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Senior Data Analyst

Kake
2 hours ago
Full-time
Remote
United States

We’re looking for a Senior Data Analyst with deep expertise in Microsoft Power BI and Microsoft Fabric to help drive data-informed decision-making across a dynamic organization. You’ll partner with cross-functional teams to build scalable analytics solutions, transform complex datasets into clear insights, and support strategic initiatives. This role requires a strong balance of technical proficiency, analytical thinking, and communication skills. If you thrive in a fast-paced, remote environment and enjoy turning data into impact, this could be a great fit.

Key Responsibilities

  • Build and maintain robust dashboards and reports using Power BI
  • Utilize Microsoft Fabric to develop and optimize data pipelines and analytics workflows
  • Work closely with stakeholders to define metrics, KPIs, and reporting needs
  • Perform data extraction, transformation, and modeling to support analytics use cases
  • Analyze and interpret data to provide actionable business insights
  • Ensure data quality, consistency, and performance across reporting solutions
  • Present insights and recommendations to stakeholders across the organization

Core Requirements

  • 5+ years of experience in data analytics or similar roles
  • Strong hands-on experience with Microsoft Power BI (including DAX and data modeling)
  • Experience working with Microsoft Fabric or similar modern data platforms
  • Advanced proficiency in SQL
  • Experience with data transformation and ETL processes
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills in English
  • Ability to work independently in a remote, fast-paced environment

Nice-to-Have

  • Experience with Azure ecosystem tools (e.g., Synapse, Data Factory)
  • Familiarity with scripting languages such as Python or R
  • Experience in high-growth or tech-driven companies
  • Understanding of data architecture and warehousing concepts

Additional

  • US Timezone Overlap: 6–7 hours with GMT-5
  • Self-starter with strong ownership and attention to detail