Vacancy expired!
Company Description
Epsilon is the leader in outcome-based marketing. We enable marketing that's built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon's award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world's top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world. For more information, visit epsilon.com. Follow us on Twitter at @EpsilonMktg.Job DescriptionSummary:Automotive Analytics partners with internal and external clients and data providers, leveraging advanced statistical and data management techniques to drive strategic thought and effective decision making. The Senior Manager, Analytics manages marketing business intelligence and data management/governance initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives.Responsibilities:- Assist with the development of innovative plans for addressing key areas of data management and governance improvements.
- Account for the overall management of analytic projects; including timeliness, quality, and client value
- Manage junior resource(s), who would be collaborating with internal and external stakeholders to manage data logistics, including data transfers, understanding data structures and data flows, business rules, etc. to enable project execution
- QA/QC data and report output to ensure accuracy
- Collaborate with leadership to devise strategic direction, and conduct analysis by qualitatively and/or quantitatively analyzing data/information
- Prepare reports, programs and other key deliverables that uncover insights for developing business recommendations, based on data findings
- Present reports to key internal and external stakeholders, effectively communicating the key findings and recommendations
- Manage multiple projects concurrently to ensure successful completion of analytic projects
- Manage and mentor junior staff members and project team colleagues
- Create compelling presentations that provide actionable insights and recommendations
- Participate in the sales process helping to craft proposals that meet client needs
- Prioritize and monitor project progress against goals; tracking budgeted hours
- Bachelor's degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics)
- 5+ years of experience in marketing analytics field
- Proficient in SAS and/or SQL; minimum 5 years of experience
- Team player with the ability to mentor and manage junior resources
- Proficient in Microsoft Office Suite; including PowerPoint, Word, Excel and Outlook
- Solid planning, priority setting, and project management skills with experience managing multiple projects and resources concurrently
- Excellent verbal and written communication skills and good at developing relationships across cross-functional teams (including statistical, technical, and marketing resources)
- Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables
- Highly motivated and collaborative
- Strong technical skills
- Acute attention to detail (QA/QC)
- Effective organization and time management skills
- Professional judgment
- Experience mentoring or managing direct report(s)
- Auto industry marketing experience/knowledge
- Proficient with business visualization tools (e.g. interactive dashboard software, i.e. Tableau)
- Basic understanding of statistical approaches such as logistic regression, decision trees, and data sampling.
Vacancy expired!