Consultant - Data Analytics

Wibmo Inc.; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Dynamic workplace

Inclusive environment

Training courses access

Global scale startup culture

Job summary

PayU’s Risk Operations team in Gurgaon seeks a Consultant – Data Analytics to analyse risk and operational data, build dashboards, automate workflows, and provide actionable insights to support risk decisions.

The role offers collaboration across risk, product, and technology teams, exposure to AI tools, and a fast-paced fintech environment focused on scalable analytics and reporting.

Qualifications

• Bachelor’s or Master’s degree in a quantitative discipline.
• Experience in data analytics, BI, risk analytics, or operations analytics.
• Strong SQL skills with complex queries.
• Strong Python for data analysis, automation, and reporting.
• Experience building dashboards with Tableau/Power BI/Looker.
• Familiarity with AI tools and analytics applications.
• Excellent analytical, communication, and cross-functional collaboration.

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.
• 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 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.

Skills

SQL

Python

Dashboards

Data analysis

AI tools familiarity

Communication

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Tableau

Power BI

Looker

Job description

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.

About the Role:

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.

What we offer?

• A positive, get-things-done workplace
• A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
• An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
• Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
• Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)

About us:

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at www.payu.in

Our Commitment to Building A Diverse and Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities.