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Salary
≈ $20k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
Backed by Y Combinator

'

: - ( - )

Experience: 15+ yrs

Location: Bengaluru, Karnataka, India

We are looking for an accomplished Data Analytics Leader with extensive experience in 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.

Requirements

Key Responsibilities

  • Define and execute the data analytics and HR analytics strategy 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 experience in data analytics, business intelligence, workforce analytics, or related analytical leadership roles.
  • Strong expertise in 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 as 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.
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