Work within a forward-thinking analytics team to design and implement powerful data solutions that enhance business performance. You will translate intricate business needs into clear, scalable analytics using platforms like Tableau and Databricks, enabling smarter decision-making across operations.
Key Responsibilities
- Design, develop, and maintain core analytics tools that support data-driven strategies
- Turn complex data sets into meaningful insights through advanced visualization and modeling
- Build proof-of-concept analyses and evolve them into reliable, long-term processes
- Advise stakeholders on best practices in data interpretation and reporting techniques
- Collaborate in agile workflows with internal teams and external partners to deliver timely solutions
- Engage with data communities to share knowledge and stay current with emerging trends
Qualifications
- Degree in data analysis, computer science, statistics, or a related field, or equivalent practical experience
- At least two years of hands-on experience in business intelligence, data analysis, or a similar role
- Proven expertise with Tableau and Databricks for data modeling and visualization
- Familiarity with data warehousing systems such as Snowflake, Amazon RDS, or similar platforms
- Experience working in agile project environments
- Strong communication skills with the ability to present insights clearly to diverse audiences
- Strategic mindset with a focus on improving efficiency, profitability, and client outcomes
- Self-directed and capable of navigating complex organizational settings independently
- Demonstrated commitment to continuous learning and professional development
Preferred Skills
- Exposure to analytical programming tools such as Python, R, SPSS, or SAS
Work Environment
This role is based in London and supports flexible remote work arrangements. You'll operate in a performance-driven culture that values innovation, inclusion, and personal growth. The organization fosters environments where diverse perspectives are welcomed and every individual can contribute meaningfully.
Technology Stack
- Tableau, Databricks, Snowflake, Amazon RDS
- SPSS, SAS, R, Python
