Business Analytics Advisor (Model Implementation) - Hybrid

About the Role

Key Responsibilities

• Serve as a key Subject Matter Expert (SME) for data within the reporting and analytics environment, with direct responsibility for leading modeling efforts from a data perspective.
• Act as the primary liaison and lead developer for all productionalized modeling implementations.
• Lead the development of the overall architecture and infrastructure required for model production, including new data sourcing, code deployment, table and view creation, post-model monitoring, and business delivery of modeling outputs.
• Develop and deliver complex analytics and reporting projects and solutions.
• Integrate and analyze data from multiple sources to create and support data assets for Business Intelligence (BI) and analytical consumption.
• Utilize strong programming skills to explore, examine, and interpret large volumes of data in various forms.
• Collaborate with cross-functional teams within the Sales and Provider Analytics organization and the Enterprise to deliver repeatable and high-quality data assets that enable our business partners.
• Ensure code is well-documented and can be understood by other analysts.
• Ensure that the analytic approach and results are clearly communicated and understood by business partners.
• Demonstrate a comprehensive understanding of data and leverage it appropriately, ensuring the use of correct sources, clear assumptions, and business approval.

Requirements

• Proven experience as a data SME in a reporting and analytics environment.
• Strong expertise in leading modeling efforts from a data perspective.
• Extensive experience in developing and implementing productionalized models.
• Proficiency in developing architecture and infrastructure for model production, including data sourcing, code deployment, and post-model monitoring.
• Demonstrated ability to deliver complex analytics and reporting projects.
• Experience in integrating and analyzing data from multiple sources for BI and analytical purposes.
• Strong programming skills with the ability to explore, examine, and interpret large data sets.
• Proven ability to develop analytic solutions tailored to business needs.
• Experience working with cross-functional teams to deliver high-quality data assets.
• Excellent documentation skills, ensuring code is understandable by other analysts.
• Strong technical skills in data extraction, transformation and tool development.
• Expertise in SQL, Python, Mac OS/Linux.

Nice to Have

• Experience with Statistics and Modeling techniques.
• Experience with AWS and Databricks.

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Comprehensive range of health-related benefits including medical, vision, dental, and well-being and behavioral health programs.
• 401(k) with company match.
• Company paid life insurance.
• Tuition reimbursement.
• A minimum of 18 days of paid time off per year and paid holidays.
• Flexible work arrangements with occasional or permanent work from home, requiring internet connection of at least 10Mbps download/5Mbps upload.