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ESSENTIAL DUTIES AND RESPONSIBILITIES

· Data Engineering & Integration

• Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools.
• Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud).
• Optimize and monitor data workflows for reliability, performance, and cost efficiency.
• Implement and maintain data quality, validation, and error-handling frameworks.

· Data Analysis & Reporting

• Develop and maintain reporting databases, views, and semantic models for business intelligence solutions.
• Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs.
• Perform ad-hoc data exploration and statistical analysis to support business initiatives.

· Collaboration & Governance

• Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements.
• Maintain data integrity, enforce governance standards, and promote best practices in data stewardship.
• Support data security and compliance initiatives in coordination with IT and business teams.

· Continuous Improvement

• Stay current with emerging data technologies and analytics practices.
• 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.

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