Business analyst internship jobs in San Ramon, CA - 1,178 jobs

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 company is seeking a Data Analyst to unlock the potential of data assets and collaborate with engineers. Responsibilities include aggregating data for product development, generating visualizations, and communicating results to stakeholders. Ideal candidates will hold a Bachelor's degree, have 2-4 years of experience in an analyst role, and be proficient in SQL. The position offers a competitive salary range of $90,000 - $120,000 per year and comprehensive benefits. #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 leading AI analytics company in San Francisco is hiring a Data Analyst to build and scale its analytics capabilities. The role involves creating dashboards, defining metrics, and collaborating with various teams. Ideal candidates should have strong SQL skills and 3+ years of experience in analytics. This company offers competitive compensation and comprehensive benefits, including health insurance and generous PTO. #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

Type: Full-Time Compensation: Competitive salary + early-stage equity Backed by 8VC, we're building a world‑class team to tackle one of the industry's most critical infrastructure problems. About the Role We're building an AI‑native platform where industrial data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric - an intelligent, governed layer that unifies fragmented and siloed data streams into knowledge graphs ready for high context decision‑making and agentic execution. The Data Partnerships Analyst will be on the front lines of this strategy: researching, evaluating, and supporting partnerships with leading data providers (trade, compliance, entity mapping, financial, ESG, geopolitical, etc). You'll play a critical role in mapping data ecosystems, structuring partnerships, and ensuring Fabrion's platform is powered by the most complete, high‑quality, and strategically differentiated data. This role is ideal for someone with sharp analytical skills, a curiosity for data‑driven businesses, and a strong interest in how AI and partnerships intersect to transform global value chains. Responsibilities Market Landscaping & Research: Identify, track, and evaluate relevant data providers across global markets. Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies. Data Evaluation: Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion's knowledge graphs. Partnership Pipeline: Maintain CRM‑style tracking of outreach, engagements, and deal status across priority providers. Competitive Intelligence: Benchmark competitors' data strategies and build landscape views of potential threats and opportunities. Cross‑Team Collaboration: Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks. What We're Looking For Core Experience 3+ years experience in research, consulting, corporate strategy, business development or partnerships. Experience in the automotive industry, particularly at an OEM and/or Tier 1 supplier, is a huge plus. Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics. Excellent communication and synthesis skills - able to distill complex market landscapes into crisp takeaways. Exposure to B2B SaaS, data vendors, or enterprise technology ecosystems preferred. Mindset Systems thinker: curious about how fragmented datasets connect into real‑world decision and execution systems. Comfortable navigating ambiguity and building processes from scratch. High ownership: proactive, organized, and reliable in pushing workstreams forward. Excited to work closely with founders and investors in a fast‑paced, high‑stakes environment. Bonus Skills Prior experience evaluating or working with data providers (e.g., S&P, D&B, etc). Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions). Familiarity with data licensing, APIs, or data feeds. Prior exposure to supply chain, automotive, or industrial domains. Why This Role Matters Our platform's intelligence is only as strong as the data it is built on. The Data Partnerships Analyst helps ensure Fabrion gains early access to the most critical and differentiated data sources. This role gives you direct exposure to startup founders, investors, and senior executives at leading data providers. You'll develop a unique perspective at the intersection of data, AI, and industrial transformation, while shaping the partnerships that power Fabrion's AI agents. If you're excited to map the global data landscape, help secure strategic partnerships, and build the foundation of an AI‑native enterprise platform, we'd love to hear from you! #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

