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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

InnovateData Solutions
Fresno
Estimated Salary
USD 75.000 – USD 95.000
Live Update
3 Mei 2026
Deadline
3 Mei 2027

Job Description

Join InnovateData Solutions as a remote Senior Data Analyst and transform raw data into actionable business insights. We're seeking a detail-oriented professional to drive data-driven decision-making for our growing client portfolio. This 100% remote role offers the flexibility to work from anywhere while collaborating with cross-functional teams across Fresno's thriving tech ecosystem.

Why Join Us? Enjoy competitive benefits, cutting-edge tools, and opportunities to advance your career in data analytics. Our inclusive culture values innovation and professional growth, making us a top employer in Central California's tech sector.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with product teams to design data collection methodologies and KPI tracking
  • Present findings to non-technical audiences through compelling visualizations and narratives
  • Develop automated data pipelines to improve reporting efficiency and accuracy
  • 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 experience in data analysis or business intelligence
  • Advanced proficiency in SQL, Python (Pandas/NumPy), and at least one BI tool (Tableau preferred)
  • Strong statistical knowledge with experience in hypothesis testing and regression analysis
  • Experience with cloud platforms (AWS/GCP/Azure) and data warehousing solutions
  • Exceptional problem-solving skills with attention to detail and accuracy
  • Ability to communicate complex concepts clearly to diverse stakeholders

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Data Warehousing

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