Business Analyst

Time Hack Consulting; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Time Hack Consulting in Bengaluru is seeking a Business Analyst for the Collections team to translate business problems into analytical solutions, build scalable data processes, and deliver actionable insights to improve collections performance.

You will work with large datasets, write efficient SQL queries, develop dashboards, and collaborate with Collections, Operations, Product, and Tech to drive data-driven decision making.

Qualifications

• Strong analytical and problem-solving skills.
• Proficiency in SQL and data querying techniques.
• Bachelor’s degree in Engineering, Statistics, Mathematics, Economics, or related field.
• Ability to work with large datasets and multiple data sources.
• Attention to detail and commitment to data accuracy.

Responsibilities

• Translate business problems into analytical requirements for collections.
• Develop use cases and standardized outputs aligned with collections objectives.
• Work with large datasets to generate actionable insights for collections strategy.
• Write efficient SQL queries to extract and manipulate data with minimal post-processing.
• Build and scale dashboards, reports, and data pipelines for collections performance tracking.
• Collaborate with Data Engineering to automate recurring reports and processes.

Skills

Strong analytical and problem-solving

SQL proficiency

Education

Bachelor’s degree in Engineering, Statistics, Mathematics, Economics, or related field

Tools

SQL

Job description

About The Role

The Business Analyst in the Collections team will play a critical role in driving data-backed decision-making for the collections function. This role involves translating business problems into analytical solutions, building scalable data processes, and delivering actionable insights to improve collections performance and efficiency.

Key Responsibilities

• Business Problem Solving & Requirement Translation
• Translate complex or ambiguous business problem statements into clear analytical requirements.
• Define structured analytical approaches and validate them with stakeholders.
• Develop use cases and standardized outputs aligned with collections objectives.
• Data Analysis & Insight Generation
• Work with large and diverse datasets to generate actionable insights for collections strategy.
• Perform deep-dive analysis to identify trends, inefficiencies, and improvementopportunities.
• Ensure high standards of accuracy, consistency, and data integrity in all outputs.
• Data Extraction & Query Optimization
• Write efficient queries (SQL) to extract and manipulate data with minimal post-processing.
• Utilize advanced querying techniques (e.g., joins, window functions) for robust analysis.
• Pull and triangulate data from multiple sources to ensure data reliability and consistency.
• Reporting & Automation
• Build and scale dashboards, reports, and data pipelines for collections performance tracking.
• Develop self-serve reporting solutions that stakeholders can easily use and update.
• Collaborate with Data Engineering teams to automate recurring reports and processes.
• Stakeholder Collaboration
• Work closely with Collections, Operations, Product, and Tech teams to understand requirements.
• Proactively engage stakeholders to refine problem statements and deliver impactful insights.
• Communicate findings in a clear, concise, and actionable manner.
• Project & Timeline Management
• Independently manage project timelines, deliverables, and stakeholder expectations.
• Ensure timely delivery of high-quality outputs with minimal supervision.
• Coordinate effectively within the team to ensure smooth execution of analytics projects.

Key Skills & Competencies

• Strong analytical and problem-solving skills
• Proficiency in SQL and data querying techniques

Preferred Experience

• 0-2 years of experience in Business Analytics / Data Analytics roles
• Experience in NBFC, Banking, Fintech, or related domains preferred
• Bachelor’s degree in Engineering, Statistics, Mathematics, Economics, or related field
• Ability to work with large datasets and multiple data sources
• Strong stakeholder management and communication skills
• Attention to detail and commitment to data accuracy
• Basic understanding of collections or lending business (preferred)