Chicago Cubs - Analyst, Database Marketing

paid / Chicago, IL / full-time


JOB TITLE: Database Marketing Analyst
DEPARTMENT: Analytics
REPORTS TO: Director, Strategy & Analytics

ROLE

This newly created Database Marketing Analyst role will be primarily focused on leveraging the hordes of data we have captured to drive value out of the Cubs data warehouse and ancillary data sources. This role will be integral in identifying high value prospects and executing targeted marketing campaigns. This role reports to the Director, Strategy & Analytics and will require deep collaboration with Cubs Marketing, Ticketing and IT colleagues to be successful.

RESPONSIBILITIES

  • Build and maintain machine learning models to quantify customer likelihood-to-purchase, matching customers with unique product offerings

  • Drive analytical projects across our owned & paid media optimization, targeting and campaign strategies

  • Provide thought leadership on building best-in-class customer journeys and collaborate with Marketing team to execute

  • Own the test and learn process for executing targeted marketing campaigns, analyzing and synthesizing results for key stakeholders

  • 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

  • Identify and curate high value leads for Sales and Marketing teams

  • Support ad-hoc analytical requests from across organization

REQUIRED QUALIFICATIONS:

  • 4 – 7 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

  • Strong functional mastery of SQL, R and/or Python to extract and merge data and execute statistical analysis

  • 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

  • Experience using a Customer Data Platform and experience creating marketing campaigns in enterprise-level marketing automation platforms

PREFERRED QUALIFICATIONS:

  • Experience building and deploying machine learning models into a production environment

  • Experience with key data tools within Cubs organization including Snowflake, Google Cloud Computing Services, Adobe Experience Cloud and Salesforce CRM

  • Professional “get it done” attitude and work ethic with strong interpersonal skills to facilitate interactions with colleagues across organization


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