Senior Analyst - Pricing Analytics

About Lowe’s

Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts.

About Lowe’s India

At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market.

About the Team

The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones, recommend price changes and identify sales/margin opportunities to achieve company targets .

Job Summary:

Utilizing both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies

Roles & Responsibilities:

Core Responsibilities:

• Translate pricing strategy and business objectives into analytics requirements.
• Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both 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.

Years of Experience:

• 3-6 years of relevant experience

Education Qualification & Certifications (optional)

Required Minimum Qualifications

• Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math

Skill Set Required

Primary Skills (must have)

• 3+ Years of experience in

  advance quantitative analysis

  ,

  statistical modeling

  and

  Machine Learning.

• Ability to perform various analytical concepts like

  Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, 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

  )

Secondary Skills (desired)

• Technical expertise in Alteryx, Knime.