About this role
The BI Analyst partners with Actuaries to identify reporting priorities driven by actuarial models. In this role, you will leverage business intelligence and analytical expertise to develop new reports and enhance existing reporting solutions.
Job Responsibilities
Collaborate with actuarial teams to design and deliver actionable reporting solutionsDevelop and enhance reports using Power BI and Microsoft Power Platform tools for data analysis and visualization, and maintain comprehensive semantic models within Power BIBuild, configure, and maintain automated testing workflows within cloud environmentsCreate and maintain scalable CI/CD pipelines for reporting solutions, leveraging Git-based workflowsPerform regular validation of report outputs in partnership with QA teamsProduce and maintain clear documentation for internal use and UATPartner with data engineering teams to improve reporting data models and architectureCollaborate with cross-functional stakeholders; implement reporting standards and align practices with governance and compliance requirements in partnership with IT teams
2+ years of experience developing reports in Power BI5+ years of experience building reports and dashboards using visualization tools (e.g., Power BI, QlikView, Tableau)Experience supporting analytics or actuarial functions, preferably within an insurance environmentAbility to independently troubleshoot and resolve technical challengesStrong analytical thinking and problem-solving capabilitiesCommitment to continuous learning and exploration of emerging tools and technologiesAbility to leverage data to drive business insights and decision-makingFamiliarity with SQL, Snowflake, or Python is a plusFamiliarity with Streamlit or Sigma is a plusTechnical Skills
Required
Power BI report developing
DAX Language
Power Automate
Power App
Microsoft Office Products
(MS Teams, Outlook, Word, PowerPoint, etc.)
Optional
User request gathering
UI/UX and Wireframing
Power Query
Git/GitHub
Databases (SQL Server, Snowflake)
Microsoft Excel
Python for Data Analytics
Education:
Bachelor’s degree in statistics, mathematics, information technology, computer science, business analytics, data analytics, or equivalent work experience