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Data Analyst

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HomeCareers Data Analyst

Data Analyst

We are looking for a Data Analyst with a minimum of 2 years of experience in data analytics. The ideal candidate will have expertise in SQL, Excel/Gsheets, Python, and a solid understanding of root cause analysis (RCA), KPIs/metrics, and statistical modeling. The role requires a deep understanding of statistics and probability, along with effective communication skills to translate complex data insights into actionable recommendations. Experience in thefintech domain is a plus.

Experience: 3-5 Years

Qualification: B.E/B.TECH (Computer Science/IT) or MS-IT College degree

from an accredited institution; Domain Related Qualifications preferred.

Qualifications

  • Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Finance).
  • Minimum of 3 years of experience in data analytics, with a strong focus on SQL,Excel/Gsheets, and Python.
  • Solid understanding of statistics, probability, and statistical modeling techniques.
  • Proven experience with root cause analysis (RCA) and developing KPIs/metrics.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
  • Experience in the fintech domain is an added advantage.
  • Familiarity with data visualization tools and creating visualizations in Excel.
  • Good knowledge of Pandas and NumPy.

Key Responsibilities

  • Analyze large datasets using SQL, Excel/Gsheets, and Python to extract meaningful insights.
  • Perform root cause analysis (RCA) to identify issues and provide data-driven solutions.
  • Develop and monitor key performance indicators (KPIs) and metrics to assess business performance.
  • Build and validate statistical models to support data-driven decision-making.
  • Interpret and communicate complex data findings to stakeholders in a clear and concise manner.
  • Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions.
  • Stay up-to-date with industry trends and best practices in data analytics and the fintech domain.



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