Data Analyst

Key Responsibilities

• Collect, analyze, and interpret large datasets to identify meaningful patterns, trends, and insights.
• Develop and maintain SQL queries and data pipelines to support business analysis and reporting.
• Build, enhance, and maintain interactive dashboards and reports in Power BI and Looker.
• Perform data validation and ensure data accuracy, consistency, and integrity across systems.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Document analytical processes, dashboards, and data sources for transparency and reusability.
• Support ad-hoc data requests and provide actionable recommendations to stakeholders.

Skills, Knowledge & Expertise

• Proficient in SQL (querying, joins, aggregations, data transformations).
• Experience with Power BI Desktop for building dashboards and visualizations.
• Basic knowledge of Python for data analysis and automation.
• Understanding of DAX for measures and calculated columns in Power BI.
• Strong analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Excellent communication skills, with the ability to translate data into clear business insights.
  
  Preferred Qualifications (Good to Have):
• Experience working with cloud-based data warehouses (e.g., Snowflake).
• Exposure to ETL tools or data transformation frameworks (e.g., DBT).
• Exposure to orchestration tools (e.g., Airflow).