Consumer Insights Data Analyst

7 days ago

Mississauga, Canada Compass Group Full time

You might not know our name, but you know where we are. That’s because Compass Group Canada is part of a global foodservice and support services company that’s the 6th largest employer in the world, with 625,000 employees.

You’ll find us in schools, colleges, hospitals, office buildings, senior living communities, tourist attractions, sports venues, remote camps and military installations and more. We’re in all major cities, at remote work sites and everywhere in between - doing business in Canada and 50+ other countries where you can learn and grow. Join us now and point your career forward

**Why work with Compass Digital?**We are a member of Compass Group North America the leading foodservice and support services company. We create remarkable customer experiences through the innovative design and development of technology products and services. Compass Digital began as an innovation startup and the team has since rapidly grown and now supports technology and innovation across all of North America. Compass digital is comprised of user experience designers, developers, data scientists, project managers, business analysts, marketers and technology implementation managers, all of whom look at the world from a human perspective to rethink what's possible in the areas of technology innovation and consumer engagement within the foodservice and hospitality industries. Join us.

**Job Summary**:
**Now, if you were to come on board as one of our Consumer Insights Data Analyst, we’d ask you to do the following for us**:

- Supplier Support: Provide white glove support to 30+ suppliers, ensuring their needs are met and collaborating with internal teams to drive growth and retention.
- Data Insights: Translate complex data into actionable insights, identifying opportunities and maintaining clean data for informed decision-making.

**Think you have what it takes to be our Analytics Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role.**
- A background in Computer Science, Data Science, Mathematics, Statistics, Business, Finance or a related field.
- Strong knowledge of data analysis techniques and tools, including statistical analysis, data visualization, and data mining.
- Proficiency in SQL and experience with data querying and manipulation.
- Experience with data preprocessing, cleaning, and transformation.
- Programing skills in one or more of the following languages: Python, R, SQL.
- Excellent written and verbal communication skills with experience in presenting complex data findings to non-technical stakeholders.
- Knowledge of Machine Learning concepts and experience with related tools and libraries.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Experience with A/B testing and experimental design.
- Understanding of advanced topics like predictive modeling, segmentation, and clustering.

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