Senior Business Analyst

We are seeking a highly experienced Business Analyst with over 10 years of expertise in data analysis, business intelligence, and designing data-driven business solutions. The ideal candidate will possess advanced skills in statistical modeling, data visualization, and collaborating with cross-functional teams to deliver actionable insights that drive impactful business decisions.

Key Responsibilities

1. Business Process Analysis: Analyze processes to identify areas for improvement, utilizing data-driven insights.
2. Requirement Gathering: Collaborate with stakeholders to capture requirements and translate them into actionable models and business solutions.
3. Data Pipelines & Dashboards: Develop and maintain efficient data pipelines and dashboards supporting business intelligence initiatives.
4. Market Analysis: Conduct analysis and demand forecasting to assist in strategic planning and decision-making.
5. Report Generation: Create and maintain reports leveraging tools like QlikView and PowerBI.
6. Process Optimization: Monitor and improve business processes using statistical modeling techniques.
7. Performance Recommendations: Provide insights and recommendations based on data analysis to enhance efficiency and business outcomes.

Required Skills and Qualifications

Technical Expertise

• Programming Languages: Proficiency in Python (Jupyter, Pandas, Matplotlib, Scikit-learn, TensorFlow, PySpark), R, and SQL for advanced data analysis.
• Business Intelligence Tools: Hands-on experience with QlikView and PowerBI for visualization and reporting.
• Cloud Services: Familiarity with AWS (EC2, RDS, Glue) and Azure (Databricks, Data Factory) for managing and scaling cloud solutions.
• Version Control & Containerization: Knowledge of Git and Docker for collaboration and deployment.

Soft Skills

• Analytical & Problem-Solving: Strong ability to address complex challenges and derive data-driven solutions.
• Communication & Collaboration: Excellent skills for working effectively with cross-functional teams and conveying actionable insights clearly.

Key Competencies

• Technical Proficiency: Expertise in statistical modeling, cloud services, and data-driven tools.
• Strategic Thinking: Ability to use market analysis and demand forecasting to inform long-term decision-making.
• Collaboration: A dynamic team player capable of harmonizing diverse perspectives to achieve results