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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Relocation Assistance Offered

Nexus Analytics Solutions
Fort Worth
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
26 September 2026
Deadline
26 Sep 2027

Job Description

Join Nexus Analytics Solutions as a Data Analyst on our dynamic weekend shift team! We're seeking a detail-oriented professional to transform complex datasets into actionable insights while enjoying a balanced weekday schedule. With comprehensive relocation assistance, we'll help you seamlessly transition to Fort Worth's vibrant tech hub. This role offers remote flexibility and opportunities to impact strategic decisions across healthcare and retail sectors.

Our weekend shift (Fri-Sun 3PM-11PM) provides exceptional work-life balance, competitive benefits, and growth opportunities within our innovative data-driven culture. Relocation package includes moving stipend, temporary housing, and visa support for international candidates.

Responsibilities

  • Design and implement automated data pipelines for weekend operations
  • Perform advanced statistical analysis using SQL, Python, and Tableau
  • Create interactive dashboards for executive decision support
  • Collaborate with cross-functional teams to define KPIs
  • Validate data integrity and troubleshoot weekend reporting anomalies
  • Present findings to stakeholders through compelling visualizations
  • Optimize weekend data processing workflows

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field
  • 3+ years of experience with SQL and Python (Pandas, NumPy)
  • Proficiency in data visualization tools (Tableau/Power BI)
  • Experience with weekend or shift-based data operations
  • Strong statistical modeling and hypothesis testing skills
  • Ability to work independently during weekend shifts
  • Experience with cloud platforms (AWS/GCP) preferred
  • Excellent communication and presentation abilities

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Data Pipelines AWS Cloud Computing

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