Data Analytics SME

Recruise; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Recruise is seeking a Senior Data Analyst in Hyderabad to analyze business data, build dashboards, and translate insights into actionable recommendations across BI platforms.

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.

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.

Responsibilities

• 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.
• 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.
• Source, cleanse, and transform data in Databricks/Azure.
• Work closely with data engineering teams to define requirements for curated data layers and data marts.
• Optimize queries, datasets, and refresh schedules for improved report performance.
• Handle large datasets efficiently and standardize recurring reports to reduce manual effort.

Skills

Data analysis

Data storytelling

KPI definition

Stakeholder communication

Data visualization

DAX

Dimensional modeling

Education

BE/B.Tech

MCA

MSc in Statistics/Mathematics/Economics

MBA in Analytics

Tools

Power BI

Databricks/Azure

SQL

Microsoft Fabric

Databricks SQL

Python

R

Excel

Job description

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.