen and understanding of Zencastr products and business, as well as the podcast/creator industry at large Understand underlying data sources and their limitations and communicate complex data insights through exploratory analysis and research to suggest improvement Conduct research on various business processes to uncover bottlenecks and provide recommendations to improve and align with the business goal Analyze various business-related effects, e.g. product optimization and improvement, market activity analysis, operation analysis, etc Collaborate with the operation team, analyze business operation efficiency, identify business problems, and provide optimization suggestions to improve operating efficiency If This Describes You.. 3+ years of data analytics experience, preferably for SaaS companies Strong SQL - experience navigating and working with data sets and developing data pipelines using SQL Has strong experience analyzing and reporting on acquisition, conversion and user retention metrics to measure the impact of campaigns Undergraduate degree in quantitative major (Finance, Economics, Math, Computer Science) or equivalent experience Experience working with Product, Engineering, Sales & Operation teams Foundational understanding of data modeling best practices Experience using BI visualization tools like Metabase, Looker, Power BI or Tableau Experience using Analytics tools like Google Analytics, FullStory, Heap, Amplitude, Mixpanel Able to summarize, explain and simplify complex data analyses and concepts Ability to manage multiple deliverables simultaneously and proactively communicate changes and roadblocks Comfortable working collaboratively with various stakeholders across departments, including senior management Motivated to find a faster way to do your least favorite tasks #J-18808-Ljbffr

A cutting-edge technology company located in San Francisco is seeking a Data Analyst to power its new revenue operating system. The successful candidate will be responsible for building metrics and dashboards, providing strategic insights to leadership, and ensuring high-quality data foundations. This role is ideal for someone with strong SQL and Python skills, experience in fast-paced environments, and the ability to communicate complex data in simple terms. Competitive pay and benefits are offered. #J-18808-Ljbffr

A leading data solutions company is seeking a Data Partnerships Analyst in San Francisco. The role focuses on researching and evaluating data partnerships, ensuring access to high-quality data sources. Applicants should have strong analytical skills and experience in consulting or business development, preferably within the automotive sector. This position provides exposure to founders and investors, contributing to the success of an AI-native enterprise platform. #J-18808-Ljbffr

A rapidly growing tech startup is seeking a Data Analyst to transform data into actionable insights that influence Product and Marketing decisions. The ideal candidate will have 3+ years of experience in SaaS data analysis, strong SQL skills, and familiarity with tools like Tableau and Power BI. Responsibilities include executing analyses, building dashboards, and collaborating with various departments. The role offers considerable growth opportunities in a values-driven, fast-paced environment. #J-18808-Ljbffr

ABOUT BASETEN Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we're scaling our team to meet accelerating customer demand. THE ROLE We're hiring a Data Analyst to help build and scale our internal analytics capabilities. This is a foundational role where you'll create dashboards and data models to power business and product teams alike. You'll collect requirements, define key metrics, and deliver insights directly to stakeholders. You'll also lead your own projects to enable low-friction, self-service access to data across Baseten. RESPONSIBILITIES Build, enhance, and maintain dashboards across multiple functions with a focus on accuracy, simplicity and user experience Ingest and transform raw data into dashboard-ready views using tools like dbt, Airbyte, and BigQuery Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Define and instrument core metrics around ROI, product adoption, customer lifecycle and financial performance Ensure data reliability and consistency through testing, version control and documentation across the analytics stack REQUIREMENTS 3+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Familiarity with modern BI platforms like Sigma or Hex Prior experience supporting B2B GTM organizations across the customer journey, with hands on experience in a CRM/CDP system Excellent communication skills and a collaborative approach to working with cross-functional teams An ownership mindset: you're excited to be the first hire in this role and to shape how data works at Baseten BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. #J-18808-Ljbffr

