Lead, Omnichannel Analytics

Lead, Omnichannel Analytics

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians.  If you want to be part of this exciting work, you belong at Astellas

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at

Purpose & Scope:

The Lead, Omnichannel Analytics (OCA) plays a critical role in providing valuable strategic and tactical business insight and recommendations to Marketing, Agencies and Omnichannel Strategy & Operations (OSO) teams to support achievement of brand promotional and campaign objectives.  This role will be responsible for leveraging data to drive insights, optimize customer experiences, and contribute to the overall success of our omnichannel initiatives. This position will be leading our Next Bext Action initiative, which will include analyzing and measuring the promotional effectiveness of omnichannel activities and building recommendation systems using predictive models.

This position will work collaboratively with partners such as global/regional commercial brand teams/marketing, global/regional Commercial Insights teams, Omnichannel Strategy & Operations, Data Governance and Information Systems team and will contribute to data/metrics harmonization and insights sharing.

Responsibilities:

• Collaborate with key brand stakeholders and cross-functional teams to understand business objectives and measurability of campaigns and develop data-driven strategies to enhance the omnichannel experience.
• Provide consulting to the key stakeholders in the campaign design/requirements gathering phase to ensure objectives are clearly defined and can be measured, content assets are properly tagged, and the campaign data is properly sourced to ensure integrity of the measurement.
• Provide actionable insights through on-going reporting of all omnichannel engagements and digital tactics, including personal and non-personal promotions.
• Develop and implement machine learning algorithms to drive personalized recommendations and targeted marketing campaigns across channels based on individual preferences and behaviors.
• Conduct in-depth analysis of various data sources (promotional and non-promotional data) and develop predictive models to forecast HCP preferences, behavior, and overall omnichannel engagement.
• Work with various cross-functional teams (Marketing, Media Agencies, IS and Data Engineering) to integrate and consolidate all promotional data from various sources, ensuring a unified view of customer interactions and transactions.
• Troubleshoot data quality issues and implement solutions to maintain accurate and reliable data.
• Develop and implement key performance indicators (KPIs) to measure the effectiveness of omnichannel initiatives.
• Develop and implement analytics plans to support brand and portfolio level ROI optimization.
• Be a thought leader within the organization for omnichannel analytics by proposing and implementing innovative approaches to enhance the effectiveness of omnichannel data analytics.
• Stay abreast of industry trends, emerging technologies, and best practices in data science and omnichannel strategies.
• Manage third party providers on an as-needed basis and ensure deliverables fully meet contractual obligations and are of highest caliber.
• Embed an Ethics and Compliance culture and Integrity in Action by proactively addressing non-compliance.

Qualifications Required:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Minimum 8 years of analytics/data science experience with a focus on omnichannel analytics and demonstrated success in managing projects of increasing size and complexity.
• Possess strong interpersonal skills with the ability to effectively interact with all levels of employees including senior management.
• Extensive proficiency with software in a Windows environment required including Microsoft Excel and PowerPoint.
• Strong proficiency in coding language. (e.g. SQL, R and/or Python.)
• Expertise in machine learning techniques, statistical analysis, and data visualization, including classification models, promotion response modeling, predictive modeling, etc.
• Working knowledge of omnichannel concepts and data sources, e.g., impressions/click data, web data, etc.
• Experience working with Google Analytics or Adobe Analytics.
• Excellent skills in the following areas: organization, written and verbal communication, accuracy and personal initiative.
• Excellent organizational, planning and project management skills with a strong attention to detail and ability to effectively manage cross-functional projects.
• Ability to work independently in a dynamic fast-paced environment, with minimal supervision.
• Demonstrated ability in taking initiative to proactively evaluate existing sales strategies and recommend changes, when appropriate.
• Keen analytical mind with superior problem solving and technical skills, reflecting in-depth knowledge of various secondary databases and their limitations.

Preferred Skills:

• Pharmaceutical industry experience.
• General understanding of other Commercial Insights functions (i.e., primary/secondary market research, forecasting, competitive intelligence.)
• Working knowledge of one or more data visualization tools such as Excel, QlikView and QlikSense.
• People leadership experience.
• Experience working with global partners.
• Knowledge of the global healthcare landscape including different access models.
• Knowledge of other healthcare data sources such as patient-level data.

Working Environment:

• This position is a hybrid position that allows flexible work as determined by the department or division.
• At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.

Salary Range: $144,000-$194,000 CAD annually per year (final compensation will be determined based on a variety of factors, including but not limited to proficiency levels and organizational equity considerations)

*The salary range provided applies to Canada only and does not apply to any other locations outside of Canada.

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