Data Analyst

Job Description:
• The Launch Vehicles Continuous Improvement team is seeking a software engineer who will make significant and ongoing contributions to the maturation of our data-driven processes.
• You will collect, process and present information, including actionable insights, from multiple disparate data sets.
• The ideal candidate possesses both the analytical aptitude and problem-solving skills necessary for extracting value from a collection of Client data sets.
• In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale.
• As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data.

Responsibilities:
• Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Summarize and socialize data, make conclusions and provide direction on problems identified.
• Effectively generate ideas and support building tools to automate analysis processes.
• Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
• What you need to be successful in the role:
• Comfort with requirements-analysis and stake-holder engagement.
• Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
• Solid communication skills (written, verbal, and visual)
• Ability to communicate data and engineering analysis regarding conclusions that were reached.
• Ability to create and present data reports to support investigations.
• Excellent attention to detail.
• Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
• Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.

Basic Qualifications:
• Bachelor's degree in a technical area with 8 years of relevant experience (6 years with technical MS; 3 years with a PhD in related field)
• OR Bachelor's degree in a technical area with 2 years of relevant experience (0 years with technical MS)
• Knowledge of data gathering, cleansing and transformation techniques
• Experience with common data science toolkits such as Python and Tableau
• Experience using Python packages: pandas, numpy, matplotlib
• Experience developing and presenting data visualizations for scientific analysis
• Able to obtain and maintain a Secret clearance.

Preferred Qualifications:
• Product Lifecycle experience
• Proficient using query languages such as SQL
• Experience mentoring and leading peers in data science projects
• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
• JMP proficiency (SAS statistical tool) and experience scripting in JSL
• Gitlab CM and CI/CD experience
• MATLAB experience
• Linux experience