Oncology Omnichannel Analytics Partner

Astellas Pharma • Markham, York Region • 3d ago

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 www.astellas.com [http://www.astellas.com].

This position is based in Canada and will not require on-site work. However, there may be occasional travel to Northbrook office required.

Purpose:

The Omnichannel Analytics (OCA) Partner 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 play a key role in various Omnichannel analytics projects, which will analyze and measure the promotional effectiveness of omnichannel activities using advanced machine learning 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.

Essential Job Responsibilities:

Collaborate with key brand stakeholders and cross-functional teams to understand business objectives and campaign measurability and develop analytic plans to measure performance and inform data-driven strategies that 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.
Take ownership of ensuring all Omnichannel data, including personal and non-personal tactics, are integrated into the Astellas’ internal data warehouse, thoroughly quality-checked against media plans and spend, and validated for accuracy in collaboration with agency partners. Monitor data trends and anomalies to support validation efforts and proactively identify potential discrepancies.
Own the management of all non-personal target lists, including conducting analyses to evaluate and determine the inclusion of HCPs based on predefined criteria and strategic objectives. Ensure target lists are optimized and aligned with campaign goals.
Provide actionable insights through on-going reporting and ad hoc analyses 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.
Work closely with Media agency partners on performance reporting construct and media execution governance.
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 campaign, brand and portfolio level optimization.
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.

Quantitative Dimensions:

Quality of strategic and operational support for assigned products including quality of the collaboration with key partners and copromote partners were applicable.
Accuracy, timeliness, effectiveness, and ease of use of production and ad hoc performance reporting, dashboards, and advanced analytics.
Ability to meet/exceed established key milestones related to assigned major projects.
Quality/timeliness of insight generation and development of actionable recommendations based on feedback from key customers and cross-functional colleagues.
Management of projects within approved operating budget, with a focus on performing tasks internally whenever possible, rather than outsourcing or delegating to other internal resources.

Organizational Context:

Reports to the Director, Brand Analytics.
This position requires extensive collaboration across the global Commercial Insights GCA team. This role will also have broad global exposure as they partner with cross-functional colleagues (Marketing, Sales, Finance, Data Strategy/Data Engineering, Sales Operations (where applicable) and IS) within global functions and priority Commercial Divisions/markets. Additional collaboration is required with co-promotion partners (if applicable).

Qualifications

Qualifications Required:

Master’s in Data Science, Statistics, Computer Science, or a related field.
Minimum 6 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).
Proficiency in machine learning techniques, statistical analysis, and data visualization, including classification models, promotion response modeling, predictive modeling, etc.
Strong knowledge of omnichannel concepts and data sources, e.g., impressions/click data, web data, etc.
Strong understanding of digital marketing media and promotional tactics within Pharma space.
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:

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.
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.

Flexible grade level based on candidate background and skillset

Benefits:

Medical, Dental and Vision Insurance
Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
401(k) match and annual company contribution
Company paid life insurance
Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
Long Term Incentive Plan for eligible positions
Referral bonus program