Principal Data Analyst

Job Summary: 

ITS, LLC is seeking a Principal Data Analyst to support NASA’s Earth Observing System Data and Information System (EOSDIS) Evolution and Development 3 (EED-3) contract based out of Annapolis, Maryland.  Full time telecommuting or remote working is available for this position with quarterly on-site visits (2-3 days) to Annapolis for PI Planning.

Key Responsibilities:

The Principal Data Analyst is a key data analytics team member supporting the operation and evolution of EED enterprise systems and supporting infrastructure with data-driven recommendations. In this role, the Principal Data Analyst will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).

• Working backwards from customer questions to identify opportunities to improve understanding and efficiency of EED systems. 
• Conducting analysis of system operational data (i.e. system KPIs, cost, security) and interpreting data to help improve the reach and operational efficiency of EOSDIS.
• Communicating analytical findings to non-technical stakeholders to help guide organizational decisions. Recommending actionable next steps based on findings.
• Developing statistical and AI/ML modeling of data to help identify trends or anomalies in large data sets.
• Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, CloudWatch, and Google Analytics 4.
• Supporting data management activities including retention, curation, catalog management, and schema development or extensions to help best provide analytical insights.
• Strong statistical background with the ability to interpret data sets, produce statistical models, and generate insights.
• Demonstrated experience communicating with technical information, especially as relates to numeric / statistical information through data visualizations. Experience creating visualizations, dashboards, and reports using tools such as Kibana, Quicksight, Google Analytics, and CloudWatch.
• Experience with AI/ML model training, testing, and deployment. Ideal candidate should have an understanding of the various types of Machine Learning and when to best apply them.
• Experience querying and manipulating large data sets using tools such as SQL, Athena, Elasticsearch, and Splunk.
• Experience designing databases and schemas based on requirements from data consumers. Ideal candidate should have experience in a variety of data storage types, including relational databases (SQL), no-SQL databases, time-series databases, and object storage (S3).
• 3+ years of experience with scripting languages like Python or R

Preferred Qualifications:

• Experience with ETL tools including AWS Glue, Logstash, or Pyspark
• Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SND, SQS, Step Functions, CloudWatch, Kinesis
• Experience with infrastructure automation via Terraform or CloudFormation
• Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing.

Education/Experience:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
• 10 years of experience in an engineering role including 6+ years related to data analytics and 3+ years of machine learning experience.

Clearance Requirement: 

• Permission to work in the United States is required; U.S. citizenship is required.
• All candidates must be able to pass a National Agency Clearance with Inquires (NACI) screening.

Salary Note:

• In compliance with (State)’s Equal Pay for Equal Work Act, the salary range for this role is based on education, experience, and responsibilities. 

ITS, LLC. is an equal-opportunity employer to include veterans and individuals with disabilities. 

Physical Requirements: 

• The work is typically performed in an office environment, which requires normal safety precautions; work may require some physical effort in the handling of light materials, boxes, or equipment.