Actuarial Data Analyst

About the role

The Core Specialty Data Analytics Team is looking for a Data Analyst to support all lines of business during an exciting time of growth.

Responsibilities

• Execute analysis on data to identify and correct data issues.
• Extract data from various sources and transform it to perform analysis and create actionable visualizations.
• Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.
• Act as a key contributor in resolving complex or expedited requests, taking end-to-end ownership to provide solutions.
• Listen to, understand, and break down questions into manageable tasks.
• Use a variety of applications and technologies to answer simple and complex questions.
• Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, and Programs as needed.
• Uncover patterns in data and visuals, researching trends and outliers that may be actionable.
• Convert raw data into usable and visualized representations that convey understanding or enable accurate execution of needed actions.

Qualifications

• Bachelor’s degree in an analytical or related field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science, or similar.
• 1-3 years of experience in a professional environment working with data and analytics.
• Functional knowledge, aptitude, and understanding of basic data/analytics principles: one-to-many relationships, many-to-many relationships, reuse and linkage, data quality, validation, data modeling, and more.

Skills

• Intellectual curiosity: Seeking to understand the "whys" of data and uncovering patterns others might overlook.
• Openness to grow and change: Agility and willingness to learn new techniques and tools as the company’s data environment evolves.
• Candor: Openness to providing and receiving constructive feedback to facilitate individual and team development.
• Communication skills: Ability to ask questions, collaborate across teams, and influence key stakeholders.
• Experience with or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases, and other relational data containers.
• Experience and/or aptitude in a Microsoft Fabric environment and its toolset: Python, PySpark, SQL, Dataflow Gen2, Pipelines, Apache Spark jobs, OneLake, Power BI, Data agents, and prompt engineering.

Pay

The expected pay range for this role is $70,000 - $75,000. The specific offer will depend on an applicant’s skills and experiences and may be adjusted for geographic differential.

Applicants must be authorized to work for any employer in the U.S. Sponsorship for work authorization is not available for this position.

Benefits

• Medical, dental, vision, and life insurance.
• Short- and long-term disability coverage.
• 401(k) plan with a 100% company match on a 6% contribution.
• Employee Assistance Plan (EAP).
• Health Savings Account (HSA), Flexible Spending Account (FSA), and Health Reimbursement Account (HRA).
• Wellness program.