Data Analyst Gurugram, India

Skeps is the Point-of-Sale (POS) financing platform that serves as a differentiated marketplace for both merchants and banks - giving merchants customized financing solutions to increase their revenue by providing a wide range of financing options for their consumers through multiple bank offerings. Currently, we are on the lookout for an amazing Data Analyst who has the knowledge and skills to turn raw data into information and insight, which can be used to make business decisions.

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Key Responsibilities

  • Use automated tools to extract data from primary and secondary sources.
  • Work with technical teams to implement extraction pipelines and any maintenance improvements in the data.
  • Ensure data quality by maintaining and updating the data extraction pipeline as required.
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex datasets to identify improvement opportunities in the product.
  • Analyze local, national, and global trends that impact both the organization and the industry.
  • Develop a deep understanding of the product lifecycle, customer journey, backend checks and associated data.
  • Write automated scripts to check the accuracy of data shared with partners across multiple systems.
  • Work with technical and product teams to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Create reports and dashboards for internal and external stakeholders enabling them to make informed decisions about the product based on business performance and predictions. 

Knowledge, Skills & Experience

  • 2+ years of Proven working experience in data analysis.
  • Strong mathematical skills to help collect, measure, organize and analyze data.
  • Ability to work independently and explore data to provide innovative solutions to a business problem.
  • Proficiency in SQL and Python.
  • Experience in ETL processes using SQL stored procedures.
  • Experience in database design development, data models, techniques for data mining and segmentation.
  • Understanding of Relational database architecture.
  • Experience in MS Office (Excel, PowerPoint etc.), SAS.
  • Knowledge of data visualization tools like Tableau, Metabase, and Qlik.
  • Good communication skills to present solutions to the management. 

Good to Have:

  • Knowledge about the practices and procedures in US unsecured lending industry.
  • Knowledge about supervised and unsupervised model development.