US Medical Digital Engagement & Insights, Data Analyst

Takeda Pharmaceutical Company • Lexington, MA

271d • $150,500 - $236,500

About The Position

At Takeda, we share the belief that the speed of change will never be as slow as it is today. Takeda is uniquely positioned to participate in digital disruption rather than simply react. If you are passionate about helping organizations transform and build innovative capabilities, this is an exciting opportunity to be on the front line of a major transformational effort with business sponsorship. This individual will help shape and implement how we bring this strategic engagement to the Medical Affairs organization and therefore will play an important role in the implementation of a high-visibility engagement model focused on creating unique and value-added experiences for our HCPs. The US Medical Digital Engagement and Insights team is evolving to meet the demands and changes in Takeda's business. Increasingly, Takeda is investing in data, digital, and technology to accelerate innovation and create value for the organization. US Medical has the opportunity to enhance scientific exchange for HCPs and increase effectiveness by leveraging technology to meet medical strategies and objectives.

Requirements

• Bachelor's Degree.
• 4+ years of progressive experience in data management and governance and/or Commercial Sales Operations/Analytics experience with demonstrated ability to analyze, interpret, and explain systems and approaches for customer data and product data to enable business decisions.
• Mastery in ETL processes and a deep understanding of digital platforms like Google Analytics, Adobe Analytics, Matomo, and Google Marketing Platform.
• Strong knowledge of relevant internal and external data sources within the pharmaceutical data ecosystem.
• Experience in setting up an ecosystem of partners bringing together various sources of data.
• Experience managing multiple, complex projects involving cross-functional teams.
• Knowledge of Master Data Management (MDM), data governance, and data quality business processes, solutions, and methodologies.
• Proficient in modern data analysis tools such as Tableau.
• Excellent communication (oral, written, and presentation) and interpersonal skills.
• Demonstrated planning and organization skills, attention to detail, execution, and follow-through.

Nice To Haves

• Degree in any of the following fields: technical or analytical fields such as data science, statistics, operations research, industrial engineering, computer science, economics, math, etc.
• 2+ years' experience in pharmaceutical industry.
• Healthcare business acumen with a solid understanding of the pharmaceutical industry.
• Experience acting as a liaison with Data Digital & Technology (DD&T) on data projects.
• Experience in workflow/information processing.
• Experience working with Cloud Computing technologies (e.g., AWS, Azure, Google Cloud, Databricks, Snowflake etc.).
• Experience with data analytics, digital dashboards, statistics, CPV etc.
• Prior experience with AI and machine learning techniques (e.g., dynamic automation).

Responsibilities

• Manage and support digital analytics and insights projects, aligned to outlined business objectives, data availability and quality, and determined value through meaningful insight attribution.
• Lead the hands-on stewardship of US Medical engagement data and triage any issues with DD&T platform and other business systems owners.
• Delegate relevant items to appropriate stewards inside the organization or at vendors and track progress to ensure remediation.
• Support the development of descriptive, predictive, and prescriptive analytics to generate meaningful insights to solve US Medical challenges.
• Leverage a deep understanding of pharmaceutical data and marketing tactics data to establish acceptable data standards.
• Oversee Extract, Transform, and Load (ETL) projects from pivotal digital platforms such as Matomo, Veeva systems, and other related tools.
• Design and maintain dashboards and reports using visualization tools (e.g., Tableau).
• Implement AI and machine learning techniques to enhance data analysis and predictive capabilities.
• Ensure quality standards are established for each data source and applied as a part of the Data Quality Control process.
• Implement data quality processes to proactively detect issues with provided data.
• Stay current on trends and new developments in data analytics.

Benefits

• 401(k) with company match and Annual Retirement Contribution Plan
• Tuition reimbursement
• Company match of charitable contributions
• Health & Wellness programs including onsite flu shots and health screenings
• Generous time off for vacation and the option to purchase additional vacation days
• Community Outreach Programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree