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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Tampa, FL

Tampa Bay Analytics Solutions
Tampa, FL
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join Tampa Bay Analytics Solutions as a Data Analyst on our weekend shift! We're seeking a detail-oriented professional to transform complex datasets into actionable insights for our dynamic clients. This unique weekend schedule (Saturday-Sunday) offers exceptional work-life balance while contributing to cutting-edge analytics projects. Our collaborative team values innovation and professional growth, providing comprehensive training and mentorship. Enjoy competitive compensation, flexible scheduling options, and the opportunity to make a tangible impact in Tampa's thriving tech scene.

Responsibilities

  • Analyze large datasets using SQL, Python, and Excel to identify trends and business opportunities
  • Design and maintain interactive dashboards in Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated reporting pipelines to ensure data accuracy and efficiency
  • Present findings through clear visualizations and actionable recommendations
  • Support data integrity initiatives through regular audits and validation protocols
  • Adapt to evolving business requirements while maintaining weekend shift consistency

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift preference
  • Advanced proficiency in SQL, Excel, and data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and data modeling techniques
  • Experience with cloud platforms (AWS/Azure) and ETL processes
  • Exceptional problem-solving skills with attention to detail
  • Ability to communicate complex insights to non-technical stakeholders
  • Self-motivated with excellent time management in weekend work environment

Required Skills

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

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