164733: Senior Manager, Marketing Analytics

USC/ GC Only!

Candidate Details

7 to 10 years experience

Seniority Level - Mid-Senior

Management Experience Required - Yes

Minimum Education - Bachelor's Degree

Willingness to Travel - Never

Screening Questions

Do you have 2 years of people management experience?

Ideal Candidate

• Over the entire marketing analytics function supporting leaders in marketing (loyalty, paid media, promotions and brand)
• Completely new role
• Curious mindset to drive our business forward
• Must be a strong people manager, will have 2-3 direct reports
• Strong problem-solving skills and ability to direct others

Tools:

• SQL is critical for data
• PowerBi is a must
• R or Python would be a plus but not required
• Must have a digital analytics platform like Google or Adobe

Onsite: 3X a week in Atlanta, GA

The Senior Manager, Marketing Analytics 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. This individual will partner with various marketing and cross-functional teams to inform future marketing initiatives and strategies to drive overall marketing effectiveness.

Responsibilities:

• Teaches, mentors, leads, and manages technical development of analysts on day-to-day deliverables as well as development planning.
• Leverages understanding of RaceTrac’s current business performance to develop analytics solutions to inform marketing strategies and tactical optimization recommendations.
• Leads the marketing data strategy and 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 as well as larger RaceTrac data initiatives.
• Presents findings and strategic recommendations to all levels of the organization, effectively communicating complex data insights.
• 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.
• Manages Analytics vendors and partners to maximize RaceTrac investments to get the most impactful and efficient outcomes.
• Develops best-in-class marketing analytics processes and solutions, including techniques such as reporting automation, data mining, etc.; and recommends ongoing testing and learning strategies for marketing and business efforts.
• Continuously evaluates and enhances analytics processes and methodologies to improve efficiency and effectiveness.
• Partners with data science resources internally and externally 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.
• Supports digital initiatives with tagging, QA, UTM, and measurement best practices.

Qualifications:

Bachelor's degree from a 4-year College or University (preferably in engineering, math, science, statistics, business analytics, or marketing).

• 7 years’ experience in a marketing analytics role (retail or QSR industry experience preferred), with 2 years of management or leadership experience.
• Experience giving feedback and coaching direct reports 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 tools such as SQL, Databricks, Python, R, 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 teach, lead, and execute core analytics methodologies (regression analysis, factor analysis, decision trees, cluster analysis, etc.)

Security Clearance Required: No

Visa Candidate Considered: No

Compensation

Base Salary - USD $135,000 to $145,000