Data-Driven BI Analyst | Tableau & SQL Expert

SCIENTIFIC GAMES

Atlanta (GA)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

Scientific Games is the global leader in lottery games, sports betting and technology, providing backend systems, entertainment experiences, and digital solutions. The BI Analyst will deliver descriptive analytics for the Lottery Insights group, leveraging Tableau, SQL, and Excel to evaluate retail sales, products, consumers, operations, and logistics.

Strong storytelling with data is essential. Responsibilities include maintaining analytic products, generating insights, answering complex

Qualifications

  • Strong Tableau background required with recent work history.
  • Recent experience using SQL to extract and aggregate data.
  • Deep knowledge of Microsoft Excel including pivot tables, VLOOKUP, IF statements, and conditional formatting.
  • Willingness to own detailed data validation and routine tasks.

Responsibilities

  • Independently maintain and refine key analytic products relied upon within the organization.
  • Proactively generate insights from regular evaluations of the lottery marketplace.
  • Answer complex ad-hoc questions from internal/external stakeholders.
  • Develop new KPIs to drive revenue for the organization and customers.
  • Provide regular reporting of industry trends to stakeholders.
  • Use BI tools like Tableau, Databricks, and SSMS to create and distribute content.
  • Support the retail products team with validation or operations reporting.

Skills

Tableau
SQL
Excel

Education

Bachelor's degree in computer science, data science, business analytics or similar field

Tools

Tableau
Databricks
SSMS

Job description

Scientific Games is the global leader in lottery games, sports betting and technology, providing backend systems, entertainment experiences, and digital solutions. The BI Analyst will deliver descriptive analytics for the Lottery Insights group, leveraging Tableau, SQL, and Excel to evaluate retail sales, products, consumers, operations, and logistics.

Strong storytelling with data is essential. Responsibilities include maintaining analytic products, generating insights, answering complex

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