Job Description
Data Analyst (Pega) - Contract - Vienna, VA - $55.00 - $58.00/hr. 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. Applicants must be legally authorized to work in the United States. Sponsorship not available. Our client is seeking a Data Analyst (Pega) in Vienna, VA. Role Description 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 Skills & Requirements 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) Establishing baseline KPIs 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 Benefits/Other Compensation 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