This is a full-time role with competitive benefits and opportunities for professional growth in the rapidly evolving field of AI. If you’re passionate about working with data and leveraging AI to make a real impact, we’d love to hear from you!
AI Data Analyst
67 days left
Apply Now
AI Data Analyst
67 days left
Apply NowJob role insights
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Date posted
February 9, 2026
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Closing date
February 9, 2026
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Salary
$10,000 - $15,000 /month
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Career level
Middle
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Qualification
Bachelor Degree
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Experience
3 – 5 Years
Description
We are seeking a highly skilled and motivated AI Data Analyst to join our dynamic team. As an AI Data Analyst, you will be responsible for analyzing large datasets and applying machine learning techniques to extract valuable insights and inform strategic decision-making. You will work closely with data scientists, engineers, and business leaders to uncover patterns and trends, helping to optimize processes and drive innovation within the company.
Key Responsibilities:
- Analyze complex datasets to identify trends, patterns, and actionable insights.
- Use machine learning algorithms and statistical methods to clean, transform, and model data.
- Collaborate with cross-functional teams to define business requirements and deliver data-driven solutions.
- Develop data visualizations, reports, and dashboards for internal stakeholders.
- Conduct exploratory data analysis (EDA) and hypothesis testing.
- Ensure data integrity and accuracy throughout the analysis process.
- Implement predictive models and algorithms to improve business performance.
- Present findings and recommendations to both technical and non-technical teams.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Proven experience as a Data Analyst, with a strong focus on AI and machine learning applications.
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with data analysis and visualization tools like Tableau, Power BI, or Matplotlib.
- Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn, Keras).
- Solid understanding of statistical techniques and data modeling methods.
- Strong problem-solving skills and ability to work with large datasets.
- Excellent communication skills, with the ability to explain complex data insights to a non-technical audience.
Preferred Qualifications:
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Knowledge of deep learning and neural networks.
- Familiarity with data wrangling and ETL processes.
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