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Talent Worx

11 months ago

HR Analyst / HR Analytics Specialist

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Company information

Company
Talent Worx
Location
India India
Posted
11 months ago
View all jobs at Talent Worx

Job description

Key Responsibilities:

• Collect, organize, and analyze HR data across systems (HRIS, ATS, performance management, etc.)

• Design and maintain dashboards for key HR metrics — headcount, attrition, hiring efficiency, engagement, and compensation.

• Generate monthly and quarterly HR reports for leadership and business partners.

• Provide insights on workforce trends and predictive analytics to support strategic HR initiatives.

• Collaborate with Talent Acquisition, Learning & Development, and Operations teams for analytics-driven decision-making.

• Ensure data accuracy, integrity, and compliance with privacy standards.

• Support automation of HR reporting processes using tools like Power BI, Tableau, or Excel.

• Participate in HR projects involving AI tools, predictive hiring, and talent analytics.

• Raise invoices and follow up with the client, Maintain invoicing and payment dashboards basis various parameters like montly, client wise, Director wise etc

• Offer dash board, and recruitment reporting with excel and monthly revenue and offer dashboards

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Key Metrics / KPIs:

• Time-to-fill and cost-per-hire improvement

• Attrition rate and retention trends

• Employee engagement index tracking

• Predictive hiring model accuracy

• HR dashboard adoption rate across teams

Requirements

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Human Resources, Data Analytics, Statistics, or related field.

• 2–5 years of experience in HR analytics, people analytics, or workforce planning.

• Strong knowledge of Excel, SQL, and data visualization tools (Power BI / Tableau).

• Understanding of HR metrics and business KPIs.

• Experience with HRIS, ATS, or similar HR data systems.

• Excellent analytical, communication, and presentation skills.

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Preferred Skills:

• Experience with AI-based HR tools or predictive analytics platforms.

• Exposure to R, Python, or advanced Excel modeling for HR data.

• Certification in HR Analytics or Data Analytics.

Required skills

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