Role OverviewBRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building reusable data queries, scripts, and Databricks notebooks that allow teams to analyze customer interactions, model performance, engagement, and business outcomes.
What You Will Do
Develop SQL, Python, and PySpark queries and scripts to analyze customer and interaction data. Build reusable Databricks notebooks for broader analytics teams. Replicate Pega CDH customer contextual data in external analytics environments.
Why It Might Be a Fit
The ideal candidate will have strong Databricks experience, advanced SQL skills, and experience analyzing large customer or transactional datasets. Ability to translate analytical questions into repeatable data solutions and strong analytical and problem-solving skills are also required.
Requirements
- Strong Databricks experience
- Strong Python and PySpark skills
- Advanced SQL skills
- Experience building data queries, scripts, and reusable analytics notebooks
- Experience analyzing large customer or transactional datasets
- Experience with model performance analysis and KPI monitoring
- Ability to translate analytical questions into repeatable data solutions
- Strong analytical and problem-solving skills
Benefits
- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
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