Data Analytics Analyst

Role Overview

• Lead end-to-end data analysis on projects.
• Partner with the senior data scientist, business owners, database developers, and strategy partners in crafting comprehensive analysis.
• Reporting on performance inclusive of insights and recommendations.
• Assess data, business objectives/processes, and deliver clear and meaningful insights.
• Develop collaborative working relationships with team members across the organization.

Requirements

• Minimum 3+ years of data/statistical analysis.
• Highly proficient in utilizing SQL, SAS, Python, and R to manipulate, arrange, query, and present data
• Experience working in Google Cloud Platform (GCP)
• Experience utilizing Power BI, Looker, Microsoft Excel, and PowerPoint to present data
• Familiarity with large data structures
• Knowledge of statistical testing methodology
• Create new and maintain existing statistical data models.
• Ability to write sophisticated SQL queries needed to query & analyze data
• Proven customer focus experience, with the skills to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint
• Resolve data quality issues and work with technical and business owners to correct and identify underlying issues
• Lead the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) performance reports
• Seek opportunities to improve processes, data collection, delivery methods, and value
• Exercise judgment and interpretation of requests to deliver the appropriate metrics with the vital context
• Deep understanding of A/B testing, audience segmentation, and content targeting
• Excellent written and verbal communication skills
• Ability to plan and develop new metric reports that generate business value
• Manage time effectively within a complex environment
• BA / BS in computer science, management information systems, statistics, mathematics, marketing research, or equivalent technical or semi-technical undergraduate degree with an emphasis in statistics.
• Previous experience with Ford Customer Service Division (FCSD) desired.

Tech Stack

• Cloud
• Google Cloud Platform
• Python
• SQL

Benefits

• Competitive salary
• Health insurance
• Professional development
• Flexible working hours