Engineering Data Analyst
Listed on 2026-09-01
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager
Immediate need for a talented Engineering Data Analyst. This is a 06
-12 month contract opportunity with long-term potential and is located in Wichita, KS (Onsite).
Job Diva
-26201
Pay Range: $50-55/hr.
Employee benefits include, but are not limited to:
- health insurance (medical, dental, vision)
- 401(k) plan
- paid sick leave (depending on work location)
- Collect, clean, and process large volumes of multi-format engineering data (telemetry, test logs, simulation results, and maintenance data).
- Build interactive dashboards and automated reports (Power BI, Tableau) to track engineering KPIs, test progress, and operational reliability.
- Develop automated scripts (Python, R, SQL) for data ingestion pipelines, anomaly detection, and predictive modeling.
- Partner with Stress, Systems, and Flight Test engineering teams to translate complex engineering problems into scalable analytical solutions.
- Present statistical findings and trend analyses to program managers and chief engineers.
- Education:
Bachelor of Science (BS) in Engineering, Data Science, Statistics, Computer Science, or related technical field. - Experience:
3+ years of data analytics experience, preferably within aerospace, industrial manufacturing, or defense environments. - Advanced proficiency in SQL and relational/non-relational databases.
- Strong programming skills in Python (Pandas, Num Py, Sci Py) or R for statistical data processing.
- Hands-on expertise with visualization tools like Power BI or Tableau.
- Experience working with engineering data structures (time-series data, MATLAB outputs, or IoT telemetry).
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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