Description

Apply statistical techniques and machine learning models to analyze business data, identify insights, and deliver actionable recommendations to stakeholders.

Responsibilities

• Apply regression, hypothesis testing, time series analysis, and clustering to extract business insights from complex datasets.
• Clean, organize, and validate data to ensure accuracy and reliability of all analytical findings.
• Develop comprehensive dashboards and reports using Tableau, communicating findings clearly through presentations.
• Perform inferential statistical analyses including t-tests, chi-square, ANOVA, and confidence intervals.
• Implement sampling methods and determine appropriate sample sizes for rigorous studies.

Required Skills

• 3+ years of experience in data analytics or business intelligence with a strong foundation in statistics.
• Proficiency in Python (NumPy, pandas, SciPy, stats models) and R for data analysis.
• Strong SQL skills for data extraction and manipulation.
• Experience with statistical software such as SAS or SPSS.
• Ability to build visualizations and dashboards in Tableau.
• Knowledge of machine learning concepts and regression analysis techniques.

Preferred Skills

• Experience with cloud platforms (AWS, Snowflake, Databricks) and data wrangling tools (Alteryx, Power BI).
• Exposure to time series analysis, ARIMA modeling, and forecasting.
• Knowledge of Stata or advanced probability theory applications.

Key Skills

Education

Any Graduate