DPDzero is hiring for a Data Intern

Company Description

DPDzero is a pioneering fintech company aimed at revolutionizing credit access in India.
Our mission is to improve credit penetration by enabling lenders to focus on customer acquisition, while we manage delinquency.
Founded 18 months ago, we collaborate with over 20 lending partners.
Secured $3.25 million in seed funding from notable investors like Blume Ventures, India Quotient, and Better Capital.
Utilizes a digital-first approach and machine learning to transform the lending industry.
Prioritizes compliance, data-driven decision-making, and a culture of experimentation.
Aims to maximize value for lenders and provide unparalleled customer experience.
Committed to empowering individuals with greater financial opportunities.

Seeking a talented Data Intern to join DPDzero’s team.
Key role in consolidating and analyzing large datasets for client services and product enhancement.
Responsibilities include identifying questions and issues for data analysis, developing software programs and algorithms, and automating data processes.
Will interpret and communicate findings to internal and external stakeholders.
Propose innovative ideas using data analysis and visualization techniques to address business needs.
Collaborate with cross-functional teams to ensure data-driven decision-making and data integrity.
Adhere to data standards, security protocols, and company policies while handling and analyzing data.

Bachelor’s degree in Analytics, Data Science, Mathematics/Statistics, Computer Science, or related field.
Superior communication and storytelling skills to present complex data insights clearly.
Strong team player with excellent interpersonal skills for effective collaboration.
Proficient in programming, preferably Python, for data analysis and manipulation.
Familiarity with data analytics tools such as Tableau, Power BI, Excel, Metabase, and Kibana.
Understanding of data management principles, including collection, analysis, reporting, and database management.
Knowledge of statistical analysis techniques and data mining methodologies.
Strong problem-solving and critical-thinking abilities focused on generating actionable insights from data.
Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.

Collaborate with product and service teams to identify data analysis needs.
Develop and implement algorithms and automated processes for data integration and evaluation.
Identify insights and patterns from large data sets using statistical techniques.
Communicate analysis results to stakeholders, including product managers, service teams, and business managers.
Stay updated with advancements in data analytics to enhance products and services.
Ensure data integrity and quality by collaborating with data scientists, engineers, and business stakeholders.
Adhere to company policies, data standards, and security protocols in all data-related activities.