About the Role
We are looking for a Data Analyst with strong analytical skills and hands-on experience in machine learning to join our growing team. In this role, you will turn complex data into actionable insights, build predictive models, and support data-driven decision-making across the organization. You'll collaborate closely with cross-functional teams to identify business opportunities, design analytical solutions, and drive innovation using data and AI.
Key Responsibilities
Data Analysis & Reporting:
- Collect, clean, and analyze structured and unstructured data from various sources.
- Develop dashboards, reports, and visualizations to present insights and business performance metrics.
- Identify trends, patterns, and correlations that drive strategic decisions.
Machine Learning & Predictive Modeling:
- Build and deploy machine learning models (e.g., regression, classification, clustering, recommendation systems) to solve business problems.
- Evaluate model performance and continuously optimize for accuracy and scalability.
- Collaborate with data engineers to integrate ML models into production environments.
Business Insights:
- Work with stakeholders to define analytical requirements and translate them into actionable data solutions.
- Support experimentation, A/B testing, and forecasting activities.
- Communicate complex findings in a clear and concise manner to non-technical audiences.
Data Governance & Quality:
- Ensure data accuracy, consistency, and security across platforms.
- Develop and maintain documentation for data processes and models.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- 1+ years of experience as a Data Analyst, preferably with exposure to machine learning or data science projects.
- Proficiency in Python (pandas, numpy, scikit-learn) and SQL.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong understanding of statistical analysis, data modeling, and predictive analytics.
- Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git).
- Excellent problem-solving, communication, and storytelling skills.