Senior Data Analyst Engineer

About the role

This role ensures that our New Product Introduction (NPI) of ALC and production are optimized through rigorous data analytics, seamless Bill of Materials (BOM) management, and full product lifecycle traceability across MicroLED, photodiodes (PD/uPD), fiber bundles, Tx/Rx ASICs, interposers, and micro lens arrays. The role operates at the intersection of internal test, characterization, and manufacturing teams and external component suppliers, ensuring consistent, high-quality data flow from early development through qualification and high-volume production. This position requires close collaboration with Ottawa-based R&D team and Shanghai-based Operations team.

Base salary range is $140,000 - $200,000 a year. The base salary offer will depend on factors such as education, experience, training, skills, qualifications, and location. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

Why Credo

• Purpose: We invest in what matters. From meaningful-future shaping projects to competitive compensation, we empower you to grow your career while making a lasting impact.
• People: Connection starts within. We collaborate, celebrate wins, and create an environment where everyone can do their best work.
• Possibilities: Our belief shapes what's next. Our technology powers the most reliable and energy-efficient connections around the world - and our team powers new products and markets that come next.

Responsibilities

• Lead Data-Driven NPI & Manufacturing Execution: Champion the use of data analytics (using tools like Python, SQL, JMP and/or state-of-the-art manufacturing analytics platforms)throughout the NPI process to model performance, yield, predict bottlenecks, and validate process capabilities, ensuring a smooth transition to volume production. Own end-to-end delivery of the automated validation POC, including scope, milestones, success criteria, risk mitigation, and scale-up planning across development and production phases.
• Internal Test & Characterization Enablement: Partner closely with internal test, characterization, reliability, and manufacturing teams to standardize data generation, ingestion, and KPI reporting across electrical, optical, RF, and imaging datasets. Ensure validation workflows align with evolving development, qualification, and production needs.
• Supplier-Facing Data & Performance Management: Define and enforce standardized data submission formats and KPI definitions for component suppliers. Enable consistent, apple-to apple supplier comparisons at lot and component levels to support qualification, sourcing, and risk decisions.
• Data Structuring & Schema Governance: Establish and enforce data schemas for metadata, test data, reliability data, and quality data across internal and external sources. Maintain data integrity, traceability, and version control throughout the NPD lifecycle.
• Drive Product & Process Traceability: Design and implement systems for complete data traceability, linking material lots, process parameters, and equipment data to individual unit serial numbers. This is critical for root cause analysis, quality audits, and regulatory compliance.
• Spearhead Continuous Improvement through Analytics: Identify and execute on opportunities for yield improvement, cost reduction, and throughput enhancement by analyzing production data. Lead initiatives to transition from paper-based to electronic DHR systems, enhancing data accessibility for analytics.

Qualifications

• Bachelor's degree in engineering, Computer Science, Data Science, or a related technical field
• 7+ years of progressive experience in R&D, NPI, and/or Manufacturing Engineering, technical program management, validation, test systems, or data platforms
• Hands-on experience in data analytics for development and manufacturing (e.g., yield analysis, process capability, SPC) and proficiency with tools such as Python, JMP, advanced Excel, or Minitab for DOE, SPC, CPK analysis, and problem-solving (5-Why, DMAIC, Fishbone)
• Strong understanding of data pipelines, schema governance, KPI frameworks, and analytics systems
• Experience with AI/ML logic models and their application in development and manufacturing data analytics
• Proven ability to work deeply with internal test/characterization teams and external suppliers
• Effective communication skills across global and multicultural teams
• Strong collaboration, adaptability in dynamic environments, and a customer-focused approach to driving change and delivering results
• Proven success in managing technology transfers and ramping production with overseas suppliers and contract manufacturers
• 25% international travel.

About Credo

Credo's mission is to transform connectivity at scale through fast, reliable, and energy-efficient system solutions. Our high-speed copper and optical interconnect products deliver industry-leading power and performance at up to 1.6T to meet the ever-expanding data infrastructure demands of AI.

Our product portfolio includes ZeroFlap (ZF) Active Electrical Cables (AECs) and ZF optical transceivers, OmniConnect memory solutions, and a suite of retimers and DSPs for optical and copper Ethernet and PCIe, all leveraging the PILOT diagnostic and analytics software platform. Credo innovations enable our customers to connect the systems that connect the world.

Credo is committed to creating an inclusive environment for all employees and welcome applicants from diverse backgrounds without regard to race, color, religion, gender, sex, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email people@credosemi.com.

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