Analytics Systems Director Jobs

Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. About the role We're hiring a Forward Deployed Analytics Engineer to join our team in New York. You will sit at the intersection of our customers' financial and clinical data and the agentic AI systems we are building on top of it. Working within our managed data pipeline, you will reverse-engineer customer-specific business rules, build the transformations that map raw customer data into our unified ontology and semantic layer, and hold the bar for correctness on everything that flows through it. This is a high-ownership role. You will work directly with customers to understand their source-of-truth financial and clinical models, then translate that understanding into durable, well-tested data transformations. What you'll do Understand customer requirements, current processes, workflows and business logic. Identify the data required to stand up a customer workspace, and review customer source-of-truth financial and clinical data models — potentially on-site with custome

Job Title: HR Analytics Location: Noida About the Role Paytm is looking for a data-driven HR Analytics Analyst to support People Analytics initiatives by transforming HR data into actionable insights. The ideal candidate will have hands-on experience in VBA, Power BI, Python, SQL, HR analytics, and dashboarding, with an interest in leveraging AI to improve HR processes and decision-making. This role will work closely with HR Business Partners, Talent Acquisition, HR Operations, and Business Leaders to build reports, automate analytics, and deliver meaningful workforce insights. Key Responsibilities ● Build and maintain HR dashboards and reports using Power BI, Tableau, or similar visualization tools. ● Use Python and SQL to clean, analyze, and automate HR data reporting. ● Develop predictive analytics models to identify trends such as attrition risk, hiring demand, and workforce planning. ● Support AI-driven HR initiatives by leveraging Generative AI and automation tools to improve reporting and employee insights. ● Partner with HR, Talent Acquisition, Finance, and HR Operations teams to understand business requirements and deliver data-driven solutions. ● Ensure data quality, accuracy, and consistency across HR systems and reports. ● Prepare recurring and ad-hoc MIS reports for leadership reviews. ● Identify opportunities to automate manual reporting processes and improve operational efficiency. ● Present analytical findings through clear visualizations and business-friendly insights. Required Qualifications ● Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Business Analytics, Human Resources, or a related field. ● 2–6 years of experience in HR Analytics, People Analytics, Business Analytics, or Data Analytics. ● Strong hands-on experience with Python (Pandas, NumPy) for data analysis and automation. ● Good knowledge of SQL for querying and managing datasets. ● Experience with Power BI, Tableau, or other BI

Job Description: Data & Analytics Engineer (3-4 Years Experience) : 100% Remote Job Title: Data & Analytics Engineer Experience: 3-4 years Location: Remote Employment Type: Full-time Team: Data Engineering & Analytics About the Role Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds the AWS data pipelines and customer-facing dashboards that power analytics across the platform. We are looking for a Data & Analytics Engineer with 3-4 years of experience who can own dashboard delivery end to end along with the pipelines behind it. The ideal candidate learns fast, builds product context quickly, listens well, and collaborates effectively across product, engineering, DevOps, and customer-facing teams. Key Responsibilities Own dashboard changes end to end in QuickSight and ThoughtSpot - new metrics and filters, SPICE refresh management, internal-to-production promotion, and post-release validation. Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow (MWAA) DAGs. Write and optimize Redshift SQL; debug query performance, connection contention, and data mismatches across sources. Support near-real-time ingestion (Kafka/MSK CDC → Glue Streaming → S3 → Redshift). Investigate customer-reported analytics discrepancies (Jira/support tickets), root-cause them in the data, and communicate findings clearly to support, product, and engineering. Set up and respond to pipeline monitoring - CloudWatch metrics and alarms, monitoring DAGs, refresh health - and participate in incident triage and RCA. Develop deep product knowledge: understand what each metric means to our credit union customers and translate product changes into data model and dashboard updates. Ensure data quality, validation, and consistency across systems. Required Skills & Qualifications 3-4 years of experience in data engineering and/or

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. Micron Technology is seeking a highly motivated Senior Data Science & Product Yield Analytics Engineer to join the Product Yield & Analytic (PYA) organization. This role focuses on applying data science, software engineering, and advanced analytics to semiconductor manufacturing data, with a strong emphasis on Improved Software for Defect Analysis (ESDA) and Electrical Failure Analysis bench testing systems used companywide. In this position, you will employ techniques drawn from statistics, machine learning, semiconductor physics, and large‑scale data engineering to uncover patterns, build predictive models, and develop actionable insights that drive yield, quality, and reliability improvements across Micron’s memory products. You will work closely with Data Scientists, Data Engineers, Product Engineers, Build teams, Yield Enhancement, RDA, Failure Analysis, and IT teams across global sites to develop and expand ESDA capabilities and analytics platforms that directly support manufacturing and product development. Responsibilities: Expand and enhance ESDA capabilities to improve yield, quality, and product reliability. Develop yield, defect matching, and modeling methods to accelerate manufacturing feedback to RDA and YE teams. Create and maintain engineering software tools for ESDA analytics and product line monitoring. Collaborate with design, failure analysis, and product teams to optimize redundancy, compression, and defect analysis methodologies. Support next-ge

