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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

Data Dynamics Inc.
Mesa
Estimated Salary
USD 55.000 – USD 65.000
Live Update
18 Agustus 2026
Deadline
18 Agu 2027

Job Description

Join our innovative analytics team as an Entry Level Data Analyst and kickstart your career in data-driven decision making. At Data Dynamics Inc., we empower businesses with actionable insights, and we're looking for passionate individuals ready to make an impact. This role offers mentorship, hands-on experience with cutting-edge tools, and a clear path to growth within our Mesa headquarters.

What makes this role special? You'll work directly with senior analysts to transform complex datasets into strategic recommendations, collaborate across departments, and contribute to projects that shape our clients' success. Our culture values curiosity, collaboration, and continuous learning.

Responsibilities

  • Collect, clean, and analyze structured and unstructured datasets using SQL and Excel
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Identify trends and anomalies to support business decision-making processes
  • Prepare regular performance reports and presentations for stakeholders
  • Collaborate with cross-functional teams to define analytical requirements
  • Assist in developing automated data pipelines and quality checks
  • Participate in agile sprint planning and retrospectives

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • Proficiency in SQL and Excel (VLOOKUP, PivotTables, data modeling)
  • Basic knowledge of Python or R for data manipulation
  • Familiarity with data visualization tools (Tableau/Power BI)
  • Strong analytical problem-solving and critical thinking skills
  • Excellent written and verbal communication abilities
  • Detail-oriented with high accuracy in data handling
  • Eagerness to learn new technologies and methodologies

Required Skills

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

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