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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

DataVista Analytics
Tampa
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
5 Mei 2026
Deadline
5 Mei 2027

Job Description

Join DataVista Analytics as a Weekend Data Analyst and transform raw data into strategic insights while enjoying a flexible weekend schedule! We're seeking a detail-oriented professional to drive data-driven decisions for our Tampa-based clients. This unique weekend shift opportunity combines competitive compensation with the chance to work on high-impact projects without weekday distractions.

As a key member of our analytics team, you'll leverage cutting-edge tools to uncover trends, optimize operations, and deliver actionable reports. Our collaborative environment values innovation and work-life balance, making this ideal for professionals seeking non-traditional hours without compromising career growth.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting systems to monitor KPIs and performance metrics
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Validate data integrity and implement quality control measures across all deliverables
  • Present findings to leadership through clear, compelling narratives and visualizations
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence role
  • Expert proficiency in SQL with experience in complex query optimization
  • Strong knowledge of data visualization tools (Tableau, Power BI, Looker)
  • Proficient in Python (Pandas, NumPy) or R for statistical analysis
  • Experience with cloud platforms (AWS, Azure) and ETL processes
  • Exceptional problem-solving skills with attention to detail
  • Ability to work independently in a weekend shift environment

Required Skills

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

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