Data Operations Analyst Jobs

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Addepar's Private Fund Look-Through (PFLT) offering gives clients deep visibility into the underlying holdings of their private fund investments by extracting holding-level data directly from GP financial statements—primarily the Schedule of Investments (SOI). This white-glove solution combines proprietary AI/ML extraction technology with human-in-the-loop review to ensure maximum accuracy and full portfolio transparency. As part of the broader Addepar Data organization, the PFLT Data Operations Team Lead is responsible for managing a team of Analysts and Senior Analysts focused on reviewing, validating, and enriching complex fund holding data within target SLAs. This role acts as a domain subject matter expert, overseeing exception resolution, pipeline monitoring (Databricks, Retool, Monday.com), and data entity mapping. You will play a pivotal role in driving team performance metrics, leading ML model retraining initiatives, and collaborating across Product, Engineering, ML Operations, and Client Success teams. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You'll Do Lead and manage a team of PFLT Analys

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Sr. Manager, Marketing Analytics, you'll be a senior individual contributor who transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for campaigns, partners, and field marketing—including attribution modeling, ROI optimization, and emerging AI capabilities—serving as the go-to analytics expert and thought partner for marketing leadership. What You'll Do Drive attribution modeling and full-funnel measurement across all marketing channels Translate data into actionable insights and recommendations for marketing leaders across the business Create forecasts and scenario models to inform annual budget planning and incremental asks Build and maintain self-service dashboards in Tableau for brand, demand gen, digital, and strategic events Partner cross-functionally with Field Analytics, Strategy & Planning, Marketing Leadership, and Data teams on performance narrative and QBRs Partner with the Marketing Data Operations team to maintain data quality across martech systems Implement AI/ML capabilities for predictive modeling and automated insights Design and support marketing experiments with rigorous testing and statistical validation Mentor and provide analytical guidance to junior analysts, and establish best practices for the broader analytics function Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 8+

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaigns—including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run. In this role you will: Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan. Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build. Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in. Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk. Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the w

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Operations Analytics Our dedicated team of data analysts, engineers and business analysts is committed to empowering operational teams to make strategic and data-driven decisions on a global scale. We are structured into subject matter areas, with analysts focusing on Merchant Operations, Support, Professional Services, & Supply Chain, ensuring deep expertise and tailored insights within each area, driving operational excellence and informed decision-making. We strive to foster a collaborative and approachable environment, making data insights accessible and actionable for everyone. In short, our vision is to empower teams with self-service analytics and deliver strategic insights that drive high-impact decisions. What you’ll do Gain a comprehensive understanding of business processes to solve critical problems and ensure analysis efforts are effectively targeted. Master the art of storytelling by connecting data to a narrative, evolving from step-by-step analytical plans to complex stories that provide actionable advice. Partner with leadership to define key performance indicators (KPIs) and select metrics that align specifically with business strategy and objectives. Act as a bridge between the business and technical teams, translating complex requirements into clear requests for data engineering. Redesign recurrin

LOCATION : This will be a hybrid role (1 day a week) working out of our San Carlos, CA location. POSITION SUMMARY: Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes. As a Senior Data Analyst on the team, you will play a pivotal role in designing, prototyping, and building out a modern, next-generation AI analytics platform to phase out legacy reporting infrastructure. In this role, you will leverage AI developer tools (e.g., Claude Code, Gemini) to significantly accelerate design, scripting, and platform prototyping. However, speed must be paired with engineering rigor: you must possess deep foundational technical expertise to critically review, audit, validate, and refine all AI-assisted output, ensuring production-grade code quality, data accuracy, and system reliability. PRIMARY RESPONSIBILITIES: Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data tools AI-Accelerated Development & Rigorous Validation: Proactively utilize advanced AI tools (including Claude Code, Gemini, and coding assistants) to accelerate development cycles, automate repetitive coding tasks, and speed up platform prototyping. Thoroughly review, debug, unit-test, and validate all generated code and analytics logic for correctness, security, and efficiency Data Pipeline & SQL Engineering: Extract, clean, transform, and model complex multi-source R&D data. Develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance Analytics & Insight Generation: Translate operational requirements into act

