ABOUT US:
Cervélo exists to Make Riders Faster. You'll see our bikes on the road, on the trail, and under some of the most elite athletes in the world. We're a small group of passionate riders, dedicated to delivering the best bikes in the world. It's not all CAD and wind tunnel time, though, we're headquartered in Aliso Viejo, California, a sweet corner of Orange County where you can ride on and off road year-round. Cervélo bikes have won all three Grand Tours (the first bike brand in history to do so), our ambitions have never been higher, and we're looking for talented, driven people to join our team.
ABOUT YOU:
As the Master Data Analyst for Cervelo, you will be the single point of ownership for all master data. This is a critical role responsible for ensuring the integrity and quality of the data that drives our business operations. You will report to the Business Systems Analyst and be a key player in shaping the company's data strategy.
WHAT DOES YOUR DAY LOOKS LIKE:
Manage the full lifecycle of master data within ERP systems, ensuring accuracy, completeness, and consistency.
Collaborate cross-functionally with product, sales, finance, operations, and IT teams to ensure alignment, understanding and adherence to data governance processes.
Assist global markets in adhering to PON.BIKE data governance standards and maintain Cervelo master data accuracy.
Proactively audit data quality and identify opportunities for improvement, working with cross-functional business teams to resolve discrepancies and enhance data accuracy.
Act as a subject matter expert on master data, providing support and training to end-users and communicating technical data concepts in a clear, understandable way.
Lead data-related projects and initiatives, demonstrating the ability to drive change and build consensus with stakeholders and business users without direct authority.
Contribute to the continuous improvement of data management processes and tools.
WHAT YOU BRING TO THE TABLE:
Bachelor’s degree in Business Administration, Supply Chain Management, Information Systems, or a related field.
Minimum of 1-3 years of experience in a similar role within the consumer goods industry or another data-driven environment.
Proven experience in a data-focused role, with a strong understanding of master data concepts and best practices.
Demonstrated knowledge of SAP or another enterprise resource planning (ERP) system.
Strong analytical skills with attention to detail and accuracy.
Excellent written and verbal communication skills to effectively liaise with different teams.
Proficiency in Google Sheets/Microsoft Excel and other data management/visualization tools such as PowerBI.
Familiarity with data governance best practices and standards.
Highly organized, self-motivated, and detail-oriented, with a proactive approach to problem-solving.
A strong desire to take ownership and lead initiatives, driving results and influencing others through collaboration.
LANGUAGE SKILLS: Ability to read and comprehend and explain documents such as safety rules, operating and maintenance instructions, and procedure manuals in English. Effectively communicating, verbally and in writing, in English and fluency in another language is a plus.
PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the overall duties and responsibilities of this job.
SALARY RANGE: This compensation package will be dependent on experience, qualifications, industry experience and the interview with a potential range between $73,000-$80,000.
Reasonable accommodations may be made to enable otherwise qualified individuals with disabilities to perform the overall duties and responsibilities. While performing the duties of this job, the employee is regularly required to stand, walk, use of hands and fingers, handle, or feel, reach above head with hands and arms, lift, push, climb, stoop, kneel, crouch, and/or crawl, pull, talk and hear. The employee must lift and/or move up to 50 pounds. Vision may be corrected within normal range. The noise level in the work environment is moderate.