HR Data Analyst | Bangalore

Saaki, Argus and Averil Consulting; Bengaluru; On-site; INR 900,000 - 1,600,000; Full time

Job summary

Saaki Argus And Averil Consulting in Bengaluru seeks a TA Data Analyst to collect, manage and interpret talent acquisition data from ATS, HRIS and surveys, turning it into actionable insights, dashboards and recommendations for better hiring and the candidate experience.

You will ensure data quality and privacy, collaborate with IT and HR teams, and develop KPIs, predictive models and vendor metrics to support data-driven decision making.

Qualifications

• Hands-on experience with HRIS/ATS data extraction and reporting.
• Strong Excel skills with macros/VBA and dashboard automation.
• Proficiency in SQL, Python and/or R for data analysis.
• Experience with Power BI for dashboards and storytelling.
• Knowledge of HR processes, KPIs and reporting requirements.

Responsibilities

• Gather and consolidate TA and new-hire data from multiple sources.
• Clean, structure, transform and validate datasets for accuracy.
• Analyse TA/HR data to identify trends and actionable insights.
• Design, develop and maintain TA/HR dashboards and reports.
• Perform statistical analysis and predictive modelling.
• Monitor data quality, investigate discrepancies and fix issues.
• Collaborate with IT, HR tech and vendors to improve data systems.
• Support regulatory reporting and audits as required.

Education

Bachelor's degree in HR/IT/Statistics

Tools

Power BI

SQL

Python

R

Excel macros/VBA

ATS/HRIS data

Job description

TA Data AnalystRole OverviewThe 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 ResponsibilitiesGather 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 & SkillsProven 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 CapabilitiesBusiness 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 SkillsStrong 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.