Data Analyst

Role Overview

We're looking for a highly skilled Data Analyst with deep expertise in SQL and Power BI to drive enterprise-wide data initiatives. This role is ideal for someone who thrives on solving complex data challenges, building scalable solutions, and enabling data-driven decision-making across the organization.

You'll play a pivotal role in automating data processes, standardizing data across platforms, and delivering enterprise-grade analytics solutions that support strategic goals.

Key Responsibilities

• Develop and maintain advanced SQL queries, stored procedures, and views to support data extraction, transformation, and analysis.
• Design and deploy Power BI dashboards and reports that deliver actionable insights to business leaders and operational teams.
• Implement row-level security, DAX measures, and performance tuning for large datasets.
• Lead efforts to standardize data definitions, formats, and governance across disparate systems and platforms.
• Build and optimize automated data pipelines to reduce manual effort and improve data reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Support enterprise initiatives by integrating data from a variety of platforms and business systems.
• Document workflows, and reporting standards to ensure consistency and transparency.

Required Skills & Qualifications

• Proficiency in SQL (complex joins, performance tuning, data modeling).
• Advanced experience with Power BI (DAX, Power Query, data visualization best practices).
• Strong understanding of enterprise data architecture and integration strategies.
• Proven experience in automating data workflows and building scalable analytics solutions.
• Familiarity with data governance, metadata management, and master data concepts.
• Bachelor's degree in Data Science, Computer Science, Information Systems, or related field.

Preferred Skills

• Experience with Azure Data Services.
• Exposure to cloud-based data warehousing and big data technologies.
• Understanding of Agile methodologies and enterprise project delivery.
• Familiarity with CI/CD pipelines and version control (e.g., Git).
• Knowledge of insurance, financial services, or regulated industries is a plus.
• Knowledge of Informatica is also a plus.