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Data Analytics SME

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Data Analytics SME

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Data Analytics SME

Skills

SQL QueriesData EngineeringPythonData VisualizationRDatabricksData AnalysisMachine LearningAISupply Chain ManagementPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Telangana, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


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.

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