Middle SOFTCONSTRUCT - People Analyst

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.

Requirements

• 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 (experience in Total Rewards or Performance is a plus)
• 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
• Exceptional attention to detail and a high standard for data accuracy
• Strong business acumen and capability to handle sensitive, confidential HR information with discretion