Data Analyst

2 weeks ago

Ottawa, Canada Open League Full time

**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.

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