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ESSENTIAL DUTIES AND RESPONSIBILITIES
· Data Engineering & Integration
o Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools.
o Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud).
o Optimize and monitor data workflows for reliability, performance, and cost efficiency.
o Implement and maintain data quality, validation, and error-handling frameworks.
· Data Analysis & Reporting
o Develop and maintain reporting databases, views, and semantic models for business intelligence solutions.
o Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs.
o Perform ad-hoc data exploration and statistical analysis to support business initiatives.
· Collaboration & Governance
o Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements.
o Maintain data integrity, enforce governance standards, and promote best practices in data stewardship.
o Support data security and compliance initiatives in coordination with IT and business teams.
· Continuous Improvement
o Stay current with emerging data technologies and analytics practices.
o Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery.
QUALIFICATIONS
Required:
· Strong SQL development skills and experience with Microsoft SQL Server and Azure SQL Database.
· Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools.
· Proficiency in building BI solutions using Power BI and/or SSRS.
· Strong data modeling and relational database design skills.
· Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections).
· Ability to translate business goals into data requirements and technical solutions.
· Excellent communication and collaboration skills.
· Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
Preferred:
· Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks).
· Familiarity with version control tools (Git, Azure DevOps) and Agile development practices.
· Exposure to Python or PowerShell for data transformation or automation.
· Experience integrating data from insurance or financial systems.
