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Broadband and Digital Equity Data Analyst DC

AHU Technologies

  • Washington, District of Columbia
  • 30+ days ago
  • $70 Per Hour

Highlights

Support the design, implementation, and analysis policy and program evaluations, including randomized controlled trials (RCTs), quasi-experimental analyses, and other methodologies as appropriate. AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States.

Numbers & Facts

LocationWashington, District of Columbia

Description

 Monitor, track and leverage publicly available broadband and digital equity data from the FCC, NTIA and other authoritative sources.
  • Manage all geospatial data collection and statistical analysis related to broadband and digital equity.
  • Assist with the development of a statewide broadband plan to include goals and objectives to expand broadband coverage and capacity for all DC Residents.
  • Participate in advisory and/or stakeholder workgroups to inform planning, mapping, and spending priorities for digital inclusion.
  • Assist stakeholders in efforts to identify and overcome barriers to broadband deployment and adoption.
  • Support the design, implementation, and analysis policy and program evaluations, including randomized controlled trials (RCTs), quasi-experimental analyses, and other methodologies as appropriate.
  • Monitor and measure implementation of the state broadband and digital equity plans.
  • Support the development of required state and federal reports.Skill Requirements:EXPERIENCE/KNOWLEDGE/SKILLS:
  • Strong communication skills both verbally and in-writing. A writing sample may be required.
  • Ability to conduct independent research on complex issues involving policy, economic, financial or technical matters.
  • Expert statistical analysis skills.
  • Expert GIS skills and 5+ years working with Esri tools (ArcGIS Online, ArcGIS Pro etc).
  • Deep experience with Business Intelligence and Statistical Modeling tools.
  • Expertise in at least one statistical programming language (R, Python, Stata, SAS, or similar)
  • Ability to write clear and concise reports or other materials appropriate for various audiences.
  • Ability to meet applicable deadlines.
  • Ability to develop and maintain cooperative and effective working relationships with various stakeholders.
  • Mastery of Microsoft Office products (Excel, Word, Access, and Outlook)
Compensation: $70.00 per hour

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