Data Analytics Engineer Jobs

👋 Welcome to Glide! At Glide we’re reimagining the banking experience for the modern world . Our embedded fintech platform empowers legacy financial institutions, like community banks and credit unions, to pioneer novel digital experiences for their customers. You’ll be joining an all-star team with engineering, product, and growth experience from Stripe, Google, and Amazon. We’re looking for a talented Digital Program Manager (DPM) to help us grow our product to hundreds of banks. We’re bringing a new perspective to the decades-old financial world , and we’re hoping you can help us do that! Your Responsibilities: Run customer implementations from kickoff to go-live, including requirements gathering, implementation calls, User Acceptance Testing meetings, and bug reporting Oversee customer account management, including formal communications of product updates and roadmaps Travel to client sites for project kickoffs, training sessions, and other key project activities Leverage AI tools to streamline and optimize day-to-day responsibilities Analyze customer data to ideate and recommend new features and enhancements Maintain an accurate record of all customer interactions and transactions, reporting and escalating issues as needed Identify and develop new business opportunities with existing clients Need-to-Haves: Strong understanding of SaaS business models and large-scale software implementation projects Experience working at a financial institution or fintech company Excellent communication and negotiation skills Technical understanding of fintech products Experience working with agile engineering and design teams Nice-to-Haves: Customer-facing experience at an early-stage company Previous experience in a product or customer-facing role at a fintech or FinServ company Experience with data analysis tools such as SQL Familiarity with project management tools, customer success software and CRM systems A collaborative, entrepreneurial spirit And finally, a brief overvi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is seeking a Fraud Model Developer to join our Fraud Model Development team. In this role, you will develop, evaluate, and monitor machine learning models that support data-driven fraud and risk decisions across SoFi’s products and services, including Personal Loans, Student Loans, Credit Cards, and Crypto. You will build quantitative and machine learning solutions designed to reduce fraud losses, minimize false positives, lower operational costs, and protect SoFi members. You will also analyze model and product performance, identify key drivers of fraud losses, and translate complex findings into actionable recommendations for business and risk partners. This role requires strong experience in machine learning, statistical modeling, data analysis, and model performance monitoring. You will work closely with Fraud Risk, Fraud Operations, Product, Engineering, Finance, Accounting, and other business teams to develop scalable fraud-modeling solutions and ensure model performance and loss trends are clearly communicated. What you’ll do Develop quantitative, statistical, and machine learning models that reduce fraud losses, minimize false positives, and lower operational expenses associated with fraud complaints and disputes. Aggregate, clean, and synthesize large datasets from multiple data envir

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. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Are you excited by the opportunity to be part of a dynamic trading environment that values teamwork and collaboration? Do you thrive in an innovative atmosphere? If so, we encourage you to consider Chicago Trading Company! The Role The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role as a Quant Trader or Quant Researcher. As a QTA, you will work in a high-impact role as a member of a trading or quantitative team. You will play a vital part in identifying trading opportunities and impacting your team through dynamic problem solving — including trade execution, strategy formulation, back-testing, data analysis, and the modeling and pricing of traded financial derivatives — while communicating with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of the trading and quant operation and work towards a role that generates trading revenue or drives strategy development for the team. In addition to the

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level product manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor Help engineers and designers deeply understand user needs, empowering them to make great product decisions Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for 6+ years e

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor Help engineers and designers deeply understand user needs, empowering them to make great product decisions Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for 6+ years e

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Accountant on the Cyprus Finance team, you'll be responsible for the day-to-day accounting operations of Coinbase Financial Services Europe Ltd (CBFSE), our MiFID-regulated entity. You'll own critical accounting workflows including journal entries, reconciliations, and regulatory reporting to CySEC and the Central Bank of Cyprus, ensuring Coinbase's financial records accurately reflect our evolving crypto business across the region. What you'll do: Own daily operational accounting for CBFSE, including recording journal entries, preparing supporting schedules, and maintaining balance sheet reconciliations. Execute daily reconciliation reporting and other periodic regulatory submissions required by CySEC, the Central Bank of Cyprus, and applicable CIF frameworks. Partner cross-functionally with FP&A, Tax, Treasury, Source-to-Pay, and engineering teams to ensure proper accounting treatment and accurate financial reporting. Support internal and external audit processes by providing documentation, analysis, and timely responses within your areas of responsibility. Drive data analysis against business drivers to identify trends, resolve discrepancies, and recommend process improvements to strengthen accounting operations. Required Skills and Experience: 3+ years of experience in accounting or finance within a Cyprus Investment Firm (CIF), Big Four firm, or f

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. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

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. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

About Us: 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. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About Telco Team: Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment • Digital Platforms • CVM Solutions • Enterprise Services • Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. Key Responsibilities:- -Assist in gathering basic business requirements for Telco services. -Support documentation of functional specifications and user stories. -Learn and contribute to the product lifecycle of assigned services. -Monitor performance and health of live Telco services. -Assist in initial investigation of operational issues and incidents. -Support creation and maintenance of operational documentation. -Learn and utilize service monitoring tools and platforms. -Participate in testing of new service features or deployments. -Contribute to routine daily operations tasks. -Collaborate with cross-functional teams (Engineering, QA, Support). -Develop understanding of Telco protocols and service delivery. -Enhance skills in data analysis, reporting, and troubleshooting. Qualification Required:- - B.E. Electronics & Telecommunications graduate. - 2–5+ years of exp

