Business Analyst jobs in United States, Massachusetts, Cambridge

Production Planner – Reedsville, PA

As a Production Planner, you will create and manage production schedules, materials planning, and inventory buffers to ensure on-time delivery of customer orders while optimizing workforce and equipment utilization. This role operates in a dynamic manufacturing environment on a 2:30 pm – 10:30 pm shift, Monday through Friday.

Your role:

• Ensure timely delivery of customer orders by aligning production schedules and material availability.

• Maintain high-quality planning master data in collaboration with Enterprise Information Management (EIM).

• Develop a feasible Master Production Schedule (MPS) from initial supply plans.

• Create a Detailed Production Schedule (DPS) that minimizes changeover times and supports efficient operations.

• Optimize workforce and equipment utilization across production activities.

• Generate and manage the Material Requirements Plan (MRP) with support from Operational Buyers.

• Oversee buffer and supermarket stock levels using Demand Driven MRP (DDMRP) principles.

• Lead daily and weekly planning meetings with Production and Operations teams to ensure alignment and execution.

You're the right fit if:

• You’ve acquired at least 2 years of experience in a production plant, manufacturing site, or equivalent environment.

• Your skills include production planning, ERP systems (SAP preferred), and strong computer and reporting capabilities.

• You have a High School Diploma, vocational training, or equivalent education.

• You’re an effective communicator, highly organized, and bring practical knowledge of Lean manufacturing tools (bonus if you’ve applied them directly).

• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this

How we work together

This is an onsite role.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

• Learn more about .

• Discover

• Learn more about

• Learn more about

The pay range for this position in Reedsville, PA is $28 to $35 an hour.

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

within commuting distance toReedsville, PA

• Bachelor's degree or equivalent practical experience.
• 15 years of experience as an operator at a Healthcare and Life Sciences (HCLS) startup or investing in HCLS startups.
• Experience in the medical or scientific field.

• Master's degree or PhD.
• Experience managing products and technologies in Cloud or SaaS technology.
• Understanding of, and network with, the early stage startup community and tech ecosystem.
• Excellent business development skills, with a proven track record of managing multiple, evolving projects in parallel.
• Excellent business acumen for engaging with C-Level executives as well as technical proficiency to interact with CTOs and technical leaders.
• Excellent influencing skills, and ability to collaborate cross-functionally and drive other stakeholders without reporting authority.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 4 years of experience in business visualization tools like Looker, Tableau, etc.
• 4 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
• Experience coding in SQL and Python.

• Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics, or a related technical field.
• Experience working with large datasets in a distributed system.
• Experience with Machine Learning, AI or AI pipelines.
• Experience with Google Cloud Platform (GCP).

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 4 years of experience in business visualization tools like Looker, Tableau, etc.
• 4 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
• Experience coding in SQL and Python.

• Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics, or a related technical field.
• Experience working with large datasets in a distributed system.
• Experience with Machine Learning, AI or AI pipelines.
• Experience with Google Cloud Platform (GCP).

Are you interested in an co-op opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) degree to participate in 6 month co-op opportunities at our site in Cambridge, MA. Support the Health Economics, Market Access, and Reimbursement (HEMAR) Global Leadership Team to deliver reimbursement, health policy, and market access knowledge, experience, and expertise for Philips’ 15 distinct business units.

• Apply your health policy and/or business expertise and training to collaborate with a team of health policy and reimbursement experts on challenging projects aimed at solving real-world healthcare problems.
• Support the analysis of reimbursement trends and review/analyze US regulations including Medicare payment or coverage in proposed and final payment rules, CPT/HCPCS coding changes, fees schedules, cost files, coverage status, and other government regulations, RFIs, and decrees impacting Philips products and solutions.
• Conduct research for internal audiences on evolving global reimbursement trends and implications for Philips portfolio to guide strategic decision-making.
• Analyze secondary data for both US payers related to reimbursement changes and trends and organize data from international markets as required.
• Assist with market assessment opportunities for business investments, acquisitions, and strategic partnerships.

the right fit if:

• Working towards a B.S. or M.S. in a health policy or business discipline
• Experience with researching health policy considerations andunderstanding of health care systems globally
• Strong analytical and data management skills including advanced experience in Microsoftapplications including PowerPoint, Excel, Forms, Teams, and OneDrive
• Strong communication skills and the ability to synthesize complex reimbursement and market access data.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this

How we work together

This is an office role

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

• Learn more about .
• Discover
• Learn more about
• Learn more about

The hourly pay range for this position is

Details about our benefits can be found .

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 4 years of experience in business visualization tools like Looker, Tableau, etc.
• 4 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and AI.
• Experience coding in SQL and Python.

• Master's degree in Computer Science, Statistics, Economics, Engineering or Mathematics, or a related technical field.
• Experience working with large datasets in a distributed system.
• Experience with Machine Learning, AI or AI pipelines.
• Experience with Google Cloud Platform (GCP).

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (C, C++, Python, or Go), or 1 year of experience with an advanced degree.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• Experience developing accessible technologies.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.