Machine Vision AI Senior Data Analyst

IMPORTANT: Unless requested by Strata Worldwide, resumes or other information delivered by email, mail, or in-person will not be considered in our initial review of your qualifications in fairness to other potential candidates.

Also, note that we prefer ONE document be uploaded for your online application. If you have multiple documents, such as a cover letter and resume, either combine all into one .pdf or MS Word file to upload as a single document OR copy-and-paste your cover letter into the space provided and upload your resume file.

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I. SUMMARY

At Strata Worldwide, we specialize in cutting-edge machine vision AI safety technologies designed to enhance operational safety and efficiency within the industrial settings such as ports, maritime, and mining industries. Our innovative solutions leverage advanced data analytics to provide actionable insights that empower our clients to make informed decisions.

We are looking for a Data Analyst with a passion for technology and data-driven decision-making to join our team. In this role, you will analyze complex datasets related to industrial operations, develop insightful reports, and contribute to the enhancement of our Machine Vision AI safety technologies. Your work will be pivotal in helping our clients improve safety and operational efficiency in their day-to-day activities.

II. ESSENTIAL DUTIES AND RESPONSIBILITIES

• Data Collection and Management:
  • Gather and manage data from multiple sources, including machine vision systems, operational databases, and external maritime data feeds.
  • Ensure data accuracy and integrity through rigorous cleaning and preprocessing techniques.
• Data Analysis and Reporting:
  • Analyze data to identify trends, anomalies, and opportunities for safety improvements within maritime operations.
  • Create detailed reports and dashboards that visualize key performance indicators (KPIs) and insights for stakeholders, including operational teams and management.
• Collaboration and Support:
  • Support the development and implementation of data analytics tools and systems.
  • Work closely with engineering and product development teams to understand data requirements and provide analytical support for AI model improvements.
  • Collaborate with maritime safety experts to translate technical data into actionable safety recommendations.
• Continuous Improvement :
  • Identify and implement process improvements for data collection, analysis, and reporting workflows.
  • Stay abreast of industry trends, emerging technologies, and best practices in data analytics and machine vision applications.

III. QUALIFICATIONS

The qualifications listed below represent the credentials necessary to perform the essential duties and responsibilities of this position. To be successful in this position, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Education:
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Experience:
  • 2+ years of experience in data analysis, preferably within the industrial technology sector.
  • Familiarity with machine vision technologies and their applications in safety and operations is a plus.
• Technical Skills:
  • Proficient in data analysis tools (e.g., Python, R, SQL) and data visualization platforms (e.g., Tableau, Power BI).
  • Strong understanding of statistical analysis and data modeling techniques.
  • Experience with data preprocessing and cleaning techniques to manage large datasets effectively.
• Soft Skills:
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to present complex data insights in a clear and concise manner.
  • Ability to work collaboratively in a fast-paced, interdisciplinary team environment.

IV. WORKING CONDITIONS

A. Travel Requirements

The role may require travel from time-to-time to customer sites. Trips will likely require overnight stay away from home for one or more nights.

B. Physical Demands

This position requires the ability to perform general physical exertions, including walking, standing, stooping, climbing, lifting materials or equipment.

C. Work Environment

Periodically may be required to go to marine terminal, construction site, mine site.

V. What We Offer:
• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• A collaborative work environment that fosters innovation and creativity.

Strata Worldwide offers full-time eligible employees the following benefits:

• Group Medical, Dental, and Vision Insurance
• Basic Life and Accidental Death and Dismemberment (AD&D) Insurance
• Short-Term and Long-Term Disability Insurance
• 401(k) Plan with a Company Match
• Employee Assistant Program
• Paid Company Holidays
• Paid Time Off (PTO)
• Sick Time

Strata Worldwide is an Equal Opportunity Employer and Drug-Free Workplace.

IMPORTANT : By submitting your resume online, you hereby authorize Strata Worldwide and its representatives to contact, obtain, and verify the accuracy of the information contained in this application from all previous employers, references, and educational institutions. You also hereby release from liability Strata Worldwide and its representatives for seeking, gathering, and using such information to make employment decisions and all other persons or organizations for providing such information.

You understand that any misrepresentation or material omission made by you on this application will be sufficient cause for cancellation of this application or immediate termination of employment if you are employed, whenever it may be discovered.


This is an Exempt position, which is not eligible for overtime pay.

Interested professionals should submit a resume, cover letter, and contact information for professional references via this online portal. No unsolicited letters, emails, telephone calls, or in-person submissions will be considered in fairness to other potential candidates for this position.