Data Analytics Engineer Jobs

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.

Job Title: Gen AI Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: Role: Data Engineer Location : Bangalore Key responsibilities 1. Design, develop, and deliver AI, Generative AI, and agentic AI use cases that improve operational efficiency, reduce cycle time, and enhance customer/colleague experience. 2. Partner with cross-functional teams (Operations, Product, Technology, Risk, Compliance, Data) to identify high-value opportunities, translate them into requirements, and deliver scalable AI solutions that reduce manual effort and operational risk. 3. Establish and implement data & AI governance to ensure data quality, integrity, security, m

Opportunity Overview: We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement. This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices. What you’ll do: Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation. Support release management, quality testing, version control, and promotion of analytics assets across environments. Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance. Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration. Lead integration of Tableau dashboards into front-end web applications using the Ta

Opportunity Overview: We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards.. This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment. What you’ll do: Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements. Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.). Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security. Ensure data consistency and quality in reports by working closely with the data management team. Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines. Perform data analysis and ad-hoc queries to support business decision-making. Stay current with industry best practices and emerging BI technologies. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of secu

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role: We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: • Engage with clients to understand their business context • Understand business processes and map the complete process in visual formats. • Translate business problems into analytical structures and solve using statistical/ML techniques • Manage a team of data analysts to deliver solutions for clients. • Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Desired Skills & Competencies: • Developing and enhancing algorithms and models to solve business problem. • Providing end-to-end analysis support across different industry domains and application areas. • Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations) • Conducting quantitative analyses and interpreting results • Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). • Proficient in MS SQL Data

Job Title: Senior Data Analyst Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform quality checks (QC) and validation of reports and dashboards before client delivery. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, and business rules. Track work items, enhancements, and issues using JIRA . Mandatory Skills & Requirements (Must-Have) Strong hands-on experience with Tableau (mandatory), including: Dashboard development and publishing Calculated fields, filters, parameters, and LOD calculations Data blending and joins Row-Level Security (RLS) implementation Replacing and managing data sources Exp

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimization Data Analyst We are looking for a Data Analyst to join our Optimization Data Analytics team. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants. This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization. Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce. What you’ll do Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions. Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help Adyen grow 20x. Be a Subject Matter Expert: Act as

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role New York Times Wirecutter team is looking for a Senior Manager, Audience & Product Analytics to power our growth strategy. Your core mandate will be to build an understanding of our audience— who they are, how they engage with content and product features, and what brings them back. You will lead a team of analysts responsible for understanding audience trends, driving product improvement, and optimizing user engagement. You will provide leadership and data-driven insights, working with audience, product, and engineering leads to establish goals, design experiments, and uncover new opportunities. You will report to the Executive Director of Data Analytics and Insights, Wirecutter. This opportunity is flexible to in office or remote work. Responsibilities You will manage a team of three direct reports—promoting a culture of curiosity and excellence while setting clear deliverables, supporting career growth, and ensuring high-quality analytics output You will analyze audience growth, traffic drivers, customer journey touch points, and user engagement trends to inform strategic decision-making. You will partner with functional leads (Product, Design, Engineering, Editorial) to set strategy, define goals, and build the audience and product analytics roadmap. You will lead the design, execution, and post-analysis of product experiments (A/B testing). Provide expertise on primary metrics, trade-offs between competing goal

Location : Come and join us in Hamburg, Berlin or Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Senior Data Analyst (m/f/d) to collaborate with our operational squads. In this role you will be able to become an expert in our business and data analysis systems and environment to allow you to champion data-driven decisions as part of the Data Operations team. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from data. Use your technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks. Bringing new insights and championing them using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there's always a new path to follow if your idea is convincing and well-backed with data. Develop monitoring tools to measure performance and help the business achieve its objectives. Create queries to answer operational and business questions across our many operational teams to support decisions. Communicate results in a clear and impactful manner. TO BE SUCCESSFUL IN THIS ROLE: Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics 5+ years of experience in an analytical role You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results Curiosity about AI and its practical applications in analytics, experience using LLMs or AI-powere

Location : Come and join us in Hamburg, Berlin or Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Senior Data Analyst (m/f/d) to collaborate with our operational squads. In this role you will be able to become an expert in our business and data analysis systems and environment to allow you to champion data-driven decisions as part of the Data Operations team. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from data. Use your technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks. Bringing new insights and championing them using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there's always a new path to follow if your idea is convincing and well-backed with data. Develop monitoring tools to measure performance and help the business achieve its objectives. Create queries to answer operational and business questions across our many operational teams to support decisions. Communicate results in a clear and impactful manner. TO BE SUCCESSFUL IN THIS ROLE: Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics 5+ years of experience in an analytical role You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results Curiosity about AI and its practical applications in analytics, experience using LLMs or AI-powere

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. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to

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. Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us! The Role: We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate will have strong hands on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines. You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Data Analyst (L3) About the job This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment. Responsibilities In this role, you’ll: End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights. Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning. Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations. Data Standardisation

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

To lead the enterprise data architecture and data platform engineering initiatives for Adani Airport Holdings Limited, driving the digital transformation of airport operations. This role focuses on designing highly available, secure, and scalable data analytics platforms leveraging Databricks on Microsoft Azure cloud to enable real-time situation awareness, data-driven decision-making, optimize passenger flow, and support the strategic growth of AAHL’s aviation ecosystem. Source: Adani Group | Job ID: 53636