Lead Strategic Partnership Data Analyst (Hybrid)

About the role

The Lead Strategic Partnership Data Analyst plays a crucial role in transforming data into actionable insights that drive business decisions. Reporting to the Senior Manager, Data Analytics, this role requires a deep understanding of statistical modeling and data visualization.

Responsibilities

• Conduct accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools.
• Collaborate with key stakeholders to define key financial and operational metrics to continuously monitor, track, and report performance.
• Collaborate with business partners in the development and delivery of key performance analysis and reporting.
• Build and maintain models used to project business results; enhance the model where there is business value in adjusting the models.
• Ensure analysis and reporting accuracy and integrity and explain performance drivers and provide insights into performance trends.
• Analyze and address data quality issues, test and analyze the impact of system changes to data/reporting infrastructure.
• Develop, test, and deploy automated reporting solutions and automated decision analytics to replace manual business processes.
• May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.

Requirements

• Big Query/SQL script writing experience required.
• Solid knowledge and understanding of forecasting techniques or statistical analysis.
• Demonstrated strong experience utilizing data tools such as R and Python to build complex formulas and create reports.
• Data visualization experience with BI tools such as Tableau.
• Knowledge of a variety of standard reporting software packages and best practices for report deployment processes.
• Demonstrated experience developing data sets.
• Demonstrated experience providing customer-driven solutions, support or service.
• Willingness and ability to travel up to 10%.

Specialized Knowledge & Skills

• Big Querry/SQL script writing experience required.
• Insurance product and pricing domain knowledge.
• Solid knowledge and understanding of forecasting techniques or statistical analysis.
• Demonstrated strong experience utilizing data tools such as R and Python to build complex formulas and create reports.
• Data visualization experience with BI tools such as Tableau.
• Knowledge of a variety of standard reporting software packages and best practices for report deployment processes.
• Demonstrated experience developing data sets.
• Demonstrated experience providing customer-driven solutions, support or service.
• Willingness and ability to travel up to 10%.

Benefits

Position compensation range: $111,000.00 - $189,000.00. Pay rate type: Salary. Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.