Data Analyst

This role will be instrumental in leveraging data insights to drive strategic business decisions. The ideal candidate is a data enthusiast with a passion for AI/ML, a strong command of Power BI, and the ability to craft compelling narratives that translate complex data into actionable recommendations. You will be a key player in bridging the gap between data and business strategy, working closely with stakeholders across various departments.

Responsibilities:

• Data Analysis & Modeling: Conduct in-depth data analysis using various techniques, including statistical modeling, machine learning algorithms, and data mining to identify trends, patterns, and insights.
• AI/ML Development & Implementation: Develop and implement AI/ML models to address specific business challenges, working with data scientists and engineers as needed. This may include model training, validation, and deployment.
• Power BI Development & Visualization: Design and develop interactive dashboards and reports in Power BI to visualize key performance indicators (KPIs) and provide actionable insights to stakeholders. Ensure data accuracy and consistency.
• Storytelling & Communication: Translate complex data analysis into clear, concise, and compelling narratives. Develop presentations and reports that effectively communicate insights and recommendations to both technical and non-technical audiences.
• User Experience (UX) Design: Consider the user experience when developing dashboards and reports. Ensure intuitive navigation, clear visualizations, and a user-friendly interface.
• Collaboration & Stakeholder Management: Collaborate effectively with cross-functional teams to understand business needs and translate them into data-driven solutions. Build strong relationships with stakeholders and communicate effectively throughout the project lifecycle.
• Continuous Improvement: Stay up-to-date with the latest trends in business analytics, AI/ML, and data visualization. Proactively identify opportunities to improve existing processes and methodologies.

Requirements:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field. Master's degree preferred.
• Proven experience (~ 3-4 years) in business analytics, with a focus on AI/ML.
• Strong proficiency in Power BI, including data modeling, DAX calculations, and report development.
• Experience with machine learning algorithms and tools (e.g., Python, R, scikit-learn, TensorFlow, PyTorch).
• Excellent data visualization and storytelling skills, with the ability to create compelling presentations and reports.
• Strong understanding of UX principles and best practices.
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Experience with IT industry is a plus.