Hybrid Senior Data Analyst

Posted last month

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About the role

  • 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.

Job title

Senior Data Analyst

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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