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Job Description

As the Director of Omnichannel Analytics, you will be responsible for shaping our data analytics strategy, budget planning by therapy area, ensuring the appropriate integrated omnichannel promotion strategy, and collaborating with business unit teams to derive actionable insights to improve customer experiences and business outcomes. This position is a hybrid role which requires living in the Boston area and in the office a minimum of 3 days/week.

Key responsibilities will include and are not limited to the following:

Omnichannel Function Strategy and Leadership:

• Develop and execute a comprehensive omnichannel analytics strategy aligned with the company's sales and marketing objectives
• Collaborate with cross-functional teams with GIACO to align analytics efforts with business goals and strategies
• Identify scalable capabilities and resources for advanced analytics, insights, and automated recommendations

Budget Planning:

• Assess current and future omnichannel analytic needs, aligning them with business objectives, and prioritize initiatives for resource allocation
• Allocate resources for integrated promotion according to affinities and strategy by therapy area
• Establish mechanisms for budget monitoring, review spending vs. plan, evaluate ROI to align analytics initiatives with organizational goals

Integrated Promotion Planning:

• Analyze customer behavior and preferences to identify meaningful audience segments
• Utilize segmentation insights to personalize marketing content and recommendations
• Collaborate with sales and marketing teams to develop targeted strategies based on customer segments and generate strategy for integrated omnichannel promotion for execution
• Provide insights on optimizing marketing spend allocation across channels to maximize ROI

Performance Measurement and Reporting:

• Define key performance indicators (KPIs) to assess the effectiveness of omnichannel marketing campaigns
• Collect business stakeholder analytics and dashboard requirements to ensure omnichannel reporting dashboards and KPIs are meeting stated needs

• Develop and maintain comprehensive omnichannel reporting dashboards and KPIs
• Monitor and report on omnichannel engagement metrics to assess campaign performance and customer interactions
• Assess the effectiveness of campaigns using key performance indicators (KPIs) and attribution models
• Identify opportunities for campaign optimization and share insights with the marketing team

• Provide regular presentations with actionable recommendations to cross-functional and executive teams to optimize omnichannel campaign performance

Data Management:

• Responsible for all internal and external commercial data sources. Identify and evaluate third party data sources to identify most appropriate data required to support and inform commercial business decisions.
• Manage relationship with third party data vendors
• Establish quality standards for data collected internally and externally and ensure that those standards are continually being met

Required Skills:

• Proficient in digital media and customer analytics
• Experience measuring, mining, and generating insights from digital customer engagement data within all digital channels, including website, paid media, social media, and email campaign data sets
• Experience with approaches to testing platform effectiveness and media analytics/reporting
• Familiar with frequently used pharmaceutical data sources
• Extensive experience and knowledge of advanced Statistical models and methods, and Statistical Design of Experiments
• Deep expertise in at least one statistical analysis platform such as SAS, R, or Python
• Proficiency in data analytics tools and software, as well as a strong command of data visualization tools to present findings effectively
• Excellent communication, presentation, and external stakeholder engagement abilities

Qualifications:

Bachelor's and 10 years of experience with a minimum of 7 years of experience in fields such as digital analytics, business administration, statistics, data mining, applied mathematics, engineering, computer science, or related areas. Alternatively, qualification with a Bachelor's degree and a minimum of 10 years of experience in the mentioned fields. An advanced degree in a quantitative discipline such as Statistics, Analytics, Econometrics, or Mathematics is highly preferred.

• 7+ years of progressively advancing experience in a related industry is required; specifically, a minimum of 3 years of experience in the pharmaceutical or healthcare sectors
• Candidates who have demonstrated excellence in digital and data-focused insights and analytics roles within the retail, consumer packaged goods (CPG), or financial industries may also be considered.
• Extensive experience in pharmaceutical analytics, healthcare consultancy, or a related field
• Strong understanding of the life sciences industry
• Proven leadership and team management skills

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