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Data Analyst (Weekend Shift) - Long Beach, CA

InnovateData Solutions
Long Beach
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join InnovateData Solutions as a Weekend Data Analyst and transform raw data into actionable insights that drive business growth. We're seeking a detail-oriented professional to join our dynamic team in Long Beach, CA. This unique weekend shift opportunity offers flexible scheduling while allowing you to make significant impact in a collaborative, data-driven environment. Enjoy competitive compensation, professional development opportunities, and the chance to work with cutting-edge analytics tools.

Our ideal candidate thrives in fast-paced settings and possesses a passion for uncovering hidden patterns in complex datasets. You'll play a crucial role in supporting our clients' strategic decisions through rigorous data interpretation and visualization.

Responsibilities

  • Analyze complex datasets to identify trends, anomalies, and business opportunities
  • Create interactive dashboards and reports using SQL, Python, and Tableau
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Develop automated data pipelines to ensure accurate and timely reporting
  • Present findings to stakeholders through clear visualizations and actionable recommendations
  • Maintain data quality standards through rigorous validation and documentation
  • Support weekend operational analytics for e-commerce and retail clients

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of professional data analysis experience with weekend/shift work
  • Expert proficiency in SQL, Excel, and at least one visualization tool (Tableau/Power BI)
  • Strong programming skills in Python (Pandas, NumPy) or R
  • Experience with statistical analysis and A/B testing methodologies
  • Proven ability to communicate complex data insights to non-technical audiences
  • Certification in data analytics or related field (preferred)
  • Ability to work independently during weekend shifts with minimal supervision

Required Skills

Data Analysis SQL Python Tableau Statistical Analysis Data Visualization Excel A/B Testing Data Pipelines Business Intelligence

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