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Eximius AI Testing

Data Analyst-IT

Eximius AI Testing Texas City, Texas, United States

Software Development · 11-50 employees

6 h ago
data-analyst Mid (2-5 yrs) Temporary United States
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About the role

The Data Analyst will collect, clean, and analyze business data to provide actionable insights and support data-driven decision-making. Responsibilities include developing dashboards, monitoring KPIs, and automating recurring reports to improve data quality.

What they look for

SQL Excel Python Power BI Tableau Data Visualization Statistics Relational Databases Data Cleaning Data Analysis KPI Monitoring ETL Data Pipelines Snowflake AWS Azure

Requirements

Candidates must have at least 2 years of experience in data analytics and proficiency in SQL, Excel, and Python. A bachelor's degree in a quantitative field such as Computer Science, Statistics, or Mathematics is required.

Full description

Job SummaryWe are seeking a Data Analyst to collect, clean, analyze, and visualize business data and provide actionable insights to support data-driven decision-making.

Key Responsibilities• Extract and analyze data using SQL, Excel, and Python.

  • Clean, validate, and transform large datasets.
  • Develop dashboards and reports using Power BI or Tableau.
  • Identify trends, patterns, anomalies, and business opportunities.
  • Define and monitor KPIs and performance metrics.
  • Work with business and technical teams to understand requirements.
  • Present analytical findings and recommendations to stakeholders.
  • Automate recurring reports and improve data-quality processes.

Required Skills• 2+ years of Data Analytics experience.

  • Strong SQL and Excel skills.
  • Experience with Python, Power BI, or Tableau.
  • Knowledge of data visualization and basic statistics.
  • Experience working with relational databases.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Business, Engineering, or a related field.

Preferred: Experience with cloud platforms, ETL/data pipelines, Snowflake, AWS/Azure, or dbt.

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