Data Analyst, Enterprise

1 month ago

Old Toronto, Ontario, Canada Score Media and Gaming Inc. Full time
About the Role

We are seeking a highly skilled Enterprise Data Analyst to join our Data Insights and Analytics team. As a key member of our team, you will play a critical role in developing high-quality and sustainable data-driven solutions to improve profitability, growth, and the user experience.

Key Responsibilities
  • Enhance the usability and adoption of a data exploration tool across the organization.
  • Reduce query and model run times, simplify inter-DAG dependencies, and continuously improve on best practices and documentation.
  • Liaise with analytics engineers to build curated data models and solve related issues.
  • Assist team members in solving data issues related to both analysis and modeling.
  • Develop a deep understanding of how users interact with theScore/ESPN Bet apps and websites.
  • Complete analyses and present clear recommendations to business stakeholders.
  • Identify opportunities to apply data modeling and advanced analytics techniques to drive insights.
  • Peer review team's analyses to ensure data and insights shared are accurate and informative.
  • Mentor Junior Data Analysts.
  • Work with the leadership team to help define strategy & direction of Analytics at theScore.
  • Stay on top of emerging trends in media, sports betting, analytics & marketing industries.
About You

We are looking for a highly skilled and experienced Enterprise Data Analyst with a strong background in analytics, preferably at a digital company. You should have a university degree in Computer Science, Statistics, Business, or a related field, and at least 3 years of experience in analytics.

  • 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.
  • Experience with modern data warehouses such as: Redshift, BigQuery, Snowflake, and Synapse.
  • 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.
  • Excellent written and oral communications skills.
  • Knowledge of analysis tools; R or Python packages preferred.
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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