Leverage data to answer business questions by identifying data needs, extracting data from relevant sources, and performing detailed analysis
Use technical expertise (e.g., SQL, Python, PySpark) and analytical tools to explore operational data, identify trends, drivers, and outliers, and explain performance outcomes
Design, build, and maintain standardized reports and dashboards that support C&CE operational reviews and decision-making
Enable self-service analytics by creating clear, well-structured reporting solutions using business intelligence tools including novel AI technologies
Ensure data accuracy, consistency, and reliability through validation, reconciliation, and quality checks
Respond to ad hoc analytical requests while identifying opportunities to standardize or automate recurring analyses
Partner closely with cross functional stakeholder groups to align analytics outputs with business needs

Requirements

Bachelor’s degree in analytics, statistics, mathematics, economics, computer science, business, or a related field preferred
Two years of relevant experience in data analytics, reporting, or business intelligence roles
Advanced proficiency in SQL and Python- including complex joins, subqueries, and performance optimization
Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI)
Strong analytical and problem-solving skills with the ability to explain complex data clearly
Excellent written and verbal communication skills

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonPySparkdata analysisreportingdata visualizationperformance optimizationdata validationdata reconciliationbusiness intelligence

Soft Skills

analytical skillsproblem-solving skillscommunication skills