Data Lead
London, England, United Kingdom
BridgeU
BridgeU connects universities with international schools in 140 countries to drive better higher education & career outcomes for students.We are seeking a highly motivated and experienced Data Lead to join our Data team. As a Data Lead, you will be responsible for the development and implementation of data strategies that support the company's mission of revolutionising the education industry through technology. You will lead a multi disciplinary team of different data roles (scientist, engineers, etc) and work closely with cross-functional teams to develop data-driven insights and solutions that drive growth and improve the overall user experience.
Responsibilities:
- Develop and implement data strategies that support the company's mission and goals
- Lead a multi disciplinary team of data engineers and data scientists to ensure efficient data collection, data processing, API development, and ensuring robust and secure data warehousing.
- Owning the Tech Roadmap for the data pipeline, ensuring debt is repaid as we go and can be delivered alongside business deliverables.
- Work closely with cross-functional teams (e.g. product, engineering, marketing) to identify and prioritise data-driven insights and solutions
- Analyse and interpret large sets of data to uncover trends, patterns, and insights
- Communicate findings and recommendations to stakeholders in a clear and actionable manner
- Lead development and maintenance of dashboards and reports to monitor key performance indicators and track progress
- Stay up-to-date with the latest data tools and techniques to ensure the team is using the best technology and applying best practice for the job
Requirements
- Bachelor's or Master's degree in a relevant field (e.g. statistics, mathematics, computer science)
- 8+ years of experience in a data-related role, with a demonstrated history in leading a team
- Strong analytical and problem-solving skills, with experience working with large sets of data
- Expertise in SQL and at least one data visualisation tool (e.g.Looker, Tableau, PowerBI)
- Knowledge of best practices and expertise with building APIs in Python
- Knowledge of data warehousing technologies and concepts (e.g. Kimball)
- Experience in building ETL pipelines with Apache Beam
- Experience with GCP or AWS
- Experience with PostgreSQL and MongoDB
- Excellent communication and interpersonal skills, with the ability to effectively communicate complex data concepts to a non-technical audience
- Experience working in the education or edtech industry is a plus
If you are passionate about using data to drive growth and improve the decision making of students in the university application journey, we encourage you to apply.
Benefits
What we’ll provide:
- 25 days annual leave per year plus bank holidays
- Employer’s pension scheme
- Opportunities for flexible working hours, encouraging everyone to have a healthy work-life balance
- Company-funded social events
- Investment in your professional development and opportunities for career progression
- A comfortable and covid-secure office in London
- A range of attractive benefits and corporate discounts
- Access to confidential counselling as well as financial and legal advice from our Employee Assistance Programme
- An open and democratic work culture where everyone can contribute, learn and teach
- Company-paid subscription to Calm
- Personal development: the company can fund books, courses and conferences that can help you learn and grow.
- Annual offsite: we organise a retreat once a year where the whole company gets together (we did this remotely in 2022)
Equal Opportunities
We are a global team with a global mindset, cherishing and protecting diversity as one of our core values. We are always looking to diversify the talent in our team.
Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, belief, marriage or civil partnership. If you feel you don’t quite meet all the criteria in the job spec but have the potential to do the role, we’d still love to hear from you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs AWS Computer Science Data Warehousing Engineering ETL GCP Looker Mathematics MongoDB Pipelines PostgreSQL Power BI Python SQL Statistics Tableau
Perks/benefits: Career development Conferences Flex hours Team events
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