Offer summary

Qualifications:

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., Strong statistical background with the ability to interpret data sets and produce statistical models., Experience with data visualization tools such as Kibana, Quicksight, and Google Analytics..

Key responsabilities:

Identify opportunities to improve understanding and efficiency of EED systems based on customer questions.

Conduct analysis of system operational data and interpret findings to enhance EOSDIS efficiency.

Communicate analytical findings to non-technical stakeholders and recommend actionable next steps.

Prepare data visualizations and reports for internal teams and program leadership using various analytics tools.

Job description

INNOVIM 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. 

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).

This position is REMOTE
U.S. citizenship is required

Responsibilities include:

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

REQUIRED 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.

DESIRED SKILLS/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.

INNOVIM is committed to providing superior work in the fields of science, engineering, data analytics and technology to government agencies. We offer competitive compensation packages, including comprehensive nationwide Medical/Dental/Vision insurance programs, life insurance, matching 401k contribution and Educational/Training support.

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