Overview

SoftConstruct is on a search for a new player to join our team.

Responsibilities:
  • Collect, clean, and analyze HR data related to compensation, benefits, performance evaluations, employee retention, and headcount planning.
  • Conduct external market benchmarking, and total rewards pay-gap analyses to ensure competitive and fair compensation structures.
  • Conduct and support annual performance management cycles and incentive calculation processes through accurate data modeling.
  • Design, build, and maintain interactive dashboards and report suites in Power BI for executive leadership and HR stakeholders.
  • Establish key performance indicators (KPIs) and track metrics related to performance distributions, reward allocation, and salary band penetration.
  • Working with the Workday HR system on report generation.
  • Build and maintain robust financial and compensation models using advanced MS Office formulas and functions.
  • Ensure data integrity, accuracy, and confidentiality across all Total Rewards databases and HRIS platforms.
  • Automate recurring HR reporting workflows to drive operational efficiency.
  • Partner closely with HR Business Partners, Payroll, and Finance teams to align reward and performance data with broader organizational goals.
  • Present complex analytical findings clearly to non-technical stakeholders to guide strategic decisions.
  • Carry out other duties assigned by the immediate supervisor, which are in line with the job description and do not contradict the labor code.
Required Qualifications:
  • Bachelor’s degree in Human Resources, Data Analytics, Business Administration, Finance, Statistics, or a related field
  • At least 2 years of hands-on experience in HR analytics, compensation analysis, or business data analysis
  • Strong proficiency in creating custom dashboards, data modeling, DAX expressions, and data visualization best practices
  • Demonstrated ability to work with large datasets, perform statistical analyses, identify trends, and draw clear conclusions
  • Master level proficiency in complex formulas (e.g., XLOOKUP/VLOOKUP, INDEX/MATCH, SUMIFS, nested logic statements), Pivot Tables, conditional formatting, and data validation routines
  • Exceptional attention to detail and a high standard for data accuracy
  • Strong business acumen and capability to handle sensitive, confidential HR information with discretion
  • Excellent written and verbal communication skills to explain technical data insights clearly
  • Good knowledge of English and Russian languages
Nice To Have:
  • experience in Total Rewards or Performance is a plus
Technologies:
  • Power BI
  • Workday
  • MS Office
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