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Senior Analytics Engineer

extra holidays - extra parental leave

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Canada

Offer summary

Qualifications:

University degree in relevant field, 4+ years of analytics experience, Strong SQL and dbt expertise, Familiarity with Tableau or Looker, Experience in digital company preferred.

Key responsabilities:

Liaise with stakeholders for data projects
Build data pipelines and solve issues
Present clear recommendations to stakeholders
Apply advanced analytics for insights
Define Analytics strategy with leadership

theScore Leisure & Entertainment SME https://scoremediaandgaming.com/

501 - 1000 Employees

See more theScore offers

Job description

theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company's home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.

About the Role & Team

On the Data Insights & Analytics team, our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As an Analytics Engineer, you’ll work with all the key stakeholder groups to help them leverage data to track performance, make better decisions and ultimately reach their goals. The ideal candidate has strong communications skills, a passion for data, a background in quantitative analysis and likely has an interest in professional sports, betting & eSports.

About the Work

As a key member of our Analytics Engineering team you will:

Liaise with business stakeholders to identify data driven projects and opportunities.
Liaise with data engineers to build data pipelines and solve related issues.
Use your SQL expertise to develop dbt models.
Manage Airflow tasks and scheduling.
Assist team members in solving data issues related to both analysis and modeling.
Complete analyses and present clear recommendations to business stakeholders.
Identify opportunities to apply data modeling and advanced analytics techniques to drive insights.
Oversee team's analysis to ensure data and insights shared are accurate and informative.
Help with implementation & adoption of a data exploration tool across the organization
Provide support on data analyst hiring, onboarding and continued professional development. Mentor Data Analysts and Analytics Engineers
Work with the leadership team to define strategy & direction of Analytics at theScore.

About You

University degree in Computer Science, Statistics, Business, or related field.
4+ years of experience in analytics, preferably at a digital company.
Strong Knowledge of relational databases and SQL.
Hands-on experience with dbt, including building models and documentation.
Experience with a data exploration tool such as Looker or Tableau.
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.
Knowledge of analysis tools; Python preferred.
Experience supporting a business domain such as Data Science and/or Data Analytics would be an asset.

What We Offer

Competitive compensation package, including RRSP Matching Program
Fun, relaxed work environment
Education and conference reimbursements.
Parental leave top up
Opportunities for career progression and mentoring others

#LI-Remote

Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com

theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.