Senior Game Data Analyst - Racing at Zynga

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At NaturalMotion, we make games that wow people. We innovate to create experiences that previously were impossible and that would not exist without us. We take pride in making titles that reach a large audience and in creating communities that last. For the past seven years, NaturalMotion Studios has been named one of the Best Places to Work in the UK games industry by gamesindustry.biz.

We embrace a hybrid work environment. Within this role, you would work 2 days per week (Wednesday and Thursday) in our London or Birmingham office and the remaining days at home.

Job Purpose

We are looking for a Senior Game Data Analyst to join our Racing business, which is responsible for the CSR Racing franchise, including the #1 Racing Game on Mobile, CSR2 and the groundbreaking next installment, CSR3.

As a Senior Analyst, you will be working closely with the rest of the team to create high-quality insights and analytical products that help inform actions for the partner teams in the studio. We have millions of players that generate rich and complex datasets alongside a strong analytics infrastructure. You will be part of a dedicated in-house team responsible for amazing analytics and data science that wow our partners and take a player-first approach.

Key Roles & Responsibilities

Provide critical thinking and problem solving as a product analyst partner with stakeholders.
Use complex data to identify opportunities to drive value for studio/players
Design and analyze experiments that inform decisions and help us continue to delight players
Deliver actionable insight as a cross discipline partner to influence decisions/roadmaps, etc
Impactfully communicate with compelling visuals/strong storytelling
Be an effective cross discipline partner in studio, collaborate with global analytics community
Deliver robust modeling: supervised, unsupervised, etc
Contributing to the innovative thinking culture of our local and global analytics discipline
Deploy good programming principles. Work with peers on end to end data pipelines: Telemetry >ETL’s > empowering end users

Required Skills & Experience

Bachelor’s degree in preferred topics: Data Science, Math, Statistics, Comp Sci, Engineering, Economics or other technical field; Advanced degrees welcome
Proven track record as an Analyst, preferably within gaming, technology or digital
Confident in manipulating, transforming, and analyzing complex data at large scales
Experience with:

SQL and Python, excited to learn new languages where needed
Big Data infrastructures: Redshift, Spark, Databricks or others
BI tools like Tableau or building out bespoke visuals/tools using open source
Multi-variant testing design and read-outs

Passionate about analytics and/or Data Science with a growth mindset, excited to work with complexity and sometimes ambiguity and drive solutions
Demonstrated stakeholder partnering and/or consultancy skills
Good influencing skills and enjoys working with partners across disciplines
Strong balance of business acumen alongside analytical and technical skills
Strong attention to detail, natural curiosity with the ability to problem-solve creatively
Excellent communication skills, comfortable explaining complex ideas clearly and simply

Desirable Skills & Experience

Experience with Discovery, Prediction and Optimization analytical techniques
An interest in the games market and/or enjoys engaging in games/digital apps

What We Offer You

Competitive salary and discretionary annual bonus scheme
Create next-gen games that will be played and loved by millions of players around the world
Work in a family-oriented, collaborative team that invests in your development and growth on-the-job
A diverse team of friendly, fun and supportive co-workers
26 days holiday + bank holidays, 2 paid personal days
6 months of fully paid maternity/adoption leave or 16 weeks of fully paid paternity leave (eligibility criteria apply)
Pension plan with a double matching employer contribution (capped at 8%)
Private medical insurance, dental insurance and healthcare cash plan
Life insurance, accident insurance and long-term disability insurance
Company Employee Stock Purchase Plan (ESPP) (eligibility criteria apply)
Fitness Reimbursement plan worth £600 per annum
Charitable Giving Platform to which the Company contributes a 2:1
Annual season ticket advance and cycle to work scheme

We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!

We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.

We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at accommodationRequest@zynga.com to request an accommodation associated with your application for an open position.

#LI-Hybrid

Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).

If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $70,000 - $110,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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