Data Analyst Manager/Director
CLA (CliftonLarsonAllen)
full-time
Posted on:
Location Type: Hybrid
Location: Indianapolis • Massachusetts, Montana • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Python
About the role
- The Data Analyst Manager leads the answering of questions posed by the business, creating of dashboards, and/or doing detective work to uncover the secrets hidden in the piles of internal and external data we have access to.
- The Data Analyst Manager cleans up data for analysis or visual display in a report or dashboard, and/or works out details regarding data access to support a project.
- Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities.
- Lead external and internal projects involving the collection and analysis of data using a variety of data tools.
- Collaborate with others on the Data Analytics team to develop custom data models and algorithms to apply to data sets.
- Develop tools to monitor and analyze solution performance and accuracy, and communicate findings to team members.
Requirements
- Seven (7) + years of experience in data analytics, public accounting, financial consulting, computer science or related field.
- Bachelor’s degree in a field of Business, Accounting, Finance, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science).
- 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.
Benefits
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata cleaningdata visualizationdata modelingstatistical analysisdata manipulationalgorithm developmentperformance monitoringDAXPower Query
Soft skills
leadershipcollaborationcommunicationproblem-solvingself-studyproject management