Vacancy expired!
- Gain an understanding of brand and enterprise data warehouse/reporting requirements that will inform the data architecture and modeling approach.
- Employ these learnings to construct appropriate ETL processes, database queries, and data/permission models that support data aggregation and reporting on actionable insights
- Collaborate closely with internal and matrixed departments, including but not limited to Operations, Technology, PMO, Data Strategy/Insights, Customer Service, Enterprise Data Systems, and Marketing to design, build, and deploy data warehouse solutions and reporting tools
- Maintain top-level knowledge of industry trends and best practices in the Analytics/Business Intelligence/Data Warehouse space, then identify ways to improve data reliability, efficiency, quality, security, scalability, and performance
- Use data to discover tasks that can be automated and find hidden patterns in data that can be used to address ad-hoc queries or urgent data ingestion/reporting requests
- Identify, design, and implement internal process improvements that optimize data delivery to stakeholders, using the foundational elements of the data warehouse, BI tool, and other 'big data' technologies
- Other behaviors the successful candidate should be able to demonstrate:
- Project Management
- Teamwork
- Organizational Skills
- Leadership
- Oral / Written Communication Skills
- Problem Solving
- Analytical Skills
- Bachelor's degree in Science, Statistics, Engineering, Business Administration or similar field of study
- 5+ years in digital analytics, engineering, marketing research, consumer insights, or business consulting roles
- 5+ years focusing on digital data analytics and data mining
- 3+ years of experience with cloud data technologies including Snowflake, AWS, Apache Airflow
- Passion for working with data and deriving insights to answer business questions that drive actions and decision-making
- Proficiency in SQL
- Experience with business intelligence, dashboard and data visualization tools such as Tableau and Looker as both a super-user and developer.
- Deep understanding of API connectivity and data streaming architecture
- Comfort level with ambiguity and ability to manage multiple projects at the same time
- Master's degree in Analytics, Statistics, Engineering, Information Systems or similar field of study preferred
- Deep understanding of digital and video analytics platforms, methodologies, measurements and technical tagging structure (Adobe Analytics, Google Analytics, Conviva)
- Experience with R or Python highly desirable.
- Strong background with mobile app analytics platforms including data aggregators, campaign & attribution, deep linking, and engagement (Kochava, AppsFlyer, Branch, mParticle, Segment, Urban Airship)
- Understanding of Digital Ad Tech platforms
- Understanding of social media analytic toolsets not required but a plus
Vacancy expired!