Lead Data Analytics Engineer Jobs

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About PlayStation Games and Publishing Analytics In Games and Publishing Analytics, we partner with PlayStation Studios and global publishing teams to help titles succeed across the full lifecycle. We bring together marketing, audience, social, commercial, and product data to understand performance, evaluate investment, and guide decisions from pre-launch planning through launch and live service. We're looking for a Lead Analyst, Publishing Analytics who combines deep marketing- measurement expertise with strong business judgment and a talent for turning fragmented signals into clear, practical guidance. This role will lead high-impact programs across social intelligence, marketing mix modeling, and publishing decision support while helping build the data and analytical practices that allow the work to scale. What you will be doing As a Lead Analyst, Publishing Analytics, you'll work with Marketing, Community, Publishing, Product, Analytics Engineering, Data & AI, and game teams to answer complex questions about audience and player response, campaign effectiveness, marketing strategy, and long- term title and franchise health. You will: • Lead social listening, sentiment, and creator analytics across PlayStation titles and franchises, using sources such as Mel

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on — and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments. As a Senior Analytics Engineer, you’ll also act as an applied data science partner. In addition to core analytics engineering, you’ll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team. As a Senior Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid's Marketing data stack. You will build the dbt models, predictive frameworks, and self-serve data products that Marketing leadership uses to plan spend, measure performance, and drive growth. You'll partner directly with PMM, Growth Marketing, and Marketing leadership to deliver core data models, frameworks, and tools — including LTV, lead scoring, and experimentation tooling — with a north star that aims for prescriptive and production-grade analytics. You'll also help build the

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 We are looking for a hands-on leader to own the data, analytics, and AI portfolio end to end — and the team that builds it. You are the single point of accountability between business stakeholders and the analytics organization: gathering and pressure-testing requirements, turning ambiguous problems into a prioritized roadmap, and leading the developers, analysts, and data scientists who deliver scalable, trusted, widely adopted products. This is not a role that manages from a distance. You will be in the requirements sessions, the data model reviews, the SQL, the dashboard design critiques, and the model evaluations — and you will be measured on adoption and business outcomes, not backlog size or model sophistication. WHAT YOU'LL DO Team Leadership & Talent ● Lead the team. Manage a talented team of senior and junior developers, analysts, and data scientists — setting direction on best practices, engineering standards, and alignment with team priorities. ● Develop people. Mentor team members, connecting their personal and professional goals to real career growth; set the standard for rigor and craft. Stakeholder Partnership & Requirements ● Be the trusted partner. Serve as the primary interface to the different organizations and run structured discovery to elicit underlying needs, not feature requests. ● Write requirements that hold up. Translate business questions into testa

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 We are seeking a strategic Senior Analyst - Data & Analytics to champion our people analytics function and shape data-driven talent decisions. This is a high-impact, hands-on role where you will design, build, and deploy AI-augmented analytics products that drive workforce effectiveness and organizational performance. You bring deep HR domain fluency, a flair for compelling data storytelling, and proven experience turning complex workforce data into strategies that senior leaders actually act on. You will be a key partner to HRIS, IT, and global business leaders — sitting at the intersection of data engineering, business insight, and AI-powered tooling. What You'll Do Lead the full lifecycle of people analytics projects — from gathering stakeholder requirements to delivering scalable, validated, and actionable insights that guide business and talent strategy. Design, build, and deploy executive-ready analytics dashboards by leveraging AI and GenAI tools (including Claude) to rapidly prototype and implement custom web-based solutions — delivering intelligent, self-serve analytics experiences without the constraints of traditional BI platforms. Explore, prototype, and deploy AI powered analytics solutions to support workforce planning, attrition prediction, and people insights at scale. Partner with HRIS, IT, and business leaders to drive data integrity, governance, and seamless integration across core HR system

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on. About the Analytics Engineering Org Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org. What You'll Be Doing Directly lead a team of Analytics Engineers embedded in a defined business domain, owning their performance, development and wellbeing Own the AE roadmap for your domain, identifying the highest-

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. As a Lead Developer Advocate, you will serve as a critical bridge between Snowflake’s product and engineering teams and the global developer community. You will create technical content, reference implementations, demos, and programs that help SQL developers, analytics engineers, data engineers, and data teams succeed with Snowflake. You will also represent the voice of the developer internally, translating friction points and emerging workflow needs into actionable product feedback, enablement priorities, and roadmap input. What You’ll Do Define and drive the advocacy strategy Own and execute the developer advocacy strategy for a key Snowflake domain spanning SQL development, analytics workflows, and the modern data stack. Align advocacy priorities with product goals, adoption opportunities, and measurable business outcomes. Identify the highest-value technical narratives, workflows, and proof points that will accelerate developer adoption and trust. Create technical content and reference implementations Build high-quality technical content including tutorials, quickstarts, blog posts, videos, workshop materials, code samples, and opinionated best-practice guides. Design and maintain production-grade reference implementations and demos that show how to use Snowflake for re

