This newly created Assistant Director, Digital and Database Marketing role will be responsible for driving the organization’s digital marketing capabilities forward and operationalizing the data captured in the Cubs data warehouse. This role will be integral in driving efficiencies and unlocking value across all parts of the sales and retention lifecycle. Reporting to the Director, Strategy & Analytics, this role will require deep collaboration with Cubs Marketing, Ticketing and IT colleagues to be successful.
RESPONSIBILITIES
- Identify and develop high value customer segments via Cubs Customer Data Platform (CDP)
- Own the test and learn process for executing targeted marketing campaigns, analyzing and synthesizing results for key stakeholders
- Provide thought leadership on building best-in-class customer journeys and collaborate with Marketing team to execute
- Build and maintain analytical models to identify high value customers, i.e. those at risk of churning or strong candidates for upsells
- Inform organization’s paid media strategy, conducting analysis and developing metrics to track campaign spend
- Wrangle disparate datasets from across our data assets to develop a holistic understanding of our consumer, partner with IT team to operationalize these data feeds & pipelines
- Support ad-hoc analytical requests from across organization
REQUIRED QUALIFICATIONS
- 5 – 10 years’ experience in a quantitative, analytical or client-facing role centered on customer retention, personalization and campaign impact analysis
- Well versed in marketing techniques and metrics including cohort analysis, lifetime value analysis, customer acquisition costs and campaign optimization
- Bachelor’s or Master’s degree in business analytics, statistics, econometrics or related field
- Hands on experience and proficiency in omni-channel marketing automation
- Experience using a Customer Data Platform and experience creating marketing campaigns in enterprise-level marketing automation platforms
- Functional mastery of SQL, R and/or Python to extract and merge data and execute statistical analysis
PREFERRED QUALFICATIONS
- Experience with key data tools within Cubs organization including Snowflake, Google Cloud Computing Services, Adobe Experience Cloud and Salesforce CRM
- Technical background with hands on experience analyzing large datasets building predictive modeling, including linear and logistic regression, machine learning approaches and clustering or classification techniques
- Professional “get it done” attitude and work ethic with strong interpersonal skills to facilitate interactions with colleagues across organization