Sr Data Analyst

• Conducting data analysis and research to provide insights, recommendations and drive solutions for product development
• Communicating results of analysis and recommendations clearly and concisely to a variety of stakeholders, including Product, Tech Leadership and Engineering.
• Defining and running product experiments that deliver impactful results.
• Creating dashboards, reports and papers to present product and feature level usage to Product and Tech Leadership.
• Working with stakeholders, including Tech Leadership, Marketing, Product Management, Platform Operations, to formulate critical business operation questions for investigation and analysis.
• Collaborating with Product Managers to define success criteria.
• Supporting Product Managers’ research into feature development needs and the necessary data points to guide and prioritize feature development.
• Building monitoring processes to track feature usage and adoption against defined success criteria.
• Understanding our data model, contributing to shared data model documentation, and recommend new data collection to Engineering when required to support objectives.
• Extracting, integrating and validating sample data sets from various sources including big data environments.

WHAT YOU BRING TO THE TABLE

• 5+ years of professional experience, ideally in a similar role.
• Post-secondary education with a strong analytical component, e.g. statistics, business, social sciences, sciences.
• Able to prioritize and manage multiple projects across Product areas in a fast-paced environment.
• Resourceful and self-reliant; a strong self-starter with a passion for learning.
• Excellent communicator with an ability to clearly explain complex technical subjects to a variety of stakeholders.
• Ability to translate data analysis into stories, insights and recommendations.
• Experience applying statistical methodologies to test design, measurement and analysis.
• Knowledgeable about best practices around data manipulation, extracting data from big data systems, feature engineering and creating dashboards.
• Experience working with Relational Databases including SQL.
• Experience with Python, R or similar language for data analysis.
• Experience working with data visualization tools (e.g. PowerBI, Tableau).
• Commitment to creating inclusive, respectful environments where all voices are valued and supported.
• Thoughtful approach to collaboration, design, and decision-making that prioritizes equity, access, and continuous learning.

BONUS POINTS

• Knowledge of the digital advertising industry (e.g. AdWords, DSPs, ad-serving).
• Experience working with product analytics tools (e.g. Pendo).
• Experience defining and running experiments.