Data Science Analyst

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Conduct data hygiene and reconciliation by identifying and resolving issues related to missing, duplicate, malformed, or inconsistent records.

• Analyze manufacturing and testing data to uncover trends, anomalies, yield challenges, and process deviations.

• Oversee the quality, completeness, consistency, and usability of manufacturing-line data systems.

• Generate both recurring and ad hoc reports to facilitate engineering investigations, operational monitoring, and management decision-making.

• Design, maintain, and optimize SQL queries, views, stored procedures, and reporting datasets.

• Assist with ETL-style data extraction and transformation workflows from manufacturing databases.

• Enhance and maintain Python-based extraction and processing scripts for regular data pulls, normalization, validation, and analytical support.

• Collaborate with Test Engineering, Manufacturing, and Quality teams to facilitate optical test operations.

⛳️ Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.

• Minimum of 2 years of experience in a data analyst or manufacturing data support capacity.

• Proficient in SQL, including techniques such as joins, aggregations, filtering, subqueries, common table expressions, and performance-oriented query design.

• Experience in data hygiene, validation, reconciliation, and quality assurance in operational datasets.

• Working knowledge of Python for the enhancement and maintenance of extraction, cleansing, and transformation scripts.

• Preferred experience in manufacturing, testing, operations, or quality data environments.

• Familiarity with automated test systems, production systems, or factory equipment is preferred.

• Knowledge of SPC, Cp/Cpk, yield analysis, or similar manufacturing/process-control concepts is preferred.

• Experience with Python libraries such as pandas is preferred.

• Familiarity with preparing data for Power BI or Tableau is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with a Cisco matching contribution.

• Paid parental leave.

• Short- and long-term disability coverage.

• Basic life insurance.

• Cisco restricted stock unit grants may be available.

• 10 paid holidays per full calendar year.

• 1 floating holiday for non-exempt employees.

• 1 paid day off for the employee’s birthday.

• Paid year-end holiday shutdown.

• 4 paid days off for personal wellness.

• Flexible vacation time off program for exempt employees.

• 16 days of paid vacation time per full calendar year for non-exempt employees.

• 80 hours of sick time off provided on hire date and each January 1st thereafter.

• Up to 80 hours of unused sick time can be carried forward.

• Additional paid time off available for critical or emergency family matters.

• Optional 10 paid days per full calendar year to volunteer.

• Annual bonuses may be available for non-sales roles.