Data Analyst London, England
Open League
Full Time
London, England
10.56 - 12.04 GBP Today
Job description
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.
