3,707 Data Analytics jobs in India

Roles and Responsibilities

Job Summary:

We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.

Requirements

Key Responsibilities:

Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.

Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.

Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.

Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.

Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.

Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.

Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.

Required Skills and Qualifications:

Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).

Postgraduate qualifications in relevant fields will be an added advantage.

3 to <6 years of experience in data analytics or a related discipline.

High-level proficiency in:

SQL and similar tools for querying and handling large datasets.

Python or equivalent programming language for data manipulation and automation.

Business Intelligence tools such as Power BI and Tableau.

MS Office tools including Excel (advanced), Word, and PowerPoint.

Basic statistics and research tools (R, T/Stata, etc.).

Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.

Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.

Benefits

We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.

This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.

If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.

Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.

Overview

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.

Within CSCP, the Spares Supply Chain organization is reinventing and transforming the cloud service parts supply chain. Our goal is to ensure the right spare parts are in the right place at the right time to support global capacity requirements and make sure our customers have the cloud capacity they need when they need it.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Bachelor’s degree in Data Engineering, Analytics or business

• Ability to manage numerous competing priorities in a flexible and fast-paced environment
• Capable of strong individual contribution and influence across non-direct reporting teams
• Problem-solving capability
• Ability to maintain good judgment in fast-paced, high-stress environments
• Cloud / high tech supply chain experience is a plus
• Strong written and oral communication, organization, and time-management skills with high attention to detail
• Analytical aptitude while able to maintain a broader perspective, identifies and evaluates opportunities to enhance the business through cross-group collaboration
• Experience working on Data Engineering workload
• Knowledge of working in cloud-computing environment - Azure preferred
• Experience in DevOps
• Experience in Data Science
• Experience in High-tech Supply Chain, Reverse Logistics, or Service Parts industry is a plus

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings:

Responsibilities

• In this role you are required to develop BI solutions to measure and scale Spares Supply Chain business
• Ability to navigate highly matrixed organization to commit to deliverables, due dates, and clear accountability for action follow up
• Drives clear, compelling, actionable, well-timed insights through storytelling, visualizations, and other tools that influence product/service improvements that yield customer/business value
• Architect, design, develop, implement, and maintain scalable solutions for analysis of complex and ever-growing data
• Partner with business stakeholders, PMs, Engineers, and other Data Scientists to understand business context, identify opportunities, translate business needs into analytical and technical requirements, and deploy solutions
• Design, develop, and maintain data pipelines, back-end, and front-end services for reporting, monitoring, analysis, and related functions.
• Accountable for high quality analytics & visualizations that drive business impact & positive outcomes. Provide clear, effective, and timely communications
• Ability to communicate technical concepts and quantitative analysis in a clear, precise, and actionable manner to non-technical audiences
• Maintain flexibility with regard to work hours to support worldwide communications as needed