Position:
• Associate Data Analyst
Company:
• DPDzero
Location:
• Bengaluru, Karnataka, India
Job type:
• Full time
Job mode:
• On site
Job requisition id:
• Not publicly disclosed
Years of experience:
• 0 to 1 years
Company description
• DPDzero operates as a technology driven financial services organization focused on transforming how collections are managed for lending institutions
• The company builds AI powered systems that allow banks and non banking financial companies to automate borrower communication while maintaining ethical standards
• Its platform blends intelligent digital reminders, AI based voice agents, and structured human interventions to improve repayment outcomes
• DPDzero focuses strongly on borrower experience, ensuring communication remains respectful, compliant, and customer friendly
• The organization works with some of the most recognized financial brands in India across banking, lending, and fintech sectors
• Its solutions currently support collections for over one crore borrowers across the country
• DPDzero positions itself as a long term partner for lenders by reducing operational cost while increasing recovery efficiency
• The company emphasizes automation as a way to eliminate repetitive manual collection processes
• Backing from well known venture capital firms highlights confidence in the company’s business model and long term growth
• The internal culture encourages experimentation, learning, and rapid execution
• Teams operate in a fast moving environment where data driven decisions guide product and operational strategy
• DPDzero invests heavily in data quality, analytics, and AI systems to support its core platform
• Employees are encouraged to take ownership of systems they build and improve
• The company promotes collaboration between engineering, analytics, operations, and business teams
• As a growing fintech organization, DPDzero offers exposure to real world financial data at large scale
• The organization values ethical use of technology in financial decision making
• Its long term mission is to build a fully automated collections ecosystem that benefits both lenders and borrowers
• DPDzero continues to scale its technology, team size, and client base across India
Profile overview
• This role is designed for early career professionals who want to build a strong foundation in data analytics and automation
• The Associate Data Analyst acts as a key support function for the company’s AI driven platform
• The position focuses heavily on preparing, cleaning, and validating data before it is consumed by internal systems
• Candidates in this role work closely with raw datasets received from financial institutions
• The job involves transforming unstructured and semi structured data into formats ready for analysis and automation
• Python scripting forms the core of daily responsibilities
• The role provides exposure to real production data rather than simulated academic datasets
• Analysts contribute directly to systems that influence large scale financial operations
• Automation is a major component, with analysts building scripts that replace manual workflows
• The role offers a strong learning curve through continuous interaction with experienced analysts and data scientists
• Reporting responsibilities allow analysts to see how data translates into business decisions
• Documentation and process clarity are emphasized to ensure consistency and scalability
• The position serves as a strong entry point into advanced analytics or data engineering roles
• Analysts gain understanding of fintech operations and lending workflows
• The role requires attention to detail due to the sensitive nature of financial data
• Collaboration with multiple teams helps analysts understand broader business context
• Success in this role builds both technical confidence and domain knowledge
• The position is ideal for individuals who enjoy working behind the scenes to ensure systems run smoothly
Qualifications
• Strong foundation in Python programming with emphasis on data manipulation
• Practical experience using libraries such as pandas for handling large datasets
• Ability to clean, validate, and structure data efficiently
• Educational background in engineering or technical disciplines such as computer science, information technology, mathematics, or statistics
• Comfort working with spreadsheets, CSV files, and database exports
• Logical thinking and structured problem solving ability
• High level of accuracy when handling sensitive data
• Willingness to learn new tools and workflows quickly
• Ability to understand business requirements and translate them into data tasks
• Clear written communication skills for documentation and reporting
• Basic understanding of how data supports business operations
• Familiarity with scripting concepts such as functions and reusable code
• Comfort working in a team based environment
• Ability to manage multiple tasks and deadlines
• Openness to feedback and continuous improvement
• Fresh graduates with strong fundamentals are encouraged to apply
• Prior internship or academic project experience in data is helpful but not mandatory
Additional info
• Exposure to faster data processing libraries such as polars can be beneficial
• Familiarity with SQL helps in querying and validating datasets
• Dashboarding experience using tools like Tableau or Power BI adds value
• Understanding of version control systems such as Git supports collaboration
• Knowledge of data validation frameworks strengthens data reliability
• Awareness of fintech or lending concepts helps contextual understanding
• The company offers mentorship from senior analytics professionals
• Analysts can see immediate impact of their work on live systems
• Growth opportunities exist toward data analyst or data engineer roles
• The role encourages building a reusable script library for long term efficiency
• Hands on coding begins from the first day
• The environment rewards proactive automation ideas
• Performance is measured through practical outcomes rather than theoretical metrics
• The company supports learning through real business use cases
• Exposure to large scale datasets accelerates skill development
• Analysts gain experience working in a regulated financial domain
• The organization values ethical handling of borrower data
• Career progression is tied to skill growth and ownership
Please click here to apply.
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