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Airship
Airship

Data Analyst

datafull-timeRemote - U.S.
SALARY
Not listed
WORK TYPE
hybrid
JOB TYPE
full-time
INDUSTRY
general
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About the role

What You'll Do

  • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
  • Undertake data collection and implement business product solutions
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
  • Design and build technical processes to address business issues
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Perform data consolidation/data analysis and communicate findings in a clear manner to external clients
  • Communicate directly with internal stakeholders as well as clients to translate business/data challenges into reports, insights, and analysis
  • Create and maintain dashboards to track partner’s KPI in data visualization software (Data Studio, PowerBI, Tableau)
  • Develop and implement data collection systems, data analyses and new strategies to measure campaign performances
  • Create documentation for various types of reports including methodologies, templates in Excel, slides, and/or sheets for training purposes
  • Work closely with clients, programmers, and functional teams to design business intelligence and operational reporting solutions for decision making and compliance monitoring
  • Research industry changes & provide insight on how to proceed with new processes
  • Train, develop and assist on supervising analyst-level employees
  • Ad-hoc special projects

What We're Looking For

  • 2+ years of experience in finance, mobile marketing, and/or data analytics
  • Strong understanding of client needs to deliver logical business conclusions
  • Strong critical thinking skills and creativity regarding methodology to measure business success
  • Writing and editing scripts (JavaScript, Python, R)
  • Proficient in managing and writing performant queries to a data warehouse/database (MySQL, BigQuery)
  • Experience with reporting, analyzing, and delivering data
  • Highly proficient in Microsoft Excel, Google Workspace and Microsoft PowerPoint
  • Proficient in generating reports in data visualization software (Data Studios, PowerBI, Tableau)
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