Lead 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. The Lead Advanced Analytics role is responsible for designing, developing, and maintaining advanced analytics and reporting and data solutions that support Compensation. This individual will play a critical role in building scalable data and automation solutions, ensuring data accuracy, and delivering actionable insights to business stakeholders. This role supports the end-to-end Quota Tool process on the Consumer Technology Team for Sales Compensation, Automation & Analytics. Having a strong background in Agile development is a must in continuing to create a culture of being fast, accountable and results oriented. Having vast knowledge in our applications that serve as our Commission, Hierarchy, Billers, and Point of sale systems will be a value add for our processes and tools.
Requirements
- 5+ years of related experience.
- Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
- Well-versed with Relational (Ex- SQL Server, Oracle) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake).
- Experience with data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc.
- Experience with tools such as Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
- Experience with big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks).
- Experience with predictive models (Ex- Linear/Logistic Regression, Time Series).
- Strong background in Agile development.
- Office presence of a minimum of 5 days per week.
Nice To Haves
- Vast knowledge in our applications that serve as our Commission, Hierarchy, Billers, and Point of sale systems will be a value add for our processes and tools.
- Certification is required in some areas.
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
Senior
