Data Analyst at SENKO Advanced Components

Camarillo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Aug, 26

Salary

75000.0

Posted On

09 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Statistical Analysis, Machine Learning, AI Techniques, Predictive Modeling, Process Optimization, Python, R, SQL, Customer Service, Professionalism, Organization, Time Management, Computer Literacy, Detail Oriented, Multi-tasking

Industry

Telecommunications

Description

Description This is an on-site position with 5 days a week at the Camarillo, CA office. Division: Emerging Technologies Group As the industry's leader in fiber optic interconnects, SENKO is relentlessly pushing the boundaries of technology. Our dynamic and fast-paced environment fosters a culture of creativity and collaboration, where your ideas can thrive. We partner with the world's most renowned technology giants, shaping the future of connectivity together. At Senko, you'll be part of a team that's passionate about innovation and dedicated to making a global impact. If you're ready to take your career to the next level and be at the forefront of technological advancements, Senko is the place for you. The Data Analyst will play a critical role in developing and advancing data-driven insights across SENKO’s advanced manufacturing and emerging technology initiatives. This position focuses on building and maintaining data pipelines, performing statistical analysis, and applying machine learning techniques to manufacturing and metrology data to improve process understanding, product quality, and operational efficiency. Come and join us on this exciting journey to shape the future of connectivity! Duties and Responsibilities include the following. Other duties may be assigned. Design, build, and maintain data pipelines for manufacturing and metrology data Ingest and integrate manufacturing data into internal systems such as MES platforms Perform statistical analysis to identify relationships between process variables and product geometry or performance Apply machine learning and AI techniques to support predictive modeling and process optimization Collaborate with engineers and manufacturing teams to translate technical questions into analytical solutions Present analytical findings to technical and non-technical stakeholders Document data workflows, models, and analytical findings Collaborate with global teams Maintain confidentiality of proprietary data and research PM19 Requirements Skills: Customer Service Professionalism Organization Time Management Computer Literacy Detail oriented Mechanical Dexterity Multi-tasking Qualifications: Bachelor’s degree in Data Science, Engineering, Computer Science, or related field Strong foundation in statistics and data analysis Experience working with manufacturing or industrial data Proficiency in Python, R, SQL, or similar tools Experience working with global or cross-cultural teams Benefits Offered: Discretionary Bonus Medical Dental Vision Dependent Child Care Voluntary Life, Critical Illness and Accident Insurance 401K Legal Services Pet Insurance Financial Wellness 12 Paid Company Holidays per calendar year 2 Floating Holidays PTO Sick time Educational Assistance Program EEO Statement: SENKO Advanced Components, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, religious creed, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law (such as cancer), reproductive health decision making, genetic information , or any other characteristic protected by applicable federal, state, or local laws and ordinances. SENKO Advanced Components, Inc.’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment. The Company will endeavor to make a reasonable accommodation of an otherwise qualified applicant or employee related to an individual’s: physical or mental disability; sincerely held religious beliefs and practices; needs as a victim of domestic violence, sex offenses, or stalking; needs related to pregnancy, childbirth, or related medical conditions; and/or any other reason required by applicable law, unless doing so would impose an undue hardship upon the Company’s business operations. Any applicant or employee who needs an accommodation to perform the essential functions of the job should contact the Head of Human Resources to request such an accommodation. The individual should specify what accommodation is needed to perform the job and submit supporting documentation explaining the basis for the requested accommodation, to the extent permitted and in accordance with applicable law. The Company will review and analyze the request, including engaging in an interactive process with the employee or applicant, to identify if such an accommodation can be made. The Company will evaluate requested accommodations, and as appropriate identify other possible accommodations, if any. The individual will be notified of the Company’s decision within a reasonable period. The Company treats all medical information submitted as part of the accommodation process in a confidential manner. Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of the Head of Human Resources. The Company will not allow any form of retaliation against individuals who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact the Head of Human Resources. To ensure our workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.

Responsibilities

The Data Analyst will design and maintain data pipelines for manufacturing and metrology data to improve operational efficiency. They will apply statistical analysis and machine learning to optimize processes and present findings to stakeholders.