Job Description
Analyze business data, build AI/ML models, generate insights, automate reports, support decision-making, improve predictions, clean datasets, visualize trends, and collaborate with teams to solve real-world business problems effectively.
Responsibilities
- Collect, clean, validate, and organize business datasets daily.
- Build dashboards, reports, and visual analytics for stakeholders.
- Develop machine learning models for predictive business insights.
- Analyze trends, patterns, risks, and performance indicators.
- Automate repetitive data processing and reporting workflows.
- Collaborate with product, engineering, and business teams.
- Monitor model accuracy, performance, and data quality.
- Present actionable insights using clear business storytelling methods.
Required Skills
- Strong SQL, Python, Excel, and data analysis skills.
- Knowledge of machine learning algorithms and model evaluation.
- Experience with Power BI, Tableau, or visualization tools.
- Understanding of statistics, probability, and predictive analytics.
- Ability to clean, transform, and interpret datasets.
- Good communication, problem-solving, and business analytical thinking.
Note: Salary depends on experience and skills and is paid in local currency.