What are the responsibilities and job description for the Engineer position at Aditi Consulting?
Payrate: $40.00 - $42.00/hr.
Summary:
We are seeking a motivated and versatile professional to support the Combination Product Operations Digital and Data Strategy team. This role bridges data analytics and digital transformation, enabling both operational insights and the advancement of enterprise digital capabilities. 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.
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.
Qualifications:
- Bachelor’s degree in Engineering, Computer Science, Data Science, or related field.
- 2 - 5 years of experience in data analysis, digital systems, or related technical roles.
- 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.
- 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.
Desired Skills:
- 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.
Pay Transparency: The typical base pay for this role across the U.S. is: $40.00 - $42.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting privacy@aditiconsulting.com.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy .
#AditiConsulting
# 26 - 03014
Salary : $40 - $42