Posted on: 28/03/2026
Description :
Role : Power BI Reporting Specialist & Databricks
Location : Hyderabad, Telangana
Work Model : Hybrid
Role Overview :
We are seeking a Power BI Reporting Specialist with strong experience in retail analytics, enterprise-scale datasets, and the Azure analytics ecosystem. The role focuses on transforming complex, multi-channel data into high-impact reports, dashboards, and executive-ready insights that drive business decisions and optimize brand performance.
Key Responsibilities :
- Analyze and synthesize multi-source and multi-channel retail data to evaluate brand initiatives using quantitative KPIs and qualitative insights.
- Design and deliver high-impact Power BI dashboards, reports, and executive presentations that translate complex data into actionable business narratives.
- Track and monitor initiative performance over time, identifying trends, risks, and opportunities to maximize ROI and resolve operational bottlenecks.
- Conduct outcome and post-implementation assessments, capturing insights and institutionalizing learnings across teams.
- Partner closely with business and operational stakeholders to identify growth opportunities and build data-driven business cases aligned with corporate objectives.
- Lead and support the end-to-end rollout of reporting and analytics solutions, ensuring adoption, usability, and data accuracy.
- Act as a subject matter expert (SME) and trusted advisor for reporting, insights, and analytics best practices.
- Ensure adherence to data modelling standards, performance optimization, and governance best practices.
- Experience with ETL / ELT pipelines and tools such as SSIS
- Strong experience in the Azure analytics ecosystem, like Azure Databricks and Azure Synapse
Required Experience & Skills :
Education :
Bachelors or Masters degree in Computer Science, Engineering, MCA, M.Tech, or related technical discipline (preferred).
Experience :
- 5 - 9 years of hands-on experience in advanced data analytics and business intelligence.
- Proven experience working with large-scale datasets (50M+ records).
- Mandatory experience in the Retail domain, with a strong understanding of retail KPIs, hierarchies, and data patterns.
Technical Skills :
Power BI & Analytics :
- Advanced proficiency in Power BI (Desktop & Service) for enterprise reporting and visualization.
- Strong expertise in DAX (complex calculations, time intelligence, performance optimization).
- Hands-on experience with Tabular Editor, Power BI performance tuning, and semantic model optimization.
- Strong knowledge of Power BI Tabular Modeling, including relationships, measures, and scalability best practices.
Data Architecture & Cloud :
- Solid working knowledge of Cloud Data Platforms, Medallion Architecture (BronzeSilverGold), and Lakehouse-based analytics environments.
Strong experience in the Azure analytics ecosystem, with preference for :
1. Azure Databricks
2. Azure Synapse Analytics
- Ability to integrate Power BI with cloud-based data platforms for enterprise reporting solutions.
Data Engineering & Querying :
- Advanced proficiency in SQL for data extraction, transformation, and validation.
Experience with ETL / ELT pipelines and tools such as :
1. Azure Data Factory (ADF)
2. Azure Synapse Pipelines
3. SSIS
Soft Skills & Competencies :
- Exceptional analytical thinking and problem-solving abilities.
- Strong business acumen with the ability to connect data insights to business outcomes.
- Excellent communication and stakeholder management skills, including interaction with senior leadership.
- Proven ability to create clear, concise, and executive-level presentations.
- Highly collaborative, proactive, and detail-oriented mindset.
Preferred (Nice to Have) :
- Experience working in enterprise retail analytics environments.
- Exposure to Databricks notebooks, Delta tables, and Lakehouse governance concepts.
- Experience supporting UAT, business validation, and executive reporting initiatives.
Did you find something suspicious?
Posted by
Posted in
Data Analytics & BI
Functional Area
Data Mining / Analysis
Job Code
1624416