Data Scientist: Analytics for Engineering & Manufacturing

US Conec Ltd.; Hickory (NC); On-site; USD 52,000 - 76,000; Full time

Benefits offered by this job

4 weeks PTO

Medical, dental, and vision coverage

401(k) with employer match

Career growth opportunities

Job summary

US Conec, Ltd. is seeking a Data Analyst I to support data-driven decision-making across research, engineering, and operational teams.

You will collect, analyze, and visualize data to uncover insights that improve business performance, product development, and manufacturing processes. You will collaborate with engineers and cross-functional partners to ensure data accuracy, develop reporting solutions, and transform complex information into actionable recommendations.

Qualifications

• Bachelor’s degree required or equivalent practical experience.
• 0–2 years of data analytics, statistics, engineering, or related field experience.
• Proficiency with Python, SQL, or R for data analysis.
• Experience creating data visualizations, reports, or dashboards.

Responsibilities

• Collect, organize, and analyze metrology, manufacturing, operational, and business data from multiple sources.
• Identify trends, patterns, and anomalies to support research and operational objectives.
• Clean, validate, and prepare data by resolving errors and inconsistencies.
• Apply statistical analysis to support data-driven recommendations and decisions.
• Create and maintain reports, dashboards, and visualizations communicating key findings.

Skills

Python

SQL

R

Data visualization

Analytical thinking

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field

Tools

Tableau

Power BI

Excel

Job description

US Conec, Ltd. is seeking a Data Analyst I to support data-driven decision-making across research, engineering, and operational teams.

You will collect, analyze, and visualize data to uncover insights that improve business performance, product development, and manufacturing processes. You will collaborate with engineers and cross-functional partners to ensure data accuracy, develop reporting solutions, and transform complex information into actionable recommendations.