Business analyst jobs in Mountain View, CA - 2,664 jobs

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

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

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, you will be responsible for the hands‑on administration, optimization, and support of our financial planning and analysis systems. You'll work closely with Finance & Accounting stakeholders to translate business requirements into technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure. As a Senior Business Systems Analyst, you'll be a key technical contributor who bridges the gap between our finance teams and our technology platforms. You'll manage day‑to‑day system operations, support critical financial processes, and help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow. Responsibilities: Systems Administration and Support Serve as a primary administrator for our financial planning platform (Pigment), maintaining system health and optimal performance Manage user access, security settings, and system configurations to ensure appropriate controls and data governance Provide technical support and troubleshooting for end‑users, resolving issues and answering system‑related questions Monitor system performance and proactively identify opportunities for optimization System Development and Enhancement Design, build, and maintain models and workflows within Pigment to support financial planning, budgeting, forecasting, and reporting processes Develop and maintain integrations between Pigment and other enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.) Create and maintain comprehensive system documentation, including model design specifications, process flows, user guides, and SOPs Build custom reports, dashboards, and visualizations to meet stakeholder needs Business Partnership and Process Improvement Partner with Finance & Strategy, Accounting, and other Finance teams to understand business requirements and translate them into technical solutions Support the month‑end and quarter‑end close processes by ensuring timely and accurate data flows Identify and implement process improvements to streamline financial operations and enhance data quality Participate in testing and validation of system changes, ensuring accuracy and reliability Assist with training and onboarding of new system users Data Management and Quality Ensure the accuracy and integrity of financial data across systems Develop and maintain data validation rules and quality checks Troubleshoot data discrepancies and work with relevant teams to resolve issues Support data migration and transformation activities as needed You may be a good fit if you: Have 8+ years of experience in business systems analysis, with a focus on financial planning and analysis systems Have hands‑on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools) Possess strong technical skills including advanced Excel/Google Sheets, SQL, and data modeling Have demonstrated ability to translate business requirements into technical specifications and system designs Are proficient in creating and maintaining system integrations and data pipelines Have excellent problem‑solving skills and attention to detail Are a clear communicator who can explain technical concepts to non‑technical stakeholders Can work independently and manage multiple priorities in a fast‑paced environment Have a strong understanding of FP&A processes, financial reporting, and accounting principles Strong candidates may also have: Experience with Workday Financials, Salesforce, or other enterprise business systems Familiarity with data visualization tools such as Hex, Looker, Tableau, or Power BI Knowledge of programming or scripting languages (Python, JavaScript, etc.) Experience supporting rapid company growth and scaling financial systems accordingly Understanding of financial data security and compliance requirements Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder) Experience working at a high‑growth technology company Project management skills and experience leading system implementation workstreams The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $205,000 - $265,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. And we value impact - advancing our long‑term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT‑3, Circuit‑Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process #J-18808-Ljbffr

One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analyst, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. Play a key role in creating both product and client-facing analytics. Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations. About you At least 2 years of professional experience as a data analyst or a data scientist. Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) Fast learner; curiosity about and passion for data. Compensation The US total compensation range for this full-time position is $110,000 - $150,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. Doximity is proud to offer industry-leading benefits. Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more! More info on Doximity For the past decade, it's been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people's lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We're growing fast, and there's plenty of opportunity for you to make an impact-join us! For more information, visit Doximity.com. EEOC Statement: Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #J-18808-Ljbffr

About the Company: World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We're backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the Time AI 100. About the Team Systems & Delivery is the engine inside Central Ops. We design and land the workflows, tools, and processes that make the World project run reliably across every market. We work closely with Product, Market Ops, T&S, and Data teams to translate strategy into real-world execution at speed and scale. About the Role We're looking for a Systems & Delivery Lead who can turn operational chaos into dependable, scalable systems. This role owns the back-office workflows that power Orb operations worldwide: payments, token transactions, operational tooling, and new initiative rollouts. You'll work across functions to ensure clarity, consistency, and adoption. You'll build tools, shape processes, run pilots, write PRDs, and drive global implementation. This is both strategic and hands‑on. If you enjoy building the operational backbone of a global network, this role is for you. What you will do Own the Ops Systems Roadmap and priority workflows end-to-end Lead implementation of new tools and processes across all markets Collaborate with Product on PRDs and feature requirements Manage workflows related to payments, cost attribution, and token transactions Run pilots and tests; gather insights; iterate quickly Deliver clear documentation, comms, and rollout plans Build dashboards and feedback loops with Data Engineering Support experiments and convert learnings into scalable playbooks About you 7-10 years in operations, systems, or technical program management Track record of shipping processes and tools in fast-paced environments Strong analytical and systems‑thinking skills Experience drafting PRDs and collaborating with Product Comfort with ambiguity and willingness to dive into field-level details Excellent communicator who drives alignment across functions Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH ranges from $190,000 - $240,000, plus a competitive long-term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role, including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend, and much more! By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. #J-18808-Ljbffr

