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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

Nexus Analytics Group
Houston, TX
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join Nexus Analytics Group as a Weekend Data Analyst and transform complex datasets into actionable business insights! This unique full-time weekend shift opportunity allows you to work in a dynamic environment while enjoying weekdays off. Our Houston-based team empowers global clients with data-driven solutions, and we're seeking a passionate analyst to drive our weekend data operations. You'll collaborate with cross-functional teams to deliver strategic reports, optimize data pipelines, and support critical decision-making processes. Enjoy competitive compensation, flexible scheduling, and a culture that values work-life balance.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Monitor data quality and implement data cleansing procedures for weekend-generated datasets
  • Collaborate with weekday teams to ensure seamless data handover and continuity
  • Develop automated reporting scripts to enhance weekend operational efficiency
  • Present findings to leadership teams through concise, data-driven narratives
  • Support ad-hoc analysis requests from global clients across time zones

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Advanced proficiency in SQL and at least one programming language (Python/R)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and data modeling skills
  • Experience working with weekend or shift-based schedules preferred
  • Excellent communication skills with ability to translate technical concepts for non-technical audiences
  • Proven ability to manage deadlines in fast-paced environments

Required Skills

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

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