Principle Data Analyst

Title:

Principle Data Analyst

Belong. Connect. Grow. with KBR! 

Around here, we define the future.

But we all share one goal: to improve the world responsibly as a company of innovators, thinkers, creators, explorers, volunteers, and dreamers.

KBR is seeking a highly motivated Data Analyst to support NASA’s Earth Observing System Data and Information System (EOSDIS) Evolution and Development 3 (EED-3) contract.  KBR is a subcontractor on RTX’s EED-3 team to provide Earth scientists and others access to data from NASA’s Earth Science missions. As a member of the EED-3 team, you will work in a fast-paced Agile environment that ensures the accurate and timely design, development, and deployment of products and services that allows the large collection of NASA earth science data to be more discoverable by the end user community

As a member of the EED-3 team you will ensure adherence to operational agreements and polices, compliance to program and NASA standards and requirements, leveraging of industry best practices for automation and scalability of assets, and implementation of issue detection and alerts.  

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).  

*** Must be US Citizen or a Permanent Resident/Green Card holder. ***

Duties & Responsibilities:

The following are expected to be carried out by the Principal Data Analyst: 

• 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. 

Required Education, Experience, and /or Skills:

• 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   

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline 

• 10 years of experience (master’s 8+years) in an engineering role including 6+ years related to data analytics and 3+ years of machine learning experience (AWS/Google Cloud environment / Related experience)

Desired 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. 
• Quarterly travel for a few days may be required for quarterly planning.

Basic Compensation:

$155,400.00 - $233,100.00

The offered rate will be based on contract affordability and the selected candidate's working location, knowledge, skills, and/or experience and in consideration of internal parity.

Must be US Citizen or a Permanent Resident/Green Card holder.

Experience and/or Education in lieu of these qualifications will be reviewed for applicability to meet these requirements.

KBR Benefits​

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.  We support career advancement through professional training and development.​

Click here to learn more: KBR Benefits

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.