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Data Analyst 3
Posted on 2/19/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Data Science
Data Structures & Algorithms
Management
Marketing
Redshift
SQL
Tableau
Python
Operations Research
Requirements
  • Bachelors degree in Math, Statistics, Computer Science, Economics, Operations Research, or other quantitative field required
  • 4+ years of relevant work experience in data science or analytics roles; game industry experience is a bonus
  • Demonstrated experience with some or all of the following: machine learning, data mining, predictive modeling, statistics, experimental design, computational analytics, econometric modeling, data visualization
  • Fluent in SQL, Python, and other programming languages; Experience in applying machine learning on large datasets, preferably using Spark on Databricks
  • Skilled in at least one visualization tool such as Tableau
  • Experience in analyzing large datasets, preferably with Spark, and deploying production ready systems at scale; familiarity with DataBricks and AWS is a bonus
  • Strong written and oral communication skills
  • Ability to work effectively in a fast-paced environment with changing priorities
  • Comfortable working in different work environments and cultures with ease
  • Able to coordinate complex initiatives with different stakeholders
  • Passion for gaming
Responsibilities
  • Work closely with the product leadership with a focus on generating actionable insights and end-to-end data solutions that have a measurable impact on the core KPIs
  • Proactively monitor the performance of the game and new features, producing insightful analysis and data visualizations, and analytically validate product assumptions
  • Build and maintain relationships with product management, design, marketing, and advertising teams to understand the analytical requirements of the business
  • Leverage our modern tech stack, AWS (Redshift & Kinesis), DataBricks and PySpark, Airflow, and Tableau to identify opportunities to improve the experience that Zynga provides to its players
  • Apply predictive modeling and Data Mining techniques for a variety of user modeling tasks within Zyngas Game Network
  • Specifically, you may encounter projects focused on: modeling the in-game economy through simulation, personalizing our in-game store using recommendation algorithms, or combating fraud and abusive behavior through near-real time interventions
  • Own experimentation efforts, including experimental design and analysis
  • Collaborate with engineers to drive key strategic initiatives for the improvement of the data and analytics infrastructure
  • Proactively bring forth new analytical approaches and data science solutions by leveraging the broader Zynga Analytics community
Zynga

1,001-5,000 employees

Interactive entertainment & game development
Company Overview
Zynga's mission is to connect the world through games.
Benefits
  • Compensation - Competitive salary, performance bonuses, opportunities for equity participation, retirement/pension savings support programs
  • Health - Medical, Dental, Vision covered for employees with participation for employees eligible dependents as well as Disability and life insurance program
  • Family - Generous parental leave for birth parents, partners and adoptive families. Infertility support, emergency child care and flexible time-off policies
  • Wellness - Gym benefits, wellness programs, employee assistance programs and generous time-off policies
  • Food - Food and snacks made in-house or delivered, healthy snack kitchens with drinks and treats, coffee bars, regular social gatherings and happy hours
  • Work & Life - Flexible time-off policies (DTO), office rest areas, gaming spaces, employee discounts and more
  • Transit Benefits - Shuttle service in select locations, commuter/parking benefits, secure bicycle storage, business travel assistance
  • Resource Groups - Women at Zynga (WAZ), zCares charitable giving, zParents, zEndurance adventure club, BZU, zPride LGBTQ+ inclusion and belonging