Staff Data Analyst (Manufacturing Systems Engineering)

About the role:

10x is looking for an outstanding Data Analyst to join the Manufacturing Systems Engineering (MSE) team. This is a key position for MSE and the broader Operations team to ensure development of data pipelines, ensure accessibility of data, and design of data analytics tools. 

The ideal candidate will have a strong background in data engineering, data visualization and data analysis.  Knowledge and hands-on experience with development and maintenance of scalable data visualization tools, trend analysis, data storage architecture and developing statistical process control for manufacturing is required. Candidates should also have a strong working knowledge of Operations processes and KPIs.

Individuals applying for this position must be self-starters, strategic thinkers, action driven, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution.

What you will be doing:

• Collect requirements for data visualization/analysis projects and work with stakeholders to fully define and prioritize projects.
• Transform business requirements into technical requirements for data visualization/analysis projects.
• Create and maintain analysis tools and dashboards.
• Partner with the stakeholders, ensuring minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources.
• Write custom database queries to extract and aggregate MES, SCADA, and QC data from multiple sources, analyze this data and establish trends and guard bands for process control.
• Contribute to CAPA investigations and remediation.  Provide data analysis and support for root cause investigations.  
• Produce reports on process / method capabilities, component variability and ANOVA.
• Maintain accurate and detailed records of testing, conduct in-depth data analysis, and clearly communicate these results through documentation and presentations.  
• Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis.
• Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability.
• Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.

 Minimum Requirements:

• Degree in Computer science, Data science, Engineering, Statistics, or related field, with an emphasis in statistical process control and monitoring. 
• BS with 9+ years of experience, or MS / PhD with 5-8 years of experience. 
• Relevant experience developing process control for the manufacture of successful products.
• Proficiency in programming languages such as Python and JavaScript
• Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL).
• Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services).
• Experience with standard statistical analysis software (e.g. JMP, R, CHARTrunner, Minitab, Matlab) is required. 
• Experience with data visualization tools (e.g., Tableau, Retool).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
• Desire to be part of a rapidly evolving organization, with a compelling technology, and taking products and processes to the next level.
• Working knowledge of Lean and/or Six Sigma methodologies a must.
• Familiarity with Next Gen Sequencing data and key sequencing pipelines and metrics a must.

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