At Neuroverse HealthTech, we are revolutionizing workplace wellness with cutting edge solutions that prioritize mental health, inclusivity, and resilience. Founded with a vision to create workplaces where every individual thrives, we empower organizations with tools to detect burnout, foster engagement, and support neurodiverse teams. Our mission is simple yet powerful: to transform workplaces into spaces of care, innovation, and growth by integrating mental health at the core of organizational success. At Neuroverse, our culture is our strength. We are a playground for creativity and collaboration, were diverse perspectives fuel innovation. As a team, we value empathy, inclusivity, and a relentless commitment to learning and growth. Joining Neuroverse means being part of a dynamic environment that encourages big ideas, fosters professional development, and rewards impact. When you grow, we grow. At Neuroverse, we're not just building a business. We are building a movement to redefine workplace wellness globally. Come, be a part of our journey and make a difference where it truly matters. The work: Plans and leads the consultation process for complex research projects to support development and alumni engagement across UBC. Leads and delivers major quantitative research initiatives that identify prospective donors, determine trends, forecast growth opportunities and provide strategic understanding of patterns in alumni and donor behavior. Provides statistical data analysis to support fundraising targets and policy objectives, using regression analysis, time series analysis, predictive modelling and segmentation, machine learning algorithms, text analysis, and spatial analysis. Participates in the development of policies and performance metrics and tracks and reports on results. Demonstrates the impact of performance and focuses on efficient and effective services. Develops and designs methodologies and standards to produce regular statistical reports. Documents all necessary business and technical details related to data analytics outputs, and uses in-house version control and project management tools to track and report on progress. Implements all stages of analytics projects. Contributes to the development of business cases, project plans, status reports, scope, deliverables and timelines related to small to medium data analytics projects Prepares information using data visualization techniques for analytics reports, proposals and presentations for UBC executive, Alumni Association Board, UBC Board of Governors and DAE leadership. Develops self-serve tools such as interactive reports and dashboards to meet the data analytics needs for DAE. Imparts understanding of complex technical ideas and results to non-technical audiences through the effective use of words, infographics and interactive data visualizations. Extracts, cleans, transforms, and synthesizes structured and unstructured internal UBC data and external data. Remain current on DAE s data sources, and ensure integrity, quality, security, and a high degree of usability for data used in analysis and resulting metrics, scores and attributes. Collaborates on the integration of data analytics outputs into CRM, design and delivery of training materials and sessions to DAE staff. Researches and develops current and emerging trends in philanthropy, alumni engagement, higher education and complex data analysis. Liaises and collaborates with other UBC departments and other universities. Qualifications: Bachelor's degree or higher in relevant field in Computer Science or Medical Health Information, or equivalent qualifications/experience At least three years of experience in data analysis, as well as data exploration and presentation Experience with SAS and SQL programming languages Experience working with a variety of information systems and data files, including large and complex files: analysing file structure; using and creating file layouts; and transforming raw data into finished products Experience using advanced Excel features and techniques Familiarity with healthcare data is an asset Ability to self-motivate and work independently, as well as work collaboratively as part of a team Project leadership and management skills Excellent oral and written communication Ability to work under pressure to meet deadlines Knowledge of HIV/AIDS, viral hepatitis, and/or health sciences research is an asset, but not necessary An understanding of epidemiologic research (e.g., study design, bias) is an asset. Job Category: Technology Job Type: Full Time Job Location: Brisbane City Australia Dharamshala HP India London UK San Francisco CA United States #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

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 dynamic analytics company seeks a Strategic Customer Success Manager to serve as a primary advisor for large enterprise customers in San Francisco. The role requires a blend of strategy and relationship management, ensuring customers achieve maximum ROI with a focus on minimizing churn. Candidates should have extensive experience in Customer Success or Account Management, particularly within SaaS, and should be adept at building executive relationships and translating technical concepts into business value. Competitive compensation package included. #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

San Francisco, CA 425 California St Suite 1900 San Francisco, CA 94104, USA Join the DC Advisory Summer Analyst 2027 program. This investment banking program runs 10 weeks. Qualified candidates are rising college seniors during the summer program duration. Working as a summer analyst at DC Advisory is challenging and rewarding. Summer analysts gain exposure to the firm's businesses and expanded knowledge of the investment banking industry, as they develop key analytical, communication, marketing and sales skills. Summer analysts are responsible for assisting with preparing financial models, running various analyses to examine the effects of contemplated client alternatives. In addition, summer analysts assist preparing marketing documents, including pitch materials, board presentations, and management presentations, which explain industry trends, discuss client options, and recommend strategies to meet client goals. Summer analysts are also responsible for supporting financial and industry due diligence, writing portions of confidential memoranda, and performing other analytical work to support senior bankers in their relationship management responsibilities. Our summer analysts work closely with managing directors and other senior level bankers and are expected to play a critical role on transaction teams. Summer Analysts may interact with senior executives of client companies through selective participation in client meetings. Compensation: Base Salary: $110,000 annually (prorated for the duration of the Summer Analyst program) Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr

A data intelligence company in San Francisco is seeking a Data Analyst to aggregate and analyze data, create visualizations, and collaborate with cross-functional teams. The ideal candidate will have a Bachelor's degree and 2-4 years of experience including internships. Proficiency in SQL and strong communication skills are essential. This role offers a salary range of $90,000 to $120,000 annually and supports a collaborative culture focused on making a difference. #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

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