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Weekend Data Analyst (Top Tech)

TechNova Solutions
San Jose
Estimated Salary
USD 100.000 – USD 140.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join TechNova Solutions as a Weekend Data Analyst and drive insights that shape our future! We're seeking a detail-oriented professional to transform complex datasets into actionable strategies for our Silicon Valley headquarters. This unique weekend shift (Fri-Sun) offers competitive compensation, flexible scheduling, and the opportunity to work with cutting-edge technologies in a collaborative environment.

As a key member of our analytics team, you'll leverage advanced tools to uncover trends, optimize operations, and support data-driven decision-making across departments. This role is perfect for analysts who thrive during off-peak hours and want to make a significant impact without traditional weekday constraints.

Responsibilities

  • Analyze large datasets using SQL, Python, and Tableau to identify business trends and opportunities
  • Create automated reporting dashboards for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Develop statistical models to forecast market behavior and customer patterns
  • Ensure data integrity through rigorous validation and quality control processes
  • Present findings to leadership teams through clear visualizations and documentation

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Strong experience with data visualization tools (Tableau, Power BI)
  • Knowledge of statistical modeling techniques and machine learning basics
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent problem-solving skills and attention to detail

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Business Intelligence Data Mining Predictive Modeling

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