Partnering with stakeholders across the Technical Services (post-sales support) team, Analytics, Finance, and other teams around the business, this role surfaces key insights to drive business decision-making. The Business Analyst will own recurring business reporting cadences, support strategic and ad-hoc analysis, and help translate complex operational data into clear recommendations for leaders across the organization. This role requires strong analytical and technical skills, operational rigor, an ability to work across multiple functional areas, and a data-first mindset in a fast-paced environment. The ideal candidate is passionate about understanding and communicating customer experience and business performance through data, and is comfortable balancing repeatable operational reporting with deeper analytical work. We are looking to speak to candidates who are based in the eastern timezone and ideally can go into the office for our hybrid working model. Responsibilities Own recurring business reporting cadences and deliver high-quality, on-time reporting materials for leadership reviews, performance reporting, and operational planning Conduct a thorough first pass of the data for each deliverable by identifying meaningful trend changes, anomalies, open questions, and areas that warrant deeper follow-up, so reporting is paired with insight rather than just raw metrics Drive analyses of Technical Services business processes, service performance, pricing models, deal structures, and other operational topics; highlight actionable insights and communicate trends that help the business grow and scale Support recurring financial, forecast, and capacity-related analysis in partnership with Finance and cross-functional stakeholders Partner closely with Analytics, Data Engineering, and Data Architecture teams to ensure data is ingested, cleaned, configured, and documented in a consistent and accurate manner Consult with stakeholders on what data and reporting they

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sales Operations, Planning Analyst About the Job Twilio is seeking a data-driven, strategically minded individual to join our Strategic Operations pillar within Sales, Operations, and Enablement. Reporting directly into the Strategic Operations team, this role sits at the intersection of business strategy, sales planning, and advanced analytics. You will lead our target-setting process and align customer segmentation with broader GTM organizational objectives. This role goes beyond standard schedule management; you will define our operational "North Star"—ensuring targets are ambitious, achievable, and backed by robust analytical modeling, forecasting, and data infrastructure. Responsibilities In this role, you’ll: Lead the annual and semi-annual target-setting cycles for the global sales organization Present target proposals, growth opportunities, and complex data insights to senior leadership using clear, data-ba

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Opportunity Overview: This is a hands-on, strategically oriented leadership role embedded within our Clinical Operations and Commercial organizations. The right candidate brings sharp analytical instincts, a bias for action, strong business partnering capabilities, and the ability to deliver reliable financial leadership at a pace that keeps up with a fast-moving commercial business. Beyond technical finance execution, this role requires someone who can act as a trusted business partner - working closely with internal stakeholders to influence decisions, shape strategy, and drive financial accountability across functions. What you'll do: Own and lead capacity modeling for Clinical Operations staff - ensuring headcount is tightly aligned with patient volume, operational targets, and cost objectives, while flagging risks and maintaining alignment with approved plans Own headcount management reporting across Clinical Ops and Commercial teams - tracking actuals, performing detailed actual vs. plan variance analysis, identifying root causes, quantifying impacts, and presenting clear narratives to leadership with speed and precision Lead budget and forecast cycles in close partnership with Operations and Commercial leaders - building rigorous, bottoms-up models that are both data-backed and actionable Own and maintain gross margin workbooks on a monthly basis, incorporating actuals with precision and producing variance commentary that drives decision-making Conduct ROI and cost-impact analysis on process improvements, product changes, and new initiatives - providing data-driven recommendations that guide spend decisions and resource allocation Serve as a trusted financial advisor to Clinical Operations and Commercial leadership - proactively identifying financial risks, opportunities, and trade-offs that inform strategic business decisions Build and maintain dynamic financial models using Adaptive Insights (Workday Adaptive Planning) to manage planning cycles, scenario mo

MongoDB is seeking a Business Operations & Strategy Senior Analyst to join a small, high-impact team working on some of the company’s most important strategic and financial priorities. You will work directly with senior leaders across finance, product, and analytics, including regular exposure to C-suite on high-stakes questions that shape how MongoDB scales. The scope spans strategic planning, business case development for new products, and partnerships with AWS, Google Cloud, etc.. This role is ideal for someone with strong analytical horsepower, structured thinking, and executive presence who wants meaningful ownership and direct visibility into major business decisions. This role is a hybrid / in-office role, with approximately two to three days per week in our New York City Office. Responsibilities Own high-priority strategic and operational initiatives that shape MongoDB’s growth, efficiency, and long-term scale Develop executive-facing business cases and recommendations for key product and infrastructure decisions, including scenario analysis and trade-off evaluation Manage vendor relationships and contract negotiations with hyperscalers (AWS, Google Cloud, Microsoft Azure) Partner with Finance, Product, and other cross-functional teams to evaluate business performance, surface key drivers, and translate ambiguous questions into structured analyses Build and refine gross margin analyses and forecasting frameworks across MongoDB’s core and emerging businesses Requirements 2-5 years of experience in business strategy and operations, preferably at least 2 years as a management consultant or at a data-driven product/technology company Outstanding problem-solving skills and the ability to structure ambiguous business questions into clear analyses and actionable recommendations Strong executive communication skills, with the ability to distill complex findings into concise, compelling narratives Advanced Excel and PowerPoint skills (or Google Suite

