Specifically, You will:

• Lead data analysis projects from design through implementation, including conducting business review meetings, defining requirements and deliverables, reception of and processing of data, and presenting findings to executive leadership
• Drive end-to-end data processing by identifying, capturing, cleansing, verifying, analyzing, and presenting the data utilizing state-of-the-art methods and tools
• Answer sophisticated business questions via structured problem-solving techniques
• Provide analytical consulting by identifying and presenting actionable insights through statistical methods, predictive models, random forests and by conducting linear regression and classification
• Create the vision for data Analysis solutions incorporating the latest industry best-practices and techniques
• Serve as Product Owner for executive dashboards, leading the development of visually impactful charts and reports
• Provide mentorship and training to junior colleagues and maintain progress on all projects with minimal direct supervision

Qualifications

• BS in Applied Mathematics, Probability and Statistics
• 5+ years of proven data Analysis experience, skilled in applied mathematics and statistics, including descriptive, diagnostic, predictive, and prescriptive modeling methods and techniques
• Expertise in driving data-driven executive decisions with efficiency and accuracy
• Excellent communication skills.  You must be able to meaningfully engage with collaborators with limited data expertise during both question definition and results delivery.
• Ability to do exploratory analysis on large volumes of data and find key descriptive and inferential properties.
• High interest in engaging poorly-defined problems, lead problem definition, root-cause analysis, and resolution plans.
• Ability to independently and consistently manage your work and project timelines.
• Excellent programming skills with R, Python and SQL; Great experiences with MS Excel, Tableau and cloud platforms like Snowflake and Google Cloud; Ability to manipulate and visualize large and sophisticated datasets with these skills.
• Ability of data modeling, including statistical analysis and the implementation and optimization of machine learning algorithms/models.