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Data & Analytics 🏢 Full Time ⭐️ Verified

Senior Data Analyst

AgriTech Innovations Inc.
Fresno, CA
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
1 September 2026
Deadline
1 Sep 2027

Job Description

Join AgriTech Innovations as a Senior Data Analyst and transform agricultural data into actionable insights that drive sustainable farming solutions. We're seeking a detail-oriented professional to join our dynamic team in Fresno, CA. You'll leverage cutting-edge analytics to optimize crop yields, reduce waste, and support our mission to revolutionize farming technology through data-driven decision making.

Why Join Us? We offer competitive compensation, flexible work arrangements, and opportunities for professional growth in a rapidly expanding industry. Our collaborative culture values innovation and continuous learning, with regular hackathons and sponsored certifications.

Responsibilities

  • Analyze complex agricultural datasets using SQL, Python, and R to identify trends and opportunities
  • Develop interactive dashboards and visualizations using Tableau/Power BI for stakeholder reporting
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Design and implement statistical models to predict crop performance and resource allocation
  • Present findings to executive leadership with actionable recommendations
  • Maintain data integrity through rigorous validation and quality control processes
  • Stay current with industry advancements in agricultural technology and analytics

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field (Master's preferred)
  • 3+ years of professional data analytics experience with agricultural or supply chain data
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong understanding of statistical modeling techniques (regression, clustering, forecasting)
  • Excellent communication skills with ability to translate complex insights for non-technical audiences
  • Experience with large datasets and cloud platforms (AWS, GCP, or Azure)
  • Proven ability to manage multiple projects in a fast-paced environment

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Agriculture Predictive Modeling Power BI Data Cleaning Cloud Platforms

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