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Data Analyst - Weekly Pay Contract

DataDriven Solutions LLC
Albuquerque
Estimated Salary
USD 25 – USD 35
Live Update
1 Agustus 2026
Deadline
1 Agu 2027

Job Description

Join DataDriven Solutions LLC, a cutting-edge analytics firm revolutionizing business intelligence in the Southwest! We're seeking a talented Data Analyst to transform raw data into actionable insights. This contract position offers weekly pay, flexible scheduling, and the opportunity to work with Fortune 500 clients. Our collaborative team values innovation, precision, and work-life balance.

Why You'll Love Working With Us:

  • Weekly paycheck with no delays
  • Remote-friendly with optional office space in downtown Albuquerque
  • State-of-the-art analytics tools and training budget
  • Project-based work with diverse industry exposure

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify business trends
  • Create interactive dashboards in Tableau and Power BI for executive stakeholders
  • Develop automated reporting pipelines to streamline data workflows
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Present findings to leadership through compelling visualizations and narratives
  • Maintain data integrity across multiple cloud platforms (AWS, Azure)
  • Optimize data collection methods to improve accuracy and efficiency

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (or equivalent experience)
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced knowledge of visualization tools (Tableau/Power BI)
  • Strong statistical modeling and hypothesis testing abilities
  • Experience with ETL processes and data warehousing
  • Proven track record of translating data into business strategies
  • Excellent communication skills with executive stakeholders

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis ETL AWS Azure Data Warehousing

Ready to Take This Challenge?

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