Back
Tier-1 brand, mid-level generalist analytics role in a metro, attracting many qualified applicants.
Analytics skills transfer across industries, but sales/marketing domain experience improves immediate fit.
Mandatory 5–8 years, specific Python/PySpark/SQL skills and sales-marketing domain requirement.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Extract, manipulate, and analyze large sales and marketing datasets using Python, Pyspark, and SQL to identify opportunities and track performance.
Apply advanced analytical methods including hypothesis testing, segmentation, time series forecasting, and test vs. control comparisons to support strategic decision-making.
Create clear presentations of analytical findings for business leaders and collaborate with sales and marketing teams to align insights with strategic goals.
5-8 years of relevant experience in sales and marketing analytics.
Proficiency in Python, Pyspark, and SQL for data analysis.
Experience with analytical methods such as hypothesis testing, segmentation, forecasting, and test vs. control analysis.
Proficiency in MS Excel and PowerPoint for data visualization and reporting.
Experienced in applying analytics specifically within Sales and Marketing domain and campaign management.
Ability to translate complex data insights into actionable business recommendations for non-technical stakeholders.
Comfortable working with large datasets and integrating multiple analytical techniques to solve complex business problems.