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Business Intelligence Analyst

Summary

Business Intelligence Analyst leveraging SQL, Excel, and visualization tools (Power BI/Tableau) to analyze data, build models, and recommend data-driven strategies for product teams at an adult entertainment company.

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols.

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).

*A select number of positions require full-time in office attendance*

The Business Intelligence Analyst acts as a subject-matter expert, leveraging data to define, develop, and communicate product strategy to clients, and senior leadership. As a member of a growing team, this role requires comfort with ambiguity, the ability to independently identify opportunities, and a strong sense of ownership. You will be responsible for analyzing and reporting on data, as well as recommending data-driven strategies to our product teams.

What you'll be doing:

  • Use data and build models to help solve problems using analytical and/or numerical methodologies
  • Explore databases to leverage relevant information to optimize processes, identify areas of improvement and build strategy
  • Understand complex payment flow, define use cases to optimize current solutions
  • Look for patterns, inconsistencies, and areas of potential optimization
  • Communicate and understand client requests to help understand performance, and develop data solutions
  • Create custom reports for management to help aid in their day-to-day and give them the power to make informed and data-driven decisions
  • Work with our partners to prioritize and deliver important milestones and deliverables
  • Develop and maintain the ability to communicate complex data issues to various teams including product managers, engineers, and upper management

What you'll need to be successful:

Must haves:

  • 2+ years of experience in a similar analytical role
  • Bachelors in Statistics, Finance, Computer Science, or other analytical field (or relevant work experience)
  • Advanced experience with Microsoft Excel, and SQL; Comfortable reasoning with abstract data requiring recursive or layered logic across tables
  • Proficiency with at least one visualization tool such as Power BI or Tableau
  • Experience in data modeling, client management, analytics, and business savviness
  • Familiarity with at least one analytical tool like Python or R

Nice to Haves:

  • More advanced knowledge of Python and/or development concepts
  • E-commerce and/or Payment Processing experience

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV

  • LinkedIn Profile/ Profile Linkedin optional
  • What country are you located in?/ Dans quel pays êtes-vous situé? choose one
  • Work Authorization/ Authorization de travail: choose one
  • How did you hear about this opportunity?/ Comment avez-vous entendu parler de cette opportunité? choose one
  • If you chose other for how you heard about this opportunity, please specify how you heard about it/ Si vous choisissez « autre » pour comment avez-vous entendu parler de cette opportunité, veuillez spécifier de quelle façon vous en avez entendu parler
  • GDPR Authorization/ Autorisation GDPR choose one
  • What is your preferred language? / Quelle langue préférez-vous? choose one

See also

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