Information Technology Business Process Expert – Data & Analytics

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

About the role:

Are you looking for a patient-focused, innovation-driven company to inspire you and empower you to shine? Join Takeda as an Information Technology Business Process Expert – Data & Analytics where you will provide leadership and technical expertise to rapidly stand-up new data solutions and perform complex data analysis against various large structured and unstructured data across different domains and systems. Develops reporting and analytics from connected data, enabling the business to advance data-driven decision-making capabilities. Performs troubleshooting and root cause analysis of concerns regarding data flow representation and data quality processes. Partners with the team in defining and implementing continuous improvement opportunities.You will also conduct, facilitates, and influences analytical assessments conceptualizing business needs and translating them into analytical solutions. Works across teams and defines various data set requirements (i.e., Takeda data, third-party data) to identify business rules and IT technical and architecture structure to move efforts forward rapidly and efficiently, adhering to Takeda’s enterprise architecture principles, best practices, and business goals. part of the US Business Unit and Global Portfolio Commercialization, you will report to IT Business Partner Commercial Operations.

How you will contribute:

• Ability to understand, consolidate and transform various data sets related to commercial IT Pharmaceutical data focusing on areas such as Customer Master, Specialty Pharmacy, Contracts & Pricing, Biological Distributors, product launch analytics, and other commercial data engineering needs
• Build and maintain technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources and large, complex data sets.
• Develop and implement data quality checks in alignment with business requirements.
• Define data engineering techniques and best practices for data transformation, data integrity, test design, validation, and documentation.
• Perform root cause analysis of business concerns about data flow and complex pipelines through data quality processes, customer master, and the data warehouse, in collaboration with business, IT teams, third-party data vendors, and software providers.
• Support the Commercial Operations Team and Franchise analytics team for data-related questions, analysis, and reporting related to the Commercial ecosystemand related interfaced systems.
• Partner with technical engineering teams, enterprise data backbone, solution architects, and third-party partners to develop a technical architecture for strategic data-driven commercial initiatives. Evaluate, implement and deploy emerging tools and processes for analytic data engineering in order to grow and shape the future of analytics in Commercial

Minimum Requirements/Qualifications:

• Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
• 8+years of strong professional experience working in the areas of data warehousing, ETL, and business intelligence.
• Strong Knowledge and expertise with SQL, Informatica tool stack, and QlikSense/Tableau Reporting
• Strong knowledge of Redshift, AWS Lambda, and/or Databricks highly preferred
• Experience with Informatica Big Data Management and Databricks with Tidal Scheduler is a major plus
• Strong interpersonal and communication skills (verbal and written)
• Collaborative mindset and teamwork, with the ability to challenge and engage an audience toward better outcomes
• Strong knowledge and expertise with Commercial data ecosystem processes and platforms – CRM, MDM, Omnichannel Marketing, data warehouse/data lake, Field Sales Reporting, Alignment/Targeting, and Incentive Comp
• Prior and proven ability to learn new data systems with minimal, formal training.
• Experience in commercial data modeling within an enterprise environment
• Prior experience with Data Engineering projects and teams at an Enterprise level
• Experience with developing solutions for cloud computing services and infrastructure in the data and analytics space
• A good understanding of the Software Development Life Cycle is mandatory
• Expertise in Agile software processes, data-driven development, reliability, and experimentation

What Takeda can offer you:

• Comprehensive Healthcare: Medical, Dental, and Vision
• Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
• 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 and company match charitable contributions
• Family Planning Support
• Flexible Work Paths
• Tuition reimbursement

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best-in-class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Absent an approved religious or medical reason, all US field-based employees must be fully vaccinated for COVID-19, as a condition of employment.

You will be classified as "hybrid" following Takeda's Hybrid and Remote Work policy.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Lexington, MA

USA - MA - Cambridge

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time