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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay - Kansas City, MO (Remote Option)

DataDriven Solutions Inc.
Kansas City
Estimated Salary
USD 65.000 – USD 85.000
Live Update
18 Agustus 2026
Deadline
18 Agu 2027

Job Description

Join our innovative team as a Data Analyst and transform raw data into actionable business insights! We're seeking a detail-oriented professional to drive data-driven decision-making in a dynamic environment. Enjoy weekly pay, flexible remote options, and a collaborative culture focused on growth and impact. You'll work with cutting-edge tools to solve complex challenges while contributing to high-visibility projects that shape our company's future.

Responsibilities

  • Develop and maintain automated data pipelines using SQL and Python for real-time analytics
  • Create compelling visualizations and dashboards in Tableau/Power BI to communicate key findings
  • Analyze large datasets to identify trends, anomalies, and growth opportunities
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Present data-driven recommendations to executive stakeholders through clear, concise reports
  • Optimize data collection systems to improve accuracy and efficiency
  • 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 experience in data analysis or business intelligence roles
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical analysis skills with experience in A/B testing and modeling
  • Excellent problem-solving abilities with attention to detail
  • Experience working with cloud platforms (AWS/GCP/Azure) preferred
  • Ability to translate complex data into actionable business insights
  • Strong written and verbal communication skills

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis A/B Testing Data Pipelines Business Intelligence

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