{"id":4345686,"url":"https://alion.io/job/lowes-senior-analyst-pricing-analytics","title":"Senior Analyst, Pricing Analytics","company":{"id":1753694,"name":"Lowe's","domain":"lowes.com","url":"https://alion.io/company/lowes-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":4,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Alteryx","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Db2","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Teradata","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T21:41:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Innovate in Bengaluru\nThis position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience.\nAbout Lowe’s\nLowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, 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, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.\nLowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India\nAbout the Team\nThe Pricing Analytics team assists pricing managers and merchants in defining and optimizing pricing strategies for different product categories across various channels. The team uses advanced analytics to forecast and measure the impact of pricing decisions, develop strategic price zones, recommend price adjustments, and identify sales and margin opportunities to help achieve company targets.\nJob Summary\nThe primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements. 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. \nThe analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate with product and business team, incorporating feedback through out the development to drive continuous improvement and ensure a best-in-class position in the pricing space.\nRoles & Responsibilities\nCore Responsibilities\nTranslate pricing strategy and business objectives into analytics requirements. \nDevelop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources.\nConduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.\nResearch, design, and implement relevant statistical and machine learning models to solve specific business problems.\nEnsure the accuracy of data science and machine learning model results and build trust in their reliability.\nApply machine learning model outcomes to relevant business use cases.\nAssist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.\nPerform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data.\nCollaborate 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.\nAutomate routine manual processes to improve efficiency. \nYears of Experience \n3-6 years of relevant experience\nEducation Qualification & Certifications \nBachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math\nSkill Set Required \nPrimary Skills (must have)\n3+ Years of experience in advance quantitative analysis , statistical modeling and Machine Learning. \nAbility to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling. \n3+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management .\n3+ years’ experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS.\n3+ years’ experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2).\n3+ 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)\nSecondary Skills (desired) \nTechnical expertise in Alteryx, Knime\nLowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local 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