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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

DataVista Analytics
New York
Estimated Salary
USD 65.000 – USD 75.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Launch your data career with DataVista Analytics! We're seeking passionate entry-level Data Analysts to transform raw information into actionable insights. Our comprehensive training program and mentorship will equip you with industry-leading skills in data visualization, statistical analysis, and business intelligence. Join our innovative team in the heart of NYC and help drive data-driven decisions for Fortune 500 clients.

What We Offer:

  • Structured 6-month onboarding program with senior mentorship
  • Access to cutting-edge analytics tools and platforms
  • Clear career progression path to senior roles
  • Competitive benefits package including health insurance and 401(k)

Responsibilities

  • Collect, clean, and analyze structured/unstructured datasets using SQL and Python
  • Create interactive dashboards and reports using Tableau/Power BI
  • Identify trends and patterns to support strategic business decisions
  • Collaborate with cross-functional teams to translate data into actionable insights
  • Present findings to stakeholders through clear visualizations and narratives
  • Assist in developing automated data pipelines for ongoing analysis
  • Participate in A/B testing and experimental design projects

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (or equivalent experience)
  • Proficiency in Microsoft Excel (pivot tables, VLOOKUP, data modeling)
  • Basic understanding of SQL queries and database structures
  • Familiarity with data visualization concepts (no professional experience required)
  • Strong analytical thinking and problem-solving aptitude
  • Excellent written and verbal communication skills
  • Ability to learn new technologies quickly and adapt to evolving tools

Required Skills

SQL Excel Python Tableau Data Visualization Statistical Analysis Data Cleaning Communication

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