Business Inteligence Sr. Manager
Description
GroupM is WPP’s media investment group and the world’s leading media investment company with a mission to shape the next era of media where advertising works better for people. The company is responsible for more than $60 billion in annual media investment, as measured by the independent research bureau COMvergence. Through its global agencies Mindshare, Wavemaker, EssenceMediacom, and mSix&Partners, and cross-channel performance (GroupM Nexus), data (Choreograph), entertainment (GroupM Motion Entertainment) and investment solutions, GroupM leverages a unique combination of global scale, expertise, and innovation to generate sustained value for clients wherever they do business.
Responsibilities
- Develop effective business intelligence strategies and analytics solutions.
- Develop analytics projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.
- Apply statistics and data modeling to gain actionable business insights and boost customer productivity and revenue.
- Communicate and track key performance metrics across disciplines (Programmatic, Social, Search).
- Collaborate with cross-functional teams and manage schedules.
- Generate reports of findings and present these to senior management.
Skills and Experience
QUALIFICATIONS:
•BSc or relevant experience in fields related to data analysis (Science-Technology-Engineering-Mathematics)
•Organized and able to meet deadlines in an agile environment (SCRUM-Agile Analytics-SAFe)
•8+ years previous experience as Senior Data Analyst or 3 years of experience as BI Manager
SKILLS:
•Fluent in verbal and written English
•Experience analyzing data from 3rd party providers: Google Analytics, DV360, DoubleVerify, Meta, YT, TikTok, etc.
•Experience creating visualizations in Datorama, Tableau and Looker
•Experience querying databases and using statistical computer languages: Python, SQL
•Basic knowledge of GCP environment (Cloud Storage, Functions, Scheduler, Run, BigQuery)
•Intermediate knowledge of advanced statistical techniques and concepts (regression, properties of distributions)
•Strong problem-solving skills with an emphasis on product development.
•Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights