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Data Analyst – Data Modeler / Data Engineer (ETL)

Hybrid in Minnetonka, MN, US • Posted 19 hours ago • Updated 19 hours ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Analytics
Data Engineering
Scripting
Data Analysis
ETL
Python
R
TensorFlow
PyTorch
Oracle
PL/SQL
SQL
IDMC

Summary

Job Title: Data Analyst – Data Modeler / Data Engineer (ETL)

Location: Minnetonka, MN (Hybrid – 3 days onsite)
Duration: 8–12 Months Contract
Start: ASAP

⚠️ Only LOCAL candidates will be considered. No relocation.

Job Description

We are seeking an experienced Data Analyst / Data Modeler / Data Engineer with strong ETL and Informatica expertise to support enterprise analytics in a Healthcare Insurance environment. This role combines data engineering, modeling, and analytics responsibilities, with a focus on source‑to‑target mapping, data quality, and cloud-enabled data solutions.

Required Skills

Data Engineering
ETL Development using Informatica PowerCenter
SQL and Oracle PL/SQL
Data Modeling & Source‑to‑Target Mapping
Data Analysis
Healthcare Insurance domain experience

Preferred Skills

Snowflake, Azure, or Kafka
Informatica IDMC
Python or R
Power BI, Tableau, or Excel
AI / Machine Learning tools (TensorFlow, Azure ML, scikit‑learn, PyTorch)

Key Responsibilities

Design and implement scalable data pipelines and data storage solutions
Ensure data quality, integrity, security, and governance across the data lifecycle
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Develop, optimize, and maintain ETL processes using Informatica PowerCenter and IDMC
Create and manage complex SQL and Oracle PL/SQL scripts for data transformation and reporting
Monitor and optimize ETL and data system performance
Support deployment and maintenance of cloud-based data infrastructure

Data Analysis & BI Responsibilities

Perform exploratory data analysis (EDA) and produce actionable insights
Build dashboards and visualizations using Power BI, Tableau, or Excel
Support business intelligence initiatives
Automate data workflows using Python or R
Translate data findings into business recommendations
Document data processes and contribute to data governance standards

Advanced Analytics (Preferred)

Apply AI and Machine Learning techniques for predictive analytics
Build and deploy models using:
- TensorFlow
- Azure Machine Learning
- scikit‑learn
- PyTorch

Additional Notes

Hybrid role: 3 days onsite per week
Local Minnetonka, MN candidates only

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172818
Position Id: 8951079
Posted 19 hours ago

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