Data Engineer/Data Analyst

Job Title: Data Analyst/Engineer

Location: Cambridge MA

Duration: 12 Months

Description:

Hybrid - 3-4 days onsite

Ideal Candidate: 2-5 YOE

The ideal candidate will contribute to data processing, visualization, and reporting efforts while also supporting Digital Product initiatives, digital thread enablement, and FAIR data practices. This individual will work across multiple cross-functional teams and stakeholders to improve workflows, enhance data usability, and drive adoption of digital tools and processes.

Top 3 Must Have Skill Sets:

1) Data Engineering & Analytics Foundations

2) Digital Systems and Data Modeling Awareness (Exposure to data models, Understanding of how data flows across systems, etc).

3) Cross-Functional Collaboration & Digital Transformation Enablement

Key Responsibilities

Data Processing & Analytics

• Retrieve, clean, and preprocess data from multiple sources (databases, APIs, flat files).

• Perform exploratory data analysis to identify trends, gaps, and opportunities.

• Develop dashboards and visualizations using tools such as Spotfire, Power BI, or custom apps.

• Generate reports and communicate insights to both technical and non-technical stakeholders.

• Support data integrity, quality, and accessibility across workflows.

Digital Transformation & Digital Products Support

• Support digital platform initiatives, including feature development, testing, and deployment.

• Assist in documenting data models, workflows, and system architectures.

• Contribute to the enablement of a digital thread across product development processes

• Advocate for and apply FAIR (Findable, Accessible, Interoperable, Reusable) data principles

• Act as a data steward to ensure consistency and usability of data across systems

• Support onboarding, training, and adoption of digital tools across business groups

Cross-Functional Collaboration

• Partner with multiple stakeholder groups to understand business needs and translate them into data and digital solutions

• Identify process improvement opportunities to increase efficiency and reduce errors

• Support digitalization of experimental and operational workflows

• Work in a highly collaborative environment across technical and business teams

Basic Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related field

• 2 years of experience in data analysis, digital systems, or related technical roles

Required Skills

• Experience with data processing and analysis using Python, R, or similar tools

• Familiarity with SQL and data querying

• Experience with data visualization tools (e.g., Tableau, Spotfire)

• Strong problem-solving and analytical skills

• Ability to manage multiple priorities in a fast-paced environment

• Strong communication skills and ability to work with diverse stakeholders

Preferred Qualifications

• Experience with PLM systems or other enterprise digital tools

• Understanding of data modeling and data architecture concepts

• Exposure to Agile methodologies or product team environments

• Experience supporting digital transformation or system adoption initiatives

• Familiarity with combination products, medical devices, or regulated environments

• Strong communication and cross-functional collaboration skills - ability to distill, craft and present key messages relative to diverse audience requirements

Basic Qualifications

Master degree OR Bachelor degree and 2 years of experience OR Associate degree and 6 years of experience OR High school diploma / GED and 8 years of experience