Sr Analyst, DACI Analytics - Commerce Platforms Analytics

OverviewWe are looking for a highly motivated, execution driven Senior Analyst to join the Lowe's Commerce Platform analytics team. The Commerce platform analytics team derives insights from online customer behavior to help drive the roadmaps of enterprise search, recommendations, and personalization teams. Your work will help millions of home improvement customers search and discover the best products that satisfy their information needs from our catalog of millions of items. You will work in close collaboration with a high performing team of data scientists, and product managers to build best-in-class data driven and data informed search, recommendations, and personalization experiences.ABOUT THE JOB

• Generate insights from large scale data sources such as clickstream, sales, product catalog, and customer databases to derive business insights and recommendations.
• KPI reporting & monitoring - communicate key metrics and reports to cross-functional stakeholders across the organization
• Exploratory data analysis to generate new insights & inform product roadmaps.
• Develop data visualizations, including reports, dashboards, and analyses in an easily digestible manner.

• Are a strong communicator who can collaborate with diverse stakeholders across all levels
• 3+ years of work experience in a relevant field.
• Prior Analytics or Data Science experience in the e-commerce domain is a strong plus.
• In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing), Hive, and Spark/ Pyspark required.
• In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required.
• Prior experience with Adobe Clickstream data analysis
• B.Sc./ B. Tech. (required), M.S. (preferred) in Computer Science/ Analytics

• Utilizes a depth of knowledge of how to best leverage disparate data sources, relevant external data and strong domain expertise, in order to deliver on a need of the business
• Provides technical skills to analytics projects, performing more advanced project analysis and data modeling, ultimately ensuring that the final deliverable is high-quality and provides impactful insights
• Translates a business question into an analytical model that can be utilized and executed by the business; Collects, cleans, transforms, and restructures data for statistical analysis; performs statistical summaries and tests for relevant business questions
• Serves as an analytical subject-matter expert for others on the analytical team, working with leading analytics and data modeling tools in order to drive the business of the Lowe's organization; Communicates analyses and insights to leaders by summarizing conclusions and solutions; translates analytics and statistics into clear, understandable themes for business leaders; identifies specific analytic results that drive actionable insights
• Performs operational or customer behavior modeling and analysis in order to provide quality insights
• Creates analytic solutions by exploring innovative data and techniques; conducts exploratory data analysis and modeling
• Builds predictive and prescriptive models supporting a vast array of customer and business scenarios; performs statistical tests to enhance the predictability of models
• Maintains consistency in analytic practices by brainstorming and partnering with other areas within the broader DACI organization
• Responsible for continuously learning and sharing analytic methodology and techniques new to Lowe's
• Develops solid hypotheses, in collaboration with business partners, on how value can be created; builds analytical models, analyses, or tests to validate/disprove these hypotheses and develops actionable recommendations for the business
• Track measures of success and develop dashboard reports that measure customer and operational metrics for one or more of Lowe's operations, driving actionable insights
• Translates project requirements into analytical problem(s), sometimes partnering with more junior level analysts, asking the right questions and validating understanding of requirements with manager or more senior level analysts
• Contributes to or builds project plans, ensuring clear understanding of project requirements and timeline; provides guidance to more junior level analysts and communicates project timelines, scope and expectations to stakeholders
• Gathers and assimilates information/data, sometimes in partnership with more junior level analysts, using known tools, techniques, methods and models to ensure an accurate and concise output summarizing findings; discusses analysis and findings with the team before delivering to stakeholders
• Offers insight and recommendations based on the data analysis for review by more senior level analysts; discusses and incorporates ideas from more junior level analysts
• Maintains updated knowledge of evolving technology and methods that can be used for effective data analysis
• Provides input into the framework for measuring impact of the data analytics function; participates in discussions of impact with stakeholders after projects

• Bachelor's Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 3 years of related experience

• Master's Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1 year of related experience

• 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
• 1 year of experience working with Enterprise level databases (e.g., Hadoop, Teradata, Aster, Google Cloud Platform, Azure, Oracle, DB2)
• 2 years of experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
• 1 year of Functional experience performing predictive analytics at a large scale enterprise