- Location: Remote, London
- Duration: 10 months
- Start Date: ASAP
- Pay rate: £300 - £400 per day PAYE
- ETL, SQL, Python Data modelling
- data visualisation and data warehouse
- Should be able to work with data engineers, scientists and analytics
Responsibilities
- Work with the Survey Data and and the Marketing Data Science team, translating their needs into tangible analytical solutions
- to improve marketing efficacy by providing impactful insights through streamlined and automated reporting
- Design and Develop data models, pipelines, dashboards, and other analytic solutions to support Meta’s Marketing programs and campaigns
- Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques
- sourcing from structured and unstructured data sources
- Collaborate with engineers, data scientists and marketers to understand data needs, representing key data insights in a meaningful way
- Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
- Implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues
Minimum Qualifications
- bachelor’s degree in computer science, Computer Engineering, relevant technical
- This could include roles such as data analyst, data scientist, data engineer, or similar positions
- 5 years of experience with SQL, ETL, data modeling, data visualization and at least one programming language (Python is preferred)
- Experience working in Marketing Analytics or Marketing Technology is preferred.
