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Data Analytics Leader

Weekday AIBengaluru, Karnataka๐Ÿ‡ฎ๐Ÿ‡ณIndiaPosted 14 Oct 2026

Why This Role Stands Out

As a Data Analytics Leader at Weekday AI's client, you'll shape data strategy and drive impactful HR analytics initiatives, leveraging your extensive experience to transform insights into business growth. This pivotal role is perfect for a seasoned professional with a passion for data-driven decision-making and a desire to lead a team towards organizational excellence. Apply now to make a significant impact in this dynamic environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
Bengaluru, Karnataka, India
Posted
20 hours ago
SQLTableauComplianceEmployee EngagementForecastingHRISPower BIPythonWorkforce Planning

Job Description

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿด๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฑ๐Ÿฌ-๐Ÿด๐Ÿฌ ๐—Ÿ๐—ฃ๐—”)

Experience: 15+ yrs

Location: Bengaluru, Karnataka, India

We are looking for an accomplishedย Data Analytics Leaderย with extensive experience inย data analytics, HR analytics, business intelligence, and data-driven decision-making. The ideal candidate will combine strategic thinking, analytical expertise, and leadership capabilities to transform complex data into actionable insights that drive business performance and workforce effectiveness.

This role requires a strong understanding of enterprise analytics, workforce data, predictive modelling, and modern analytics platforms. You will lead analytics strategy, strengthen data governance, develop scalable reporting frameworks, and partner with senior leadership to identify opportunities for operational improvement and business growth.

Key Responsibilities

  • Define and execute theย data analytics and HR analytics strategyย in alignment with organisational objectives.
  • Lead the development of analytics frameworks, dashboards, reports, and performance measurement systems.
  • Drive HR analytics initiatives covering recruitment, attrition, employee engagement, workforce planning, productivity, and talent management.
  • Translate complex business and workforce data into actionable insights and strategic recommendations.
  • Partner with senior leadership, HR, Finance, Technology, and Operations to identify analytical opportunities and business priorities.
  • Establish KPIs, metrics, and reporting standards to measure business performance and workforce effectiveness.
  • Oversee data modelling, statistical analysis, trend identification, and predictive analytics initiatives.
  • Improve data quality, governance, consistency, security, and compliance across analytics processes.
  • Lead and mentor analytics professionals, fostering analytical excellence and continuous learning.
  • Identify opportunities to automate reporting, streamline workflows, and improve analytics efficiency.
  • Evaluate emerging analytics technologies and promote self-service business intelligence.
  • Present insights, forecasts, and recommendations to executive stakeholders to support strategic decision-making.

What Makes You a Great Fit

  • 15+ years of experienceย in data analytics, business intelligence, workforce analytics, or related analytical leadership roles.
  • Strong expertise inย data analytics and HR analytics, including workforce metrics, employee lifecycle analysis, and talent insights.
  • Proven experience leading enterprise analytics strategy and delivering measurable business outcomes.
  • Strong knowledge of statistical analysis, data modelling, forecasting, and predictive analytics.
  • Experience with BI and visualisation platforms such asย Power BI, Tableau, or similar tools.
  • Proficiency in SQL and familiarity with Python, R, or comparable analytical technologies.
  • Experience working with HRIS platforms and workforce data is highly desirable.
  • Strong understanding of data governance, privacy, quality, and analytical best practices.
  • Excellent leadership, stakeholder-management, communication, and problem-solving skills.
  • Ability to influence senior stakeholders and translate analytical findings into clear business recommendations.
  • A degree in Analytics, Statistics, Computer Science, Mathematics, Business, or a related discipline is preferred; relevant postgraduate qualifications are an advantage.