# Data Science

**Company:** [Weekday AI](null/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Mumbai, India
**Workplace:** on site
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](null/view/66ea5ebf-c1ac-4939-8d0d-317362b54bd4)

## Description

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.