
HR Analyst
3 hours ago
About the Role
We are seeking a highly analytical and technically skilled HR Analyst to transform people data into actionable insights. The ideal candidate will be well-versed in automation, data management, and visualization tools, enabling HR teams to make strategic, data-driven decisions. You will work closely with HR and business leaders to build automated dashboards, predictive models, and process optimization workflows.
Key Responsibilities
- • Aggregate, clean, and analyze HR data from multiple sources including HRIS, ATS, payroll, and engagement systems.
- • Develop automation scripts and data pipelines using Python, SQL, or RPA tools (UiPath, Power Automate, etc.).
- • Build and maintain dashboards using Power BI, Tableau, or Google Data Studio for HR KPIs like attrition, hiring, productivity, and diversity.
- • Create predictive models to identify flight risk employees, hiring efficiency, and workforce trends.
- • Perform statistical analysis (correlation, regression, clustering) to interpret workforce data.
- • Collaborate with HR and business stakeholders to define metrics, design reports, and present insights.
- • Support compensation benchmarking, workforce planning, and headcount forecasting with data models.
- • Ensure data quality, governance, compliance, and security in all HR systems and reports.
- • Automate recurring reports using Excel macros, VBA, or Power Query to improve process efficiency.
- • Prepare executive summaries and presentations for senior leadership with actionable insights.
Technical Skills
- • Advanced Excel (Pivot Tables, Power Query, Macros, VBA)
- • SQL for data extraction, joins, and transformation
- • Python or R for automation, data analysis, and visualization
- • Data visualization tools Power BI, Tableau, Looker, or similar
- • HRIS platforms – SAP SuccessFactors, Workday, Oracle HCM, Darwinbox, BambooHR
- • ETL / Data pipeline tools (Alteryx, Airflow, Talend, or similar)
- • Automation tools (UiPath, Power Automate, Zapier, or custom Python scripts)
- • Google Sheets API / Excel API for real-time reporting automation
- • Statistical techniques (Regression, Forecasting, Clustering, Hypothesis Testing)
- • Familiarity with APIs and JSON for integrating HR data sources
Qualifications
- • Bachelor's degree in HR, Data Analytics, Computer Science, Statistics, or related field.
- • 2–5 years of experience in HR analytics, HR operations, or people analytics roles.
- • Strong logical reasoning, problem-solving, and storytelling abilities.
- • Excellent written and verbal communication skills for presenting insights to leadership.
- • High attention to detail, accuracy, and data integrity.
Preferred
- • Experience with predictive modeling and machine learning in HR use cases.
- • Knowledge of data warehouses and SQL-based BI environments (Snowflake, Redshift, BigQuery).
- • Hands-on experience in scripting automation for HR workflows.
- • Certification in HR Analytics, Data Science, or similar programs.
- • Experience working in high-growth or digital transformation environments.
Why Join Us
- Build end-to-end people analytics systems from scratch.
• Direct exposure to business strategy and leadership decision-making.
• Freedom to innovate with automation and data-driven HR.
• Collaborative work culture focused on continuous learning and experimentation.
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