Data Analytics Engineer - Pega CDH

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., * 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.
• Standardize data retrieval and analysis processes across the team.
• Map customer interactions to business outcomes such as account openings and engagement.
• Analyze model and predictor performance.
• Connect member profile data to customer interactions for deeper analysis.
• Perform distribution, arbitration, and channel engagement analysis.
• Establish baseline KPIs for new modeling capabilities.
• Develop back-testing and monitoring approaches for model changes.
• Monitor model performance and identify potential performance issues.
• Analyze propensity scores and identify abnormal or low-performing results.
• Evaluate whether actions and recommendations are achieving intended business objectives.
• Monitor eligible audiences for different actions and treatments.
• Develop reporting and monitoring that can be easily shared with business and analytics leadership.
• Perform other duties as assigned

• 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.

Desired:

• Pega Customer Decision Hub (CDH) experience.
• Experience with customer decisioning or next-best-action platforms.
• Experience analyzing propensity models or predictive models.
• Experience with customer interaction and engagement analytics.
• Experience supporting marketing, customer analytics, or decision science teams.

Pulled from the full job description

• Tuition reimbursement
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance, * 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

Salary: 95k-112k