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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Precision Insights Analytics
Wichita
Estimated Salary
USD 70.000 – USD 95.000
New
Live Update
16 Oktober 2026
Deadline
16 Okt 2027

Job Description

Join Precision Insights Analytics as a Senior Data Analyst and drive data-driven decisions from the comfort of your home office. We're seeking a passionate analyst to transform complex datasets into actionable insights that fuel our clients' growth. This fully remote position offers the flexibility to work while making a tangible impact in Wichita's thriving tech ecosystem. Enjoy competitive compensation, comprehensive benefits, and a collaborative culture that values innovation and work-life balance.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms
  • Create compelling data visualizations and executive dashboards using Tableau and Power BI
  • Perform statistical analysis to identify trends, anomalies, and growth opportunities
  • Collaborate with cross-functional teams to translate business questions into analytical solutions
  • Develop predictive models to forecast market trends and customer behavior
  • Present findings to stakeholders through clear, data-driven narratives
  • Maintain data integrity and ensure compliance with privacy regulations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with remote work
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical analysis and machine learning fundamentals
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Exceptional communication skills with ability to simplify complex data
  • Proven track record of delivering actionable insights to business stakeholders
  • Experience in healthcare, logistics, or manufacturing industries preferred

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Machine Learning Data Pipelines

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