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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
- Solid problem-solving mindset and willingness to continuously learn new analytical techniques and technologies

📌 Data Science (Mumbai)
🏢 Weekday AI (YC W21)
📍 Mumbai