As a Sr. IT Analyst based in San Francisco, you'll be one of the go-to technical resources for the affiliates we support in our Shared Services team. In this hybrid role, you'll provide hands-on support for a wide range of hardware, software, and cloud services in a Microsoft-centric environment. You'll work closely with experienced staff to document legacy processes, resolve day-to-day IT issues, and proactively identify opportunities to automate and streamline support. Your strong communication skills, initiative, and growth mindset will help ensure a seamless technology experience for our users. This position is responsible for providing technical assistance and support related to the company's IT operations, activities, systems and users across multiple sites. This includes responding to support needs, executing troubleshooting steps, gathering information, isolating problems, escalating issues, monitoring systems availability, managing tickets and meeting SLA's. Candidates should have a mix of technical and customer service skills. These functions are performed in support of the company's users, systems, facilities and data centers. Responsibilities Provide operational and end user support for IT systems and activities, including: Windows AD, Azure, and AWS environments Server deployment, management and monitoring Audio-Visual systems, including Poly equipment and Teams Rooms Telephony systems, including Teams Voice and mobile devices O365 services, including Exchange Online, Intune, SharePoint, Teams User accounts and permissions Printers and copiers Shadow senior team members to extract and document tribal knowledge, focusing on undocumented processes and troubleshooting steps. Identify repetitive support tasks and propose self-service or automation solutions. Provision, deprovision, install, maintain, and support users, applications and devices. Coordinate repair of company devices. Provide technical support, guidance, and training to users. Troubleshoot and diagnose hardware and software problems. Ensure full resolution within a timely manner. Ensure adherence to corporate standards. Monitor and report system performance. Maintain system and training documentation. Perform log review and maintenance. Assist and coordinate with other members of the IT team. Perform other related duties as assigned. This position is primarily located in our San Francisco office, supporting multiple offices, including local and remote users and requires occasional travel to supported sites. General office environment: Ability to sit for long periods of time and to move about an office. Supervisory responsibility: None Qualifications/Required Knowledge, Experience and Skills: Background in O365 applications and services, including Microsoft Office, Teams, Exchange, SharePoint, Intune, Power Apps, etc. Experience with Jira, Adobe and Sage is helpful. Background in end user support & training. Excellent customer service and interpersonal skills, including the ability to communicate technical information, both verbally and written, to a wide range of users. Experience in IT systems and network administration, including specific knowledge of Windows Server and Microsoft Azure. Experience with AWS is helpful. Experience in a broad range of IT systems (hardware, software, printers, firewalls, routers, etc.). Must be self-motivated, and possess the ability to work reliably and responsibly, both independently and in a team environment. Excellent troubleshooting, problem solving, critical thinking and analytical skills. Excellent attention to detail, and good work habits under pressure. Readily adaptable to the changing needs of the business, with ability to manage multiple priorities. Ability to collaborate with multiple parties to solve problems. Ability to prepare reports, conduct investigations, and review documents/logs. Ability to learn and support new and fast-changing technologies. Ability to use sound judgement, identify next steps to be taken, and develop appropriate solutions Educational Qualifications: Bachelor's Degree in relevant field or other relevant professional experience. 5+ years of network administration and helpdesk experience. IT certifications or equivalent experience. Formal education in a business field is preferred. Pay Range: The starting base pay for this position in the San Francisco Bay area is as shown below. The actual base pay is dependent upon a variety of factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. This position is also eligible for a discretionary annual bonus, paid time off, and a benefits package including but not limited to company-sponsored medical, dental, vision, and a generous 401(k) match. $120,000/year - $140,000/year Disclaimer: This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka America, Inc. reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Otsuka America, Inc. is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting *********************.

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

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 leading SaaS company is looking for a Data Analyst to deliver product insights and drive data-driven decision making. The candidate should have 3+ years of experience and be proficient in SQL, with a solid foundation in data visualization tools. Responsibilities include collaborating with various departments to analyze metrics and optimize products. This role requires excellent communication skills and the ability to simplify complex data for stakeholders. Join us to help shape innovative solutions in the podcast industry. #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 forward-thinking AI company based in San Francisco is seeking a Senior Business Systems Analyst to join their Finance Systems team. The role involves overseeing the financial planning platform, enhancing data management processes, and collaborating with stakeholders to implement technical solutions that drive effective financial planning. Candidates need extensive experience in business systems analysis, particularly in financial planning, and proficiency in various enterprise systems. This role offers competitive compensation and aims to build scalable financial solutions. #J-18808-Ljbffr