Description

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Analytics, or related field.

4+ years of experience in Data Analytics, Business Intelligence, or Decision Support.

Expert-level SQL skills, including:

Complex joins

Window functions

Common Table Expressions (CTEs)

Query optimization

Data validation

Strong experience analyzing large, complex datasets.

Experience with Power BI, Tableau, or similar visualization platforms.

Strong understanding of data modeling and relational databases.

Excellent written and verbal English communication skills.

Demonstrated ability to independently manage competing priorities.

Preferred Qualifications

Experience using Databricks, Spark SQL, Delta Lake, or Lakehouse architecture.

Experience working with cloud data platforms (Azure preferred).

Knowledge of Python or PySpark for advanced analytics.

Hands-on experience with AI-assisted or conversational analytics platforms (e.g., Databricks Genie/AI/BI, Genie Agents, Microsoft Copilot), including configuration, testing, administration, or enablement.

Understanding of semantic layers, governed metrics, business definitions, and metadata used to support trusted self-service analytics.

Experience testing conversational analytics outputs and reconciling generated answers to source data or independently developed SQL.

Experience with event-based analytics platforms such as Amplitude or Google Analytics.

Exposure to customer, digital commerce, or loyalty analytics

Key Skills

Education

Bachelor's degree