Principal Advanced Analytics
About The Position
Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance. An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues. Performs very complex advanced analytics work, creates new ways of analyzing data, builds very complex business models, and makes recommendations that impact an entire business unit or very large complex sector.
Requirements
- Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
- 7+ years of related experience.
- Certification is required in some areas.
- Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake).
- Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
- Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
- Ex- Tableau, Power BI AI Insights, Databricks for modeling and process integration.
- Ex- Linear/Logistic Regression, Time Series.
Responsibilities
- Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
- Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making.
- Develop business cases and create complex models utilizing big data analytics tools for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc.
- Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios.
- Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions.
- Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.
Benefits
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
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What This Job Offers
Job Type
Full-time
Career Level
Principal