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. Strategically plan and deliver meaningful projects to increase data literacy at Storytel. Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. Collabor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Yield Analysis Module Lead, you will leverage advanced data analytics and deep process knowledge to identify, characterize, and quantify key yield limiters within assigned fab modules. You will lead rigorous investigative efforts to determine root causes of yield excursions, develop and publish actionable yield paretos, and translate complex data into clear technical direction for improvement. Working closely with the YA PTO team, Process Integration, and Process Engineering, you will provide accurate, data-driven guidance to the fab, influence corrective action strategies, and drive sustainable yield improvements. This role offers direct ownership of yield performance and a critical opportunity to impact continuous improvement across the manufacturing line. Lead and maintain an effective training and development program, providing coaching and mentorship to elevate team proficiency and support growth of direct reports. Proficient in Module based Data Analysis, Part Type Ownership Analysis and new part setup activities Track probe yield performance and trends to identify, characterize, and explain gaps between target and actual yields. Perform advanced data analysis to quantify yield issues and generate accurate yield paretos that guide fab priorities and improvement efforts. Apply statistical and data‑mining techniques to identify root causes and uncover opportunities for sustainable yield improvement. Collaborate closely with PI, Probe, PE, EFA, and PFA tea

At Citi Services - Global Trade and Working Capital Solutions (TWCS) Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what's possible. The Opportunity We are seeking an Engineering Director to join our development team. The ideal candidate is a seasoned technologist with extensive experience in building and delivering data & AI solutions for business functions. This individual will be directly and fully accountable for solution delivery and should have a history of creating strategic technology architecture roadmaps aligned with business outcomes. The successful candidate will define and execute the technology roadmap for the Data & AI portfolio of TWCS, providing strategic direction and critical input into technology decisions to ensure a scalable buildout. This role involves building strong relationships with senior business and technology partners, driving agile execution, and leading a team of expert engineers to deliver with velocity and quality. Applicants should demonstrate exceptional technical acumen, a strong data engineering background, and a proven ability to lead and provide technical direction to high-performing engineering teams. A proven expertise in Data Engineering, Data Analytics, and AI Engineering delivery at scale is essential. Responsibilities: Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and processes Develop vision for team aroun

Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth. As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy. What you’ll do: Lead the design and implementation of complex data pipelines and infrastructure across multiple domains Mentor junior engineers, sharing expertise and raising team-wide engineering standards Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs Participate in on-call rotations to support critical platform jobs and reduce operational disruptions Champion a culture of exce

This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations. As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours). PRIMARY RESPONSIBILITIES: Team Leadership and Operations Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams. Enforce operating procedures for compliance, quality, and efficiency. Measure, report, and continuously improve team operational effectiveness. Lead the team during critical production incidents or emergency events during and outside standard business hours. Technical Execution and Infrastructure Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit). Develop and maintain technologies for operational efficiency

This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations. As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours). PRIMARY RESPONSIBILITIES: Team Leadership and Operations Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams. Enforce operating procedures for compliance, quality, and efficiency. Measure, report, and continuously improve team operational effectiveness. Lead the team during critical production incidents or emergency events during and outside standard business hours. Technical Execution and Infrastructure Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit). Develop and maintain technologies for operational efficiency

At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year. We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us! The Role Behind every nonprofit that moves to Bloomerang is a mountain of data that has to land somewhere safe, accurate, and ready to use. Conversion Data Analytics makes that happen, and as Manager, Conversion Data Analytics, you make sure the team doing it is set up to succeed. You’ll own the performance, development, and delivery outcomes for a team of Conversion Data Analysts across post-sale conversion journeys. That means leading people, managing workload, and protecting delivery quality and consistency, while partnering closely with Leaders, Conversion Project Managers, and Engineering. You’ll translate strategy into execution and turn a high-volume, high-stakes process into one your team can run with confidence. What You Will Do Lead, coach, and develop a team of Conversion Data Analysts, investing consistent time in feedback, growth, and day-to-day support. Own delivery outcomes and final prioritization decisions across the team’s conversion portfolio, balancing delivery pressure with sustainable team practices. Use data and KPIs to spot trends early, weigh risks and tradeoffs, and step in before small

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for StarRez's data, analytics, and AI capabilities. You'll partner closely with Engineering, Design, Customer Success, and business leaders to build products that help customers make better decisions, improve operational efficiency, and unlock greater value from their data. This role balances strategic thinking with hands-on product execution. You'll lead initiatives from discovery through delivery, using customer research, analytics, and market insights to prioritize opportunities and measure success. You'll also help shape how AI and intelligent automation are incorporated into the platform, ensuring new capabilities solve meaningful customer problems while supporting StarRez's long-term product vision. Role Specifics Work Location: Remote (US) with a strong preference for candidates willing to work a hybrid schedule from Denver, CO Travel: 5% (The percentage of travel is an estimate and can vary based on business needs.) Reporting Structure: This role reports to the Senior Director, Product. Application Deadline: This role will accept applications until filled. What You Will Own Define and evolve the long-term product strategy and roadmap for Star