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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. xywuqvp Experience integrating data from insurance or financial systems.
Sprachkenntnisse
- English
Hinweis für Nutzer
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