Marketing Analytics Manager
Job Description
RaceTrac Company Overview
Job Description:
The Marketing Analytics Manager is responsible for delivering and leading the team in areas of data analysis, reporting, visualization, and insight generation to improve marketing and business outcomes. They will lead the development of test and learn strategies, measurement frameworks, and optimization plans relating to all marketing efforts including products, promotion, partnerships, personalization, and localization strategies. They will partner with the audience lead and media team to ensure data science deliverables such as segmentation and MMM are actionable and can be implemented. This role works closely with the brand, partnerships, loyalty, digital, and customer experience teams.
Responsibilities:
Qualifications:
Job Description:
The Marketing Analytics Manager is responsible for delivering and leading the team in areas of data analysis, reporting, visualization, and insight generation to improve marketing and business outcomes. They will lead the development of test and learn strategies, measurement frameworks, and optimization plans relating to all marketing efforts including products, promotion, partnerships, personalization, and localization strategies. They will partner with the audience lead and media team to ensure data science deliverables such as segmentation and MMM are actionable and can be implemented. This role works closely with the brand, partnerships, loyalty, digital, and customer experience teams.
Responsibilities:
- Uses statistical modeling techniques to analyze performance of marketing initiatives and to forecast potential performance based on business, industry, and marketing variables, including multi-touch attribution, marketing effectiveness, marketing mix modeling, etc.
- Understands RaceTrac's current business performance in order to develop strategies and recommendations to inform future marketing initiatives, through offer forecasting, campaign and product benchmarking, loyalty program measurement, etc.
- Coordinates with key stakeholders, vendors, and internal analytics teams to ensure data sources are properly linked, structured, and maintained to support marketing and sales analyses.
- Develops, executes, and delivers ad-hoc reports and analyses based on marketing and business requirements, such as promotional opportunities, loyalty initiatives, product tests, and integrated marketing campaign reporting.
- Develops best-in-class marketing analytics processes, including techniques such as reporting automation, data mining, etc.; and recommends ongoing testing and learning strategies for marketing and business efforts.
- Proactively collaborates with key stakeholders in marketing, business analytics, business intelligence, finance, IT, user experience, special projects, merchandising, R&D, and consumer insights to ensure business needs are properly prioritized and satisfied.
- Creates presentations with actionable findings, insights, and recommendations to all levels of the organization
- Develops and manages marketing analytics analysts.
Qualifications:
- Bachelor's degree from a 4-year College or University (preferably in engineering, math, science, statistics, business analytics, or marketing).
- 5+ years' experience in a marketing analytics/data scientist role (retail or QSR industry experience preferred). Loyalty program experience a plus.
- Experience giving feedback and coaching at various levels of experience
- Experience with digital analytics tools such as Google Analytics, Omniture/Adobe, Marketo, HubSpot, or similar web analytics tools
- High level of competence in relational data and master data management using such as R, SQL, etc.
- Advanced understanding of using data visualization tools, such as Business Objects, Tableau, Power BI, etc., and building reporting dashboards using these tools
- Experience using point-of-sale syndicated data sources, such as Nielsen, IRI, etc.
- Ability to translate complex mathematical concepts to less data-savvy stakeholders
- Ability to lead and execute core analytics methodologies (regression analysis, factor analysis, decision trees, cluster analysis, etc.)
- Self-starter with strong leadership capability and ability to work well cross-functionally. Aptitude to train internal stakeholders on how to use and understand a variety of analytics tools.
Date Posted
08/13/2022
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