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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay

Central Valley Analytics
Fresno
Estimated Salary
USD 65.000 – USD 85.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join Central Valley Analytics as a Data Analyst and enjoy the unique benefit of weekly pay while driving data-driven decisions for our growing tech firm. We're seeking a detail-oriented professional to transform complex datasets into actionable insights that fuel our business strategy. In this Fresno-based role, you'll collaborate with cross-functional teams to optimize operations, identify trends, and deliver compelling visualizations. Our commitment to work-life balance and competitive compensation makes this an ideal opportunity for career-minded professionals in the Central Valley.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify business trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Develop automated data pipelines to improve reporting efficiency and accuracy
  • Collaborate with marketing, sales, and operations teams to support data initiatives
  • Present findings to leadership teams with clear recommendations for strategic action
  • Maintain data quality standards through rigorous validation and documentation processes

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau/Power BI) and Excel advanced functions
  • Strong knowledge of statistical analysis and hypothesis testing methodologies
  • Experience with data warehousing concepts and ETL processes
  • Proven ability to translate complex data into business-relevant insights
  • Excellent communication skills with ability to present to non-technical audiences

Required Skills

Data Analysis SQL Python Tableau Excel Data Visualization Business Intelligence Statistical Analysis ETL

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