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Information Technology 🏢 Full Time ⭐️ Verified

Remote Data Analyst

Data Insights Inc.
Wichita, KS
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
17 Oktober 2026
Deadline
17 Okt 2027

Job Description

Join Data Insights Inc. as a Remote Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to drive data-driven decision-making for our growing client base. Enjoy 100% remote work flexibility while making an impact in Wichita's thriving tech sector.

Why You'll Love This Role:

  • 100% remote work with flexible hours
  • Comprehensive benefits package including health insurance
  • Professional development stipend
  • Collaborative team environment
  • Competitive salary with performance bonuses

Responsibilities

  • Analyze complex datasets using SQL and Python to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop automated reporting systems for key performance metrics
  • Collaborate with cross-functional teams to translate data insights into actionable strategies
  • Ensure data quality through rigorous validation and cleaning processes
  • Present findings to stakeholders through clear, concise reports and presentations
  • Stay current with industry best practices in data analytics and visualization

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Proficiency in SQL, Python (Pandas, NumPy), and R
  • Advanced expertise in data visualization tools (Tableau, Power BI, D3.js)
  • Strong statistical knowledge and experimental design skills
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Excellent communication skills with ability to translate technical concepts for non-technical audiences
  • Proven ability to manage multiple projects simultaneously in a remote environment

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Data Cleaning Reporting AWS R Pandas NumPy D3.js

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