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Data Analyst Manager/Director

CliftonLarsonAllen

Salary not specified
Oct 24, 2025
Indianapolis, IN, US
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CLA is seeking an experienced Data Analyst Manager/Director to join their Digital team to lead the answering of business questions, creation of dashboards, and uncovering insights from internal and external data.

Requirements

  • Experience* using Microsoft applications including Excel (2016 and Power Query M and DAX languages), Power BI, Power Apps, Alteryx.
  • Experience* using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Specific experience in Health Care or Senior Living
  • Experience with Microsoft Fabric Engineering.

Responsibilities

  • Lead external and internal projects involving the collection and analysis of data using a variety of data tools.
  • Building and implementing of models, using/creating algorithms and creating/running simulations.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Collaborate with others on the Data Analytics team to develop custom data models and algorithms to apply to data sets.
  • Develop predictive analytics, machine learning, and artificial intelligence techniques.
  • Develop tools to monitor and analyze solution performance and accuracy, and communicate findings to team members.
  • Clean up data for analysis or visual display in a report or dashboard, and/or works out details regarding data access to support a project.

Other

  • Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities.
  • Take on lead roles with client situations to develop and enhance business skills.
  • Retain knowledge gained and performance feedback provided to transfer into future work.
  • Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.
  • Assist in developing and executing a Data Analytics/Data Science learning plan for varying levels of knowledge and experience.