Quick Overview
Job 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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