Senior HR Data Analyst - Remote Automation & Dashboards

CAI

United States

Remote

USD 96,000 - 106,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401k retirement account access
Paid sick leave and/or other paid time

Job summary

CAI seeks a Senior HR Data Analyst (contract, remote) to support complex HR reporting, data analytics, dashboard development, and reporting automation. The role emphasizes replacing manual processes with data-driven solutions to improve efficiency, accuracy, and sustainability.

Key duties include maintaining and transforming HR reports, building dashboards in Power BI, and leveraging AI and automation to reduce time and complexity.

Qualifications

  • Bachelor’s degree in Data Analytics, Business Analytics, Data Science, Information Systems/MIS, Statistics, or another quantitative discipline
  • 8+ years of related professional experience in data analytics, advanced reporting, reporting automation, and process improvement
  • Advanced Microsoft Excel proficiency, including advanced formulas, pivot tables, macros, conditional formatting, data manipulation, and tools for analyzing and automating complex reporting
  • Experience developing dashboards, metrics, and data visualizations using Power BI, Excel, or similar tools
  • Experience using AI, automation tools, or other emerging technologies to improve data analysis, reporting, or business processes
  • Demonstrated ability to simplify and automate manual reporting processes to improve efficiency, accuracy, and sustainability
  • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights for business leaders
  • Experience working with complex datasets and reporting processes
  • Attention to detail and a commitment to data accuracy and integrity
  • Ability to understand complex workflows and produce clear, detailed process documentation and step-by-step instructions
  • Ability to work independently in a project-based environment, manage multiple priorities, and proactively implement solutions

Responsibilities

  • Maintain existing HR reporting and analyze, manipulate, and format complex datasets using advanced Microsoft Excel features, including formulas, pivot tables, macros, conditional formatting, filters, and related tools
  • Transform and optimize Excel-based reporting workflows by identifying opportunities to simplify and automate manual processes
  • Apply advanced Excel capabilities, AI, automation tools, and emerging technologies to reduce manual effort, reporting complexity, and report production time
  • Build dashboards, metrics, and data visualizations to give business leaders visibility into trends and key insights
  • Use Power BI, Excel, and other reporting and visualization tools to convert complex information into clear, understandable outputs
  • Identify opportunities to improve the efficiency, accuracy, and sustainability of current reporting and business processes
  • Create and keep process documentation that explains existing reporting workflows and step-by-step procedures
  • Update documentation as workflows are optimized and automated to maintain accurate, standardized, and sustainable operations
  • Work independently in a project-based environment, manage multiple priorities, and proactively identify and implement solutions

Skills

Advanced Excel
Power BI
AI
Macros
Pivot tables
Conditional formatting
Data manipulation

Education

Bachelor's degree in Data Analytics/Business Analytics/Data Science or quantitative field

Tools

Microsoft Excel
Power BI
AI tools

Job description

CAI seeks a Senior HR Data Analyst (contract, remote) to support complex HR reporting, data analytics, dashboard development, and reporting automation. The role emphasizes replacing manual processes with data-driven solutions to improve efficiency, accuracy, and sustainability.

Key duties include maintaining and transforming HR reports, building dashboards in Power BI, and leveraging AI and automation to reduce time and complexity.

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