Data Analyst

4 days ago


Gurgaon, Haryana, India FinBox Full time ₹ 6,00,000 - ₹ 12,00,000 per year

FinBox: Where Fintech Meets Fun
Welcome to FinBox, the buzzing hive of tech innovation and creativity

Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines.

Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we've helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month.

Why Should You Be a FinBoxer

  • Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.
  • Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.
  • Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement.
  • Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.

Who's a Great FinBoxer:
At FinBox, we're on the lookout for exceptional folks who are all about innovation and impact. If you're excited to shake things up in the banking & financial services world, keep reading

Creative Thinkers:
If your brain is always bubbling with out-of-the-box ideas and wild solutions, you're our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.

Customer Heroes:
Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.

Team Players:
We believe in the power of "we." If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you'll fit right in.

How You'll Contribute

  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality.
  • Acquire data from primary or secondary sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Clean and filter data by reviewing reports, printouts, and performance indicators to locate and correct issues.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

*Who You Are:*

  • 2-4 years of proven experience as a Data Analyst or Business Data Analyst with a strong analytical mindset.
  • Expertise in data models, database design, data mining, and segmentation techniques.
  • Strong proficiency in SQL, reporting tools (e.g., Business Objects, Power BI, Tableau), and data processing frameworks.
  • Knowledge of statistics and experience using statistical packages such as Excel, SPSS, or SAS for analyzing datasets.
  • Experience with programming languages like XML, JavaScript, or ETL frameworks is a plus.
  • Ability to collect, organize, analyze, and interpret large datasets with attention to detail and accuracy.
  • Strong experience in querying, report writing, and data visualization.
  • Candidates with experience in banking, NBFCs, or risk analytics are preferred.
  • Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

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