At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Assistant Manager Attribution & Insights 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Assistant Manager Attribution & Insights, are to: 

• Manage and utilize Bayer’s digital data architecture to drive enriched, actionable insights into the company's revenue attribution models;
• Distill insights from marketing measurement models (MMM MTA) into clear actionable insights for senior stakeholders along with planning/activation teams;
• Help champion use of advanced analytics within everyday media planning processes;
• Manage strategic partnership programs (MMM MTA) to ensure Bayer is maximizing output from said relationships in both the production of learnings, budget management, and contributing to a division wide lessons learned program;
• Help diagnose business needs and questions into action items that can be measured through modeling framework;
• Possess superior organizational skills to memorialize methodological nuances to various measurement tools. This includes having previous expertise in mix modeling and/or multi touch attribution measurement techniques.
• Contribute to the ongoing evolution of the Bayer measurement framework and engagement model for the ability to benchmark performance and provide context around channel performance;
• Provide thought leadership related to new advances in digital measurement and how they can improve or support existing, manual or semi-automated processes with the infusion of technology. This includes the ability to write concise POV’s s that can be circulated to multiple levels or internal stakeholders;
• Collaborate on the establishment of enterprise digital standards and analytic best practices to ensure optimal channel activation and any recommended optimization based on greatest impact.

Visa sponsorship is available.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bacholer's degree;

• Working knowledge of media planning and activation with a digital focus;

• Experience working independently on analytical tasks to build a story;

• Comfortable working with a team developing and presenting presentations using insights derived from analytics;

• An understanding of how to use data to solve complex business questions and drive business solutions;

• Proficient working knowledge in Microsoft PowerPoint and Excel;

• Understanding of marketing clouds and digital data technologies (DMPs, Google 360 Suite, digital pixel tracking, site tagging, etc.);

• Structured thinker and clear in verbal and written communication, concise and on point when answering and asking questions;

• Prior experience in setting direction and engaging with strategy/analytics agencies, technical suppliers, and providers of analytic services;

• Strong verbal and written communication and the ability to communicate highly complex ideas in a simple effective manner;

• Demonstrated ability to manage and influence change.

Preferred Qualifications:

• Bachelors with 4-6 years in Marketing analytics, preferably with MMM and/or MTA.

Employees can expect to be paid a salary between $83,000.00 to $122,000.  Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..  This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.