Data Science

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟴 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Mumbai, Maharashtra, India

Job Type: Full-time

We are looking for an analytical and data-driven Analytics Professional to strengthen analytics capabilities, develop scalable data solutions, and generate actionable insights that support business growth and informed decision-making.

The role combines data analytics, predictive modelling, experimentation, data infrastructure, and business intelligence, offering an opportunity to work on high-impact business problems across customer acquisition, retention, risk, delinquency, and profitability.

Requirements

Key Responsibilities

• Define, manage, and continuously improve the analytics roadmap in alignment with business objectives.
• Build, deploy, and maintain scalable data infrastructure, including data warehouses and data marts.
• Develop and maintain predictive models, scoring systems, and analytical solutions to support business decisions.
• Explore and evaluate alternate data sources to improve predictive capabilities and business insights.
• Work with large and complex datasets to identify trends, patterns, opportunities, and business risks.
• Partner with cross-functional teams to design and execute A/B tests, experiments, and test-and-learn initiatives.
• Develop analytics solutions supporting customer acquisition, churn reduction, delinquency control, and profitability improvement.
• Generate actionable insights through automated reports, dashboards, MIS, analytical queries, and business intelligence solutions.
• Monitor model performance, business metrics, data quality, and analytical outputs.
• Identify performance gaps and recommend optimisation strategies based on data-driven analysis.
• Ensure data accuracy, consistency, reliability, and availability across reporting and analytics systems.
• Support deployment, monitoring, and performance management of analytical and predictive solutions.
• Develop reusable analytical frameworks and processes to improve efficiency and scalability.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Present analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Continuously identify opportunities to improve analytics processes, automation, data utilisation, and decision-making.

What Makes You a Great Fit

• 2+ years of hands-on analytics experience in fintech, financial services, startups, consulting, or a related environment.
• Strong proficiency in SQL and Python for data analysis, querying, modelling, and automation.
• Strong understanding of data-driven problem solving and analytical frameworks.
• Experience working with large datasets and converting complex data into actionable business insights.
• Hands-on experience with data management, deployment, monitoring, and performance management frameworks.
• Understanding of predictive modelling, scoring systems, and analytical decision-making.
• Exposure to A/B testing, experimentation, or test-and-learn methodologies.
• Experience working with data warehouses, data marts, reporting systems, and analytical infrastructure.
• Strong understanding of data quality, consistency, validation, and reliability.
• Ability to connect analytical findings with measurable business outcomes.
• Strong communication and stakeholder-management skills, with the ability to explain analytical concepts clearly.
• Highly analytical, detail-oriented, and comfortable investigating complex business problems.
• Self-driven and proactive, with the ability to work independently in a fast-paced, data-driven environment.
• Strong problem-solving mindset and willingness to continuously learn new analytical techniques and technologies.