HQ Numeral is building the automation backbone for internet commerce - starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams. We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies - and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention. Numeral is small but mighty. Growth is already border-line unmanageable - which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you. Mission Running an online business today means wearing a thousand hats - most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love. We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof. About the role: As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations-playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences. This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes. Responsibilities: Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues Support our customer-facing teams with ad hoc data questions, investigations, and insights Build internal tooling and processes to streamline reconciliation and improve onboarding throughput Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture Qualifications: Proficient in SQL and Excel / Google Sheets Strong analytical and pattern recognition skills across large, messy, or multi-source datasets Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment) Strong problem-solving skills and ability to operate with autonomy in fast-moving environments Clear communicator with high attention to detail and a collaborative mindset Bonus Points For: Experience with DBT or similar ETL frameworks Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages) Prior exposure to tax, compliance, or accounting-related data A background in operations, finance, or technical customer success Why Join Us? Be a core builder in an ambitious, globally minded startup. Learn hands-on how to scale international compliance systems. Work across functions and with leadership early in your career. Make a visible impact immediately through enablement and operational design. Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities. #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access to sophisticated people insights, transforming how organizations understand and engage with their audiences. By leveraging a vast and proprietary data ecosystem, we empower non‑profits to exceed their fundraising goals and commercial enterprises to maximize their marketing ROI through precision and intelligence. We're looking for a Data Analyst to help us unlock the full potential of our unique data assets. In this role, you'll collaborate with a talented cross‑functional team of engineers and scientists to solve complex problems, advance your analytical toolkit, and deliver measurable impact for our customers. We're on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust. Responsibilities Aggregate data from several sources and conduct data research to generate accurate analysis to support our product development. Generate visualizations leveraging different technologies to be included in slide decks and dashboards. Influence internal stakeholders by constructing slide decks from inception and effectively communicate results. Deeply understand and document structures and processes that make up our data pipeline. Investigate the quality and relationships of new and existing data sources. Perform analyses, extract insights, and make recommendations on next steps. Requirements Bachelor's degree 2-4 years of professional work experience (including internships) in an Analyst role Proficient in SQL Collaborative team‑focused attitude with a strong desire and learn new things and support the business A fierce sense of ownership and responsibility in one's work Ability to translate a business problem into technical steps, and data‑driven insights into recommendations Demonstrates attention to detail Preferred Qualifications Demonstrated experience building dashboards Basic Python experience $90,000 - $120,000 a year Additional Information The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Utah. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site. About Windfall Windfall is a people intelligence and AI company that gives go‑to‑market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go‑to‑market resources to drive greater business outcomes. Powered by best‑in‑class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data‑driven organizations use Windfall to power their business. For more information, please visit ***************** We comply with CCPA. For more information on how we comply, review our privacy notice. #J-18808-Ljbffr

About the role As a Trust & Safety Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization's mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. 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 & 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 $112,140.00 and up to $155,800.00. 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 Partner widely with product, engineering, research, and design to translate your insights to guide product development. You'll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications. Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction. 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. 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. Advise roadmap, analysis and metric ideation, and strategic discussions with stakeholders. <>Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions. To thrive in this role, you have 3-5 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. Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making. 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. Familiarity in R or python - you write reproducible code and have a tendency toward automation. Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc). Experience building metric frameworks to understand user behaviors. Ability to think holistically to solve business problems at hand and navigate through ambiguity. Excellent stakeholder management skills, with a record of working cross-functionally to achieve results. A focus on impact - you don't stop with just recommendations but ensure to see work through to changing the business. #LI-Hybrid #LI-DB1 A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-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-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-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-who will? *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. What we offer for our full-time, regular employees 🏢 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. ** 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute ** 💰 Competitive salary based on experience ** ✨ 401k match ** plus great medical, dental, vision, life, and disability benefits 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off ** 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. 🎉 In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too! ** 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress ** **Perks also available to Chime Interns. We know that great work can't be done without a diverse team and inclusive environment. That'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, or 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: ******************. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice. #J-18808-Ljbffr

A financial technology company is looking for a Data Analyst in San Francisco to transform data into actionable insights. The role involves writing SQL queries, building visualizations, and identifying trends to inform product decisions. With experience in SQL and data visualization tools like Tableau, candidates should possess strong analytical and communication skills. An ability to analyze financial data accurately is essential, as the role directly influences company strategy and product roadmaps. Competitive salary range is offered. #J-18808-Ljbffr

LucidLink is a fast-moving startup on a mission to make data instantly and securely accessible from everywhere. As remote and hybrid work has become the new normal, our cloud‑based technology enables teams to instantly access files and collaborate from anywhere in a familiar format that works like a local hard drive. LucidLink's solution is designed for workflows involving huge files, massive data sets, and real‑time collaboration. Our customers include the world's most creative companies such as Paramount, Warner Brothers, Epic Games, Spotify, A+E, and Netflix. We were founded in 2016 by storage industry experts and support over one billion customer files across more than 40+ countries. LucidLink is headquartered in San Francisco, California, has an engineering office in Sofia, Bulgaria, and remote employees across North America, Europe, and Australia. Reasons to join LucidLink: Tackle big challenges: You'll have the chance to solve complex, high‑stakes problems that redefine how teams collaborate globally. By starting with the Media & Entertainment industry and expanding into data‑intensive sectors, you'll gain deep insight into cutting‑edge technologies and play a role in shaping the future of global workflows. Values‑led culture: Our values don't just exist on paper-they guide every decision and interaction. You'll thrive in an environment where integrity, innovation, and empathy are at the core of how we operate, empowering you to grow personally and professionally. Hypergrowth journey: Joining a company with triple‑digit growth rates means unparalleled opportunities for advancement, learning, and being part of an exciting journey toward unicorn status. You'll experience the adrenaline of startup speed combined with the satisfaction of building something truly impactful. Immediate impact: At LucidLink, your work will matter-immediately. You'll be part of a tight‑knit team of 170+ builders working at startup speed, where your ideas and actions will create tangible, exponential results that contribute to our collective success. Comprehensive benefits: We believe in investing in our people. With flexible PTO, a competitive salary, stock options, and full health coverage, you'll feel supported both professionally and personally while enjoying a strong work‑life balance. The Role As a Data Analyst at LucidLink, you'll turn data into actionable insights that directly shape Product and Marketing decisions. You'll independently own analyses and dashboards, collaborate closely with stakeholders, and help scale our analytics capabilities while working with a modern data stack and experienced teammates. Your skills and qualifications 3+ years of experience in data analysis of SaaS products and businesses. Strong proficiency in SQL, with the ability to independently write and optimize complex queries. Experience with R, Python, or any language pulling and manipulating data will be considered a plus. Experience with Tableau and/or Power BI will be considered a plus. General understanding of data pipelines, data flows, and ETL concepts is a plus. Familiarity with predictive modelling and forecasting is a plus. Solid understanding of analytical concepts and dimensional data modelling. Strong analytical mindset with attention to detail and a results‑driven approach. Excellent communication skills (written and verbal), with the ability to present insights clearly and collaborate effectively. Fluent in English, both spoken and written, to work with distributed, global teams. Your responsibilities Deliver end‑to‑end execution of ad‑hoc analyses and dashboards. Translate business questions into clear analytical approaches. Build, maintain, and improve production‑ready reports and dashboards. Partner closely with stakeholders across Product, Marketing, Sales, and Finance Departments. Ensure data accuracy, validation, and clarity of insights. Reduce analytics backlog and improve team efficiency through efficient delivery. Team Culture: Hi, I'm Zhivko, Staff Data Analyst at LucidLink. I'd like to share a few words about our opening. This role is designed for a Data Analyst who can independently execute analytical work end‑to‑end - from data extraction to insight delivery - on well‑defined problems, while partnering closely with stakeholders across the organization, primarily within Product, Marketing, Sales, and Finance, on scope and priorities. We look forward to adding your unique qualities to our Data team! Interview Process: Here's what you can expect when you apply: Initial interview - a chat with our People & Culture team to get to know you and your background. Technical interview - a conversation with some of our Data analysts to dive into your skills and experience. Take‑home task - an assignment to work on in your own time, showcasing your problem‑solving approach. Task review - a follow‑up interview where you'll walk us through your solution and thought process. Final interview - a discussion with our VP of Engineering, to make sure we're the right fit for each other. #J-18808-Ljbffr