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1160 | Middle Data Analyst

12 hours, 16 minutes ago
Kazakhstan
Full-time
Mid Level
Data Analyst
Data Science and Analytics
AWS Azure GCP Git Jupyter Machine Learning Matplotlib MySQL NumPy Pandas PostgreSQL Power BI Python R Scikit-learn SQL SQL Server Statistics Tableau
Apply Now
Intetics

Intetics

Intetics is a top custom software development company with 28 years of experience, offering high-quality software applications and AI/ML integration. They excel in various industries and provide global talent solutions for exceptional project outcomes.

Internet Software & Services
1K-5K
Founded 1995
View All Jobs 85

Description

  • Analyze large and complex datasets using statistical and quantitative methods.
  • Apply regression, hypothesis testing, probability analysis, simulations, and time-series analysis to identify patterns and trends.
  • Validate analytical outputs, investigate anomalies and outliers, and assess data quality.
  • Translate findings into practical recommendations for customers and internal stakeholders.
  • Design and maintain dashboards, reports, and visualizations for varied audiences.
  • Monitor reporting accuracy as data sources, business rules, and system configurations change.
  • Present analytical findings clearly to technical and non-technical stakeholders.
  • Research datasets, industry benchmarks, and external context to support business questions.
  • Use AI tools to support research, documentation, analysis, and quality-assurance workflows.
  • Stay current with relevant analytical tools, methodologies, data sources, and best practices.

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field.
  • At least 3 years of professional experience in data analysis, business intelligence, or a related role.
  • Strong knowledge of statistics and quantitative analysis.
  • Advanced SQL skills and experience working with large datasets.
  • Proficiency with a data visualization platform such as Power BI or Tableau.
  • Proficiency in Python, R, or another statistical programming language.
  • Experience creating dashboards, reports, and analytical presentations for varied stakeholders.
  • Excellent written and verbal communication skills.
  • Experience with Python libraries including pandas, NumPy, and scikit-learn; advanced Excel, Jupyter Notebook, and Git knowledge.
  • Preferred: master’s degree, cloud platform experience, machine learning knowledge, A/B testing, data governance, data quality, and AI workflow experience.

Interested in this position?

Apply directly on the company website

Apply Now

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