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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

DataViz Solutions Inc.
Wichita
Estimated Salary
USD 55.000 – USD 70.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join DataViz Solutions Inc., a rapidly growing data-driven leader, as an Entry Level Data Analyst! We're urgently seeking passionate individuals to transform raw data into actionable insights that drive business decisions. This fully remote position offers relocation assistance to Wichita, Kansas – a city with an affordable cost of living and vibrant tech community.

You'll collaborate with cross-functional teams to analyze complex datasets, identify trends, and present findings through compelling visualizations. If you're a recent graduate or early-career professional with analytical curiosity and technical aptitude, this is your chance to launch a rewarding career in data analytics.

Responsibilities

  • Collect, clean, and analyze structured/unstructured datasets using SQL and Excel
  • Create interactive dashboards and reports using Tableau or Power BI
  • Identify business trends and opportunities through statistical analysis
  • Collaborate with stakeholders to define data requirements and KPIs
  • Document data processes and maintain data quality standards
  • Present findings to leadership teams through clear visual storytelling
  • Support A/B testing initiatives and performance measurement

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 1-2 years of internship or academic data analysis experience
  • Proficiency in SQL and Microsoft Excel (vlookups, pivot tables)
  • Basic knowledge of data visualization tools (Tableau/Power BI)
  • Familiarity with Python or R for data manipulation
  • Strong problem-solving and critical thinking abilities
  • Excellent written and verbal communication skills
  • Ability to work independently in a remote environment

Required Skills

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

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