Synergetics
Overview
We are seeking a skilled and results‑driven Director of Marketing Analytics to lead our marketing analytics strategy. This role will oversee the development and execution of advanced analytical frameworks, including Marketing Mix Modeling (MMM), marketing campaign analytics and omnichannel orchestration to drive strategic decision‑making and optimize marketing investments. The Director will serve as a key thought leader, partnering with cross‑functional teams to deliver actionable insights that enhance ROI and accelerate business growth. Key Responsibilities
Marketing Mix Modeling and optimization: Design and operationalize MMM to measure channel impact on leads and priority KPIs; translate rigorous statistical findings into budget optimization plans, and scenario guidance. Use model outputs to recommend adjustments and improvements to marketing strategies. Campaign Analytics: Manage Marketing Tactic measurement framework. These involve Test & Learns, Pilots, Brand Lift, A/B testing, etc. AI-Enabled Analytics: Bring GenAI and ML solutions into the workflow where they add real value — whether that’s automating Omnichannel orchestration tasks, running predictive models, or enabling self‑serve analytics for marketers. Stakeholder Management: Work closely with media, strategy, and Brand teams to understand business objectives and align analytical approaches with strategic goals. Participate in meetings to discuss insights and drive data‑driven decision‑making. Vendor Management: Lead NPP Data science team and work closely with IM team to manage Campaign analytics data from diverse sources, including promotional tactic data from Consumer and Health care professionals. Employ statistical software and programming languages (e.g., R, Python) to conduct rigorous analysis and present findings. Reporting & Visualization: Collaborate with the COE (Center of Excellence) team to manage the Marketing 360 dashboard, creating visualizations that effectively present complex analytical insights in a clear and actionable way. Provide regular updates to Omnichannel Brand leads on the performance of marketing tactics and key support initiatives they oversee. Research & Innovation: Stay current with industry trends and emerging technologies, and best practices in Decision science space. Propose and implement innovative techniques to enhance analytical capabilities. Qualifications
Education: Master’s degree in Statistics, Data Science, Economics, Marketing, or a related field. Experience: 9+ years of experience in data analysis with a focus on marketing mix modeling or related fields. Demonstrated expertise in using statistical methods and tools to drive marketing insights. Bayesian methodologies are a plus. Technical Skills: Proficiency in statistical software and programming languages such as Python, R, SAS, or MATLAB. Experience with data visualization tools like Power BI is a plus. Analytical Skills: Strong analytical and problem‑solving abilities with a solid understanding of statistical modeling techniques and their application in marketing. Communication: Excellent verbal and written communication skills with the ability to present complex data findings to non‑technical stakeholders in a clear and engaging manner. Attention to Detail: Meticulous attention to detail with a strong focus on data accuracy and integrity. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast‑paced environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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We are seeking a skilled and results‑driven Director of Marketing Analytics to lead our marketing analytics strategy. This role will oversee the development and execution of advanced analytical frameworks, including Marketing Mix Modeling (MMM), marketing campaign analytics and omnichannel orchestration to drive strategic decision‑making and optimize marketing investments. The Director will serve as a key thought leader, partnering with cross‑functional teams to deliver actionable insights that enhance ROI and accelerate business growth. Key Responsibilities
Marketing Mix Modeling and optimization: Design and operationalize MMM to measure channel impact on leads and priority KPIs; translate rigorous statistical findings into budget optimization plans, and scenario guidance. Use model outputs to recommend adjustments and improvements to marketing strategies. Campaign Analytics: Manage Marketing Tactic measurement framework. These involve Test & Learns, Pilots, Brand Lift, A/B testing, etc. AI-Enabled Analytics: Bring GenAI and ML solutions into the workflow where they add real value — whether that’s automating Omnichannel orchestration tasks, running predictive models, or enabling self‑serve analytics for marketers. Stakeholder Management: Work closely with media, strategy, and Brand teams to understand business objectives and align analytical approaches with strategic goals. Participate in meetings to discuss insights and drive data‑driven decision‑making. Vendor Management: Lead NPP Data science team and work closely with IM team to manage Campaign analytics data from diverse sources, including promotional tactic data from Consumer and Health care professionals. Employ statistical software and programming languages (e.g., R, Python) to conduct rigorous analysis and present findings. Reporting & Visualization: Collaborate with the COE (Center of Excellence) team to manage the Marketing 360 dashboard, creating visualizations that effectively present complex analytical insights in a clear and actionable way. Provide regular updates to Omnichannel Brand leads on the performance of marketing tactics and key support initiatives they oversee. Research & Innovation: Stay current with industry trends and emerging technologies, and best practices in Decision science space. Propose and implement innovative techniques to enhance analytical capabilities. Qualifications
Education: Master’s degree in Statistics, Data Science, Economics, Marketing, or a related field. Experience: 9+ years of experience in data analysis with a focus on marketing mix modeling or related fields. Demonstrated expertise in using statistical methods and tools to drive marketing insights. Bayesian methodologies are a plus. Technical Skills: Proficiency in statistical software and programming languages such as Python, R, SAS, or MATLAB. Experience with data visualization tools like Power BI is a plus. Analytical Skills: Strong analytical and problem‑solving abilities with a solid understanding of statistical modeling techniques and their application in marketing. Communication: Excellent verbal and written communication skills with the ability to present complex data findings to non‑technical stakeholders in a clear and engaging manner. Attention to Detail: Meticulous attention to detail with a strong focus on data accuracy and integrity. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast‑paced environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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