Zynga

Zynga

Principal Data Analyst - Poker

Austin, TX; Toronto, Canada · Principal · Full-time

No sponsorship$15k-$25kDetected 8 days ago
PythonGitMachine LearningData EngineeringData ScienceData VisualizationStatisticsA/B TestingProduct StrategyOnboardingControlsEpicLeadershipCommunicationCollaboration

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odds of building a lasting career here

35Risky
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 80%

Of 5 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 433 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • At Zynga, Principal is the next step above Senior; a great fit for analysts ready to take on broader ownership and scope.
  • As part of our analytics team, you'll play a crucial role in shaping the future of our game through data-driven insights.

Responsibilities

  • Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards.
  • Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements.
  • Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence.
  • Design game telemetry to capture meaningful player interaction data to improve the game experience.
  • Design and maintain a suite of highly visible dashboards used by game leadership and game designers to make strategic decisions for Zynga Poker
  • Play a leading role in the design and continuous improvement of our fraud and bad actor models
  • Actively play and engage with our games to maintain first-hand understanding of player experience, game mechanics, and potential pain points.
  • Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team.

Requirements

  • Minimum of 8 years in data science or analytics roles, preferably with 6 years in a Product Data Science or Gaming Analytics team
  • Proficiency in Python and SQL.
  • Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous.
  • Experience/ Demonstrated interest in improving analytics team's processes and work efficiency using LLMs.
  • Strong communication skills - you can explain complex data in simple, actionable terms
  • Experience/ Interest in improving analytics team's processes and work efficiency using LLMs.
  • Familiarity with poker gameplay and terminology
  • Familiarity with social casino economies
  • All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship.
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus.
  • Demonstrated experience guiding product teams through complex decisions and analyses and dealing with ambiguous data
  • Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
  • Strong ability in both written and oral communication.
  • Highly self-motivated with a keen interest in problem-solving.
  • Willingness to take ownership of challenges.
  • Proven ability to work collaboratively as part of a team.
  • Bonus Points:

Nice to have

  • Level Up Your Career with Zynga!
  • From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone.
  • Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich!
  • Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™,
  • Puzzles & Spells™, Match Factory™, and Color Block Jam™-plus many more!
  • Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level.
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
  • Advanced degrees (Masters or PhD) are a plus.

Compensation

  • The pay range for this position in Ontario at the start of employment is expected to be between $118,300 and $142,000 per Year.

Benefits

  • Support the economy team in tuning the different features in the game to optimize for long term game and feature health

Company info

  • At Zynga, we bring people together through the power of play.
  • Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences.

Visa & Work Authorization

  • Please note that Zynga is unable to provide visa sponsorship or assistance for this position.

This listing is sourced directly from Zynga's careers page and normalized into a canonical job model.