Enterprise Data Analyst

4 weeks ago

Toronto, Ontario, Canada theScore Full time
About the Role

The Data Analyst, Enterprise role is a key position within the Data Insights & Analytics team at theScore. As an Enterprise Data Analyst, you will be responsible for making operational improvements to the Data Analytics stack, increasing the performance and stability of the system, improving data quality, and ensuring Data Analysts are upholding best practices in coding and documentation.

About the Work
  • Enhance Data Exploration Tool Adoption: Help enhance the usability and adoption of a data exploration tool across the organization.
  • Optimize Query and Model Run Times: Reduce query and model run times, simplify inter-DAG dependencies, and continuously improve on best practices and documentation.
  • Collaborate with Analytics Engineers: Liaise with analytics engineers to build curated data models and solve related issues.
  • Support Team Members: Assist team members in solving data issues related to both analysis and modeling.
  • Understand User Behavior: Develop a deep understanding of how users interact with theScore/ESPN Bet apps and websites.
  • Present Clear Recommendations: Complete analyses and present clear recommendations to business stakeholders.
  • Apply Advanced Analytics Techniques: Identify opportunities to apply data modeling and advanced analytics techniques to drive insights.
  • Peer Review Analyses: Peer review team's analyses to ensure data and insights shared are accurate and informative.
  • Mentor Junior Data Analysts: Mentor Junior Data Analysts.
  • Define Analytics Strategy: Work with the leadership team to help define strategy & direction of Analytics at theScore.
  • Stay Up-to-Date with Industry Trends: Stay on top of emerging trends in media, sports betting, analytics & marketing industries.
About You
  • Education and Experience: University degree in Computer Science, Statistics, Business, or related field, and 3+ years of experience in analytics, preferably at a digital company.
  • Technical Skills: Strong knowledge of relational databases and SQL, experience with data exploration tools such as Looker, Mode, ThoughtSpot, Tableau, Power BI, and Periscope/Sisense, experience with dbt or dbt Cloud, and experience with modern data warehouses such as Redshift, BigQuery, Snowflake, and Synapse.
  • Soft Skills: A passion and curiosity for solving analytical problems using quantitative approaches, ability to take complex data and present it in a clear manner to cross-functional groups, ability to focus in a fast-paced environment and multitask, and excellent written and oral communications skills.
What We Offer
  • Competitive Compensation Package
  • Fun, Relaxed Work Environment
  • Education and Conference Reimbursements
  • Parental Leave Top Up
  • Opportunities for Career Progression and Mentoring Others

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