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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst - Relocation Assistance Available

DataDriven Solutions Inc.
Oakland
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
20 September 2026
Deadline
20 Sep 2027

Job Description

Join DataDriven Solutions Inc. as a Night Shift Data Analyst and transform data into strategic insights! We're offering comprehensive relocation assistance for qualified candidates moving to Oakland, CA or Texas. Work in a dynamic environment where your analytical skills directly impact business decisions. Enjoy competitive compensation, flexible scheduling, and opportunities for career growth. Apply today and become part of our innovative team!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Create interactive dashboards and reports using SQL, Python, and visualization tools
  • Collaborate with cross-functional teams to define data requirements and deliver solutions
  • Ensure data accuracy through rigorous validation and quality control processes
  • Develop predictive models to forecast business outcomes and support strategic planning
  • Present findings to stakeholders through clear, compelling visualizations and narratives
  • Optimize data pipelines for efficiency and scalability across multiple systems

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with SQL and Python proficiency
  • Strong expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Experience working with large datasets and cloud platforms (AWS/Azure)
  • Ability to work independently during night shift hours (11 PM - 7 AM)
  • Excellent problem-solving skills with attention to detail
  • Strong communication skills for presenting complex data to non-technical audiences
  • Eligible for relocation assistance to Oakland, CA or Texas

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Azure

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