Data Analytics SME

Job Title: Data Analyst

Location: Hyderabad, India

Commitment: Full-Time

Industry: Technology & Engineering

Seniority Level: Senior

Overview

We are looking for a Data Analyst to analyze business data, build insightful dashboards, and translate data into actionable recommendations across enterprise data and reporting platforms, with a strong focus on business intelligence and data storytelling.

The role will partner with business functions to define KPIs, uncover trends, and support self-service BI, data-driven decision-making, and analytics adoption aligned with the organization’s analytics vision.

Key Responsibilities

Data Analysis & Insights

• Analyze large business datasets to identify trends, patterns, gaps, and improvement opportunities.
• Define and track KPIs and business metrics in partnership with functional stakeholders.
• Perform data validation, reconciliation, and root-cause analysis to ensure accuracy of reported numbers.

Dashboard & Reporting

• Develop interactive dashboards and reports using Power BI.
• Build and optimize semantic models and measures, including star schema, DAX, and calculated KPIs.
• Enable self-service analytics for business users and drive adoption through training and documentation.

Data Preparation

• Source, cleanse, and transform data in Databricks/Azure.
• Work closely with data engineering teams to define requirements for curated data layers and data marts.

Report Performance & Optimization

• Optimize queries, datasets, and refresh schedules for improved report performance.
• Handle large datasets efficiently and standardize recurring reports to reduce manual effort.

Required Qualifications

• 5–8 years of relevant experience.
• BE / B.Tech / MCA / MSc in Statistics, Mathematics, Economics / MBA in Analytics, or a related quantitative field.
• Strong hands-on experience with Power BI.
• Strong experience with SQL.
• Strong understanding of data modeling, including dimensional modeling and star schema.
• Advanced Excel skills, including Power Query, Pivot Tables, and What-If Analysis.
• Hands-on experience with data visualization best practices, storyboarding, and business reporting.
• Strong analytical and problem-solving capabilities.
• Ability to translate business questions into analysis and insights into recommendations.
• Strong communication and data storytelling skills across business and technical stakeholders.

Preferred Qualifications

• Experience with Microsoft Fabric and Databricks SQL.
• Experience with Python or R for data analysis and statistical techniques, including correlation, regression, and forecasting.
• Understanding of business processes across SCM, Manufacturing, Quality, Finance, or HR.
• Knowledge of data governance tools such as Microsoft Purview.
• Exposure to Agentic AI, Copilot Studio, and Gennie.
• Exposure to AI/ML use cases or Copilot / GenAI-enabled analytics.
• Experience working in the Manufacturing industry.
• Regulatory experience, particularly in the Pharma industry, is an added advantage.