Analytics Engineer
Toronto, Canada
Spin Master
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Are you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?
At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!
Job Description:
What will you work on?
As a member of the Data & Analytics team, you will be responsible for understanding and transforming our raw data into easily usable data models by building and maintaining data orchestration pipelines, to serve the visualization and analytics needs of the organization. You will collaborate with analytics leads, business stakeholders, and cross-functional teams to enable data that is easily accessible, reliable, and ready for analysis.
How will you create impact?
- Data Modeling & Transformation: Design and implement data models that support analytics and reporting needs. Use SQL or other tools to create and maintain data transformations that power our analytics workflows. Ensure that data models are optimized for performance and scalability, following best practices for data warehousing.
- Data Pipeline Management: Develop, maintain, and support ETL/ELT pipelines to move data from data lake and other internal/external sources into the data warehouse. Utilize GCP services like BigQuery, Dataflow, and Cloud Composer to manage and orchestrate data workflows. Monitor data pipelines to ensure they run efficiently and troubleshoot/fix any issues that arise.
- Analytics Enablement: Collaborate with data visualization engineers, analytics leads and business stakeholders to understand data needs and deliver high-quality datasets for analysis. Create and maintain data documentation, ensuring that datasets are well-understood and easily accessible by data visualization engineers and analytics team. Develop dashboards and reports using tools like Power BI & Tableau to deliver insights to stakeholders.
- Data Quality Assurance & Support: Build a framework for data validation at every step of the data workflow. Ensure data quality is maintained for accurate organization wide reporting. Build automation and error notifications through every step of the workflow. Support & maintain the data models, pipelines & integrity of the data for analytics and self-serve capabilities.
- Collaboration and Communication: Communicate complex data concepts and technical solutions to non-technical stakeholders clearly and effectively. Contribute to the continuous improvement of analytics processes and visualization practices.
What are your skills and experience?
- Experience in data modeling & visualization, with foundational data engineering skills.
- Experience in cloud platforms like Google or Azure or AWS.
- Technical Skills:
- Proficiency in SQL for data querying and transformation.
- Familiarity with data pipeline tools and ETL processes, with basic experience in Python or another scripting language.
- Knowledge of GCP services related to data processing and storage, such as BigQuery, Dataflow, Cloud Composer, and Cloud Storage.
- Experience with analytics and visualization tools (e.g., Looker, Power BI, Tableau).
- Experience in SAP and its suite of tools for data extraction would be a plus.
- Experience with dbt (Data Build Tool) for data transformations would be a plus.
- Experience with version control systems like Git and CI/CD pipelines would be a plus.
- Experience in a CPG or Toy industry would be a plus.
#LI-Onsite #LI-HM1
What you can expect from us:
Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.
- Growth and Career Opportunities
- Flexible Work Hours
- Innovation, Collaboration and Fun
- Comprehensive Benefits
- Other fun Perks!
What’s it like to work here?
Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.
Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.
Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.
Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.
We do appreciate all interest; however only those selected for interview will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery CI/CD Dataflow Data pipelines Data quality Data visualization Data warehouse Data Warehousing dbt ELT Engineering ETL GCP Git Looker Pipelines Power BI Python SQL Tableau
Perks/benefits: Flex hours Startup environment
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