Introducing the new experience of Neopay. Job Responsibilities:
- Gather requirements for new reports and enhance existing reports, ensuring that they meet end-user expectations by interpreting their needs and designing the reports accordingly.
- Extract data from various sources, including databases, Salesforce, and static repositories, and perform in-depth data analysis using statistical techniques to develop solutions that enhance customer experience, guide business decision-making, and improve product offerings.
- Create informative dashboards that capture essential operational metrics, articulate results, and provide actionable business recommendations in a written format.
- Identify factors and causes related to business problems and implement innovative approaches for forecasting and prediction.
Required Qualifications and Experience:
- A Bachelor’s degree (B.E./B.Tech) in Computer Science, Mathematics, Statistics, Economics, or another quantitative field.
- Minimum of 2 years of experience in data science or analytics roles.
- Proficiency in Advanced SQL, with 2-3 years of experience in this domain.
- Strong skills in SQL programming and Python.
- Experience using machine learning algorithms such as Regression, Cluster analysis, Random Forest, PCA, or Decision Trees.
- Familiarity with visualization tools like Tableau, Power BI, Quicksight, or Looker Studio is a valuable asset.
- A proven track record of delivering substantial analytical solutions that have a positive impact on business outcomes.
- Demonstrated ability to work with extensive, disparate datasets, manipulating, processing, and extracting valuable insights.
- Strong problem-solving skills and a genuine passion for working with data.
- Exceptional communication and data presentation abilities.
- Previous experience in B2B SaaS or Fintech is a desirable qualification.