Senior Analyst, Data Analytics

Senior Analyst, Data Analytics, Victoria’s Secret Stores Brand Management, LLC, Reynoldsburg, OH. Serve as an analytics expert for the Victoria's Secret & Co.’s Enterprise Analytics Department. Work independently, relying on their knowledge of our business and data to create analyses that give insight and direction to the business. Query, summarize, and interpret the customer purchase history, demographic data, web analytics, marketing data, etc. to answer business questions critical to executing programs and driving long term brand strategy. This role requires top level, polished communication to not only deliver data, but answer the business problem and give the data and analysis context. Well versed with analytics technologies and understand how analytics can be used to influence our business decisions. Design and perform analyses as a key business partner to our internal teams. SAS/SQL, Excel, R, Python, and digital analytics tools will be used daily. Responsible for leveraging multiple forms of data to analyze the efficacy of marketing initiatives, merchant assortments, and create prioritized, actionable recommendations.  For many business questions, it will be required to extract the information from the enterprise data-mart using SQL, transform and summarize that information with SQL/SAS, export and finalize the analysis within Excel then share and communicate the results via Excel, PowerPoint, email summarization, or in person. Serve as a senior contributor to a department and present findings directly to senior leaders across the organization and manage impactful projects driving millions of dollars in incremental sales. Present and defend your findings. Support customer marketing planning and hindsight activities on digital marketing, offers, email, and tests the business runs. Question the norms and elevate the value or processes behind their work. Produce easy-to-understand, error-free, timely deliverables with a focus on web analytics, marketing performance, cross channel, customer behavior, and margin rate optimization. Financial planning and results estimation (using analysis to inform the future impact of like promotional activity, customer behavior, cross category shopping, etc.). Identify business growth opportunities based on current digital, customer, and market trends. Make hard decisions and defend them.  Comparing nearly identical courses of action, identify potential pro/cons, create a POV on the method going forward, defend your choice to others and build support by bringing others to your side. Lead a segment of work to answer a critical business question by applying expertise of the business and system to (a) determine the set of metrics needed to answer the question, (b) the methods to pull and summarize that information (c) an analysis of the results + context, pulling out the insightful and impactful findings and (d) creation and presentation of your method and findings within a well-developed deck to senior leaders of the organization. Manage special projects or serve as a subject matter expert on project teams requiring customer data. Follow special projects through entire project lifecycle with participation in or leadership of planning, executing and closing of these initiatives. Identify white-space opportunities within our group and surrounding operations. Identify statistical methods and rigor that would incrementally improve our results and analysis. Create new processes that can be applied to our current deliverables and add value to the business. Remote Work Available. Telecommuting required – employee may live anywhere in the United States. 

Requirements Include: Bachelor’s degree in Information Technology, Computer Science, Data Analytics, or related field of study and four (4) years of experience as a Data Analyst, Data System Analyst, Data Scientist, or related role. Experience must include: 2 years of experience utilizing statistical concepts, including regression testing and significance testing; 2 years of experience managing multiple competing demands and projects and delivering against aggressive goals; 1 year of tactical and strategic experience with test design and execution as part of a testing and optimization program; 3 years of relational database analysis experience; 1 year of experience in Snowflake; 2 years of high-level programming experience with SQL and Python; and 1 year of marketing and/or retail business experience. Remote Work Available. Telecommuting required – employee may live anywhere in the United States. 

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance  

An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual’s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.