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Business Data Analyst - Application Rationalization

Vaco Technology
Jackson, MI Full Time
POSTED ON 3/13/2025 CLOSED ON 4/13/2025

What are the responsibilities and job description for the Business Data Analyst - Application Rationalization position at Vaco Technology?

Job Details




About the Role:
We are seeking a motivated and experienced Business Data Analyst to join our team and support our Application Rationalization efforts. This role will focus on evaluating a large portfolio of over 6000 applications, providing data-driven insights, and supporting critical decision-making processes. If you have a strong analytical mindset, excel at data structuring, and thrive in a fast-paced, collaborative environment, we want to hear from you.
Key Responsibilities:

  • Lead and support the application rationalization process for a portfolio of over 6000 enterprise applications.

  • Evaluate and analyze data to assess the total usage, performance, and efficiencies of existing enterprise applications.

  • Provide data-driven recommendations on which applications should be decommissioned and which ones should be retained or optimized for future use.

  • Structure complex data findings into clear, consumable formats (e.g., reports, dashboards) that aid in accurate and informed decision-making.

  • Collaborate with cross-functional teams to optimize workflows and divide responsibilities to ensure the efficient execution of the overall application rationalization initiative.

  • Develop and maintain detailed reports on application usage, performance trends, and actionable insights.

  • Utilize data visualization and other tools to help stakeholders easily consume and interpret analytical findings.


Qualifications & Skills:

  • 6 years of experience as a Business Analyst or Data Analyst in an Information Technology (IT) environment.

  • Proven ability to analyze large datasets, identify patterns, and draw actionable conclusions to support business decisions.

  • Strong Microsoft Excel skills, including advanced functions and data analysis techniques.

  • Experience in application rationalization or similar large-scale data-driven projects is highly preferred.

  • Ability to work independently, take initiative, and solve problems in a fast-paced environment.

  • Excellent collaboration and communication skills, with the ability to work effectively both autonomously and as part of a team.

  • A go-getter mentality with a resourceful, results-oriented approach to tackling complex tasks.

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.
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