Design and implement advanced statistical models and machine learning algorithms to extract insights from complex datasets
Conduct thorough exploratory data analysis to uncover trends, patterns, anomalies and insights
Collaboration:
Partner with stakeholders to understand business needs and translate them into analytical projects.
Translate complex analytical findings into clear, actionable recommendations for senior leadership
Project Leadership:
Lead multiple analytics projects simultaneously from inception to completion, managing timelines and resources effectively
Develop project plans, timelines, and resource allocation strategies
Ensure the successful delivery of insights that drive business performance
Visualization & Reporting:
Create visualizations, interactive dashboards and reports using tools like Power BI or similar to effectively communicate insights
Automate reporting processes to improve efficiency and accuracy
Research & Innovation:
Stay updated on industry trends, tools, techniques and emerging technologies in advanced analytics and data science
Experiment with new methodologies to continually enhance analytical capabilities
Challenge the status quo with data and innovative thinking
Qualifications and Education Requirements
Bachelor’s degree with 3+ year of experience or Master’s degree with 1+ year of experience in Data Science, Statistics, Mathematics, Computer Science, or a related field
Proven track record of delivering impactful analytics projects
Models’ agility in adapting to changing priorities
Strong problem-solving skills and the ability to work with complex datasets
Excellent quantitative and qualitative analytical skills
Strong collaborator with excellent organizational and communication skills
Data mining experience using SQL
Proficiency in programming languages like Python
Experience preferred in Rapid Miner or other ETL tools (e.g. Alteryx)
Experience with data visualization tools (e.g. Power BI)
