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HR Data Analyst | Bangalore


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 6 October 2026 (2 days ago)
Application Deadline: 3 January 2027
Vacancies: 1 Vacancy

Job Summary

TA Data Analyst
Role Overview

The TA Data Analyst will be responsible for collecting managing analysing and interpreting talent acquisition and workforce-related data from multiple sources including ATS HRIS Excel trackers surveys and other relevant systems.

The role will enable the Talent Acquisition team to make informed data-driven decisions that improve hiring effectiveness workforce efficiency and new-hire experience. Beyond reporting and data management the TA Data Analyst will identify trends patterns and potential risks translating data into actionable insights and recommendations for continuous improvement.

Key Responsibilities
  • Gather and consolidate Talent Acquisition and new-hire data from multiple sources including ATS/HRIS platforms employee surveys Excel trackers and other relevant systems.
  • Clean structure transform and validate datasets to ensure data accuracy consistency completeness and integrity.
  • Analyse TA/HR data to identify trends patterns correlations and meaningful insights across key metrics and performance indicators.
  • Design develop and maintain TA/HR dashboards reports and data visualizations to provide stakeholders with clear and actionable insights.
  • Perform statistical analysis and predictive modelling to support talent initiatives identify potential risks and uncover opportunities for improvement.
  • Translate data into business-oriented insights and recommendations supporting strategic decision-making and the effective execution of TA/HR initiatives.
  • Regularly monitor datasets for anomalies outliers and data-quality issues investigate discrepancies and implement corrective measures.
  • Analyse and track vendor performance including maintaining vendor-related data validating monthly invoices and supporting the invoicing and payment process.
  • Ensure appropriate data privacy confidentiality and information-security standards are followed while handling sensitive employee and candidate information.
  • Partner with IT HR technology teams and external vendors to improve HR data management systems data accessibility reporting capabilities and overall data quality.
  • Support TA/HR data requirements for regulatory reporting audits compliance activities and other governance requirements.
Required Knowledge & Skills
  • Proven experience in HR/TA data analytics workforce analytics people analytics or a similar analytical role with hands-on experience working with HR-related datasets.
  • Strong understanding of HR and Talent Acquisition processes metrics KPIs and reporting requirements.
  • Advanced proficiency in data analysis tools such as Microsoft Excel R Python and SQL or equivalent statistical/data-analysis platforms.
  • Strong experience with Power BI or similar data visualization tools including the ability to build meaningful dashboards and management reports.
  • Familiarity with HRIS and ATS platforms including understanding of data structures data extraction manipulation and reporting.
  • Strong knowledge of statistical methods and analytical techniques including correlation analysis regression analysis and predictive modelling.
  • Ability to identify patterns trends relationships and potential risks within complex datasets and translate them into actionable business insights.
  • Experience in using Excel macros/VBA or similar automation techniques to streamline recurring reports dashboards and data processes.
  • High degree of attention to detail with a strong focus on data accuracy consistency and quality.
  • Strong organizational and time-management skills with the ability to manage multiple priorities and deliver within defined timelines.
  • Ability to work effectively independently as well as collaboratively with TA HR IT and business stakeholders.
  • Strong communication presentation and data-storytelling skills with the ability to explain analytical findings to both technical and non-technical audiences.
  • Demonstrates a continuous learning mindset staying current with developments in people analytics HR technology data tools and analytical best practices.
Business & Leadership Capabilities
  • Business Acumen: Develop a strong understanding of the business its workforce talent requirements and the roles/functions being supported.
  • Stakeholder Management: Confidently engage with team members hiring managers HR leaders and stakeholders across the organization to understand requirements and communicate insights.
  • Problem Solving: Demonstrate an analytical and structured approach to solving problems and the ability to adapt effectively within a fast-paced and continuously evolving environment.
  • Decision Support: Use data and analysis to provide meaningful insights that influence hiring workforce and TA-related decision-making.
  • Impact & Accountability: Take ownership of deliverables and ensure timely accurate and high-quality outputs that directly contribute to core TA/HR activities.
  • Continuous Improvement: Act as a champion for improving data quality reporting processes automation and the overall effectiveness of TA analytics.
  • Interpersonal Skills: Demonstrate strong communication collaboration decision-making presentation and facilitation capabilities.
Must-Have Skills
  • Strong hands-on experience with HRIS/ATS data including data extraction manipulation and reporting.
  • Advanced Microsoft Excel skills including macros/VBA and report/dashboard automation.
  • Proficiency in SQL Python and/or R for data analysis.
  • Strong experience with Power BI or equivalent data visualization platforms.
  • Sound understanding of statistical techniques and analytical methodologies.
  • Ability to identify trends patterns correlations and anomalies within large or complex datasets.
  • Strong ability to convert data into clear insights and recommendations that support business and Talent Acquisition decisions.
  • High level of accuracy data integrity confidentiality and attention to detail.