Data Analytics

Idaho National Laboratory•Idaho Falls, ID

2d•Onsite

About The Position

Idaho National Laboratory is hiring a Data Analyst to work on our Business Management team. Our team works a 9/80 schedule located out of our Idaho Falls EROB facility with every other Friday off. You will report to the Chief Operating Officer for Business Management. The Data Analyst performs complex data analysis to support business operations including statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns. The Data Analyst creates and maintains statistical models for ongoing and ad hoc review and analysis of data. This position uses data visualization programs, tools, and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns.

Requirements

Level 2-Bachelor’s Degree and 2 years of experience in related field in Data Science or closely related field or a Master’s Degree in Data Science or related field
Level 3: Bachelor’s Degree and 5 years of experience in related field in Data Science or closely related field or a Master’s Degree and 2 years of experience in Data Science or related field
Experience in data science, data analysis, and visualization software using Power BI.
Skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Power BI, Tableau).
Ability to understand data structures.
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
Ability to apply general rules to specific problems to produce answers that make sense.
Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

Nice To Haves

Experience with cloud services and cloud-based analytics is a plus (AWS, Azure, Google Cloud Platform, etc.)
Experience with TeamMate+ for risk assessment, issue tracking and reporting.
Experience with Python, Natural Language Processing Techniques, Graph Databases, Relational Databases and a general understanding of data storage and processing.

Responsibilities

Perform statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns.
Work with business end-users to understand current and future data and analysis needs and develop technical requirements.
Partner with development and data management roles to identify and capture data required from internal and external sources.
Create and maintain statistical models for ongoing and ad hoc review and analysis of data.
Use data visualization programs, tools, and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns of business importance.