YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Associate Director Digital Data Specialist, are to: 

• Assist with digital data ingestion, data prep, QC and automation efforts across marketing vendors, channels and sources;
• Assist with creating, operationalizing, maintaining, and optimizing data ingestion processes;
• Collaborate and build working relationships with cross functional teams including IT, Analytics, Digital, and Brand teams;
• Support the develop and document business requirements for analytics and reporting needs;
• Support Franchises’ insight leads in developing overarching digital data strategy for Franchises’ to enable them to address key business questions and direct associated analytics and reporting;
• Identify IT, data governance, data management and data QC gaps and required changes needed to meet business objectives;
• Participate launch readiness data assessment and ongoing reassessment based on changing business needs;
• Support Franchises’ in locating and effectively using data sources required to meet objectives;
• Partner with Insight Teams to perform their required analytics by assisting them with their data access, data structure, data QC and business rule needs;
• Communication of data management and reporting updates;
• Organize / facilitate data and reporting tool training;
• Support Franchises to develop appropriate KPI’s to measure their business;
• Support documenting, processing and implementing relevant business KPIs Data Quality;
• Profile, monitor and report on data quality and execute data quality corrective action;
• Assist with the Develop/Implement reporting rules and processes;
• Support Visualization and Reporting Specialist to implement relevant KPI reporting;
• Support budget development regarding data sources;
• Identify overlaps in data sources to ensure overall efficiency;
• Work with business and insights teams to identify business use cases for Data Acquisition;
• Collaborate with Data Acquisition to identify new, innovative data sources and opportunities;
• Work with Data Acquisition to complete the onboarding of data sources;
• Become fluent with Franchise data as a foundation for reports and analytics;
• Assist in identifying potential new reports / analytics and end user requirements;
• Execute proof of concept mini initiatives, in close collaboration with the analytics team as appropriate;
• Participate in formulating Franchise data strategy;
• Assist with providing guidelines and principles for consistent and compliant data interactions across systems/functions;
• Leverage knowledge of internal data capabilities and external data landscape to ensure nimble commercial decision-making for launches and established products;
• Assist with translating business objectives into data needs;
• Monitor data quality and reinforce accountability of internal partners and external providers.

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:

• Bachelor’s degree with at least five years of overall experience;
• Experience working within the U.S. Pharma industry, developing centralized data strategies;
• Experience operating in an API-based data exchange environment related to media data;
• Experience and Understanding of marketing data, especially digital tactics (SEM, Display, Online Video, FEP, Email, Social etc.);
• Working knowledge of Google Big Query, Search Ads 360, Campaign Manager, DV360, GA360;
• Stay up to date with digital technology and online learning developments;
• Understand digital marketing communications and cross-channel activities including paid and earned search, Pay Per Click (PPC), Search Engine Optimization (SEO)/Search Engine Marketing (SEM), advertising campaigns and online promotions;
• Experience with data visualization tools, programming, and strong SQL capabilities and translate the logic in plain English to nontechnical people;
• Experience with web analytics data (Adobe Analytics, Google Analytics), Digital Marketing Platforms (DMP), AWS and Snowflake;
• Ability to quickly build relationships and operate in teams;
• Strong problem-solving skills, actively participating in brainstorming, identifying core issues and structuring problems;
• Ability to consolidate disparate business requirements into clear, concise documentation;
• Knowledge of cloud based, big data technologies;
• Good understanding of data warehouse, data architecture and data modeling concept;
• Excellent interpersonal and communication skills, able to communicate with team on data challenges, issues and able to work with offshore team to educate them;
• Able to communicate effectively with developers, data management and business teams;
• Able to work independently and figure out the data model;
• Strong analytical skills to troubleshoot issues and to determine data caveats and uses.

Preferred Qualifications:

• M.B.A or Master’s degree.