Junior Data Analyst

Beeline is an extended workforce platform company helping organizations manage and integrate global workforce data across technology stacks. The Junior Data Analyst will join the Data & AI team to build trusted, accessible analytics and data products within a Microsoft Fabric ecosystem to support business decision-making.

• Query and analyze data using Microsoft Fabric SQL endpoints and Lakehouse.
• Support data transformations across Bronze, Silver, and Gold layers.
• Assist in building and maintaining semantic models for reporting.
• Perform exploratory data analysis using SQL, Python (or notebooks), and Power BI.
• Identify trends, patterns, and anomalies in business data.
• Support KPI definition, metric standardization, and documentation.
• Develop and enhance Power BI dashboards and reports.
• Create and maintain DAX measures aligned to business definitions.
• Ensure dashboards are intuitive, performant, and aligned to business needs.
• Contribute to reusable data products rather than one-off reports.
• Partner with business stakeholders to understand data needs.
• Work with Data Scientists to prepare and validate datasets.
• Collaborate with Platform/Engineering teams on data availability and structure.
• Participate in agile workflows, demos, and code reviews.
• Continuously develop skills in Microsoft Fabric, Power BI, and analytics engineering and gain exposure to data science/AI use cases.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience).
• Experience with SQL for data querying and analysis.
• Familiarity with Power BI or similar visualization tools.
• Understanding of basic data analysis and statistical concepts.
• Strong problem-solving skills and attention to detail.
• Effective communication skills with ability to explain insights clearly.
• Ability to work in a collaborative, fast-paced environment.

• Preferred:

  • Exposure to Microsoft Fabric, Azure, or modern data platforms.
  • Basic experience with Python or notebooks for analysis.
  • Familiarity with data modeling, DAX, or semantic layers.
  • Experience via internships, academic projects, bootcamps.

• Hybrid operating model.
• Salary range stated: $50k–$70k annually.
• Equal Opportunity Employer statement included.