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Analytics Lead Jobs

3,716 active opportunities · Updated for October 2026

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Explore current analytics lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

M
16 days ago

About the Team Being part of Meesho's Fulfilment and Experience (F&E) team as Cluster Head LM, will zip you to the cockpit of our ever-burgeoning rocketship, where you get to directly shape the experience of the country's next billion e-commerce users. We are an eclectic mix of 100+ professionals with diverse skill sets ranging from running operations/support, supply chain know-how, analytics and the holy grail, first principles problem-solving. At Meesho, we’re trying to do what's never been done before - taking e-commerce to the masses. This leaves us with no choice but to completely reimagine logistics from the ground up, to cater to our customers' price and delivery expectations. That means a host of "zero-to-one" projects (takers, anyone?) to build a supply chain to change how folks think about e-commerce in India and globally. We are firm believers in fun at work. With monthly F&E happy hour sessions, informal team outings, and internal virtual water cooler chat sessions, there’s never a dull moment with us About the Role As Cluster Head LM, you’ll own the onboarding and training of partners. You’ll also drive key operational metrics by regularly visiting their facilities in different cities in your area. You’ll take complete ownership of processes allotted to you and work with various stakeholders to achieve team goals. You’ll continuously work towards identifying gaps and providing recommendations for improving our processes. What you will do Own the onboarding and training of new partners for Last Mile operations in your cluster. Identify and onboard new partners onto the network on an ongoing basis Track and own the performance of different partners in your cluster Visit facilities to conduct audits and solve operational gaps Ensure compliance with operational processes Own and drive critical operational metrics end to end and achieve performance targets Continuously work towards identi

supply chainlogisticsrecruitment
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W
16 days ago

Job Overview Wargaming’s Center for Player Insights is hiring an experienced UX Researcher to champion player needs and inform product decisions across live-service and in-development titles. You will partner closely with game teams, including UX Design, Game Design, Product Management, and Product Analytics, to frame research questions, select the most suitable methods, and run both in-lab and remote UX research studies. You’ll synthesize findings into clear, actionable recommendations that influence roadmaps and player experience quality. Reports to Director of Player Insights What will you do? Plan, design, and run research across the product lifecycle, including usability testing, playtesting, longitudinal or diary studies, concept testing, focus groups, and one-on-one interviews, both in person and remotely. Translate stakeholder questions into clear business goals and research objectives. Define research hypotheses and sampling plans. Manage studies end-to-end, including scoping, design, recruiting oversight, moderation, analysis, reporting, and presentations. Drive timelines and keep stakeholders aligned across multiple projects. Partner with Research Operations on participant recruitment and incentives, and lab or remote setups. Uphold research ethics and data privacy best practices. Synthesize and communicate actionable insights and recommendations tailored to game teams, ensuring findings are clear, prioritized, and easy to act on. Contribute to the Center for Player Insights’ research strategy and evangelize user-centric development across Wargaming. Stay current on industry trends and play Wargaming titles to build deep product understanding. Be willing to occasionally adjust working hours for participant availability with advance notice, including late evenings on weekdays. What are we looking for? 2+ years of hands-on UX or user research experience in a business environment, with demonstrated end-to-end ownership of studies, independently scopin

aiproject managementrecruitment
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C-
CLEAR - Corporate
📍 New York• $120K – $150K/yr
16 days ago

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is seeking a data-driven Product Marketing Manager (B2C) to help bring new products and businesses to life across our travel portfolio. This role focuses on increasing attach rates, deepening member engagement, and expanding average revenue per subscriber (ARPU) through high-impact cross-sell and upsell strategies. Sitting at the intersection of Product, Growth, Lifecycle, Creative, and Analytics, you will shape positioning, messaging, packaging, and promotional strategy for new offerings—ensuring they are clearly differentiated, compelling, and seamlessly integrated into the member experience. You will partner with Creative, Growth, and CRM to translate those strategies into cohesive, multi-channel campaigns. This is a high-ownership role for someone who understands subscription economics, is comfortable navigating ambiguity, and knows how to drive incremental revenue while balancing long-term retention. What you'll do: Develop positioning, campaign messaging, and creative briefs that clearly articulate the value of new products Own the product marketing strategy for targeted cross-sell and upsell campaigns, partnering with Integrated Marketing and channel owners to activate across in-app, email, paid, and owned channels Partner with Lifecycle Marketing to design personalized journeys that introduce add-ons at high-intent moments in the member lifecycle Identify behavioral signals and segmentation strategies to optimize audience targeting, offer timing, messaging, and relevance Design and execute experiments to increase co

