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Our client is the most trusted provider of corporate food solutions. Their corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food-spend and fulfill everything from daily employee meals to client meetings and company all-hands. They back up this platform with business-grade, best-in-class, customer service and an unmatched nationwide footprint.

They are currently looking for an experienced Marketing Analytics Manager to join their rapidly growing Marketing Analytics team and play an important role in driving the insights that fuel their retention and customer segmentation strategy. Reporting to the Senior Manager of Marketing Analytics, this role is an integral part of the Marketing Operations team that enables and empowers the organization by driving the marketing strategies and advertising technology processes that create amazing customer experiences. The Retention Marketing Analytics Manager will also apply statistical and data science techniques to build a customer segmentation model and optimize our marketing mix for existing customers using SQL, Python or R.

This Marketing Analytics Manager will drive meaningful impact across their marketing programs and will have the ability to work with an advanced marketing and advertising technology stack. Data is at the root of every decision the company makes and is core to the success of their marketing team. If you are looking to create a retention strategy from the ground up, improve the way an organization measures customer retention, create more accurate attribution, forecasting and ROI models, help build a best-in-class loyalty program, test various customer segmentation models, and determine how they can prove their marketing programs are having an incremental impact on existing customer order activity, they would love to talk with you!

Responsibilities include:
Build data analytics models and processes to successfully drive customer retention initiatives: owning customer lifecycle marketing reporting and dashboards, using advanced quantitative techniques to increase LTV and reduce churn, and synthesizing insights that support executive-level strategic decisions to grow existing customer revenues

Analyze retention and Loyalty Program performance to identify growth opportunities and work with the various cross-functional teams to activate action plans that will lead to positive business impact on retention KPIs

Oversee, create, and enhance marketing reporting in Tableau and other data visualization tools to ensure business partners are empowered to make data-driven decisions with a positive impact on KPIs

Leverage statistical models to build customer personas, improve segmentation/targeting for personalization, and accurately attribute marketing dollars to existing customers (e.g. clustering, Markov, predictive ML, etc.)

Lead A/B experiments from the Data side by supporting experiment design, tracking, and implementation; with ownership over the final analysis that has a specific focus on driving incremental orders from existing customers

Mentor junior analysts and advance the innovation and improvement of our analytics techniques, approaches, and processes used across the company

Partner with senior leaders and key functional areas to develop metrics that accurately reflect retention performance and health of our strategies

Participate in important company planning by providing the forecasting and analysis to help stakeholders prioritize OKRs and Initiatives related to our important existing customer goals

Build a Retention framework and strategy that will be sustainable and will live in our growth plans and decision making long-term

Qualifications:
3-5+ years of experience in a relevant field, such as analytics or data science, performing quantitative and technical analysis, ideally with experience in marketing or e-commerce environments

Experience with retention marketing analytics methodologies and measuring the ROI and incremental impact of marketing spend on existing customers

Experience conducting quantitative analyses on large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI) preferred

Background working with campaign data across multiple media platforms and cloud data warehouses (e.g. Google CM360, GA4, Facebook, DSPs/ESPs, Snowflake, etc.) is a plus

Expert proficiency in SQL paired with experience in statistical modeling (R or Python preferred) and common data science approaches for customer segmentation (e.g. k-means clustering, random forest, RFM, etc.) across large data sets

Proficiency in Google Analytics, or other digital analytics platforms

Knowledge and interest in helping to build a best-in-class customer retention strategy and loyalty program

Excellent communication skills with a proven ability to tell a story with data to all levels of the organization

A passion for coordinating between multiple departments and maintaining relationships

Strong organization skills, time management skills, detail-oriented, and ability to multitask