SuperAwesome is looking to solve the problem of providing safer and more effective digital engagement with almost half a billion young people worldwide every month, and the Insights and Measurement Research Analyst role is intended to help find and tell audience stories for customers with data in their estate.
Requirements
- Proficient in data analysis tools such as, R, SQL and SPSS/Q (DisplayR a major benefit) - Python and/or TypeScript a bonus
- Experience with using modern AI-based tools to boost the effectiveness and speed of data analysis and data-driven story telling
- Knowledge of the youth digital ecosystem is a major plus
- Track record of quantitative data analysis in the consumer measurement space
- Proven ability to work closely with data teams, data warehouses and SQL databases to join up data sets to find and build compelling stories
- Experience with panel based ad measurement, with a genuine interest in data analysis and media performance
- Highly quantitative expert with 5+ years of experience in a data analysis role, specializing in quantitative market research, advanced statistical analysis, and data storytelling
Responsibilities
- Serve as the internal lead for measurement initiatives, across NA and EMEA, project managing and executing end-to-end measurement studies from briefing to debrief
- Manage day to day relationships with external panel-based measurement vendors
- Integrate our audiences led approach within measurement
- Collaborate cross-functionally to integrate measurement findings into campaigns and business strategies, translating research findings into strategic insights that inform marketing tactics and client recommendations
- Prepare and present detailed reports and dashboards showcasing the effectiveness of campaigns for internal and external clients
- Synthesize diverse datasets from across our estate to demonstrate SuperAwesome’s effectiveness
- Work with our Product and Data Engineering teams to advise on the integration of measurement and insights data into our products
Other
- A collaborative team player who enjoys mentoring more junior members of the team, fostering their growth and sharing expertise within a dynamic environment
- An excellent oral and written data-led communicator with strong stakeholder management skills
- An organized and proactive project manager with strong planning and organizational skills, adept at juggling multiple projects,and coordinating with internal and external teams
- 5+ years of experience in a data analysis role
- Family Leave including 20 weeks of fully paid leave for employees who are Primary Caregivers and 8 weeks of fully paid leave for employees who are Secondary Caregivers
