Data Analytics & Automation Manager - Strategic Impact

CFS

Orlando (FL)

On-site

USD 115,000 - 130,000

Full time

5 days ago
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Job summary

CFS in Orlando, FL is seeking a Manager of Data Analytics & Automation to establish analytics and automation capabilities across accounting, audit, risk, and operational processes. You will combine technical expertise with business problem-solving and collaborate with leaders across departments to identify improvement opportunities.

You will evaluate processes, design dashboards and automated workflows, analyze complex datasets for trends and risks, and translate business requirements into

Qualifications

  • 5-8 years of experience in analytics, business intelligence, automation, AI, or data-focused roles.
  • Experience with tools such as SQL, Python, Power BI, Alteryx, or similar technologies
  • Understanding of accounting, audit, risk, controls, or business process environments
  • Bachelor's degree in Data Analytics, Information Systems, Accounting, Finance, or a related field

Responsibilities

  • Evaluate business processes and identify opportunities for automation and analytics-driven improvements
  • Design and implement dashboards, automated workflows, and monitoring solutions
  • Analyze complex datasets to uncover trends, anomalies, risks, and operational insights
  • Translate business requirements into scalable technical solutions
  • Partner with accounting, audit, technology, and operational teams to implement process improvements

Skills

SQL
Python
Power BI
Alteryx

Education

Bachelor's degree in Data Analytics, Information Systems, Accounting, Finance, or a related field

Tools

SQL

Job description

CFS in Orlando, FL is seeking a Manager of Data Analytics & Automation to establish analytics and automation capabilities across accounting, audit, risk, and operational processes. You will combine technical expertise with business problem-solving and collaborate with leaders across departments to identify improvement opportunities.

You will evaluate processes, design dashboards and automated workflows, analyze complex datasets for trends and risks, and translate business requirements into

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