Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping

Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping

Location: Minnetonka, MN (Hybrid- 3 Days in-office). ONLY LOCAL CANDIDATES ACCEPTED.

Duration: 8-12 Months

Reqd. Skills:

• Data Engineering
• ETL-Informatica
• SQL/Oracle PL-SQL
• Informatica PowerCenter
• Data Modeling
• Data Analysis
• Snowflake or Azure or Kafka – Preferred
• Healthcare Insurance

Key Accountabilities:

• Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics.
• Ensuring data quality, integrity, and security across all stages of the data lifecycle.
• Collaborating with stakeholders to define data requirements and translate them into technical specifications.
• Monitoring and optimizing performance of data systems and ETL processes.
• Supporting the deployment and maintenance of data infrastructure in cloud environments.
• Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting.
• Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows.

In addition to engineering responsibilities, the Data Generalist component of this role includes:

• Performing exploratory data analysis and generating actionable insights.
• Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
• Collaborating with cross-functional teams to align data efforts with business goals.
• Automating data workflows using scripting languages such as Python or R.
• Supporting business intelligence initiatives and translating data into strategic recommendations.
• Documenting data processes and contributing to data governance standards.
• Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets.
• Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.