Position: Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target MappingLocation: Minnetonka, MN (Hybrid- 3 Days in-office). ONLY LOCAL CANDIDATES ACCEPTED. Duration: 8-12 MonthsReqd. 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.