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).