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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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