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

Georgia IT Inc.

Minnetonka, MN

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Business Intelligence, Business Support, Cloud Computing, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Quality, Data Sets, Data Storage, Database Extract Transform and Load (ETL), Documentation, Health Insurance, Informatica, Machine Learning, Microsoft Windows Azure, Oracle Database, Oracle PL-SQL, Performance Analysis, Performance Tuning/Optimization, Power BI, Predictive Modeling, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scripting (Scripting Languages), Stored Procedures, Tableau
LOCATION
Minnetonka, MN
POSTED
30+ days ago
Position: 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.

About the Company

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Georgia IT Inc.