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Statistics / Data Analytics Associate

Statistics / Data Analytics Associate

ConfidentialBengaluru / Bangalore, India
21 days ago
Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role.

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and intellectually stimulating environment This is a unique chance for you to work as a Statistics and Analytics Professional within the CO&D WKO Data Management team. Utilize your expertise in statistical techniques to deliver actionable insights and support data-driven decision-making. Join us and become part of a team that values innovation, analytical rigor, and excellence in quantitative research and data analysis.

Job Summary

As a Statistical Data Analyst within the Commercial & Investment Bank, you will be responsible for designing, executing, and interpreting statistical analyses to support business decision-making. You will work with large and complex datasets to uncover trends, test hypotheses, and provide actionable insights that drive strategic initiatives. Your role involves applying advanced statistical techniques, building predictive models, and ensuring the rigor and accuracy of all analyses.

You will collaborate closely with business partners, data engineers, and other analysts to translate business questions into statistical problems and deliver clear, concise results. You will be expected to write clean, reusable code in R or Python for data analysis, automate statistical workflows, and document methodologies to ensure transparency and reproducibility.

Job Responsibilities

  • 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.
  • About Us

    JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

    We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

    About The Team

    J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

    Skills Required

    Numpy, Pandas, Scipy, Sas, Spss, Stata, Tableau, Sql, Python

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