refresh

トレンド企業

Trending

採用

JobsRiot Games

Insights Analyst Coordinator - 金铲铲之战(Contract)

Riot Games

Insights Analyst Coordinator - 金铲铲之战(Contract)

Riot Games

Shanghai, China

·

On-site

·

Contract

·

2w ago

Required Skills

Data analysis

Problem-solving

Communication

Collaboration

As an Insights Analyst Coordinator on **Fight For the Golden Spatula (金铲铲之战) **team, you will make use of data sets to report on game health and product performance,helping game developers understand the opportunity and audience for their game. You will use your expertise in bridging data analysis with product strategy to share key takeaways to guide product improvement. You will report to the Manager of Game Production.

Responsibilities:

  • Supporting Insight Lead in game health assessment, including but not limited to analyzing engagement,revenue,retention, and monetization metrics.

  • Support Insight Lead in conducting deep-dive product analysis to guide product strategy and answer key product/design questions.

  • Identify trends, risks, and opportunities through player segmentation and behavioral analysis.

  • Work with our partner in field studies and player research initiatives, output reports and do follow ups.

  • Drive competitive & market analysis, understand industry trends and competitor games, evaluate emerging monetization models (e.g., subscriptions, battle passes, ads).

  • Present results to audiences with a range of technical proficiencies, and communicate effectively with stakeholders about project progress and timelines.

Required Qualifications:

  • Bachelor's degree in Economics, Engineering, Computer Science, Data Analysis or a related field.

  • Strong analytical skill set capable of defining problems, and developing innovative solutions utilizing appropriate methods and frameworks.

  • Strong collaboration skills, able to work with cross-functional teams and partners to align stakeholder needs, gather key information and drive results

  • Product-savvy mindset, understanding of game mechanics, F2P models, and player psychology.

  • Excellent interpersonal skills and ability to craft reports and presentations for non-technical audiences.

  • Strong ownership and can take initiative in defining the push things forward when facing ambiguous situations.

  • Proficiency in both English and Mandarin

Desired Qualifications:

  • Familiarity with games or the gaming industry

  • Skills and Experiences with data visualization

  • 2+ years of consultancy or analytics experience

  • Proficiency with Tableau and SQL, Python or similar language

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Employment Type: employment contract with FESCO Adecco, a professional personnel company in China.

Total Views

1

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Riot Games

Riot Games

Riot Games

Acquired

We aspire to be the most player-focused game company.

1,001-5,000

Employees

Los Angeles

Headquarters

Reviews

3.9

2 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

4.5

Career

3.5

Management

4.0

78%

Recommend to a Friend

Pros

Higher pay and competitive compensation

Better work-life balance

Strong gamer-friendly culture

Cons

Full-time transition contingent on performance

Lower compensation ceiling compared to some competitors

Game industry specificity limits general tech resume value

Salary Ranges

2 data points

Staff/L6

Staff/L6 · Data Scientist P4

0 reports

$240,750

total / year

Base

-

Stock

-

Bonus

-

$204,638

$276,862

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 13%

Neutral 87%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview

5

Craft Interview

6

Final Round/Onsite

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit