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Data Analyst

Company:
Digital Health Links
Location:
Clinton Township, OH, 43224
Posted:
October 21, 2026
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Description:

Job: Senior Data Analyst

Engagement Type: Contract

Work Mode: Onsite Position

Location: Columbus, Ohio

Complete Description

· Team expansion into AWS, Snowflake, and advanced Python development requires additional specialized technical expertise.

· Projects involving cloud architecture, analytical engineering, data modeling, and AI/ML demand skills to be executed successfully.

· A specialist is critical to maintaining project timelines and ensuring delivery of scalable, modern data solutions.

· Role will support the design and creation of logical and physical data models aligned with complex business and technical needs.

· Position will produce analytical models that enhance reporting, decision-making, and overall data-driven insights across the organization.

· Collaboration across business units, application teams, DBAs, and leadership requires an experienced technical resource to develop high-quality analytical solutions.

· The specialist will help business units improve their ability to serve taxpayers through improved data solutions and insights.

· Staying current with emerging analytics and database technologies is essential; this role will lead to evaluation and testing of new tools for possible adoption.

· Position strengthens the department’s capability to support continued modernization efforts and long-term data strategy.

Required/Desired Skills

· Bachelor’s degree or equivalent work experience in Information Technology, Computer Science, or a related field.

· Highly skilled in data analysis software and statistical analysis software (e.g., SAS, SPSS, IOP suite).

· Highly skilled in business intelligence (BI) and data visualization tools (e.g., Tableau, Power BI, Cognos).

· Highly skilled in coding and reporting (e.g., Python, R, SQL).

· Highly skilled in data preparation and transformation, machine learning, predictive and prescriptive analytics tools (e.g., Alteryx).

· Highly skilled in SQL and Extract, Transform, and Load (ETL).

· Experience with Snowflake.

· Experience with Streamlit.

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