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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

Apex Data Systems
Mesa
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

We are seeking a highly analytical and detail-oriented Data Analyst to join our growing team in Mesa, AZ. At Apex Data Systems, we understand the importance of financial stability; that is why we offer weekly pay for all our full-time employees. If you are passionate about turning raw data into actionable insights and want to work in a modern, collaborative environment, we want to hear from you.


As a Data Analyst, you will play a crucial role in shaping our business strategy by providing deep insights into market trends and internal performance metrics.

Responsibilities

  • Collect, clean, and interpret large sets of data to identify patterns and trends.
  • Develop and maintain complex SQL queries and data models to support business intelligence.
  • Create interactive dashboards and visualizations using Tableau, Power BI, or Looker.
  • Collaborate with cross-functional teams to define data requirements and deliver clear, concise reports.
  • Perform statistical analysis to forecast business outcomes and support decision-making processes.
  • Ensure data accuracy, integrity, and security across all platforms.
  • Present findings to stakeholders in a clear, compelling manner.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
  • 3+ years of professional experience in data analysis or a similar role.
  • Proficiency in SQL (PostgreSQL, MySQL, or Oracle) and Python or R.
  • Strong experience with data visualization tools (Tableau, PowerBI, or similar).
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently as well as in a team environment.
  • Strong communication skills to translate technical data for non-technical stakeholders.

Required Skills

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

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