1,034 jobs for "Product Data Analyst"

Responsibilities

Team Introduction:
We are an agile, cross-functional team leveraging the company-wide data platform infrastructure to explore the integration of large language models (LLMs) with data products. Our mission is to innovate next-generation solutions for data querying and analytics-covering key scenarios such as A/B testing and BI dashboards-by harnessing LLMs and peripheral technologies. Ultimately, we aim to deliver end-to-end solutions that rival the capabilities of human engineers and analysts.

As a member of our team, you are expected to:
1. Actively contribute to the development and iteration of intelligent data products.
2. Continuously analyze user feedback, build business insights, and apply technical expertise to identify and resolve issues.
3. Closely monitor, learn, and adopt cutting-edge industry technologies.

Qualifications

Minimum Qualifications:
1. Familiarity with data products, including foundational knowledge of data production, querying, and analytics, as well as related ecosystems.
2. Solid understanding of concepts and technologies in LLM application development (e.g., prompt engineering, knowledge retrieval, agentic systems, benchmarking); hands-on experience is a strong plus.
3. Proficiency in Python and other programming languages, with strong coding skills.

Preferred Qualifications:
1. Proven experience in data product development or domain-specific data analysis.
2. In-depth understanding and hands-on experience in areas such as LLM fundamentals, fine-tuning, evaluation, and application ecosystems.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
1. Familiarity with data products, including foundational knowledge of data production, querying, and analytics, as well as related ecosystems.
2. Solid understanding of concepts and technologies in LLM application development (e.g., prompt engineering, knowledge retrieval, agentic systems, benchmarking); hands-on experience is a strong plus.
3. Proficiency in Python and other programming languages, with strong coding skills.

Preferred Qualifications:
1. Proven experience in data product development or domain-specific data analysis.
2. In-depth understanding and hands-on experience in areas such as LLM fundamentals, fine-tuning, evaluation, and application ecosystems.

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Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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