Job Summary:

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).

Responsibilities:

  • 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 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

Desired Skills:

  • 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.
  • 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.

Sure Secure Solutions is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment contingent upon successful completion of a background investigation.


At Sure Secure Solutions we have an enjoyable working environment, offering competitive benefit packages and surrounded with professionals who have the subject matter expertise to develop innovative, cutting-edge business solutions in an ever-evolving technology landscape. The benefits include Dental Insurance, Vision Insurance, Life insurance, Long and short-term disability, Paid time off, 401(k) Retirement plan. More specific information on benefits eligibility will be provided as part of the interview process.

This is a full-time Role. U.S. citizenship is required. All candidates must be able to obtain a National Agency Clearance with Inquiries (NACI).

Job Type: Full Time
Job Location: Remote

Apply for this position

Allowed Type(s): .pdf, .doc, .docx