Senior Power BI Dashboards and Insights Engineer

UNAVAILABLE; McLean (VA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Steampunk seeks a Power BI Data Visualization Engineer to translate complex data into actionable insights for client teams and a major federal contract. You will design compelling dashboards, collaborate with stakeholders, and contribute to the Data Exploitation Practice.

The role requires strong communication, leadership, and a passion for data problem solving, with a focus on delivering enterprise-grade analytics in an Agile environment.

Qualifications

• 10 years of data science experience with mathematics/statistics/programming/modeling data and ML across multiple datasets
• Leadership experience as team lead/mentor in data science
• Ability to lead or participate in analytic use-case discussions
• Ability to work independently and manage multiple projects
• Excellent written and verbal communication skills

Responsabilités

• Serve as SME for a large federal contract and create dashboards/reports translating data into actionable insights
• Leverage data visualization tools to deliver information enabling quick understanding and action
• Design, develop, and deliver analytics solutions considering functionality, data, security, integration, infrastructure, and performance
• Collaborate with clients and stakeholders
• Define enterprise data and technology needs to support BI and analytics
• Facilitate meetings with diverse viewpoints
• Support an Agile software development lifecycle
• Contribute to the growth of the Data Exploitation Practice

Connaissances

Public trust

Leadership

Communication skills

Self-starter

Formation

Bachelor’s degree in Mathematics/Statistics/Data Science or related

Graduate degree preferred

Outils

Data visualization tools

Description du poste

Steampunk seeks a Power BI Data Visualization Engineer to translate complex data into actionable insights for client teams and a major federal contract. You will design compelling dashboards, collaborate with stakeholders, and contribute to the Data Exploitation Practice.

The role requires strong communication, leadership, and a passion for data problem solving, with a focus on delivering enterprise-grade analytics in an Agile environment.