Senior Analyst, Pricing Analytics

Overview

Senior Analyst on the Pricing Analytics team at Lowe's India, developing descriptive and predictive analytics models and tools that support Lowe's pricing strategy.

What you'll do

• Translate pricing strategy and business objectives into analytics requirements.
• Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from internal and external sources.
• Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.
• Research, design, and implement relevant statistical and machine learning models to solve specific business problems.
• Ensure the accuracy of data science and machine learning model results and build trust in their reliability.
• Apply machine learning model outcomes to relevant business use cases.
• Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.
• Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data.
• Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions.
• Keep up to date with the latest developments in data science, statistics, and experimentation techniques.
• Automate routine manual processes to improve efficiency.

What you'll need

• 3-6 years of relevant experience.
• Bachelor's or Master's in Engineering, business analytics, Data Science, Statistics, economics, or math.
• 3+ years of experience in advanced quantitative analysis, statistical modeling and Machine Learning.
• Ability to perform analytical concepts such as Regression, Sampling techniques, hypothesis testing, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, and Predictive Modelling.
• 3+ years' experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management.
• 3+ years' experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS.
• 3+ years' experience working with enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2).
• 3+ years' experience using enterprise-grade data visualization tools (e.g., Power BI, Tableau).
• 3+ years' experience working with cloud platforms (e.g., GCP, Azure, AWS).

Nice to have

• Technical expertise in Alteryx, Knime.

Details

• Location: Bengaluru, on-site office.