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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst - Remote (Memphis, TN)

DataVista Analytics
Memphis
Estimated Salary
USD 50.000 – USD 65.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Join DataVista Analytics as an Entry Level Data Analyst and launch your career in data-driven decision-making! We're seeking passionate individuals to transform complex datasets into actionable insights for our clients across healthcare, logistics, and retail sectors. This fully remote position offers mentorship, growth opportunities, and the chance to impact real-world business solutions.

Our collaborative team values curiosity and analytical rigor. You'll work with industry-leading tools and receive comprehensive training to accelerate your professional development. Enjoy flexible hours, competitive benefits, and the freedom to excel from anywhere in the US.

Responsibilities

  • Analyze large datasets using SQL, Excel, and Python to identify trends and anomalies
  • Create interactive dashboards and reports using Tableau/Power BI for stakeholder presentations
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Monitor key performance indicators and provide actionable recommendations
  • Assist in data cleaning and preprocessing to ensure data quality
  • Participate in agile sprint planning and retrospectives
  • Document analytical processes and methodologies for team knowledge sharing

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • Proficiency in SQL and Excel (required)
  • Basic knowledge of Python or R (Pandas preferred)
  • Familiarity with data visualization tools (Tableau/Power BI)
  • Strong problem-solving and critical thinking skills
  • Excellent written and verbal communication abilities
  • Ability to work independently in a remote environment
  • Portfolio demonstrating data analysis projects (school or personal)

Required Skills

SQL Excel Python Tableau Power BI Data Visualization Statistical Analysis Data Cleaning

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