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BRMi

Data Analytics Engineer – Pega CDH

BRMi Vienna, Virginia, United States · $95K–$112K/yr

IT Services and IT Consulting · 51-200 employees

20 h ago
Senior (5-10 yrs) Other United States
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About the role

The Data Analytics Engineer will develop SQL, Python, and PySpark queries to analyze customer interaction data within the Pega CDH environment. They will also build reusable Databricks notebooks and monitor model performance to ensure business objectives are met.

What they look for

Databricks Python PySpark SQL Pega Customer Decision Hub Data Analytics Predictive Modeling Propensity Modeling Customer Interaction Analysis KPI Monitoring Data Querying Model Performance Analysis Business Intelligence Back-testing Reporting

Requirements

Candidates must possess strong experience with Databricks, Python, PySpark, and advanced SQL. Experience with Pega CDH and predictive modeling is highly desired for this role.

Benefits

Comprehensive Medical Insurance Dental Insurance Vision Insurance Employer-Paid Life Insurance Employer-Paid Short-Term Disability Insurance Employer-Paid Long-Term Disability Insurance 401(k) Paid Time Off Educational Assistance

Full description

Overview

BRMi 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.

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

Salary: 95k-112k

**Hybrid in Vienna, VA**

**An In Person interview will be required for this role**

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Responsibilities

  • 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

Qualifications

  • 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.

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.