Identify patterns and relationships to evaluate, maintain and enrich data quality across multiple systems and data sources
Continually assess and evaluate processes to improve efficiency in data cleansing activities, with a focus on identifying automation opportunities.
Develop flexible, reusable, and efficient SQL code while adhering to best practices.
Conduct root cause analysis (RCA) and impact analysis to identify data quality issues, inform automation efforts, and report findings to teams and stakeholders
Optimize queries and procedures, troubleshoot and resolve issues, and collaborate with team members to analyze business requirements
Contribute to the design and implementation of ETL processes using PL/SQL, SQL or Python.

Requirements

Bachelor’s degree in computer science, or relevant discipline
5-8 years of professional work experience analyzing and finding insights in large data sets
Experience with the Snowflake database platform and reporting tools such as Power BI, Tableau and Sigma
Proven analytic skills, including mining, evaluation, analysis, and visualization
Ability to learn rapidly and adapt quickly to changing situations
Strong attention to detail and a proactive problem-solving attitude.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SQLPL/SQLPythonETLdata cleansingdata quality analysisroot cause analysisimpact analysisquery optimizationdata visualization

analytical skillsattention to detailproblem-solvingadaptabilitycollaborationcommunication

Bachelor’s degree in computer science