Senior Data Analyst, Energy Data & Insights (Federal)

The Building People; Washington (District of Columbia); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical & Rx

Dental

Vision

401(k) Retirement Plan

Life Insurance/AD&D

Long Term Disability

Paid Time Off

Holiday Pay

Job summary

The Building People, LLC is seeking a Senior Data Analyst to support the U.S. Department of Energy's CMEI, leading data collection, analysis, and reporting across leadership levels.

You will design data solutions with R, Python, C++, and JavaScript, build self-service tools for data consumers, and drive data quality through metadata, lineage, and business definitions while collaborating with cross-functional teams to produce actionable intelligence products.

Qualifications

• 8 years of experience; Master’s degree may substitute for two years.
• Bachelor's degree required.
• Strong writing and editing skills; strong communication and organizational abilities.

Responsibilities

• Identify new data sources and methods for data collection, analysis, and reporting.
• Gather customer requirements and determine technical issues.
• Design algorithms and data manipulation using R, Python, C++, and JavaScript.
• Build data solutions and self-service tools for data consumers.
• Improve data quality by ensuring metadata, lineage, and business definitions.
• Collaborate with teams to produce qualitative and quantitative data for intelligence products.
• Research and assist in developing requirements for CMEI systems including IACC, SCEP, and FEMP.
• Develop and implement system alternatives to meet program deliverables.

Skills

Strong writing

Written and oral communication

Organization

Education

Bachelor's degree

Tools

R

Python

C++

JavaScript

Microsoft Office Suite

Job description

The Building People, LLC is seeking a Senior Data Analyst to support the U.S. Department of Energy's CMEI, leading data collection, analysis, and reporting across leadership levels.

You will design data solutions with R, Python, C++, and JavaScript, build self-service tools for data consumers, and drive data quality through metadata, lineage, and business definitions while collaborating with cross-functional teams to produce actionable intelligence products.