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role: Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. The Product Analytics Platform team owns the foundational systems that turn Notion's raw product signals into reliable and actionable insights at scale: how we instrument events, experiment and roll out features, define and trust metrics, and build analytics surfaces that interact with AI agents.. This is an early, high-leverage moment. You’ll join a newly formed team of talented engineers in our mission to build the best in class foundational platforms that are key to the company’s business and product. What You'll Achieve: You'll help shape a brand-new platform team and have real influence over the architecture and roadmap. You'll own critical infrastructure that spans experimentation, feature gating, event logging, schematization, governance and play a pivotal role in the development of systems, tools and

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As part of WPP’s multi‑year Enterprise Technology transformation, the Global CRM Programme is a foundational capability underpinning client, commercial, and data‑driven growth. The consolidation of multiple CRM solutions into a single platform introduces significant systems integration and data complexity, including: diverse legacy systems and interfaces inconsistent client, revenue, and pipeline data, varying agency and market integration patterns A dedicated Systems & Data Integration Lead is required to: define a coherent integration and data strategy prevent point‑to‑point, market‑specific solutions ensure CRM becomes a trusted system of record enable scalable adoption of AI, analytics, and cross‑platform capabilities. The Systems & Data Integration Lead is accountable for defining and governing the integration and data landscape for WPP’s Global CRM Programme, which is consolidating multiple legacy CRM platforms into a single, enterprise‑wide Microsoft Dynamics–based solution. The role ensures the global CRM platform integrates effectively with the wider enterprise ecosy

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 SHOULD YOU ACCEPT THIS CHALLENGE… The GTM BI team at Pure Storage supports Revenue Operations across pipeline, forecasting, seller performance, and executive reporting — and we are at an inflection point. We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our roadmap includes scalable automation frameworks, semantic business intelligence, and AI-enabled workflows that help surface insights with less manual effort. As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering standards, and enabling the team to operate more efficiently before scaling broader AI-enabled capabilities. You will partner closely with BI analysts, Sales Operations, Systems teams, and backend engineering partners to modernize how analytics is engineered, governed, and consumed across the organization. This role is for someone who wants to build — not maintain. WHAT YOU’LL DO… Lead and contribute hands-on to the team’s dbt and Snowflake modernization initiatives Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets Build CI/CD, testing, observability, lineage, and data qualit

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! RevOps Analyst (Analytics) Department: Revenue Operations Function: GTM Analyst, Analytics Location: NYC, SF, Toronto The Revenue Operations team’s mission is to build and maintain the systems, data, and processes that power our go-to-market engine. We are looking for a Revenue Operations Analyst, Analytics to join the team, reporting to the Head of Revenue Operations, focused on partnering with the business to deliver insight to drive measurable revenue growth and operational impact. In this role you may: Partner with GTM leadership to elevate reporting, systems and process to drive revenue growth and decision making Manage, and enhance our quote-to-cash processes to ensure accuracy and compliance Collaborate cross-functionally to enable the Revenue team to be able to see a 360 degree view of the customer in the CRM, including product usage, customer engagement (support tickets, sales emails, marketing campaigns, attribution) and contract data to drive revenue growth and improve sales productivity Drive initiative to improve data hygiene, reporting accuracy and CRM governance Manage urgent ad hoc operational requests This role

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Global Value Engineering Center of Excellence Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business , partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges. We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. The Role: Launch Your Enterprise Software Career Kickstart your career in enterprise software through our immersive 12-month Orbit Program . This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. The Orbit Program is structured into classes and cohorts , with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or

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 . This is a 12-week internship during summer 2027. As an Internal Audit Analytics Intern, you'll join the Internal Audit Data Analytics Team and support data-driven testing of controls across Coinbase's global technology infrastructure and crypto-native products. You'll extract, analyze, and validate datasets from Coinbase's internal data systems to assess control design and operational effectiveness, translating audit data requests into SQL-based extracts and actionable findings that support the audit team's control testing objectives. What you'll do: Write SQL queries against Snowflake and other internal data platforms to assess the design and operational effectiveness of key internal controls Building continuous auditing processes and AI tooling for use throughout Internal Audit Test system and model changes by validating compliance and performance impact, and document results for relevant stakeholders Produce data extracts and reports from a variety of sources, translating audit data requests into clear, actionable requirements and outputs Validate data ETL processes from upstream production systems into the data repository and from the repository into enterprise tools, checking for completeness and accuracy at each stage Required Skills and Experience: Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field Demonstrated SQL pr

