S
Business Administrator
SSAT (The Schools, Students and Teachers network)
O
Data Analyst
Work Model
📍 London, England
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
Role Overview & Responsibilities
TOMO™ – The World Finest Luxury Water Bottle
Founded in 2020, TOMO has established itself as a leading luxury drinkware brand, which is focused on impeccable craftsmanship and outstanding design.
Calling all DATA ANALYSTS! \uD83C\uDF1F
Here's your opportunity to be part of a global team of passionate marketers, artists, designers, product specialists, and visionaries who are working towards creating a more positive life on this planet. At TOMO, we focus on wellness, sustainability, the love for design, and building purpose-driven brands.
Here’s what you’ll get to do:
- Collect and analyze large datasets to identify trends, patterns, and insights that can be used to inform business decisions.
- Develop and maintain data models, algorithms, and statistical models to support analysis.
- Develop and maintain dashboards and reports to communicate findings and insights to stakeholders.
- Work with cross-functional teams to identify and solve complex business problems using data-driven insights.
- Develop and implement data quality checks to ensure accuracy and consistency of data.
- Identify and recommend process improvements to increase efficiency and effectiveness of data analysis.
- Collaborate with IT and other teams to ensure data is properly stored, processed, and protected.
- Stay up-to-date with emerging trends and tools in data analysis, machine learning, and artificial intelligence.
- Develop and maintain documentation on data sources, data structures, and data analysis methods.
- Communicate data analysis findings and insights to non-technical stakeholders in a clear and concise manner.
To succeed in this role, you should have:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.
- Strong analytical and problem-solving skills, with the ability to work with large datasets and identify meaningful insights.
- Proficiency in data analysis tools such as SQL, Excel, R or Python.
- Experience in data visualization tools such as Tableau or Power BI.
- Strong communication skills, with the ability to present findings and insights to stakeholders.
- Experience with data modeling, statistical analysis, and machine learning algorithms is a plus.
- Ability to work independently as well as part of a team in a fast-paced environment.
If you’re ready to take your e-commerce career to the next level and join a dynamic, forward-thinking team, don’t wait any longer.
Frequently Asked Questions
How do I apply for the Data Analyst position at Open League?
Click the “Apply for this Position” button on this page to submit your details directly to Open League's recruitment pipeline without agency fees or intermediaries.
Is this role eligible for remote work or international relocation?
This position is based in London, England with potential relocation and visa sponsorship considerations for qualified candidates.
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