Senior Data Analyst

The Building People Career Center; Washington (District of Columbia); On-site; USD 100,000 - 140,000; Full time

Job summary

The Building People is seeking a Senior Data Analyst for a full-time role with the U.S. Department of Energy. You will support CMEI leadership across all levels, performing data collection, analysis, and reporting tasks.

Responsibilities include identifying data sources, collecting requirements, designing algorithms, and building self-service data solutions to monitor and report on data quality and governance.

Qualifications

• Experience designing algorithms and data manipulation with R, Python, C++, and JavaScript.
• Ability to collect customer requirements and translate into data solutions.
• Proven ability to build self-service data capabilities for consumers.

Responsibilities

• Identify new data sources and methods to improve collection, analysis, and reporting.
• Collaborate with CMEI teams to produce qualitative and quantitative data for intelligence products.
• Develop data systems and tools to enable self-service reporting.
• Assist in defining metadata, lineage, and business definitions for data quality.

Skills

Data analysis

Requirements gathering

Data quality

Self-service reporting

Collaborative teamwork

Tools

R

Python

C++

JavaScript

Job description

The Building People, LLC, has a position open for a full-time Senior Data Analyst in the U.S. Department of Energy.

The Senior Data Analyst will support the Office of Critical Minerals and Energy Innovation (CMEI) leadership tasks across all levels of CMEI leadership by performing the following unclassified duties:

• Identifying new sources of data and methods to improve data collection, analysis, and reporting.
• Collecting customer requirements.
• Determining technical issues.
• Designing algorithms and data manipulation capabilities using R. Python, C++, JavaScript,
• Building data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data.
• Improving the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
• Working collaboratively teams to produce qualitative and quantitative data that support Intelligence products.
• Research and assist in developing management, professional, technical, and administrative requirements needed to support IACC, SCEP and FEMP and CMEI systems requirements.
• Develop systems’ alternatives and solutions that provide best value to the Program and CMEI in meeting program deliverables and mission.
• Implement systems’ alternatives and solutions that provide the best value to the Program and CMEI in meeting program mission and deliverables.