Data Analytics Team Lead

Payoneer; Gurugram District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Payoneer is seeking a Data Analytics Team Lead in Gurgaon, India, a hybrid, full‑time role. You will lead a small team of analysts, own analytics projects end‑to‑end, and collaborate with Product, Operations, and DE teams to translate data into actionable business insights.

You’ll drive data quality, model improvements, and KPI reporting to influence product and business decisions. The role requires strong BigQuery expertise, extensive experience with BI tools, and a proven track record of

Qualifications

• 4–7+ years in data/BI analytics with leadership experience.
• Strong BigQuery skills and hands-on BI/analytics tools.
• Experience with large, complex datasets and cross-functional stakeholders.
• Ability to translate complex analytics into actionable business insights.

Responsibilities

• Build deep understanding of business processes, data, and systems.
• Conduct analyses to identify trends, bottlenecks, and opportunities.
• Own the full lifecycle of analytics from exploration to insight.
• Lead dashboards and self-service analytics; ensure data quality.

Skills

Leadership

Mentoring

Communication

Stakeholder management

Analytical storytelling

AI/ML familiarity

Education

Bachelor's degree in related field

Tools

BigQuery

Looker

Power BI

Tableau

Job description

Role Summary

We’re looking for a Data Analytics Team Lead who is a tech enthusiast with a drive for excellence and an out‑of‑the‑box mindset to satisfy business needs in a complex payment solution environment. This role combines people leadership with hands‑on analytics: you will set the bar for analytical excellence, ensure high‑quality outputs, and drive measurable business value from data.

What You’ll Do

Data Analytics & Impact

• Build deep understanding of business processes, data flows, and systems across the organization.
• Conduct population and funnel analyses to identify trends, bottlenecks, and optimization opportunities.
• Own the full lifecycle of analytical work: from data exploration and modeling to insight generation and recommendations.
• Partner with BI and DE to ensure data models and pipelines support scalable, reliable analytics and reporting.
• Perform hands‑on analysis using BigQuery and BI tools; build and maintain dashboards and self‑service analytics.
• Ensure data quality, consistency, and integrity across all outputs.
• (Potential scope expansion) Support product teams with key metrics, event tracking, and feature performance analysis.

Team Leadership & Coordination

• Lead, mentor, and develop a team of 2–3 data analysts at different seniority levels, setting clear objectives and fostering a culture of ownership and excellence.
• Provide technical and analytical guidance, conduct reviews, and promote best practices in analytics and documentation.
• Coordinate cross‑location projects with BI, DPM, and DE teams, ensuring clear priorities, smooth communication, and timely delivery.

Stakeholder Management & Communication

• Collaborate with product, business, and operations to understand needs and translate them into analytical projects and actionable insights.
• Present complex findings clearly to both technical and non‑technical audiences, emphasizing impact and recommended actions.
• Work with stakeholders to refine outputs, implement analytical improvements, and track value realization.
• Prioritize requests and manage the analytics backlog/roadmap to maximize business impact.

Who You Are

• 4–7+ years in data/BI analytics, including experience leading or mentoring analysts
• Strong BigQuery skills and hands‑on experience with BI/analytics tools (e.g., Looker, Power BI, Tableau)
• Experience working with large, complex datasets and with BI/Data Engineering and cross‑functional stakeholders, ideally in distributed teams
• Demonstrated ability to translate complex analytical findings into clear, actionable business insights
• Strong communication and storytelling skills; high ownership mentality and focus on measurable results
• Familiarity with using AI/ML for analytics (e.g., predictive models, anomaly detection, AI‑assisted insights)
• Nice to have – exposure to product analytics (product KPIs, event tracking, A/B testing)

Location: Gurgaon, India

Hybrid – Full‑time

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case‑by‑case basis.