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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Jacksonville, FL

DataSolutions Pro
Jacksonville
Estimated Salary
USD 65.000 – USD 80.000
Live Update
14 Agustus 2026
Deadline
14 Agu 2027

Job Description

Join DataSolutions Pro as a Data Analyst on our dynamic weekend shift! This role offers the unique opportunity to work in a fast-paced environment while enjoying weekdays off. You'll transform raw data into actionable insights that drive business decisions, collaborate with cross-functional teams, and contribute to cutting-edge analytics projects. We provide competitive benefits, flexible scheduling, and a supportive culture that values work-life balance. If you're passionate about data and seeking a non-traditional schedule, this is your chance to excel!

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for stakeholders
  • Monitor key performance indicators (KPIs) and provide weekly analytical summaries
  • Collaborate with marketing and operations teams to optimize weekend customer engagement strategies
  • Develop automated data pipelines to ensure weekend reporting accuracy and efficiency
  • Present findings to senior leadership with clear, actionable recommendations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with weekend shift or flexible schedule exposure
  • Expert proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
  • Strong knowledge of statistical analysis and experimental design principles
  • Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
  • Exceptional problem-solving skills with attention to detail
  • Ability to work independently during weekend shifts with minimal supervision

Required Skills

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

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