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Connexus Credit Union

HR Data Analyst

Connexus Credit Union

. Partner with HR and business leaders to turn workforce data into insights that inform decisions and improve the employee experience.

Posted 11/7/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in HR Analytics and Business Intelligence, with a strong focus on data visualization, KPI development, and advanced analytical techniques to drive workforce insights and improve employee experience. Proven ability to collaborate with stakeholders and present actionable recommendations based on complex data analyses.

Highest-signal resume keywords
HR AnalyticsData VisualizationKPI DevelopmentAdvanced Analytical TechniquesWorkday

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisPredictive ModelingData CleansingData IntegrationDashboard DevelopmentStatistical MethodsAutomated ReportingEmployee Lifecycle MetricsWorkforce Trends AnalysisComplex Dataset Management
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunicationStorytelling
Tools & Technologies
Power BIMicrosoft ExcelHR DashboardsReporting ToolsData Management Solutions
Industry Keywords
Employee EngagementTalent AcquisitionRetention StrategiesLearning and DevelopmentTotal Rewards

About the role

Key responsibilities & impact
  • Partner with HR and business leaders to turn workforce data into insights that inform decisions and improve the employee experience.
  • Build and maintain dashboards, reports, and analytics covering key workforce trends and metrics.
  • Evaluate data across the employee lifecycle, identify improvement opportunities, and share recommendations supporting organizational goals.
  • Lead development, maintenance, and optimization of HR dashboards, scorecards, and automated reporting solutions.
  • Design, implement, and monitor KPIs related to talent acquisition, employee engagement, retention, learning and development, total rewards, and HR operations.
  • Develop data visualizations and reporting tools for technical and non-technical audiences.
  • Conduct complex workforce data analyses to identify trends, patterns, risks, and opportunities.
  • Apply advanced analytical techniques, statistical methods, and predictive modeling to HR business challenges.
  • Translate ambiguous business questions into structured analytical approaches and actionable recommendations.
  • Research workforce trends, labor market conditions, and industry benchmarks.
  • Measure employee sentiment, engagement, and experience through surveys, listening strategies, and feedback mechanisms.
  • Analyze employee lifecycle metrics and evaluate employee programs, initiatives, and organizational strategies.
  • Collaborate with HR, business leaders, Finance, and other stakeholders to define needs and analytical priorities.
  • Present findings, trends, and recommendations through storytelling, visualizations, and executive-level presentations.
  • Serve as a trusted advisor and subject matter expert on workforce data, analytics methodologies, and KPI development.
  • Ensure HR data integrity, accuracy, and consistency through validation, auditing, and quality assurance.
  • Automate reporting, streamline workflows, improve data management, and maintain compliance with applicable laws, regulations, privacy standards, and organizational policies.

Requirements

What you’ll need
  • Bachelor’s degree in Human Resources, Business Analytics, Statistics, Data Science, Information Systems, or a related field is Required.
  • 5+ years of experience in HR analytics, people analytics, business intelligence, or a related analytical role is Required.
  • Advanced proficiency in Workday, Power BI, Microsoft Excel, or other data visualization and reporting tools is Required.
  • Demonstrated experience building dashboards, developing KPIs, and automating reporting processes is Required.
  • Strong analytical and problem-solving skills, including the ability to interpret complex data and translate insights into business recommendation is Required.
  • Experience working with large, complex datasets, including data cleansing, validation, integration, and modeling is Required.

Benefits

Comp & perks
  • 25 days of paid time off and 10 paid holidays
  • 16 hours of paid Volunteer Time Off
  • 401K Retirement with up to 6% employer match
  • Excellent Health, Dental, Vision insurance, including multiple plan options
  • Health Savings Account with generous employer contributions
  • Employer paid Life insurance, Short-Term and Long-Term Disability
  • Tuition Reimbursement from $4,000 - $7,000 per calendar year
  • Robust Learning and Development program that includes an annual professional development stipend