About Us: 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. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About Telco Team: Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment • Digital Platforms • CVM Solutions • Enterprise Services • Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. Key Responsibilities:- -Assist in gathering basic business requirements for Telco services. -Support documentation of functional specifications and user stories. -Learn and contribute to the product lifecycle of assigned services. -Monitor performance and health of live Telco services. -Assist in initial investigation of operational issues and incidents. -Support creation and maintenance of operational documentation. -Learn and utilize service monitoring tools and platforms. -Participate in testing of new service features or deployments. -Contribute to routine daily operations tasks. -Collaborate with cross-functional teams (Engineering, QA, Support). -Develop understanding of Telco protocols and service delivery. -Enhance skills in data analysis, reporting, and troubleshooting. Qualification Required:- - Fresher B.E. Electronics & Telecommunications graduate. - 6–12+ yea

About Us: 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. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About the team: Paytm Travel has revolutionized the travel industry - intending to empower millions of travelers who choose us as their preferred travel partner. Being one of the largest travel platforms in the country, we aim to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich the customer experience by making every transaction transparent, honest and hassle-free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with trustworthy travel partners. Key Responsibilities 1. You are a dynamic problem solver, driven by a passion for data and the compelling narratives it reveals. 2. Constantly challenging the status quo, you possess a keen ability to understand and navigate its complexities. 3. Graduates/Post Grads from Tier 1/2 colleges with Engineering, Management/ Finance background are preferred. 4. Strong working knowledge in SQL, Excel and visualization tools like Looker, Tableau. 5. Understanding of Data-analysis languages like R/Python in core Statistical Concepts is expected. 6. Support the development, execution and optimization of growth campaigns across various channels to enhance user acquisition, engagement and retention. 7. Familiar with CRM platforms like Clevertap/Mo-engage. Familiarity with Digital marketing channels and metrics. 8. Develop and implement sophisticated customer segmentation strategies to personalize marketing efforts, enhance targeting accuracy, and drive impactful engagement. 9. Ability to work colla

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing: Titleist is seeking a passionate and driven Associate Research Engineer to help shape the future of golf club performance through innovation, engineering, and data-driven design. In this role, you will apply engineering principles, scientific methods, and advanced computational tools to explore emerging technologies, analyze golf club designs and biomechanical swing dynamics, and validate concepts that contribute to next-generation Titleist products. Working alongside world-class researchers, engineers, and product designers, you will leverage modeling, simulation, and testing techniques to solve complex design challenges and uncover new opportunities for performance advancement. You'll collaborate across Research, Design, Product Development, Testing, Manufacturing, Sales, and Marketing to evaluate concepts, support product innovation, and translate technical findings into meaningful product improvements. This is a unique opportunity to deepen your expertise in golf club research and development, contribute to patentable technologies, and play a direct role in creating the high-performance products trusted by golfers around the world. What You Bring: Bachelor’s degree in Mechanical Engineering, Engineering, Computer Science, or a related field required. Strong foundation in engineering analysis, problem-solving, and product development. Experience with MATLAB and/or Python required. Exposure

As a Staff Product Manager on Datadog's Observability Data Platform (ODP) , you will lead product management for a portfolio of foundational platform bets — work that changes the cost structure and capability of the platform itself, not the cost of any single feature. Among ODP’s portfolio of engineering work are efforts to bring the platform's unit cost down meaningfully each quarter, plus a slate of architectural bets aimed at order-of-magnitude cost reduction over the longer horizon. The work you'll lead reshapes how Datadog ingests, routes, and exposes telemetry value to customers — and is foundational to how every product team in Datadog's ecosystem will think about telemetry economics going forward. This role reports to the Group Product Manager of ODP. What You'll Do: Set product direction across foundational platform bets by defining problems and desired outcomes, partnering with engineering to determine slices of work that drive value in phases for users and the business. Collaborate on the long-term cost-and-value architecture of the platform — how value-aware telemetry, innovative data engines, and customer-facing cost stories fit together over multiple quarters. Develop and defend sizing and impact estimates for large, diffuse programs — credibly produce the analysis that engineering leadership and pricing partners need to make resourcing and prioritization calls. Anticipate and communicate market trends in telemetry economics and agentic observability and how they shape platform investment. Develop deep understanding of cost-to-serve by partnering with engineering on the unit economics of the data platform and bring that cost-profile understanding into collaborative discussions with product verticals about customer-facing trade-offs. Surface the customer-positive angles in cost work that engineering-led optimization tickets don't currently make visible. Deliver concise written and verbal communication to executive, engineering, and customer audien

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org . The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place. By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving—all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance. Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading tech