.

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)

- Robust 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)

📌 Sr Business Intelligence ( Data Analyst) (Hyderabad)
🏢 XPO INDIA SHARED SERVICES
📍 Hyderabad