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Solutions Engineer, Data Analytics

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Solutions Engineer, Data Analytics will support and contribute to Advanced Data Analytics software and data engineering services for global and regional reporting solutions. This role will establish proficiency in Data Warehousing & technical program data management that enable advanced analytics.  As directed, the incumbent contributes to global efforts by supporting, developing, and maintaining tools and software solutions key to enabling statistical modeling, visualization, reporting, and interpretation of results. This role will serve as second level support for global solutions troubleshooting and maintenance.

The Solutions Engineer, Data Analytics will contribute to the execution of Quality Risk Assurance based data integrity and validation reports with appropriate business acumen for stakeholder interpretations and qualifications. The incumbent will help provide analysis-ready data to statisticians and data scientists.

Duties & Responsibilities

  • Executes the duties of data management and software configurations for pharmaceutical batch analytics.
  • Maintains a general level of business acumen and data science knowledge to ensure the fit, form, and function of data science software.
  • Collaborates with all teams and functions esp, MSAT Data Analytics teams and stakeholders to set and achieve project goals.
  • Provides software development and configuration support (Level 1 & 2) for global and local site data management and data analytics reporting systems/programs. Primarily ETL (stage, adapt, parameterize, warehouse, view & report) from various production batch data across several enterprise data sources: LIMS, MES, Automation, Material Order, IPC etc., for Batch Data Analytics. Ensuring consistent and curated flow of these aggregated batch data to automated and advanced analytics reporting solutions.
  • Supports the development/enhancements to the Data Warehousing data reporting and information consumption platforms.
  • Creates, organizes, and maintains hardware server systems, and software solutions/systems data integrity documentation; CSA, GxP, CSVC documentation.
  • Conducts periodic review of LAN, WAN, Edge servers in regional data centers and software architectures relative to data transfer rates and create data flow latency summarizations to ensure optimum user experiences for data scientists and local users.
  • Participates in agile software and data management standards to support advanced data science programs and product groups.
  • Receives feedback and adjust program management effectiveness from Global MSAT, Strategic site stakeholders and leadership, IT Governance bodies, and Global Engineering.
  • Develops proficiency in aspects of data management requirements and functionality relative to Advanced Analytics outcomes to a diverse group of global stakeholders at all levels and locations of the organization.
  • Recommends industrial knowledge though primary literature, trade forums, and user meetings.
  • Recommends and applies new/emerging technologies to ongoing MSAT projects enhancing Global MSAT Data Analytics Product Groups when appropriate.
  • Collaborates and participates in internal and external technical collaborations with various stakeholders and colleagues across the organization.
  • Engages and collaborates with international colleagues to promote international harmonization.
  • Participates in internal or external working groups.

Requirements

  • Bachelor's degree in Computer Science or related discipline with a minimum of five (5) years applied computer science experience in a regulated operations organization or related industry required.

OR

  • Master’s degree in Computer Science or related discipline with a minimum of two (2) years applied computer science experience in a regulated operations organization or related industry required.
  • Previous experience in software development architecture and data management is a prioritized preference.
  • Expertise in data warehousing SQL programming is preferred.
  • Academic and Demonstrated Knowledge of C#, SQL, Javascript.
  • Recommended software experience: OSIsoft PI, PI AF, ETL Data Warehouse Design and Implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, MS DB Mgmt Studio, MongoDB, PostgreSQL.
  • Knowledge of mathematics and computer science theory and application of statistical methodologies relative to process performance analytics and data sciences preferred.
  • Ability to perform tasks typically expected of a Solutions Engineer.
  • Ability to convey analytical thinking as well as business acumen and technical knowledge.
  • Ability to work effectively as part of a team and manage project(s) from a data management perspective.
  • Ability to determine appropriate database design, development, and configurations to deliver efficient architectural approach for advanced analytics.
  • Demonstrated experience pro-actively identifying/detecting design issues and recommending solutions in global architectures and database design and implementations supporting global networks.


Eligibility Requirements:

  • Must be legally authorized to work in the United States without restriction.
  • Must be willing to take a drug test and post-offer physical (if required).
  • Must be 18 years of age or older.

Desired Skills, Experience and Abilities

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