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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

DataDriven Solutions Inc.
El Paso
Estimated Salary
USD 62.400 – USD 78.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic analytics team at DataDriven Solutions Inc. as a Data Analyst in sunny El Paso, TX! We're seeking a detail-oriented professional to transform complex datasets into actionable insights that drive strategic decisions. Enjoy the unique benefit of weekly pay while working in a collaborative, growth-oriented environment. Perfect for candidates seeking financial flexibility and impactful work in the Sun City.

Why You'll Love Working With Us: Competitive weekly compensation, modern tech stack, hybrid work options, and career advancement opportunities in one of Texas's fastest-growing tech hubs.

Responsibilities

  • Design, develop, and maintain automated data pipelines using SQL and Python
  • Create compelling visualizations and dashboards using Tableau/Power BI
  • Analyze complex datasets to identify trends and business opportunities
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Monitor KPIs and generate weekly performance reports for stakeholders
  • Ensure data integrity through rigorous validation and quality checks
  • Present findings to executive leadership with clear, actionable insights

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of professional data analysis experience
  • Expert proficiency in SQL and data visualization tools (Tableau/Power BI)
  • Strong knowledge of Python (Pandas, NumPy) for data manipulation
  • Experience with statistical analysis and hypothesis testing
  • Proven ability to translate technical findings into business recommendations
  • Excellent communication skills with ability to present to non-technical audiences
  • Experience with cloud platforms (AWS/GCP/Azure) preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Data Pipeline Development Business Intelligence

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