Data Analyst (Quality)

Symbotic•USA Wilmington, MA

2d•Hybrid

About The Position

Symbotic is seeking a Data Analyst to join the Quality Data Analytics team. This role is responsible for developing data analytics solutions, dashboards, and statistical analyses to support product quality, reliability, repair operations, manufacturing, and field performance. The position collaborates closely with Engineering, Service, Manufacturing, Supply Chain, and Quality teams to translate complex data into actionable insights that drive business decisions and continuous improvement. This is a hybrid position requiring the selected candidate to work from the Wilmington, MA location 3-5 days per week.

Requirements

Bachelor's degree in Data Analytics, Statistics, Computer Science, Engineering, Information Systems, Mathematics, or a related technical field. Equivalent combination of education and experience may be considered.
Minimum 3 years of experience in data analytics, business intelligence, quality analytics, reliability engineering, or related analytical roles.
Strong experience with SQL, Power BI, Snowflake, Microsoft Excel, and relational databases.
Experience performing statistical analysis, hypothesis testing, regression analysis, reliability analysis, and data visualization.
Experience working with large datasets and developing automated reporting solutions for engineering or manufacturing environments.
Strong analytical, communication, and problem-solving skills with the ability to communicate technical findings to both technical and business stakeholders.

Nice To Haves

Experience with Python, R, or JMP is a plus.
Familiarity with SAP, Jira, and cloud-based data platforms is a plus.
Experience with process improvement methodologies such as Lean, Six Sigma, PDCA, or 8D is a plus.

Responsibilities

Design, develop, and maintain interactive dashboards and reports using Power BI and SQL to support quality, reliability, service, manufacturing, and field operations.
Perform statistical analysis, reliability modeling, and hypothesis testing to evaluate product performance, component reliability, warranty trends, and repair effectiveness.
Develop automated reporting solutions and data pipelines using SQL, Snowflake, and other enterprise data platforms to improve reporting efficiency and accuracy.
Analyze repair center, manufacturing, supplier, and field performance data to identify trends, root causes, and opportunities for continuous improvement.
Partner with cross-functional teams including Engineering, Service, Manufacturing, Supplier Quality, and Operations to define KPIs, develop analytics solutions, and support strategic decision-making.
Support continuous improvement initiatives by applying statistical methods, process analysis, and data visualization techniques while performing other related duties as assigned.