HR Data & Analytics

Travelex; Mumbai Suburban; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Travelex in Mumbai is seeking a Manager HR Data & Analytics to lead a team of data analysts, deliver high-quality insights, and partner with stakeholders to translate requirements into actionable analytics.

You will oversee data extraction, ETL, dashboards and governance, balancing hands-on analytics with people leadership to drive improved reporting and business decision-making.

Qualifications

• Team leadership and delivery management experience.
• Strong SQL, Excel, and data visualization skills.
• Understanding of ETL processes and reporting systems.
• Excellent stakeholder management and communication abilities.

Responsibilities

• Lead a team of data analysts, manage performance and development.
• Oversee analytics projects from data extraction to reporting.
• Develop dashboards and MIS reporting aligned with business needs.
• Support leaders with insights to improve efficiency, customer experience, and revenue.
• Ensure data accuracy, consistency, and governance across outputs.
• Drive automation and improvements in analytics workflows.
• Collaborate with IT and data engineering teams for data availability.
• Promote data-driven decision-making and compliance.

Skills

SQL

Excel

Analytical thinking

Stakeholder management

Tools

Power BI

Tableau

Job description

Justification The Manager HR Data & Analytics is responsible for managing the delivery of high-quality analytics and insights to support business decision-making. The role leads a team of analysts, ensures robust data processes, and partners with business stakeholders to translate operational and strategic requirements into actionable insights. The role combines hands-on analytics expertise with team leadership and stakeholder management to drive measurable business outcomes.

Job Description

Key Accountabilities

• Manage and lead a team of data analysts, ensuring delivery excellence, performance management, and capability development.
• Oversee the execution of analytics projects, including data extraction, transformation, analysis, and reporting.
• Develop dashboards, MIS reporting, and performance tracking frameworks aligned with business needs.
• Support business leaders with insights to improve operational efficiency, customer experience, and revenue performance.
• Ensure data accuracy, consistency, and integrity across all reporting outputs.
• Drive automation and process improvements in reporting and analytics workflows.
• Implement and maintain data governance standards and best practices.
• Contribute to analytics strategy and roadmap in alignment with function and organizational goals

Relationship Management

• Partner with business stakeholders (Operations, Finance, HR, IT, Retail and Trading teams) to understand data requirements and deliver insights.
• Build strong working relationships with mid to senior-level stakeholders to support decision-making.
• Collaborate with IT and data engineering teams to ensure data availability and system alignment.
• Coordinate with external vendors where required for tools, reporting, or benchmarking support

Communication

• Present data insights in a structured and business-friendly manner to stakeholders.
• Prepare periodic reports, dashboards, and presentations for leadership reviews.
• Simplify complex data into actionable insights for non-technical audiences.
• Ensure timely and accurate communication of deliverables and project updates
• Ensure adherence to company policies, data privacy, and compliance requirements.
• Promote a data-driven culture within the team and wider organization.
• Identify opportunities for continuous improvement in analytics capabilities.
• Stay updated with industry trends and emerging analytics tools and practices.

Knowledge and Skills

• Strong hands-on experience in SQL, Excel, and visualization tools such as Power BI or Tableau.
• Good understanding of data structures, ETL (Extract Transform Load) processes, and reporting systems.
• Proven experience in team handling and delivery management.
• Strong analytical and problem-solving skills.
• Effective stakeholder management and communication skills.
• Ability to balance hands-on analytics with team leadership responsibilities.
• Exposure to domain-specific analytics (e.g., retail, fintech, travel) is an advantage.