Principle, Marketing Analytics

This role will represent the analytics capabilities of the marketing technology portfolio, answering questions, gathering stakeholder requirements, identifying, and documenting problems to be solved, making recommendations, and transforming business needs into analytics products and artifacts. From day one, this position will need to effectively balance day-to-day business needs with strategic initiatives, provide thought leadership, and manage the execution and delivery of campaign for the marketing function. This role will be the principal SME.

Reporting to the Director of Marketing Analytics, this position will play a meaningful high-visibility role to include defining priorities and streamlining the execution of program priorities while maintaining conceptual integrity of deliverables for the team. This role will implement rigorous campaign and financial analytics practices for future and ongoing growth across a multitude of internal and external partners. The Principal, Marketing Analytics will pave the way for others to join the team under your mentorship.

This is a senior, highly influential role that requires:

• A self-starter mindset without sacrificing the ability to be collaborative and work well intra and cross functionally.
• Ability to lead and influence a team by example and through mentorship:  You will not directly manage employees but will partner with your executive leader to influence team culture, sustainable engagement, and velocity.
• Commitment to partner with your executive leader to establish and drive a healthcare marketing analytics vision and roadmap that is best in industry.
• Experience delivering exceptional, sustainable results throughout their career; even through failure and mistakes. We are looking for a well-rounded, vulnerable, self-aware human who is comfortable talking about how their prior actions have led to impact in the short and long term and how they have learned from their mistakes along the way.
• Strong collaboration and skills of influence; ability to constructively provoke others to drive and manage change. Helpful, respectful, collaborative, yet disagreeable when appropriate.
• Innate knowledge of when to resist, when to take a loss, when to remain silent, when to escalate. Someone who thoughtfully adapts to drive towards the best outcome for both people and business.

• Own the media mix and attribution modeling techniques:  Set parameters, understand tradeoffs, and drive product maturation. Must have deep experience and understanding of advances in time-series regression and Markov chain or survival analysis. Extensive experience with testing, fractionalized models, and other business approaches for attribution.
• Responsible for how analytics systems and functions are defined and interconnected to ensure business, team, and program success.
• Responsibility for the lifecycle of analytics architecture, tools, and overall campaign measurement program (Test / Control, A/B testing, Modeling, etc.).
• Elicit, analyze, and communicate business requirements from multiple customers across disparate functions.
• Principal owner for documentation for analytics measurement and implementation processes. Develop and promote analytics standards and support the team in developing and maintaining them as the foundation for designing cohesive experiences.
• Combine disparate data from other functions into a cohesive story (testing, personalization, ad performance, CRM, clinical data, etc.).
• Actively seek out and piece together fragments of information: Extrapolating, recognizing patterns, and drawing conclusions from partial data. Think strategically but stay on top of tactical execution. This is a hands-on, in the data role.
• Design, drive, and exhibit significant influence over the operation and delivery of analytics throughout the enterprise. Exhibits influence over the program and department roadmap. Thoughtfully adapts to drive towards the best outcome for both people and business. Seeks win-win-win scenarios.
• Lead the creation and management of dashboards for trending campaign effectiveness, prospect engagement, funnel engagement and consumer value (by acquisition, retention, reactivation). Grow key metrics and reporting around recency, frequency, engagement, and lifetime value of the customer base.
• Serve as the SME for CRM, direct marketing measurement, and consumer analytics based on deep understanding and hands-on experience.
• Explain complex analytical and mathematical stories to non-technical stakeholders in an engaging and interactive manner.

• Excellent oral and written communication skills, with a special talent for communicating technical concepts to non-technical audiences in a manner that is engaging and effective. Story telling ability in this role is crucial.
• Ability to lead through influence.
• Ability to exercise sound judgment and make decisions based on accurate and timely analysis.
• Demonstrated time management and priority setting skills.
• Ability to simultaneously handle multiple priorities.
• Manipulation and analysis of large complex data sets.
• Experimental design (e.g.: A/B Testing).
• Deep knowledge of SQL or NoSQL databases.
• Intermediate to advanced knowledge of web languages (e.g.: Javascript, CSS, HTML).
• Write complex SQL and regular expression statements.
• Excellent collaboration skills; escalates when appropriate.

• Bachelor’s Degree Computer Science, Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science.
• 7 years’ Experience in statistical languages and tools (R, Python, SQL, Big Query).
• 7 years Data visualization tools (e.g.: Tableau, PowerBI).
• 7 years Web Analytics Tools (e.g.: Google Analytics, Adobe Analytics).
• 7 years’ Experience working with direct marketing response campaign analytics.
• 7 years’ Experience working with statistical models and advanced mathematical techniques.

• Master’s Degree Computer Science, Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science.
• 7 years’ Experience in database and cloud Environments (Snowflake, Azure, Databricks, Oracle, etc.).