Data Analyst - Collections

Job Requirements

About the Role

As a Data Analyst in the Data & Analytics function, based in Mumbai , you will support the delivery of business outcomes by identifying analytical opportunities, building data-driven tools, and developing test strategies. You will work closely with Senior Analysts and Lead Analysts to translate business needs into actionable insights, contributing to the organization’s data-driven decision-making framework.

Key Responsibilities

Primary Responsibilities

• Identify and scope business requirements and priorities through structured data analysis and stakeholder engagement.
• Design and apply analytics techniques to meet current and future business needs.
• Demonstrate a strong understanding of data structures and fields required for effective analysis.
• Map analytical frameworks to available data sources to ensure alignment with business objectives.
• Collect, clean, and organize data from multiple sources to ensure accuracy and reliability.
• Conduct statistical analysis and create visualizations to present findings in a clear, actionable manner
• Support ongoing monitoring of business performance through regular reporting and ad-hoc analysis.
• Develop test strategies and systematic procedures to validate solution performance and accuracy.
• Select and apply algorithms and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes.
• Approach problems with creativity and develop innovative, data-driven solutions.
• Challenge existing processes to drive continuous improvement and operational efficiency.
• Maintain a strong focus on goal achievement and follow through on initiatives.
• Understand the broader business context and how data-driven decisions impact overall outcomes.

What We Are Looking For

Education

• Graduation: B.Sc (Bachelor of Science) or B.Tech (Bachelor of Technology) or BCA (Bachelor of Computer Applications)
• Post-Graduation: M.Sc (Master of Science) or M.Tech (Master of Technology) or MCA (Master of Computer Applications)

Experience

• 2 to 5 years of relevant experience in data analytics, business intelligence, or related fields.

Skills and Attributes

• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools and programming languages (e.g., Python, SQL, Excel).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Understanding of statistical methods and machine learning fundamentals.
• Ability to work collaboratively and support senior team members.
• Strong communication and documentation skills.
• A proactive mindset with a focus on innovation and continuous learning.

Key Success Metrics

• Development and deployment of analytical tools.
• Delivery of business cases and actionable data insights.