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Engineering Data Analyst Jobs in Texas

Data Engineering Jobs
By Gaze At Dallas, TX, United States
Collaborate with cross-functional teams to understand data requirements and business objectives.
Proven experience as a Data Engineer or similar role, with a strong portfolio of data engineering projects.
Strong knowledge of data warehousing concepts and data modeling techniques.
Experience with big data technologies (e.g., Hadoop, Hive, HBase) is a plus.
Excellent problem-solving skills and the ability to work with complex data structures.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Engineering Tech/Data Analyst
By Insight Global At Houston, TX, United States
5+ years of experience as an Engineering Technician or Data Analyst
Strong experience in SQL and Spotfire
Experience in Python and R Scripting
Background working in Oil and Gas
Bachelor's Degree (preferably in Computer Science or Information Technology)
Data Analyst, It Applications Engineering
By Tesla At Austin, TX, United States
Working knowledge of data management software like Airflow, or other ETL tools a plus.
2+ years in cross-functional project management experience.
Experience in project management, Jira
Continuously improve SQL and python skills, helping you automate repetitive work and multiply yourself
2+ years of prior experience as Systems/Data/Product/Program Analyst.
Strong communicational skills, organizational skills, negotiation skills, and flexibility to address competing demands.
Analyst, Senior Engineering Records Data
By Enterprise Products At , Houston, Tx
6+ years relevant work experience is required
1 year experience using TIBCO – Spotfire software is preferred
1 year experience in creating Python scripts to automate tasks is required
Experience analyzing GIS data is preferred
Experience using Python or R for data analysis is required
Experience in creating audience targeted, multi-facetted visualizations that quickly communicate complex data sets into meaningful representations is preferred
Manager, Data Engineering Jobs
By Toyota At , Plano, 75024, Tx
Provide thought leadership on data discovery, metadata management, lineage capture capabilities
Provide expertise on systems, market trends, technology directions, and product directions related to data governance and information management tools and capabilities
Identify and champion the roadmap for new technologies and infrastructure needs for data governance and data management capabilities
1. Strategy, Leadership, and Management
Manage Data Warehouse, ETL Design, and development teams
Guide continuous innovation and development of data capabilities
Equipment Engineering Analyst Jobs
By Tesla At Austin, TX, United States
1-2 years of people management experience or cross-functional project leadership experience is preferred.
Well-organized project management skills, program management background a plus.
Product Management certifications is a plus.
Schedule workforce in creating new dashboards and KPI metrics and report out on estimate completion timelines to department management.
Preferred candidates will have 3 – 5 years of related experience and/or training; or equivalent combination of education and experience.
Gather requirements for new reports or improvements from partner teams.

Are you looking for an exciting opportunity to use your engineering and data analysis skills to make a real impact? We are looking for a talented Engineering Data Analyst to join our team and help us make better decisions with data-driven insights. You will be responsible for analyzing large datasets, developing predictive models, and creating reports to help us make informed decisions. If you are passionate about data and engineering, this is the perfect job for you!

Overview Engineering Data Analysts are responsible for collecting, analyzing, and interpreting data related to engineering projects. They use their knowledge of engineering principles and data analysis techniques to identify trends, develop insights, and make recommendations to improve engineering processes. Detailed Job Description Engineering Data Analysts are responsible for collecting, analyzing, and interpreting data related to engineering projects. They use their knowledge of engineering principles and data analysis techniques to identify trends, develop insights, and make recommendations to improve engineering processes. They must be able to effectively communicate their findings to stakeholders and collaborate with other engineers to develop solutions. Engineering Data Analysts must be able to work independently and as part of a team. Job Skills Required
• Knowledge of engineering principles and data analysis techniques
• Proficiency in data analysis software such as Excel, Tableau, and SPSS
• Ability to interpret and analyze data
• Ability to identify trends and develop insights
• Ability to communicate findings to stakeholders
• Ability to work independently and as part of a team
• Ability to develop solutions to engineering problems
Job Qualifications
• Bachelor’s degree in engineering, computer science, mathematics, or a related field
• Experience in data analysis and engineering
• Proficiency in data analysis software such as Excel, Tableau, and SPSS
• Knowledge of engineering principles and data analysis techniques
• Excellent communication and problem-solving skills
Job Knowledge
• Knowledge of engineering principles and data analysis techniques
• Knowledge of data analysis software such as Excel, Tableau, and SPSS
• Knowledge of data visualization techniques
• Knowledge of statistical analysis techniques
Job Experience
• Experience in data analysis and engineering
• Experience in data visualization and statistical analysis
• Experience in developing insights and recommendations
• Experience in communicating findings to stakeholders
Job Responsibilities
• Collect and analyze data related to engineering projects
• Identify trends and develop insights
• Develop recommendations to improve engineering processes
• Communicate findings to stakeholders
• Collaborate with other engineers to develop solutions
• Monitor and evaluate engineering processes
• Maintain accurate records of data analysis