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Urgent: Data Analyst (Weekend Shift) - Albuquerque, NM

TechNova Solutions
Albuquerque, NM
Estimated Salary
USD 70.000 – USD 90.000
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join TechNova Solutions' elite data team in Albuquerque! We're urgently seeking a Weekend Shift Data Analyst to transform raw data into actionable insights. This role offers hybrid flexibility and the chance to impact cutting-edge projects at one of America's fastest-growing tech hubs. If you're a numbers enthusiast who thrives in dynamic environments, this is your moment.

Why TechNova? Our Albuquerque campus features state-of-the-art analytics labs, unlimited learning stipends, and a culture where innovation is celebrated. Enjoy competitive compensation, comprehensive benefits, and the unique opportunity to work during weekend hours while maintaining work-life balance.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities for business optimization
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Develop and maintain automated reporting systems for key performance metrics
  • Validate data integrity and implement quality control processes
  • Present findings to executive stakeholders through compelling data narratives
  • Stay current with industry best practices in data analytics and visualization

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field (or equivalent experience)
  • 3+ years of professional data analysis experience with weekend shift availability
  • Proficiency in SQL, Python (Pandas, NumPy), and Excel/Google Sheets
  • Expertise in data visualization tools (Tableau, Power BI, or D3.js)
  • Strong statistical analysis and hypothesis testing skills
  • Experience with data warehousing concepts (ETL processes)
  • Excellent problem-solving abilities with attention to detail
  • Ability to work independently and communicate complex concepts clearly

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Excel Data Warehousing

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