Senior Data Analyst

Role Overview

The Senior Data Analyst will lead data discovery efforts, investigate and analyze existing data, and ensure data accuracy and consistency. The role will also involve managing cross-functional data governance policies, analyzing data, and creating reports and dashboards.

What You Will Do

Responsibilities include leading data discovery efforts, investigating and analyzing existing data, ensuring data accuracy and consistency, managing data governance policies, analyzing data, and creating reports and dashboards.

Why It Might Be a Fit

The ideal candidate will have experience working with SQL and Excel, familiarity with Python and data quality libraries, and a strong understanding of statistical concepts. Excellent written and verbal communication skills are also required.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science or related disciplines
• Master’s degree in Statistics, Data Science or related disciplines preferred
• At least 5 years’ experience with SQL and Excel
• At least 3 years’ experience with data profiling and cataloging tools such as OpenMetadata, AWS Glue Data Quality, or dbt test
• Familiarity with Python and Python data quality libraries such as Great Expectations, Spark Expectations
• Strong understanding of statistical concepts (hypothesis testing, regression analysis, Analysis of Variance)
• Ability to identify complex problems, analyze data to find root causes, and propose data-driven solutions
• Excellent written and verbal communication skills to effectively present findings and insights to non-technical audiences

Tagged as: Data Analysis