Data Analyst Jobs

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w

Become a part of our caring community The Business Intelligence Lead serves as the primary analytics and enrollment operations expert supporting Medicaid Enrollment. This role is responsible for leading state implementation readiness efforts, regulatory and contractual reporting support, enrollment analytics, compliance monitoring, and analytics modernization across Medicaid markets. The Business Intelligence Lead solves complex business problems and operational challenges using internal and external data sources to provide actionable insights and strategic direction to business leaders. This role serves as the primary analytics lead supporting Medicaid Enrollment Operations initiatives, with responsibility for state implementation readiness, enrollment analytics, compliance monitoring, and scalable solution architecture. This associate functions as a strategic individual contributor and internal consultant, partnering with business leaders, operational teams, compliance organizations, and technology partners to design and implement analytics solutions. The Business Intelligence Lead exercises independent judgment and decision-making authority on complex issues affecting state compliance, enrollment operations, contractual reporting obligations, membership reporting, reconciliation processes, and operational performance. The role leverages modern analytics platforms including Databricks, Power BI, SQL, and cloud-based data environments to create reusable and scalable solutions supporting current and future Medicaid market expansions. This associate is expected to influence strategy, identify opportunities for operational efficiencies, establish reporting standards, and drive modernization efforts that reduce implementation effort while improving compliance, operational visibility, and business outcomes. Use your skills to make an

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and we invest heavily in our team. Our Account Executives are set up to thrive while generating a meaningful pipeline, winning new customers, and directly contributing to the success of our organisation. Working with Sigma gives you the opportunity to join a high-growth company at an exciting stage. Our Account Executives are crucial to expanding our customer base and driving continued growth, making this one of Sigma’s most impactful roles. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely enjoy with people you value working alongside Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to engage a diverse range of businesses in consultative sales Owning your sales process from first call to demo to proposal, proof of concept, and contract Collaborating with a motivated and high-performing sales team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline and support customer initiatives Your Qualifications: Ideally two or more years of experience closing deals Experience in the data analytics or BI space (e.g. Looker, Tableau, Domo) preferred Background in high-tech software sales preferred Demonstrated success in pipeline generation and quota attainment Partnership and co-selling experience pr

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

This role is responsible for managing the collection, analysis, and reporting of operational data from all sites to support decision-making and performance monitoring. This role requires meticulous attention to detail, strong coordination skills, and proficiency in data analytics to ensure the timely and accurate delivery of reports to internal stakeholders and management. Source: Adani Group | Job ID: 57347

Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you! What you’ll be doing: Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries. Providing technical leadership and guidance to library engineers working with you. Find opportunities to improve user experience and library performance. What we need to see: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience). 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA. C/C++ programming and software development skills. Proven experience in leading and completing software development projects. Strong collaboration, communicati

Role Overview We are looking for a senior Sales Planning & Distribution Strategy leader to drive data-led planning and distribution strategy for a large-scale field sales organisation. The role will focus on network planning, manpower optimisation, territory design, productivity improvement and capability building. Key Responsbilities • Lead Sales Planning and Distribution Strategy for a large field organisation. • Develop manpower and network plans based on business potential, productivity and market requirements. • Design and optimise territories, locations and field-force deployment. • Use business data and analytics to identify productivity gaps and improve sales output. • Develop frameworks for workforce planning, capacity planning and productivity management. • Build and strengthen sales capabilities, processes and planning mechanisms. • Work closely with business, sales and analytics teams to drive data-backed decisions. • Identify opportunities to improve the utilisation of the existing distribution network and merchant relationships across multiple products. • Build scalable planning models that can support future business growth. • Lead and mentor a small team of 1–2 data/analytics resources supporting planning and execution. WHAT WE ARE LOOKING FOR • 10+ years of overall experience, preferably in Sales Strategy, Distribution Strategy, Sales Planning, Network Planning or Sales Transformation. • Experience working with large-scale field sales or distribution teams. • Strong understanding of manpower planning, territory planning and distribution/network optimisation. • Strong analytical and problem-solving skills with the ability to work with business data and translate insights into actionable plans. • Experience designing planning frameworks and processes rather than only executing existing plans. • Strong stakeholder management and communication skills. • Demonstrated experience in capability building and improving sales productivity. • Experience in

Responsible for preparing financial MIS reports, budgeting, variance analysis, and forecast updates for MTCSL. Supports data analysis to improve performance, monitors budget adherence, reviews NFAs, and identifies improvement areas. Experienced in financial modelling and key management reporting, ensuring accurate reviews, controls, and actionable insights for business decisions. Source: Adani Group | Job ID: 46123

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. For over 180 years, 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. The Industry Practice Expert Banking, is a hands-on, execution-focused role within the Industry Practice environment. The role supports and operationalizes the Industry Practice strategy by turning industry expertise, data assets, and technology capabilities into concrete use cases, customer solutions, and sales enablement outcomes. The Expert operates at the intersection of industry knowledge, data, and delivery execution. Acting as the analytical and operational extension of the Industry Practice Lead, the role focuses on structuring requirements, shaping use cases, supporting solution design, and ensuring that industry initiatives move from concept to scalable implementation. This includes typical Business‑Analyst activities such as requirements analysis, process decomposition, data analysis/mapping, and validation of value assumptions. Working closely with sales, product, data science, AI, and operating unit teams, the Expert ensures that industry insights are consistently translated into practical, repeatable, and commercially relevant solutions that can be deployed across customers and regions.

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. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility , delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy , focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep) , which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutti

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead, Senior Decision Scientist serves as a strategic analytics and ideation leader supporting Payment Integrity Affordability initiatives with a primary focus on Fraud, Waste & Error (FWE) and Special Investigations Unit (SIU) programs. This role provides leadership and guidance to a team of Decision Scientists while driving the development, evaluation, and implementation of innovative opportunities that improve affordability outcomes and strengthen Payment Integrity capabilities. The Lead Decision Scientist is responsible for establishing analytical frameworks, managing ideation pipelines, defining success metrics, and identifying cross-functional opportunities that create enterprise value across Payment Integrity programs. Required Qualifications 7+ years of experience in healthcare analytics, Payment Integrity, Fraud, Waste & Error (FWE), Special Investigations, or related healthcare operations. 5+ years of experience leading analytical projects or providing technical leadership within a healthcare environment. Demonstrated experience working with healthcare claims platforms including ACAS, QNXT, HRP, or comparable systems. Experience using SAS, SQL, Python, R, or other analytical and statistical programming languages. Experience performing advanced data analysis, opportunity identification, trend analy

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's 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. Department Introduction The Probe Area Manufacturing Engineering (AME) team supports semiconductor manufacturing through data-driven decision making, capacity planning, and continuous improvement initiatives. We collaborate closely with Operations, Industrial Engineering, Process Engineering, and Equipment Engineering to improve factory performance and operational excellence. Our team develops scalable systems, analytics, and business processes that enable manufacturing success. Position Overview The Manufacturing Engineering Intern will support projects focused on manufacturing analytics, process optimization, and operational improvement. This role provides hands-on experience applying Industrial Engineering principles within a fast-paced semiconductor manufacturing environment. The successful candidate will partner with engineers to develop insights, improve reporting solutions, and support data-driven decision making. Responsibilities Analyze manufacturing data and develop insights to improve factory performance. Develop dashboards and reporting solutions that support engineering and

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines