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Fusemachines

Democratizes AI education and enterprise solutions

Data Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeKathmandu, NepalNo salary listedIn-person

About the Job

Requirements

  • Expert proficiency and mandatory experience with the Microsoft Business Intelligence stack, including Power BI, Power Automate, Azure, SQL Server, DevOps, and Git.
  • Expert ability to write SQL queries and use Data Analysis Expressions (DAX) for custom calculations on complex enterprise data warehouses.
  • Strong knowledge of logical and semantic data modeling.
  • A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.
  • Strong experience with Agile/Scrum methodologies.
  • Demonstrated leadership to mentor junior analysts.
  • Ability to translate complex insights to non-technical stakeholders.

Responsibilities

  • Design, develop, and maintain analytical workflows and visual representations using Power BI reports, dashboards, and apps.
  • Lead the data lifecycle, including data collection, cleaning, modeling, and quality assurance to ensure data integrity.
  • Design, develop, and implement automated business processes using Power Automate.
  • Collaborate with cross-functional teams to translate business requirements into technical data and report specifications.
  • Ensure the availability and optimal performance of developed analytical artifacts.

About the Company

Fusemachines

Democratizes AI education and enterprise solutions

Fusemachines delivers AI education and AI solutions to businesses worldwide. It helps people learn AI through a model that pairs coursework with real-world projects, giving students practical experience while companies receive hands-on AI implementations. The company differentiates itself by directly connecting AI talent with industry needs and by integrating training with real projects, rather than offering only classroom learning. Its growth has been supported by significant funding, which expands its programs and capabilities. The goal is to democratize AI by making AI education and technology accessible to individuals and organizations alike, helping to build a broader base of AI skills and practical applications.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2013

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