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MGT

Data Analyst – Global/Offshore

MGT

Data Analyst supporting data collection, analysis, and visualization for social impact strategy at MGT. Collaborating in an entrepreneurial environment to inform decision-making.

Posted 7/7/2026full-timeRemote • Florida • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, business intelligence, and software development, with a strong focus on creating impactful data visualizations and managing client metrics. Proficient in coding and utilizing advanced tools for data management and decision-making.

Highest-signal resume keywords
Data AnalysisBusiness IntelligencePython ProgrammingPower BIAI/ML Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data VisualizationData ManagementStatistical AnalysisData ModelingSQL ProgrammingR ProgrammingDashboard CreationResearchSoftware Development Life CycleClient Metrics Evaluation
Soft Skills
CommunicationProblem-SolvingCollaboration
Tools & Technologies
Power BITableauLookerQlikCRM Platforms
Industry Keywords
Data-Driven Decision-MakingClient Survey SystemCross-Functional DatasetsEmpirical EvidenceBusiness Strategy

Tech Stack

Tools & technologies
PythonSDLCSQLTableau

About the role

Key responsibilities & impact
  • Gather client metrics across the SIS business to be used in evaluating our impact and business strategy.
  • Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets.
  • Develop strategic data visualizations.
  • Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions.
  • Develop scalable data systems using advanced tools such as coding programs and AI.
  • Support software development and maintenance.
  • Support data management and analysis in CRM platforms.
  • Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.

Requirements

What you’ll need
  • Bachelor’s degree from an accredited college or university
  • Two (2) or more years of experience in research, business intelligence, statistics, data analysis, or similar.
  • Experience creating basic reports or dashboards using Power BI, Tableau, or other business intelligence tools (e.g., Looker, Qlik, or similar).
  • Experience in coding programs such as Python, SQL, R, or similar.
  • Experience in building or analyzing data models using AI/ML tools to identify trends, generate insights, and support data-driven decision-making.
  • Experience in software development life cycle and data analytics.
  • Advanced or Native-level English fluency.
  • Ability to be available during U.S. business working hours (ET time zone).

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development