Senior Data Analyst leveraging SQL, ETL, and Power BI skills to deliver actionable insights for enterprise SaaS. Collaborating with data engineers and business leaders to optimize performance.
Responsibilities
Leverage SQL, ETL experience, and advanced Power BI skills to transform raw data into trusted, actionable insights
Work closely with data engineers, product managers, and business leaders to define KPIs, develop scalable reporting solutions
Uncover patterns and opportunities that optimize business performance
Build enterprise-grade datasets, automate reporting workflows, and ensure the highest standard of data quality and consistency across the BI ecosystem
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related analytical field
5+ years of experience as a data analyst or business intelligence analyst working with large and complex datasets
Strong proficiency in SQL (query optimization, stored procedures, analytical functions)
Proven experience with ETL processes, including data extraction, cleansing, transformation, and load automation
Hands-on experience designing and building scalable BI datasets, semantic models, and dataflows
Advanced knowledge of PowerBI
Experience with enterprise data pipelines, data warehouses, and data modeling best practices
Familiarity with cloud environments (AWS, Azure, or GCP)
Strong analytical and problem-solving ability, with a track record of delivering insights that influence decision-making
Excellent communication skills, including a good working proficiency in verbal and written English.
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