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Responsibilities
- Partner with business teams to consult, define, build, and implement the right performance metrics, reports, and dashboards to manage the business unit effectively.
- Distill and interpret data in spreadsheets and workbooks to identify trends, research anomalies, and make necessary recommendations and corrections.
- Contribute to strategic planning processes and recommend process improvement initiatives, influencing the direction of the claim organization.
- Support data needs related to business cadence, such as weekly, monthly, and quarterly business reviews.
- Enable effective decision-making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
- Conduct ad-hoc analysis projects across multiple systems, answering complex business questions and providing actionable insights to the leadership team to inform decisions and strategy.
- Partner and collaborate with other Business Analysts on best practices, prioritizations, data management, and reporting roadmaps.
- Qualifications
- Bachelor's degree in business, engineering, statistics, computer science, data management, mathematics, or a related field is preferred. I may consider the equivalent experience instead of a degree.
- Minimum of five years of experience in a business analyst, data analyst, or statistical analyst role.
- Prior experience writing and optimizing SQL to handle massive datasets is required.
- Demonstrate understanding of data warehousing and data modeling.
- Direct experience with multiple data visualization tools, including Cognos, S.A.S., and Power B.I., is required.
- Experience building business forecasting models is desired.
- We have proven problem-solving, project management, attention to detail, ability to influence others, and exceptional organizational skills.
- Demonstrate self-motivation and drive to remain focused on goals and objectives to improve overall business performance and outcomes.
- Excellent verbal and written communication and interpersonal skills.
- Ability to effectively communicate with both business and technical teams.
- Ability to work collaboratively with non-technical customers and team members and translate business questions into analytical requirements.