Summary

We are looking for a highly skilled Senior Data Analyst with strong experience in the Azure data ecosystem and Power BI to deliver actionable insights, build enterprise-grade dashboards, and enable data-driven decision-making. The role requires close collaboration with business stakeholders, data engineers, and architects to translate business needs into scalable analytical solutions.

The ideal candidate combines strong analytical thinking, deep SQL skills, solid Azure data platform exposure, and advanced Power BI development expertise.

Key Responsibilities

Analytics & Insights

Work closely with business stakeholders to understand analytical requirements and KPIs. Translate business questions into data models, reports, and dashboards. Perform exploratory data analysis to identify trends, anomalies, and opportunities. Deliver actionable insights to support strategic and operational decision-making.

Power BI Development

Design, develop, and maintain enterprise Power BI reports and dashboards. Build optimized data models using star/snowflake schemas. Write advanced DAX measures and calculations. Implement best practices for: Performance optimization Row-Level Security (RLS) Incremental refresh. Ensure consistent UX, visual standards, and data storytelling.

Azure Data Platform

Work with Azure-based data sources including: Azure Synapse Analytics Azure SQL Database Azure Data Lake Storage (ADLS) Azure Databricks (read/consume curated datasets) Collaborate with data engineering teams to: Define analytical data requirements Validate data pipelines and transformations Perform data validation, reconciliation, and quality checks

Data Modeling & SQL

Apply data governance and security standards including: Role-based access control Data sensitivity and compliance requirements Document dashboards, datasets, KPIs, and definitions. Support self-service BI adoption across the organization.

Required Skills and Experience

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent practical experience). Minimum 8+ years of experience in data analytics, BI, or reporting roles. Expert-level Power BI skills, including: Advanced DAX Data Modeling Performance tuning Strong proficiency in SQL Hands-on experience working with Azure data platforms, including: Azure Synapse Analytics Azure SQL Azure Data Lake Storage (ADLS) Solid understanding of data warehousing concepts and dimensional modeling.