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 As part of the broader Addepar Data Management & Quality organization, the Data Client Support team is responsible for ensuring our customers receive first-class support experience and are able get the most value out of their data in Addepar. The Data Client Support team sits at the nexus of Addepar's activity and requires daily communications with clients, data providers, and other personnel across the company. Important : The working schedule for this position is from 6:30 PM to 3:30 AM IST, US business days. 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 Address client inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, Solutions Architects, and other members of GTM to drive alignment on data related escalations and ensure positive outcomes

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

About us: Working at Target means helping all families discover the joy of everyday life. About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building towards an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. <p style="color:!im

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners. In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners Monitor and diagnose KPI performance and present findings to senior leadership Experience: Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field;

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 As part of the broader Addepar Data Management & Quality organization, the Data Client Support team is responsible for ensuring our customers receive first-class support experience and are able get the most value out of their data in Addepar. The Data Client Support team sits at the nexus of Addepar's activity and requires daily communications with clients, data providers, and other personnel across the company. Important : This role requires for you to be in office 3 days per week in Pune. 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 Address client inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, Solutions Architects, and other members of GTM to drive alignment on data related escalations and ensure positive outcomes for clients. P

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Position Overview TEGNA is looking for a Senior Data Analyst is seeking a skilled and forward-thinking CloudEngineer to join our growing technology team. We are a demand-side platform (DSP) helping advertisers and agencies programmatically reach their target audiences at scale. We are looking for a Senior Data Analyst to drive insights across advertiser performance, audience quality, and supply-side partnerships — going beyond surface-level reporting to uncover the stories that data tells. In this role, you will work at the intersection of data, engineering, and data science — collaborating closely with our engineering team to maintain data integrity and with our ML team to translate model outputs into business intelligence. You will analyse how audiences behave across our platform, evaluate the quality and efficiency of inventory sources, develop forecasts that help advertisers and internal teams plan with confidence, and surface actionable intelligence that helps our advertisers deliver better outcomes while growing the overall business. What You’ll Do • Analyse audience behaviour and segment performance to help advertisers improve targeting efficiency, reach, and campaign ROI across programmatic channels. • Evaluate supply-side inventory quality — assessing publisher segments, bid stream data, win rates, and CPM trends — to inform smarter buying decisions and supply curation strategi

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 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Portfolio Data Analyst to join our Portfolio Data Feeds Team! Addepar provides asset owners and advisors a clearer financial picture at every level, allowing them to make more informed and timely investment decisions. As a Portfolio Data Analyst focusing on our portfolio data platform, you will be responsible for integrating client portfolio data into Addepar’s leading portfolio management products. You will work closely with data providers, internal partners and engineering to expand Addepar’s capabilities and coverage to meet client needs. You will partner closely with leaders across the business to build the preeminent data solutions and services that serve investment teams in wealth management and beyond. In addition, you work with other partners within the product management team on a variety of initiatives to improve overall data management and integration across Addepar. 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 Analyse and onboard portfolio data content from a variety of sources using industry standard analysis tools (such as SQL and Jupyter Notebooks) int

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Payment Intelligence Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features. What You'll Do At GoCardless analytics is at the core of everything we do and drives business performance through d

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Payment Intelligence Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features. What You'll Do At GoCardless analytics is at the core of everything we do and drives business performance through d

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Partner with Legal, Digital Technology Group (DTG/IT), and cross-functional teams to design, implement, and optimize systems that support Everpure’s global Legal function . Reporting to the Director, Legal Operations, you will serve as a senior individual contributor driving CLM platform success, system integrations, and intake workflows to scale legal service delivery . You will turn complex business requirements into high-performing legal systems and reliable processes, enabling agile operations across the organization . WHAT YOU’LL DO Drive CLM lifecycle and administration: Lead business-side CLM implementations, platform enhancements, workflows, templates, metadata, permissions, and continuous optimization to maximize contract delivery and user adoption . Design scalable requirements and process workflows: Analyze business needs and map current- and future-state processes into functional specs, user stories, test cases, and UAT plans that connect Legal systems with upstream and downstream platforms . Support legal technology ecosystems: Support and optimize other Legal systems—including intake and workflow, legal service delivery, matter management, e-billing, and AI-enabled tools—in close coordination with DTG/IT, vendors, and business stakeholders . Manage initiative execution and enablement: Maintain delivery roadmaps, backlogs, risks, dependencies, playbooks, process documentation, and training content to

