Power BI Data Visualization Engineer

Steampunk•McLean, VA
•$110,000 - $160,000

About The Position

Steampunk is seeking a Power BI Data Visualization Engineer to work with a large team of Steampunk employees and clients to identify data sources, tools, and mission challenges that can be combined to create decision-supporting insights. The role uses team and client data to provide meaningful information and data representations that help clients make better and quicker decisions. The position calls for a technologist with strong communication and customer service skills and a passion for data and problem solving. As a subject matter expert supporting a large contract for a major federal agency, the engineer will create visually appealing and operationally impactful dashboards and reports that translate client data into actionable insights. The role also contributes to the growth of Steampunk’s Data Exploitation Practice.

Requirements

  • Ability to hold a position of public trust with the US government.
  • Bachelor’s degree in Mathematics, Statistics, Data Science, or another related discipline.
  • At least 10 years of experience in the data science field, including mathematics, statistics, programming, modeling data, and machine learning with multiple data sets.
  • At least 1 year of leadership experience in a data science field, such as serving as a team lead, lead analyst, or mentor.
  • Ability to lead or participate in business sessions to identify and document analytic use cases.
  • Ability to take initiative and ownership, work independently, and manage simultaneous projects.
  • Excellent written and verbal communication skills, including the ability to explain advanced concepts in simple terms to audiences with varying levels of expertise.

Nice To Haves

  • Graduate degree in Mathematics or Statistics.
  • Current DEA or Secret Clearance.
  • Experience with health, law enforcement, or drug data.

Responsibilities

  • Create visually appealing and operationally impactful dashboards and reports that translate client data into actionable insights.
  • Apply expert knowledge of data visualization tools so client users can understand data, ask better questions, and take action.
  • Design, develop, and deliver analytics solutions while considering functionality, data, security, integration, infrastructure, and performance.
  • Collaborate with clients and stakeholders.
  • Help define enterprise data and technology needs for business intelligence and analytics.
  • Facilitate meetings involving diverse and sometimes conflicting points of view.
  • Support an Agile software development lifecycle.
  • Contribute to the growth of the Data Exploitation Practice.
  • Lead or participate in business sessions to identify and document analytic use cases.
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