Data Analyst
Greater Toronto Area, Ontario
Prodigy Education
Make math learning fun and effective with Prodigy Math Game. All in-game educational content is free. Sign up today!Prodigy Education is a global leader in game-based learning. Our mission is to help every student in the world love learning, motivating more than 20 million students a year to practice standards-aligned math and English. More than 800,000 teachers use Prodigy as a free instructional tool. Fun, motivating, and research-based, Prodigy is the EdTech platform students actually ask to use. Visit www.prodigygame.com to learn more.
As a Data Analyst on our data team, you will leverage your strong analytical skills, understanding of user behaviour, and experimental design expertise to inform decision making and optimize how we build and evolve tools for our users. You will partner with Product owners, product managers, data engineers, and other data professionals to help us better understand the effectiveness of our initiatives, uncover opportunities for improvement and drive deeper engagement with our platform.
By blending your passion for data with our mission to help students love learning, you will play a critical role in shaping how Teachers use the product to support their students learning in the classroom. This is a unique opportunity to influence product and program strategy through rigorous analysis and experimentation - ultimately impacting the lives of millions of students.
Your Impact
Work proactively with program/product leaders to analyze Teacher usage of the platform and measure program performance. Provide insights & recommendations that help shape our teacher initiatives & the roadmap
Design, execute & evaluate statistically sound experiments to assess the impact of new features or program updates, enabling data-informed iteration and enhancements
Improve data accessibility by building and maintaining dashboards that track key KPIs - empowering program team to visualize usage patterns, spot opportunities and uncover actionable insights
Champion data quality and best practices, collaborate with Data Engineering and cross-functional teams to maintain data accuracy and relevance for decision making
Translate data findings into clear, concise insights tailored for non-technical audiences. Guide program and squad triad (Product, Design, Engineering) to make informed, evidence-based decisions that directly support program objectives and success
Work alongside other team members to ensure alignment, share learnings, and evaluate team-wide awareness of best practices and program needs, helping to foster a culture of collaboration and continuous improvement
Help drive a culture of data-driven product development
About You
3+ years of experience in data analysis, experimentation and program evaluation. Experience applying statistical techniques (i.e. hypothesis testing, confidence intervals, regression analysis) to drive measurable outcomes in a product or program environment
Skilled communicator with a talent for translating complex analytics into clear, actionable insights for product stakeholders. Strong collaborator who actively seeks and incorporates feedback to improve processes and deliverables.
Proven track record of influencing key decisions in the product roadmap through a user-obsessed mindset.
Passionate about using data-driven approaches - including causal inference methods, advanced analysis, and modelling to uncover actionable insights and support evidence-based decision making
Skilled in designing and evaluating long-term impacts of experiments and incremental impact analysis
Proficient in SQL for querying large datasets and extracting insights; working knowledge of Python/R for statistical analysis and automation.
Experienced in building dashboards and data visualizations in tools like Databricks, Tableau, Looker, and Sigma; experienced in building data assets using DBT
Strong understanding of user behaviour analysis, program adoption funnels and the interpretation of KPIs to measure impact and identify areas for improvement
Bonus Points
Experience in Cloud Ecosystems: Familiarity with AWS or GCP for data storage and analytics.
User obsessed: Has uncovered multiple problems impacting the user experience and influenced decisions to help shape the product roadmap.
Intermediate Experimentation & Modelling: Experience with the frequentist and Bayesian approaches to experimentation significance testing, and has productionalized ML models that have user facing impacts.
Spark & Distributed Computing: Comfort working with large datasets using Spark or similar technologies.
Non-traditional Background: We value diverse paths into the analytics field.
Core Technologies
Languages: SQL and Python
Tooling: Databricks, DBT, MLFlow
Distributed Computing: Spark
BI Platforms: Sigma, Tableau, Looker
Working at Prodigy
Be part of a mission-driven organization dedicated to helping every student in the world love learning! At Prodigy Education, your work positively impacts the lives of millions of students and teachers worldwide.
Join a company which empowers a Growth Mindset among its team members, so you grow as we do. You’ll also work on award-winning products which harness the magic of math and power of language for students in grades 1st-8th.
We understand that a thriving team is at the core of our success. So, on top of an inspirational mission and rewarding work, our Total Rewards Program reflects our commitment to your financial, physical, and mental well-being.
It’s not just about the work though; it's about the culture. As the Toronto Star reports in a recent feature on Prodigy: "Prodigy’s secret sauce is that it sees its corporate culture as something that is built slowly from the ground up and is always evolving.” Check it out here.
#LI-Hybrid
Prodigy Math is used by almost one million teachers a year, and was named the most popular supplemental education platform in classrooms in the United States! Our products have also won numerous consumer awards, including the Mom’s Choice Award, Parent and Teacher Choice Awards, and National Parenting Product Award.
Come as you are. We believe the power of our collective potential will transform education. We are building towards a diverse, inclusive, and equitable workplace to empower and create access and opportunity for all. We welcome applications from people from all underrepresented groups, including (but not limited to) people of any gender, age, or religion, members of the LGBTQIA2+ community, BIPOC and other underrepresented races and nationalities, people with disabilities, veterans, and anyone who may contribute to the further diversification of Prodigy Education. If you feel like you don’t have all the qualifications for this position and are willing to use your initiative to learn the rest, we’d still love for you to apply!
We are an equal opportunity employer and are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). Prodigy Education will provide accommodations to job applicants with disabilities throughout the recruitment process. If you require accommodation, please notify us at jobs@prodigygame.com, and we will work with you to meet your needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Bayesian Causal inference Data analysis Databricks Data quality dbt Engineering GCP KPIs Looker Machine Learning Mathematics MLFlow ML models Python R Research Spark SQL Statistics Tableau Testing
Perks/benefits: Career development
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