Business Data Analyst - Sportsbook

at  LeoVegas Group

ESSENTIAL SKILLS (MUST HAVE)

• Advanced SQL skills – ability to write complex queries on large datasets with many joins, CTEs, window functions etc. Experience writing these queries using databases such as Bigquery, Redshift, SQL Server etc.
• Strong data visualization skills – highly proficient with Domo, Tableau, or related dashboarding tools (Looker, Power BI etc.)
• Experience with advanced analytics, data science, or automation projects
• A natural curiosity and intuition for data - ability to create models/frameworks to break down complex problems without fully defined requirements and questions
• Excellent Verbal and written Communication skills and the ability to create and tell stories with data

NICE TO HAVE SKILLS (NICE TO HAVE)

• Experience with Python/R experience or competency with other scripting language
• Experience with database design and ETL, and associated technologies such as DBT

WHO WE ARE

At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what
enables us to innovate, build, and lead as we trail blaze our way through the igaming
industry. We’re a team of over 1400 innovators, initiators, and groundbreakers working
in a fast-paced and agile environment across 11 offices worldwide.

ABOUT THE ROLE

The Business Data Analyst performs data analyses and provides data-driven recommendations to support the operation of the LeoVegas sportsbook business. Day-to-day work will consist of addressing data related queries from stakeholders by creating data products such as dashboards, reports, analysis, and automation. The role holder will be a catalyst for data-driven decision making around the company, through their strong data storytelling and visualization skills to communicate advanced business insights. This role will work frequently with a wide array of teams including: data engineers, data scientists, bookmaking operations, CRM, product, and management.

YOU WILL BE RESPONSIBLE FOR:

• Defining analytical requirements and scoping in response to both high-level and hyper-specific questions about the sportsbook business
• Executing analyses using a blend of simple and complex techniques, ranging from data visualization to data science
• Telling stories using data and communicate findings to influence decisions, based on the rigorous analyses you have performed
• Providing thought leadership and technical consultation to various sportsbook stakeholders and management
• Developing user-friendly dashboards and reports
• Supporting business with Ad-Hoc Reporting requests
• Supporting a culture of data literacy and data-driven decision making