Consultant - Data Analytics

PayU; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

PayU’s Risk Operations team in Gurgaon seeks a Consultant - Data Analytics to analyze risk and operational data, develop dashboards, automate processes, and deliver insights for risk decisions. Work with large, complex datasets, translate requirements into analytical solutions, and collaborate with stakeholders across risk, product, tech, and operations.

The role emphasizes building AI-enabled analytics, expanding reporting capabilities, and maintaining data quality while driving impactful

Qualifications

• Strong SQL skills and ability to work with complex queries across multiple sources.
• Proficient in Python for data analysis, automation, and reporting.
• Experience building dashboards in Tableau/Power BI/Looker.
• Background in risk analytics, BI, or operations analytics is preferred.

Responsibilities

• Analyse risk, transaction, and operational data to identify trends and anomalies.
• Write and optimize SQL queries to extract and analyze data from multiple sources.
• Use Python for data analysis, automation, and reporting.
• Design and maintain dashboards to monitor key risk and operational metrics.
• Automate recurring reports and data workflows to improve efficiency.

Skills

SQL

Python

Data analysis

Dashboards

AI tools

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau

Power BI

Looker

Excel

Job description

Job Summary

The Risk Operations team at PayU is a data-driven function responsible for supporting the identification, assessment, and mitigation of financial and operational risks across the payments ecosystem. The team uses data, analytics, automation, and technology-enabled solutions to strengthen risk controls, improve operational efficiency, and support seamless experiences for merchants and customers. Working closely with risk, product, technology, operations, and business teams, the Risk Operations team converts complex data into actionable insights that support informed decision-making and effective risk management. This is an opportunity to contribute to a fast-paced fintech environment where analytics plays an important role in managing risk at scale.

Role Overview

PayU is looking for a Consultant - Data Analytics to join the Risk Operations team in Gurgaon for a 12-month assignment. The role will focus on analysing risk and operational data, developing dashboards and reports, automating recurring processes, and providing insights that support business and risk decisions. The successful candidate will work with large and complex datasets, translate business requirements into analytical solutions, and collaborate with stakeholders to improve reporting, monitoring, and decision-making. The role also requires an interest in emerging AI tools and their practical applications in data analytics, reporting, and process automation.

Responsibilities

• Analyse risk, transaction, operational, and business data to identify trends, patterns, anomalies, and potential areas of concern.
• Write and optimise SQL queries to extract, transform, validate, and analyse data from multiple sources.
• Use Python for data analysis, data preparation, automation, reporting, and development of analytical solutions.
• Design, build, and maintain interactive dashboards and reporting systems to monitor key risk and operational metrics.
• Translate business and stakeholder requirements into meaningful reports, dashboards, analytical models, and actionable insights.
• Automate recurring reports, data preparation activities, monitoring processes, and other manual workflows to improve efficiency and accuracy.
• Perform root-cause analysis on operational issues, risk incidents, data discrepancies, and performance trends.
• Establish data validation and quality checks to ensure the accuracy, completeness, and consistency of reports and dashboards.
• Identify opportunities to improve existing processes through data analysis, automation, and better use of technology.
• Collaborate with Risk, Operations, Product, Technology, and Business teams to understand requirements and deliver effective analytical solutions.
• Present analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Explore and apply relevant AI tools to support data analysis, insight generation, dashboard development, documentation, and process automation, while ensuring appropriate review of outputs.
• Maintain documentation for queries, dashboards, reporting logic, processes, and analytical methodologies.
• Stay informed about developments in risk analytics, data visualisation, automation, and AI applications relevant to the fintech and payments industry.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline.
• Relevant experience in data analytics, business intelligence, risk analytics, operations analytics, or a related field.
• Strong working knowledge of SQL, including the ability to work with complex queries and data from multiple sources.
• Strong working knowledge of Python for data analysis, data manipulation, automation, and reporting.
• Hands-on experience in building, maintaining, and improving dashboards using tools such as Tableau, Power BI, Looker, or similar platforms.
• Experience in automating reports, dashboards, data workflows, or recurring operational processes.
• Familiarity with AI tools and their applications in analytics, reporting, data exploration, documentation, or workflow automation.
• Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
• Ability to identify trends, investigate discrepancies, perform root-cause analysis, and derive actionable insights.
• Understanding of data quality, validation, reconciliation, and governance principles.
• Strong communication skills, with the ability to present complex analysis in a clear and structured manner.
• Ability to collaborate effectively with cross-functional stakeholders and manage multiple priorities.
• Proactive, detail-oriented, and comfortable working independently in a fast-paced environment.
• Experience in fintech, payments, banking, financial services, fraud, or risk operations would be an advantage.
• Knowledge of risk management, fraud detection, transaction monitoring, or operational risk concepts would be preferred.
• Familiarity with advanced analytics, machine learning concepts, or big-data technologies would be an advantage.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.