Data Analyst, Enterprise

• Help enhance the useability 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.

• University degree in Computer Science, Statistics, Business, or related field.
• 3+ years of experience in analytics, preferably at a digital company.
• 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.

• 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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