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Beeline

Junior Data Analyst

Beeline · United States

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  • Hybrid
  • Full-time
  • $60,000 / year
  • United States

Job highlights

  • Analyze data using Microsoft Fabric and SQL.
  • Develop Power BI dashboards and reports.
  • Collaborate with data scientists and engineers.
  • Gain exposure to data science and AI.
  • Grow into Senior Data Analyst/Scientist roles.

About the role

Junior Data Analyst

Position Purpose: As a Junior Data Analyst, you will be part of Beeline’s Data & AI team, working within our Microsoft Fabric ecosystem to deliver high-quality data products, insights, and analytics that drive business decisions. You will contribute to the full data lifecycle, including data modeling, transformation, analysis, and visualization, while gaining exposure to data science. You will work closely with Data Analysts, Data Scientists, and Platform Engineers in a hybrid operating model to ensure data is trusted, accessible, and actionable across the organization.

Responsibilities:

Data Preparation & Modeling (Fabric)
  • Query and analyze data using Microsoft Fabric SQL endpoints and Lakehouse
  • Support transformation of data across Bronze, Silver, and Gold layers
  • Assist in building and maintaining semantic models for reporting
Analytics & Insight Generation
  • Perform exploratory data analysis using SQL, Python (or notebooks) and PowerBI
  • Identify trends, patterns, and anomalies in business data
  • Support KPI definition, metric standardization, and documentation
Reporting & Data Products
  • 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, not just one-off reports
Cross-Functional Collaboration
  • Partner with business stakeholders to understand data needs
  • Work alongside 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
Continuous Learning & Growth
  • Develop skills in Microsoft Fabric, Power BI, and analytics engineering
  • Gain exposure to data science, experimentation, and AI use cases
  • Progress toward Sr. Data Analyst, Junior Data Scientist career path

Requirements:

  • 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

Salary requirement: $50k - $70k

Preferred Qualifications:

  • 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 through internships, academic projects, or bootcamps

Our Company:

For over 20 years, Beeline has empowered businesses worldwide to achieve competitive advantages with their extended workforce. The Beeline Extended Workforce Platform provides the visibility necessary to mitigate risks, realize cost savings, and adapt to dynamic business needs. With tailored solutions focused on the complexities of the extended workforce, clients can leverage Beeline products that meet their unique requirements. Through thousands of integrations, organizations can connect their extended workforce data across all technology stacks, including major procurement and HR systems. Join the ranks of renowned brands benefiting from Beeline’s seasoned expertise, collaborative innovation, and industry-leading partner network. Explore more at beeline.com.

Our Vision:

Every person, given the right opportunity, is capable of greatness. Every business, given the right talent, is capable of superior outcomes.

Our Mission:

Our trusted platform connects businesses to the remarkable talent within the global extended workforce.

To learn more about Beeline, our solutions, our culture, and available positions visit https://www.beeline.com/.

This list of "Requirements and Responsibilities" is not intended to be limiting. The Company reserves the right to revise this job description based on the actual job requirements as varied from time to time. Equal Opportunity Employer Minorities/Women/Veterans/Disabled

Key skills/competency

  • Junior Data Analyst
  • Microsoft Fabric
  • SQL
  • Power BI
  • Data Modeling
  • Data Analysis
  • Python
  • DAX
  • Semantic Models
  • Business Insights

Skills & topics

  • Junior Data Analyst
  • Data Analysis
  • SQL
  • Power BI
  • Microsoft Fabric
  • Data Modeling
  • Analytics
  • Business Intelligence
  • Python
  • DAX

How to get hired

  • Tailor your resume: Highlight SQL, Power BI, and any Microsoft Fabric experience. Quantify achievements from projects or internships.
  • Showcase technical skills: Emphasize your understanding of data analysis concepts and tools like SQL and Power BI.
  • Demonstrate collaboration: Provide examples of teamwork and communication in academic or project settings.
  • Prepare for interviews: Be ready to discuss data analysis scenarios and your problem-solving approach.
  • Understand Beeline: Research Beeline's mission and how data drives their extended workforce platform.

Technical preparation

Practice SQL queries for data manipulation and analysis.,Build sample Power BI dashboards from scratch.,Familiarize with Microsoft Fabric concepts.,Review basic data modeling and DAX principles.

Behavioral questions

Describe a complex data problem you solved.,How do you handle conflicting data interpretations?,Give an example of explaining technical insights.,How do you collaborate in a team environment?

Frequently asked questions

What is the primary focus for a Junior Data Analyst at Beeline?
The Junior Data Analyst at Beeline will focus on contributing to the Data & AI team's efforts within the Microsoft Fabric ecosystem. This involves data preparation, modeling, analysis, and visualization to generate insights and support business decisions, with exposure to data science.
What technical skills are essential for this Junior Data Analyst role?
Essential technical skills include proficiency in SQL for data querying and analysis, familiarity with Power BI or similar visualization tools, and a solid understanding of basic data analysis and statistical concepts. Experience with Microsoft Fabric is also highly valued.
What is the expected career progression for a Junior Data Analyst at Beeline?
Beeline offers a clear career path for Junior Data Analysts, with opportunities to progress towards roles like Senior Data Analyst or Junior Data Scientist, gaining experience in data science, experimentation, and AI use cases.
What kind of work environment can I expect as a Junior Data Analyst at Beeline?
You can expect a collaborative, fast-paced environment within Beeline's Data & AI team. The role operates under a hybrid model, encouraging cross-functional partnerships with Data Analysts, Data Scientists, and Platform Engineers.
How does Beeline use data to achieve business advantages?
Beeline leverages data through its Extended Workforce Platform to provide businesses with visibility for risk mitigation, cost savings, and adaptation to changing needs. Data analysis and insights are crucial for empowering clients and driving superior outcomes.
What is Beeline's mission and vision?
Beeline's vision is that every person is capable of greatness with the right opportunity, and every business can achieve superior outcomes with the right talent. Their mission is to connect businesses to remarkable talent within the global extended workforce through their trusted platform.
Does Beeline offer opportunities for learning and development in data analytics?
Yes, Beeline encourages continuous learning. As a Junior Data Analyst, you will develop skills in Microsoft Fabric, Power BI, and analytics engineering, and gain exposure to data science, experimentation, and AI use cases.