Insights and Analytics Senior Consultant

Vogelsang•Ravenna, OH

About The Position

Vogelsang USA is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our subsidiaries deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing. This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Vogelsang Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics. The team Vogelsang’s Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like campaign automation, Salesforce CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Requirements

5+ years of experience in managing digital marketing/advertising analytics, including marketing mix model and/or attribution solutions for complex, large-scale clients.
Bachelor's degree or equivalent professional experience.
Ability to travel 30%, on average, based on the work you do and the subsidiaries and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

Proficient in defining analytics, modeling, tagging strategies, and developing comprehensive measurement and testing plans.
Strong command over analytical methodologies for optimizing customer datasets and digital campaigns.
Advanced skills in Excel, SQL, Salesforce, or other data analysis tools, with a high level of competence in digital analytics and tag management solutions.
Exceptional project management skills, with a proven track record of managing work and meeting deadlines in a highly organized and autonomous manner.
Excellent communication, leadership, and team collaboration skills, coupled with a strong executive presence for client-facing interactions.

Responsibilities

Uncover client's key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of recommendations across paid, owned, and earned channels
Bring a strong background with proven experience in marketing, advertising and commerce analytics, audience discovery and segmentation, measurement, modeling strategy, and data quality
Bring extensive knowledge across paid, owned, and earned, with a focus of analytical expertise in one or more of the following: omnichannel, media (display, paid search, programmatic, paid social), organic social, social listening/trend identification, site, app, email/Push/SMS - CRM, or voice of the customer/brand studies
Dive into large datasets, uncovering insights, and providing impactful recommendations to clients leveraging tools like Google Analytics, DV360, Ads Data Hub, Adobe Analytics, Salesforce/SFMC and more
Transform data into actionable insights through strong storytelling with data designed for executive-level audiences by connecting the dots across channels through data to provide a holistic view of marketing/advertising/commerce efforts
Create dashboards via Tableau, Datorama, Data Studio, Looker, or other similar data visualization tools
Support the vision and creation of measurement plans, testing plans, tagging strategies, modeling strategy, and experimentation/A/B testing deployment