
Human Resources Data Analyst
ELEKS
full-time
Posted on:
Location Type: Hybrid
Location: Lviv • Ukraine
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Tech Stack
About the role
- Quickly learn how ELEKS people data works today (existing ERP + Power BI)
- Ensure data accuracy, integrity, and readiness for Workday usage
- Compare Workday native reports with existing dashboards and identify gaps
- Build interim reports to ensure leadership visibility during the transition
- Use AI tools to speed up analysis, identify trends, and draft insights
- Help HR and business leaders understand what the data is telling them — in clear, simple language
Requirements
- Proven experience in HR analytics, People Analytics, or Data Analytics
- Hands‑on experience with HR dashboards, reports, and ad‑hoc analysis
- Experience working with HRIS systems; Workday experience is a strong advantage
- Advanced Excel skills
- Strong proficiency in Power BI (or similar BI tools)
- Ability to work with data from multiple systems and sources
- Understanding of HR metrics, benchmarks, and data models
- Practical experience using AI tools for data analysis and insights generation
- Strong analytical mindset with the ability to quickly understand complex HR data contexts
- Ability to cleanse, structure, and validate large and diverse data sets
- Strong storytelling skills — ability to explain the story behind the data
- Excellent communication and presentation skills, including working with senior stakeholders
- Ability to manage multiple priorities in a fast‑paced, transformation environment
Benefits
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Team of professionals
- Dynamic environment with low level of bureaucracy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
HR analyticsPeople AnalyticsData AnalyticsHR dashboardsad-hoc analysisHRIS systemsWorkdayExcelPower BIAI tools
Soft Skills
analytical mindsetstorytelling skillscommunication skillspresentation skillsability to manage prioritiesunderstanding complex datadata cleansingdata structuringdata validationleadership visibility