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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

TechNova Analytics
Fresno
Estimated Salary
USD 55.000 – USD 75.000
New
Live Update
26 September 2026
Deadline
26 Sep 2027

Job Description

Join TechNova Analytics as an Entry Level Data Analyst and launch your career in data-driven decision-making! We're a leading tech company revolutionizing data solutions for Fortune 500 clients. In this role, you'll transform raw data into actionable insights using cutting-edge tools and methodologies. Our collaborative team environment offers mentorship from senior data scientists and opportunities to work on impactful projects. Enjoy competitive benefits, flexible work arrangements, and professional development stipends. Apply now to become part of Florida's growing tech ecosystem!

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify trends and business opportunities
  • Create compelling data visualizations and dashboards using Tableau and Power BI
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Develop automated reporting systems to monitor key performance indicators
  • Present findings to stakeholders through clear, concise data narratives
  • Ensure data integrity through rigorous validation and quality control processes
  • Support ad-hoc analysis projects to address immediate business needs

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • Proficiency in SQL for data extraction and manipulation
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong analytical problem-solving and critical thinking skills
  • Basic knowledge of Python or R for data analysis
  • Excellent communication abilities to explain technical concepts
  • Detail-oriented approach to data validation and reporting
  • Eagerness to learn new technologies and methodologies

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel Data Cleaning

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