Ecommerce Data Analyst

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
**What will you work on?**

As an eCommerce Data Analyst, you will hold a key strategic role combining market research/eCommerce analytics with data engineering/science capabilities. Reporting into the Director, eCommerce Analytics, you will analyze category/competitive trends, support our eCommerce team with micro-level eCommerce insights, while supporting our data initiatives to collect, clean and analyze eCommerce data sets.

**How will you create impact?**

Market Research eCommerce Analytics (50%)
- Monitor key performance indicators (KPI’s) against benchmarks on various time horizons.
- Provide research and analysis on future licenses, brands and “size of the prize” evaluations for Sales/GBUs to assist with business planning.
- Develop key reporting solutions and a weekly/monthly cadence for category and competitor ecommerce profiles/SWOT analyses.
- Provide monthly and ad-hoc ecommerce toy industry reports recapping performance/trends and linking with other data sources such as Circana.
- Act as key point of contact internally for ad-hoc sales and share reporting for cross-functional teams including Customer Account Teams (Sales), Global Business Units (Brand), COEs, MA and Marketing Analytics. Provide key reports and insights from industry data on an ongoing basis.
- Conduct deep dives into specific competitors' performance, drivers of growth/decline and ecommerce strategies
- Conduct micro and macro-economic predictive models for the channel/retailer/brand
- Assist in general eCommerce data analytics tasks as needed

Data Engineering/Automation (30%)
- Build maintain ETL pipelines in Domo to collect, clean and present data from Amazon APIs, scraped data and other sources using no-code Domo solutions
- Leverage AutoML in Domo to build, run, and maintain Machine Learning Models to optimize performance and illuminate opportunities on sales, customer behavior and scraped external data
- Build, maintain and own web scraping workflows using no-code tools like Power Automate/UI Path, or leveraging Python
- Initiate and maintain standards for data integrity, reporting standardization and tool updates.
- Work cross-functionally with sales teams, marketing managers and data scientists to support strategic initiatives and projects

Data Science (20%)
- Leverage AutoML in Domo to build, run, and maintain Machine Learning Models to optimize performance and illuminate opportunities on sales, customer behavior and scraped external data
- Leverage python to build reports and visualizations using eCommerce data

**What are your skills and experience?**
- Relevant analytical experience; CPG or eCommerce experience is a plus
- Basic Python knowledge is highly valued. Experience in the following libraries is considered an asset but not required; pandas, BeautifulSoup, Scrapy, Selenium, Airflow, matplotlib and seaborn
- Knowledge in SQL is an asset but not required
- Experience in Domo is an asset (Connectors, Magic ETL, Cards, AutoML)
- Experience with Power BI and Power Query is an asset
- Experience in eCommerce/retail SaaS products such as CommerceIQ, Stackline, Profitero, Pacvue, Circana, Analytic Index, Helium10 is an asset
- Proficiency in Excel/Co-Pilot is an asset
- Familiarity with generative AI tools such as ChatGPT, Claude, Perplexity or Gemini is an asset
- #LI-Hybrid #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.
- We do appreciate all interest; however only those selected for interview will be contacted._