Sr Business Intelligence ( Data Analyst)

Mployee.me; Hyderabad; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Mployee.me is seeking a BI Analytics professional in Hyderabad, India, to drive stakeholder engagement, gather requirements, and translate them into robust KPIs and data definitions. You will design and maintain dashboards using BI tools, perform data analysis, and deliver actionable insights to improve business performance.

You will collaborate with data engineering on ETL processes and data models, uphold data governance, and contribute to agile product development while communicating complex

Qualifications

• Experience using BI tools to create dashboards and reports.
• Strong SQL skills for data extraction and validation.
• Knowledge of data warehouses and ETL/ELT concepts.
• Familiarity with Python or R is a plus.
• Experience with Git and Agile methodologies.
• Exposure to LLMs (Gemini, Claude) is a bonus.

Responsibilities

• Partner with business stakeholders to identify analytics needs aligned with objectives.
• Work with discovery sessions and interviews to gather requirements.
• Translate questions into KPIs and data definitions.
• Design, develop, and maintain dashboards in Looker/Tableau/Power BI.
• Analyze data, generate insights, and provide recommendations.
• Ensure data quality, governance, and collaboration with data engineering.
• Communicate findings to leadership in business-friendly terms.

Job description

Stakeholder Engagement & Requirements Gathering (20%)

• Partner with business stakeholders to identify reporting and analytics needs aligned with strategic objectives
• Conduct discovery sessions, workshops, and interviews to gather and document requirements
• Translate business questions into technical specifications, KPIs, and data definitions
• Act as the primary BI point of contact for assigned business domains

2. Data Analysis & Insights Generation (25%)

• Analyze large, complex datasets to identify trends, patterns, and opportunities
• Perform exploratory data analysis and root cause investigations
• Deliver actionable insights and recommendations to improve business performance
• Apply statistical methods and analytical techniques where appropriate

3. Dashboarding & Data Visualization (25%)

• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Looker, Tableau, Power BI)
• Ensure visualizations are intuitive, scalable, and aligned with best practices in data storytelling
• Support self-service BI by enabling users with governed datasets and reusable dashboards

4. Data Management & Querying (15%)

• Extract, transform, and analyze data from data warehouses and multiple sources using SQL and other querying tools
• Validate data accuracy, consistency, and completeness across systems
• Collaborate with data engineering teams on data pipelines, data models, and ETL processes

5. Data Governance & Quality (5%)

• Support data governance initiatives including data definitions, lineage, and cataloging
• Ensure compliance with data standards, security policies, and regulatory requirements
• Identify and resolve data quality issues and implement controls to prevent recurrence

6. Product & Process Improvement (5%)

• Evaluate internal and external data products to identify opportunities for innovation and efficiency
• Participate in product development lifecycle (Agile ceremonies, backlog grooming, sprint planning)
• Recommend enhancements to BI tools, data architecture, and reporting frameworks

7. Communication & Executive Reporting (5%)

• Present findings and recommendations to leadership in a clear and compelling manner
• Translate complex technical concepts into business-friendly language

Technical & BI Skills

• Proficiency in BI tools (Looker, Tableau, or similar)
• Strong SQL skills; familiarity with Python or R is a plus
• Experience with data warehouses (e.g., Google Big Query, MS SQL, Snowflake, Oracle, Azure Synapse)
• Understanding of ETL/ELT processes and data pipeline concepts
• Familiarity with version control (e.g., Git) and Agile methodologies
• Familiarity with LLMs (Gemini, Claude)