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Data Analyst - Weekend Shift

InnovateData Analytics
Houston
Estimated Salary
USD 75.000 – USD 95.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join InnovateData Analytics as a Weekend Shift Data Analyst and transform complex datasets into actionable business insights. This remote-friendly role offers competitive compensation, full benefits, and relocation assistance for qualified candidates. Work in a collaborative environment where your analytical skills drive strategic decisions for Fortune 500 clients. Enjoy a 4-day work week with weekends off while maintaining full-time status and career growth opportunities.

Responsibilities

  • Analyze large datasets using SQL, Python, and statistical modeling to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting systems to track KPIs and performance metrics
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Present findings and recommendations to senior leadership through clear, data-driven narratives
  • Maintain data integrity through rigorous validation and quality control processes
  • 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 professional data analysis experience with SQL proficiency
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong programming knowledge in Python or R with experience in pandas/scikit-learn
  • Experience with statistical analysis and hypothesis testing methodologies
  • Excellent communication skills with ability to explain complex concepts to non-technical audiences
  • Ability to work independently and manage multiple projects in a weekend shift schedule
  • Portfolio demonstrating data-driven solutions with measurable impact

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization ETL Processes Business Intelligence

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