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2 дня назад

Analytics Engineer (Sports Betting)

116 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (Sports Betting) (SQL/Python/Databricks): Building and optimizing data models, pipelines, dashboards, and modeled metrics for Sportsbook Generosity and Promotional Spend with an accent on large-scale data transformation, data quality, and predictive modeling support. Focus on optimizing query execution, developing behavioral features, managing AI-assisted analysis, and ensuring reliable metrics for business decisions.

Location: New York City; hybrid role

Salary: $116,000–$145,000 USD per year

Company

hirify.global Group is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, and sports media products across the United States, Canada, and other markets.

What you will do

  • Design, build, maintain, and improve data models, datasets, dashboards, and visualizations used by data scientists, analysts, and stakeholders.
  • Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification, and prediction models.
  • Manage and optimize data transformation jobs, modeled metric pipelines, query execution, prioritization, and code performance.
  • Develop behavioral features through exploratory analysis for segmentation, analysis, and predictive modeling.
  • Implement data quality checks and alerts, maintain business rules and code implementations, and ensure modeled metrics are fit for purpose.
  • Identify improvements to ingested data and new data needs while collaborating with Data Engineering and Data Product stakeholders.

Requirements

  • At least 3 years of experience in a similar role.
  • At least 2 years of experience building, maintaining, and optimizing complex data pipelines with real-world applications.
  • Advanced SQL coding skills and experience manipulating large datasets.
  • Proficiency in at least one programming language, such as Python, R, or C#.
  • Strong problem-solving ability and attention to detail.
  • Undergraduate degree in a coding-heavy or technical discipline.

Nice to have

  • Experience building data pipelines with Python and Databricks.
  • Experience with data visualization tools such as Tableau.
  • Interest in sports.

Culture & Benefits

  • Curiosity, continual learning, innovative problem-solving, and empowered decision-making are encouraged.
  • Health plans, fertility and family planning programs, mental health support, and fitness benefits.
  • Paid time off, sick leave, annual bonus, and long-term incentive opportunities based on performance.
  • 401(k) with up to a 5% match, commuter benefits, pet insurance, and paid company holidays.
  • Reasonable workplace accommodations are available for qualified individuals with disabilities.

Hiring process

  • Accommodation support during the interview and onboarding process is available by contacting Benefits@hirify.global.com.

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