EcommerceAnalytics Manager Permanent/FTE Role Hybrid Schedule (WFH/Onsite) Locations: Chicago IL, Boston MA, Salisbury NC Job Description:
This role will lead a team of analysts from Ecom Fulfillment Strategy and Services across each Brand along with Operations, Last Mile and Customer Care Insights in their mission to deliver a superior understanding (competitive advantage) of our customers, operational performance and quality; includes any other insights that support informed decision making for fact-based analysis. This role will partner with the Lead of Fulfillment Planning and Services to champion the entire suite of applications, dashboards and reporting for ecommerce across the entire business. This role will lead the development and establish forums across PDL, RBS and Brands to provide operational and customer facing insights that lead to best in class benchmarking and actions for all ecommerce leadership. This position will lead the team who conduct in-depth analytics, ad hoc and advanced analytic analyses often synthesizing multiple data sources and provide objective interpretation of this information considering their overall knowledge of the business and consumers. These positions mine, merge, and manipulate multiple data sources including the Peapod Digital Labs data warehouse, PowerBI, AUSA CDW/IDW/EDW, EYC/IRI, Microstrategy, Third Party Data Sources (e.g. Instacart, Deliv, Shipt, etc.) and primary research survey data. This team is responsible for preparing, summarizing and interpreting data assuring the quality and integrity of their work. This team leader will have the ability to efficiently scope and prioritize requests from PDL, RBS and each Brand and manage the development and production of the insights from inception to final deliverables. Overall data quality of reporting will be a key part of this role to ensure high quality and trusted output for each Brand customer
Principle Duties and Function
Champion the end-to-end suite of Ecom Fulfillment Planning and Services producing value added insights that inform Brands on both service and operational opportunities to improve overall ecommerce services.
Co-lead forums with each Brand to provide macro and micro reporting trends and insights that support continuous improvement across ecommerce.
Lead a team of system analysts to support the development and prioritization of production reporting, ad hoc requests and any other reporting needs.
Develop partnerships within Dipla, RBS, Third Parties and Brands to serve as the primary contact to advance Ecom Fulfillment analytics across all stakeholders.
Participate on key strategic initiatives to scope and support the measurement and monitoring of project goals and objectives.
Manage and design end-to-end suite of Ecommerce Fulfillment reporting tools that monitor key performance indicators and trigger actions to reinforce or redirect the measures of success.
Partner with PDL/Brand/RBS teams to determine business objectives, key drivers of the success measures and identify KPIs to collect and measure.
Create simple and meaningful insights for each Brand to review and monitor areas to improve performance of Fulfillment and Customer Service performance. o Responsible for timely execution of entire ecommerce reporting suite; inclusive of data quality and other support areas required to share accurate and timely information to PDL, RBS and each Brand.
Responsible for timely execution of entire ecommerce reporting suite; inclusive of data quality and other support areas required to share accurate and timely information to PDL, RBS and each Brand. o Establish clear reporting links to third parties (e.g. Shipt, Instacart) so that reporting and insights are fully integrated into the overall Fulfillment reporting suite.
Continually assess the utility of ongoing reporting to optimize the set of reports used for business measurement. - Conduct both routine and complex analyses using all available data sources and market intelligence to answer specific business questions.
Measure the impact of major programs/initiatives on consumer behavior and perceptions, the response to varieties of digital experience testing, updating and explaining business results, uncovering cause/effect relationships, and understanding relative returns on investments.
Development of forecasting models to predict the impact of potential actions or programs being considered.
Determine of relevant data sources applicable to the business question and diligently verify the data quality and accuracy of the results. - Represent Consumer and Market Insights across the organization through presentations, consultation, and participation in cross-functional teams.
Develop strong PDL/Brand/RBS relationships that enable learning about the business and how their work directly impacts decisions. For specific projects, draw out critical information that impacts the learning objectives and incorporate into all work.
Stay current on new analytical approaches, new technologies and new tools. o Establish communication forums to share service and operational results with Brand Ecom leadership to drive continuous improvement. - Structure, build and maintain consumer and business intelligence databases
Assist in building and maintaining databases enabling more efficient and effective analyses for many other Analysts and Insights Leads and assure consistency of information used across functions (e.g. Power BI)
Identification of additional data requirements and partner with the database administrators to collect and organize new data elements.
Maintain proficiency with major business systems and the data on which it relies, including (but not limited to): Data Warehouse, Manhattan's SCI, Weblogs (User, Client and API logs), Google Analytics, AUSA CDW, and EYC.
This leader should have exposure to and some experience in a variety of Advanced Analytical tools/methods/knowledge (Inc. Tools such as very advanced Excel, SQL, OLAP functions, statistical packages (preferably SAS or R), etc.); Methods/Knowledge such as test-control/experimental design, regression (Inc. multivariate), data modeling techniques, cluster and factor analysis, etc.).
Construct algorithms and measure performance of models in applications such as search optimization, product recommendations, and marketing offer optimization.
Develop and test predictive models by designing data experiments
Manipulate and prepare data for optimal use within model
Experience with Advanced Analytics or Primary Research methods and tools. Can work with considerable independence.
Advanced knowledge and experience with various methodologies and data sources used in a consumer insights environment. Ability to analyze data, employing statistical concepts, and present recommendations based on that data. - SQL Proficiency, Database Structure knowledge (Relational, Columnar, Hadoop)
Proven Leadership managing direct reporting within System Analytics
Ability to take complex data and create strong and influential visuals as end state deliverables
Strong Oral/written communication
Initiative, strong negotiation, attention to detail and customer focus
Expert writing and presentation skills
Bachelor's Degree - Computer Science
5 - 10 years within Analytics Team (Online/Grocery Industry Preferred)
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