Data Analyst (Pega)

• To enable and simplify analysis required for faster implementation of new CDH modeling features

• Prioritized Deliverables

• Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis

• Standardize format for executing key data retrieval steps for use by the broader team

• Interaction to outcome attribution (account opens)

• Model data to interaction mapping (model performance, predictor performance)

• Member Profile to interaction mapping

• Create notebooks for the broader team to use to answer specific questions

• Distribution Analysis

• Arbitration Analysis

• Channel Engagement Analysis, * Gauging the impact of enabling the feature

• Creating the ongoing monitoring approach

• On-going Analysis

• Model Performance Monitoring

• Though MDSA owns the code to run the notebooks, when changes must be made to the code GEM is heavily involved in creating the new logic NBI Program Model Health

• This exists in some form today, but it is not in a state that is readily available to be shared with leaders in O&A, MDSA, or broader Marketing

• Broader O&A Analytical Gaps (Things Red, Sumant, and Tai typically scramble to create which should be readily available)

• "Actionable Monitoring Data:" Standardizing how we conduct this sort of analysis for consistency

• Capture when propensity scores are exceptionally low closer to real-time (1 day)

• Capture when actions are not providing value to their intended objective (acquisition, engagement)

• Eligible Audience Monitoring

• Identifying Members eligible for different actions/treatments (simulation environment can help after going live to a certain extent)

• Tying interactions back to key Member demographic data for more granular analysis (this sort of analysis should be standardized so it can easily be done by all Members of O&A)

• Databricks

• Python and pyspark

• Advanced SQL: across large datasets (complex SQL)

• Pega CHD data structures (highly preferred)

• Experience building analytical frameworks/notebooks

• Model-evaluation/model-monitoring

Applicants must be legally authorized to work in the United States. Sponsorship not available., * The primary technical skills required would be familiarity with the databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.

• Some examples of the work as it directly relates to GEM
• Initial Analysis to Support New Model Related Features
• Propensity Thresholds
• Creating the back-testing approach (MDSA had no appetite at the time)
• Establishing baseline KPIs
• Creating the monitoring approach
• Initial Model Maturity Analysis (though Morgan's team is starting to be involved)

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.