Home Job Details
T
Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

TechNova Analytics
San Francisco
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
2 September 2026
Deadline
2 Sep 2027

Job Description

Join TechNova Analytics as an Entry-Level Data Analyst and launch your career in data-driven decision making! We're seeking passionate individuals to transform raw data into actionable insights that shape our product strategy. Work with industry-leading tools alongside top-tier data scientists in a collaborative, innovative environment.

Why TechNova?
Cutting-edge projects with Fortune 500 clients, mentorship from senior data leaders, and comprehensive benefits including 100% tuition reimbursement.

Responsibilities

  • Collect, clean, and analyze large datasets using SQL and Python
  • Build interactive dashboards with Tableau and Power BI
  • Identify trends and anomalies through statistical modeling
  • Collaborate with engineering teams to optimize data pipelines
  • Present findings to non-technical stakeholders through compelling visualizations
  • Support A/B testing frameworks for product optimization
  • Document data processes and maintain data quality standards

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • Proficiency in SQL and at least one programming language (Python/R)
  • Familiarity with data visualization tools (Tableau/Power BI)
  • Basic understanding of statistical analysis methods
  • Strong problem-solving and critical thinking skills
  • Ability to communicate complex concepts clearly
  • 0-2 years of relevant internship or academic project experience
  • Portfolio demonstrating data analysis projects preferred

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization Excel Data Cleaning A/B Testing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All