Statistics/Data Analytics Associate

1 - 6 years

20 - 25 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Apply statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights.
  • Calculate descriptive statistics including mean, median, mode, variance, standard deviation, and percentiles to summarize data characteristics.
  • Conduct inferential statistical analyses using hypothesis testing, confidence intervals, p-values, t-tests, chi-square tests, and ANOVA.
  • Utilize probability theory by working with probability distributions, Bayes theorem, and random variables to model uncertainty.
  • Perform regression analysis with linear, logistic, and multivariate models, including thorough model diagnostics.
  • Implement sampling methods such as simple random, stratified, and cluster sampling, and determine appropriate sample sizes.
  • Analyze time series data for trends, seasonality, and forecasting using ARIMA and related models.
  • Demonstrate proficiency in R, Python (NumPy, pandas, SciPy, statsmodels), SAS, SPSS, and Stata for statistical analysis.
  • Partner with business stakeholders to translate business questions into structured analyses and actionable recommendations.
  • Clean, organize, and validate data to ensure the accuracy and reliability of analytical results.
  • Develop dashboards and reports in Tableau for effective data visualization and business consumption, and use Python for advanced analytics and automation.

Required qualifications, capabilities, and skills

  • Bachelor s or Master s degree in Statistics, Mathematics, Data Science, Economics or related field.
  • 6+ years of experience in data analytics, business intelligence, or a similar role.
  • Strong foundation in Statistics (hypothesis testing, probability, regression, experimental design, sampling methods).
  • Proficiency in SQL for data extraction and manipulation.
  • Ability to work with large, complex datasets and draw actionable insights.
  • Excellent problem-solving, logical thinking, and business acumen.
  • Strong communication skills to explain technical findings to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

  • Experience with Python for data analysis, automation, or machine learning.
  • Hands-on experience with Tableau for creating interactive dashboards.
  • Exposure to data wrangling tools and cloud platforms (Alteryx, Power BI, Snowflake, AWS, etc.) is a plus.

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JPMorgan Chase Bank logo
JPMorgan Chase Bank

Financial Services

New York

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