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.