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Data Science 🏢 Full Time ⭐️ Verified

Junior Data Analyst (Entry Level)

Pioneer Data Solutions
Philadelphia
Estimated Salary
USD 55.000 – USD 65.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Launch Your Career in Data Analytics

Pioneer Data Solutions is seeking a motivated Junior Data Analyst to join our growing team in Philadelphia, PA. We are looking for individuals with a strong analytical mindset and a passion for turning raw data into actionable insights. This is an excellent entry-level opportunity for recent graduates or career changers eager to break into the tech industry with comprehensive training.

Why Join Us?

  • Comprehensive mentorship program for new analysts.
  • Opportunity to work with cutting-edge data tools and technologies.
  • Collaborative and inclusive work culture in the heart of Philadelphia.
  • Clear pathways for career advancement within the organization.

Responsibilities

  • Assist in Data Collection & Cleaning: Gather, organize, and clean large datasets from various sources to ensure accuracy and reliability.
  • Support Reporting: Create and maintain standard reports and dashboards to track key performance indicators (KPIs) for business stakeholders.
  • Data Visualization: Utilize tools like Tableau or PowerBI to present complex data findings in a clear, visual format.
  • Statistical Analysis: Perform basic statistical analysis to identify trends, patterns, and anomalies within the data.
  • Collaboration: Work closely with senior analysts and cross-functional teams to understand business requirements and provide data-driven recommendations.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field (recent graduates welcome).
  • No Experience Required: While prior professional experience is not mandatory, a strong academic background in data or math is preferred.
  • Technical Skills: Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP) is required; familiarity with SQL, Python, or R is a plus.
  • Analytical Mindset: Strong attention to detail and the ability to think critically about data quality and logic.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.

Ready to Start Your Journey?

Don't let a lack of experience hold you back. Apply today to become the next Junior Data Analyst at Pioneer Data Solutions.

Responsibilities

  • Assist in Data Collection & Cleaning: Gather, organize, and clean large datasets from various sources to ensure accuracy and reliability.
  • Support Reporting: Create and maintain standard reports and dashboards to track key performance indicators (KPIs) for business stakeholders.
  • Data Visualization: Utilize tools like Tableau or PowerBI to present complex data findings in a clear, visual format.
  • Statistical Analysis: Perform basic statistical analysis to identify trends, patterns, and anomalies within the data.
  • Collaboration: Work closely with senior analysts and cross-functional teams to understand business requirements and provide data-driven recommendations.

Qualifications

  • Education: Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field (recent graduates welcome).
  • No Experience Required: While prior professional experience is not mandatory, a strong academic background in data or math is preferred.
  • Technical Skills: Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP) is required; familiarity with SQL, Python, or R is a plus.
  • Analytical Mindset: Strong attention to detail and the ability to think critically about data quality and logic.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.

Required Skills

SQL Python Tableau PowerBI Excel Data Cleaning Statistical Analysis Reporting

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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