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity: Are you driven by the challenge of turning complex operational processes into seamless, high-performing systems? New Relic is looking for a Senior Revenue Operations Manager to own the technical and automation engine behind our Go-To-Market (GTM) organization. As part of the GTM Planning & Process team, you will sit right at the intersection of business strategy, field execution, and cutting-edge technology. You will serve as a strategic partner across our revenue organization, eliminating operational friction, scaling systems, and building solutions that directly impact our growth trajectory. What You'll Do: GTM Strategy & Automation: Drive the GTM technology roadmap (including Salesforce, Clay, and Salesloft). You will pilot emerging AI capabilities and transform manual steps into efficient, automated workflows. Technical Execution & Quality: Partner with cross-functional stakeholders to gather requirements and translate business needs into clear user stories, technical specs, and UAT testing plans. Data Governance & Analytics: Define key system-level performance metrics, build automated dashboards, and collaborate with Data & Analytics to maintain a trusted source of truth. Enablement & Change Management: Guide field adoption of new system features by creating clear documentation, leading enablement sessions, and executing change management strategies. Cross-Functional Alignment: Work closely with Marketing, Sales Operations,

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity: Are you driven by the challenge of turning complex operational processes into seamless, high-performing systems? New Relic is looking for a Senior Revenue Operations Manager to own the technical and automation engine behind our Go-To-Market (GTM) organization. As part of the GTM Planning & Process team, you will sit right at the intersection of business strategy, field execution, and cutting-edge technology. You will serve as a strategic partner across our revenue organization, eliminating operational friction, scaling systems, and building solutions that directly impact our growth trajectory. What You'll Do: GTM Strategy & Automation: Drive the GTM technology roadmap (including Salesforce, Clay, and Salesloft). You will pilot emerging AI capabilities and transform manual steps into efficient, automated workflows. Technical Execution & Quality: Partner with cross-functional stakeholders to gather requirements and translate business needs into clear user stories, technical specs, and UAT testing plans. Data Governance & Analytics: Define key system-level performance metrics, build automated dashboards, and collaborate with Data & Analytics to maintain a trusted source of truth. Enablement & Change Management: Guide field adoption of new system features by creating clear documentation, leading enablement sessions, and executing change management strategies. Cross-Functional Alignment: Work closely with Marketing, Sales Operations,

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 As the SAP Supply Chain Analytics Lead, you will serve as the technical driver behind Everpure’s digital transformation ecosystem, turning complex global operational data into decisive business action. Operating at an Individual Contributor level, you will architect scalable data models and analytics applications that bridge the gap between core SAP S/4HANA transactional systems and modern cloud intelligence platforms. In close collaboration with leaders across eight supply chain sub-departments, your mission is to eliminate operational blind spots, accelerate decision-making, and optimize global planning, procurement, and logistics capabilities. WHAT YOU'LL DO Architect Enterprise Supply Chain Data Models: Determine the optimal methods and procedures to conceptualize, build, and maintain multi-dimensional data models across SAP Analytics Cloud (SAC) and SAP Datasphere, unifying complex demand planning, inventory, warehousing, and transportation workflows into scalable analytics assets. Modernize Cloud Analytics Infrastructure: Lead the transition of legacy data pipelines to modern cloud architectures (such as SAP Datasphere, Databricks, or Snowflake), establishing seamless data flows between SAP S/4HANA, Ariba, and IBP to ensure peak platform reliability and performance. Deliver Strategic BI Products & Dashboards: Design and deploy end-to-end analytical applications, executive scorecards, and operational KPIs

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. This position can be based in Jacksonville, Florida (USA), London (UK), Dublin (Ireland), or Hyderabad (India). Candidates must have the legal right to work in the country where they are applying. The Role: The Vice President, Finance Systems (Revenue and Expense Process & AI) is responsible for the technology, operations and strategy for the ERP platforms that underpin our Global Business. This role leads cross-functional teams to modernise and simplify these processes including how we align all our Global markets onto a unified set of platform and standardized processes. This will be a transformative role which is responsible for the simplification of end-to-end processes and introducing new technologies to improve efficiency, scalability and control across the organization. This role will be heavily focused on the Workday platform and must be expert in the utilisation of Workday as it will serve as the primary point of contact & leadership within D&B. Alongside this, the professional should be a champion for AI innovation and adoption within the Finance department, partnering with the Finance team on opportunities for where advances in AI could be utilised. This will require the candidate to develop an AI strategy for Finance along with a pragmatic adoption process. Key Responsibilities: <li style="background: white; margin: 0cm 0cm 0cm 0px; text-align: justify; font-size: 10pt; font-family: Georgia,