Data Analytics Engineer - West Point, United States - Merck

Description

Job Description

Position Description:

Are you passionate about taking part in leading the digital transformations and building advanced data solutions? We're looking for a Data Analytics Engineer to take a driving role in the development of innovative data solutions to fuel a data driven mindset for our stakeholders.

The successful candidate is primarily responsible for leading digital innovation initiatives at the site and will be working closely with the DMO factory leads, the local Global Engineering, Science, & Commercialization process SMEs, Manufacturing Execution System (MES) SMEs, and Operations teams. You will have the opportunity to apply your enthusiasm and technical skills working on various data analytics initiatives as a member of a multidisciplinary team.

The ideal candidate has excellent interpersonal skills together with the ability to work across lines of business at a senior level, to influence and effect change to achieve common goals. Outstanding analytical and problem-solving abilities are crucial for the role.

Responsibilities may include but are not limited to:

• Leading digital innovation initiatives from business case development through delivery, such as digital twin, finite scheduling, and advanced shop floor visualization/notifications through existing and new technologies
• Integrate with site process SMEs to develop proactive process monitoring tools such as dashboards and work-flow analysis.
• Develop and refine process models to understand system capabilities and limitations.
• Support regulatory requirements by developing data analytic and reporting tools to enhance continuous process validation (CPV).
• Partner with maintenance organization to improve predictive maintenance program through data analysis to minimize unplanned equipment downtime and provide visual indicators of failures.
• Serve as the primary site liaison to our Company's Integrated Data Execution and Analytics team and all Product Data Management (PDM) teams.
• Participate in architecture design for new and existing systems to ensure that all data requirements can be met.
• Experimenting and learning new digital tools and methods from enabling technologies through data analytics
• Develop and provide training for digital platforms/analytical tools and techniques to the automation and process engineers, and operations personnel
• Complete detailed analysis from a productivity/throughput perspective looking at the data to help refine the process models for what is the most efficient way to run
• Support complex investigations using data analytics to help identify root cause
• Supporting process automation, data historian, and reporting systems on an as-needed basis with regards to commissioning and qualification through ongoing support
• Application of sound project management techniques to meet schedule, budget, benefit realization and other project objectives.
• Providing direct support for regulatory inspections and audits and other validation activities by serving as the subject matter expert
• Assisting in the development and review and approval of department Standard Operating Procedures (SOPs), and other site Good Manufacturing Practices (GMP), Standard Operating Procedures (SOPs), related to automation and digital activities and adheres to established quality standards
• Supporting problem solving practices to identify and resolve technical and operational problems; able to collaborate with peers to resolve problems that cross into inter-related units

Education:

• Bachelor's Degree in Engineering, Computer Science, and/or Data Science

Required Experience and Skills:

• Five (5)+ years of data management and analytics experience, ideally from an industrial company (life sciences / pharma would be an advantage)
• Proven data literacy - the ability to describe business use cases/outcomes, data sources and management concepts and analytical approaches / options. The ability to translate among the languages used by executive business and IT stakeholders.
• Proven record of working with data & analytics delivery teams as well as managing projects.
• Demonstrated ability to build relationships with team, peers and area leads both locally and across multiple sites and divisional teams.
• Demonstrated leadership in achieving shared objectives in multiple areas of production.
• Strong understanding of manufacturing principles/ processes and ability to translate manufacturing and business requirements into Automation/digital solution
• Data Integrity acumen

Preferred Experience and Skills:

• Advanced Degree in Data Science
• Experience with Process Automation (DeltaV/PLCs), PI, PI Asset Framework, PI Vision, Spotfire, Mantis, BioG, Pipeline Pilot, VBA
• Strong programming skills with Python and SQL is an advantage.
• Minimum of 3 - 5 years of experience in a Good Manufacturing Practice- manufacturing
• Experience working in a regulated industry is an advantage.
• Lean Six Sigma Understanding
• Knowledge of Good Automation Manufacturing Practices (GAMP) standard

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Information Management, Information Technology (IT) Infrastructure, Network Infrastructures, Software Development

Preferred Skills:

Requisition ID:R286525