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Monetization Strategy & Operations team within the CFO organization as the Senior Analyst responsible for optimizing our foundational subscription offerings, Foundation and Forever. In this high-impact role, you will own operational initiatives that improve how our subscription business runs, translating business strategy into scalable Quote-to-Cash (QTC) processes while partnering across Product, IT, Finance, Sales, and Operations. You will serve as a key operational partner responsible for improving business processes, defining requirements for system enhancements, leveraging analytics to drive decision-making, and helping scale subscription growth through operational excellence. WHAT YOU'LL DO Own and continuously improve the operational lifecycle for our Foundation and Forever subscription offerings, identifying opportunities to streamline processes, accelerate feature delivery, and improve operational efficiency. Analyze renewal and operational workflows to identify bottlenecks, recommend improvements, and implement scalable solutions across the Quote-to-Cash lifecycle. Translate business needs into clear functional requirements by defining, documenting, and validating system enhancements in partnership with IT and engineering teams. Design, build, and maintain operational dashboards, KPIs, and reporting that provide actionable insights to leadership and drive data-informed decision making. Serve

Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior) Company: The Boeing Company The Boeing Company is currently seeking a Systems Software Engineer (Associate, Experienced or Senior) to support our Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri (St. Louis, MO area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced and Senior Level Software Engineers. The Network Centric Operations Team designs, develops, and implements platform-agnostic software capabilities that enable network operations for tactical fighter aircraft. As a Data Fusion Software Engineer, you’ll develop and prototype advanced sensor-fusion algorithms, applying mathematical and statistical techniques to track and combine data from multiple sensors and sources. You’ll evaluate algorithm performance against key performance indicators (KPIs) and partner with the software architect to transition successful prototypes into production-ready capabilities. We’re looking for a collaborative, accountable professional who is committed to customer satisfaction and continuous process improvement. The successful candidate will thrive in a multi-contract, multi-program environment and apply ingenuity and innovation to complex challenges. You should be adaptable and eager to learn new technologies in evolving development environments. You’ll bring a strong foundation in mathematics and the ability to translate theoretical concepts into practical, real-world solutions, along with the drive to solve difficu

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Responsibilities: Integrates subject matter and industry expertise within a defined area. Contributes to data analytics standards around which others will operate. Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Resolves occasionally complex and highly variable issues. Produces detailed analysis of issues where the best cours

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 Payments organization owns some of Stripe's most critical payment flows and a platform that processes hundreds of billions of dollars in payments a year. Our team is responsible for translating complex partner specifications related to network costs (interchange and scheme fees) into simplified logic for internal and external consumption. This also drives decisions and product recommendations to manage the underlying network costs paid by Stripe and our users. The team partners closely with the engineering, product, finance, and partnership groups to manage and understand Stripe's network costs. Our work is core to Stripe's business, as Technical Operations roles in Payments are a dynamic and key component of Stripe's success. We sit at the intersection of product and platform engineers and financial partners, connecting them to ensure that everyone thrives and nothing is lost in translation. What you'll do We're looking to add payment enthusiasts who enjoy interpreting complex cost structures and ever-changing payment network systems to optimize on behalf of Stripe and our users. You'll be instrumental in building Stripe's approach to managing our global network cost base. Responsibilities • Collaborate across the company, including engineering, accounting, financial partnerships, and product teams, to analyze billions of dollars moving through the Stripe platform • Translate network specifications into implementation instructions to cr