N
17 days ago

About the Team Netlify is a product-led growth company, and Revenue Operations owns the systems, data, and infrastructure that turn that growth into revenue. With a large volume of people discovering and signing up for Netlify every day, Marketing Operations is critical to understanding those users, connecting activity across our systems, and creating scalable ways to engage them throughout their journey. As Senior Marketing Operations Manager, you’ll own the operational foundation behind that work. You’ll connect HubSpot, Salesforce, product data, and analytics, build the systems and lifecycle infrastructure that turn signals into action, and give Marketing and our GTM partners trusted visibility into performance. Reporting to the Senior Director of Revenue Operations, you’ll translate the Marketing Operations vision into a roadmap and independently drive it forward while partnering closely with Growth, RevOps, Data, Product, and other GTM teams. What You’ll Do Execute on the Marketing Operations roadmap, translating broader Marketing and GTM priorities into scalable systems, processes, and programs. Own our marketing automation platform end to end, including workflows, lifecycle stages, segmentation, forms, lists, email operations, data hygiene, deliverability, governance, and documentation. Build and maintain the connection between marketing automation, Salesforce, product data, and analytics so we can understand and engage users throughout the customer journey. Establish reliable attribution and measurement across marketing and product-led journeys, including UTM governance and connections between campaigns, signups, activation, conversion, and revenue. Build reporting and self-service dashboards that give Marketing and GTM partners a trusted view of performance and support weekly, monthly, and executive-level decision-making. Partner with Growth to operationalize lifecycle programs across email, in-product experiences, and sales-assist triggers, turning c

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N
Nvidia
📍 Remote, Italy• Remote
17 days ago

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking for an AI Computer Engineer to join its NVIDIA Infrastructure Specialists (NVIS) team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI factory systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyse, define and implement large scale AI Factory projects. The scope of these efforts includes a combination of Networking, System Design and Automation while being the face to the customer. What you will be doing: Primary responsibilities will include deploying, managing, and maintaining AI infrastructure for new and existing customers. Be the domain expert with customers during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent experience.

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M
17 days ago

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

pythonsqlmachine learning
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BE
20 days ago

About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. About the Role We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key. This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage. Leverage AI tools and software for Building new and maintaining existing software security features Meeting evolving software security needs in existing software Developing new components as needed Perform security assessments and code reviews on internal and external customer-facing applications Work closely with engineers to remediate security vulnerabilities using AI tools Develop security automation and tooling to improve security Support bug bounty program and vulnerability handling Investigate newly reported vulnerabilities Determine ways to remediate them Provide guidance to engineering based on known vulnerabilities found in existing applications Understanding cryptography and secure authentication Knowled

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CC
CCL Confidential
📍 Vancouver• Full-time• C$125K – C$200K/yr
20 days ago

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to

aigoexcel
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CC
CCL Confidential
📍 Vancouver• Full-time• C$125K – C$200K/yr
20 days ago

We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-oiled machine responsible for generating key investment insights that drive trades. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of evaluating and integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in the data space. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science, machine learning, AI, and process engineering skillsets to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your specialized role will involve building, scaling, managing and evaluating our integrated data model, in direct support of alpha research. You will be supported with coaching and mentorsh

machine learningaigo
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SI
20 days ago

Education: Master or Bachelor’s degree in computer science, information systems management or related field. Solution and Architecture certifications such as TOGAF or other. Experiences: More than 12+ years of experience in information technology, with 8+ years spent in data architecture or technology solutions definitions and implementations. Extensive experience in banking and financial services domain Knowledge & Skills: Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.) Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenki

pythonjavagit
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AC
Appian Corporation
📍 Chennai• Full-time
20 days ago

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The BI Analyst will be an integral part of our award-winning team, focused on leveraging business intelligence tools, including Tableau, to drive data-driven decision-making, provide global end-user support, and ensure continuous improvement for our analytics and reporting platforms. This role involves managing internal user tickets, performing system administration, creating high-impact reports and dashboards, and providing technical guidance and oversight to other team members. Key Responsibilities: End-User Support and Issue Resolution Provide timely, global end-user support, documenting, troubleshooting, and resolving requests, incidents, and problems via email and ticketing systems. Critically analyze, triage, and resolve complex issues. Utilize and build decision trees to evaluate and appropriately escalate issues to internal technology teams. Collaborate with Appian’s technology team to resolve application issues and provide guidance on system utilization. System Administration, BI Development, and Team Oversight Provide day-to-day regional oversight, guidance, and mentorship to junior members of the Sales. Perform essential system configuration, maintenance of user roles and profiles for core analytics platforms (e.g., Salesforce). Design, build, and maintain high-impact reports, dashboards, and data visualizations using both Salesforce and Tableau to meet advanced business intelligence needs. Documentation and Platform Improvement Create and maintain thorough documentation of processes, policies, and application configurations. Update the knowled

awsaiexcel
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H
Hyreo
📍 Bengaluru• Full-time
20 days ago

Qualifications & Experience 8+ years of work experience required with a minimum of 4 years in a product management role. Product Craft: Designing and shipping software consumer facing products. Stakeholder Management: Work closely with Engineering and Business to drive the product roadmap. Ability to organize, manage, prioritize and take tradeoff calls while working with engineering and other stakeholders. Cutting Edge: Be in the know of product/business trends within and areas adjoining the UGC charter and be able to bring the relevant ones to the roadmap. Data/Logic-driven Approach: to work with large quantities of data, insights and business skills to leverage analytics for decision making.

A
Artefact
📍 Pune• Full-time
20 days ago

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

SC
Sigma Computing
📍 San Francisco• Full-time• $240K – $270K/yr
20 days ago

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world largest companies Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user growth Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build an innovative product capabilities Qualifications We Need 10+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience to enable customer facing cap

typescriptpythonsql
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SC
Sigma Computing
📍 San Francisco• Full-time• $150K – $240K/yr
20 days ago

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world largest companies Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user growth Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build an innovative product capabilities Qualifications We Need 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience to enable customer facin

typescriptpythonsql
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