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview We are seeking a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. You'll transform vehicle telemetry, service logs, and operations data into clear insights that improve decision-making across operations, safety, and engineering teams. This role focuses on analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements. Responsibilities Analyze vehicle telemetry, service logs, dispatch data, and operational metrics to identify trends and actionable insights Build and maintain dashboards and recurring reports for fleet operations, safety, and engineering stakeholders Define, track, and report on KPIs related to fleet performance, mission success, readiness, and operational efficiency Ensure datasets used for analysis are accurate, well-structured, and re

Opportunity Overview: This is a hands-on, detail-oriented role embedded within our Clinical Operations and Commercial organizations. The right candidate brings sharp analytical instincts, a bias for action, and the ability to deliver reliable financial support at a pace that keeps up with a fast-moving commercial business. What you’ll do: Review and, where needed, build capacity models for Clinical Operations staff — ensuring headcount aligns with patient volume, operational targets, and cost objectives Update and maintain gross margin workbooks on a monthly basis, incorporating actuals with precision and producing variance commentary that drives decision-making Own headcount management reporting across Clinical Ops and Commercial teams, providing leadership with timely, accurate views of staffing costs vs. plan Analyze the cost impact of process and product improvements, translating operational changes into clear financial outcomes and recommendations Support budget and forecast preparation for both functions — partnering with Operations and Commercial leaders to build credible, data-backed plans Utilize Adaptive Insights (Workday Adaptive Planning) to manage planning cycles, scenario modeling, and financial reporting with efficiency and accuracy Apply AI-powered analytics tools to automate routine tasks, surface insights faster, and continuously elevate the quality of financial outputs This role rewards people who care deeply about the quality and timeliness of their work and who bring a collaborative, ownership-driven mindset to everything they do. Strong attention to detail — gross margin workbooks and capacity models are foundational to how we run the business, and getting them right matters Fast turnaround — leadership relies on timely analysis to make decisions; the expectation is responsive, not reactive Strong partnership instincts — you work closely with Operations and Commercial leaders and must earn their trust through consistent, high-quality support Av

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-agency Product Analyst to join the Lending product team at Paytm. This role sits at the intersection of analytics, product management, technology, and product operations. You will drive data-backed decision-making across lending funnels across acquisition and servicing, identify opportunities for impact, and take operational ownership of selected product workstreams to improve execution velocity and free up PM bandwidth. This is a high-impact role with direct influence on revenue and customer experience. Key Responsibilities Product Analytics & Insights Own end-to-end funnel analytics for lending products (financial securities). Build dashboards tracking key product metrics. Conduct cohort analysis across user segments and their performance. Design and evaluate A/B tests (pricing, UI flows, underwriting rules). Create decision frameworks for feature prioritization backed by data. Product Operations Own release monitoring and post-release performance tracking. Manage experiment rollouts and ensure clean measurement. Key Metrics Funnel conversion rates Servicing and experience Disbursal growth Time-to-disbursal Pricing & experimentation. Expectations • 3 to 6 years of experience in Product Analytics, preferably with a background in Lending. • Strong SQL proficiency (mandatory). • Experience with Python/R for modeling preferred. •Strong understanding of credit lifecycle and lending unit economics. • Experience building dashboards. • High ownership mindset and bias for execution. • Prior experience in a fast-paced B2C fintech environment (preferred). Why join u

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Operations Performance & Enablement Team supports the TaxJar product and broader Tax Operations teams by using data to drive better decisions and continuous improvement. We make performance visible, decisions deliberate, and improvement repeatable—acting as a force multiplier by uncovering insights early, translating signals into action, and building systems that ensure one-time fixes become repeatable capabilities. Our work enables the tax operations organization to scale with stability and confidence. What you’ll do We're looking for an Operations Insights analyst to help us understand and improve how our Tax operations scale and deliver. In this role, you'll investigate operational performance, analyze data to uncover meaningful patterns, and build reporting infrastructure that enables teams to make better decisions. You'll work at the intersection of data analysis, operations, and product insights—translating complex operational data into clear insights that drive action. This role is ideal for someone who excels at digging into robust operational data, asking "why" repeatedly, and building systems that help others find answers independently. Responsibilities Investigate operational performance: Conduct deep-dive analyses to uncover why metrics change, distinguish signal from noise, and identify root causes across filing operations, user operations, and risk workflows Partner with operations teams: Work directly with operational