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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

Nexus Analytics Inc.
Sacramento
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join Nexus Analytics Inc. as a Weekend Data Analyst and transform raw data into actionable insights! We're seeking a detail-oriented professional to support our Sacramento-based team with weekend shifts (Saturday/Sunday). This hybrid role combines technical expertise with strategic thinking to drive data-informed decisions. Enjoy competitive compensation, flexible scheduling, and opportunities for professional growth in a collaborative environment. If you're passionate about uncovering hidden patterns and want to make an impact outside traditional hours, we encourage you to apply!

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and anomalies
  • Create interactive dashboards and visualizations using Tableau/Power BI for stakeholders
  • Support weekend data processing pipelines and ensure data integrity
  • Collaborate with cross-functional teams to deliver actionable business insights
  • Generate weekly performance reports and present findings to leadership
  • Optimize data collection methods to improve accuracy and efficiency
  • Adhere to data privacy regulations and security protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with weekend shift availability
  • Proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Advanced experience with data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving skills
  • Excellent written and verbal communication abilities
  • Ability to work independently with minimal supervision during weekend shifts
  • Knowledge of data warehousing concepts and ETL processes

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel Data Warehousing ETL

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