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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataSolutions Tucson
Tucson
Estimated Salary
USD 65.000 – USD 75.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join DataSolutions Tucson as a Weekend Data Analyst and transform raw data into actionable insights that drive business decisions. This unique full-time weekend shift (Saturday/Sunday 6am-4pm) offers the perfect work-life balance for night owls and weekend warriors. You'll be part of a dynamic team supporting Fortune 500 clients across healthcare, retail, and logistics sectors.

Our Tucson headquarters features cutting-edge analytics tools, flexible scheduling, and a culture that values work-life harmony. This role includes comprehensive benefits, remote work flexibility, and opportunities for professional growth in one of America's fastest-growing tech hubs.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and anomalies
  • Create interactive dashboards and reports using Tableau and Power BI
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Develop automated data pipelines to ensure real-time analytics capabilities
  • Present findings to executive stakeholders through compelling visualizations
  • Maintain data integrity and implement quality control measures
  • Support weekend system upgrades and data migrations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python preferred)
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and hypothesis testing abilities
  • Experience working with large datasets and cloud platforms (AWS/GCP)
  • Ability to thrive in weekend shift schedule with excellent problem-solving skills

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Data Warehousing Business Intelligence

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