189 jobs for "Field Exam Analyst - Business Credit"

Responsibilities

Our Global e-Commerce Governance and Experience (GNE) team ensures that TikTok's marketplace remains safe and trustworthy for users, sellers, and creators. As a Listing Governance Program Manager Graduate in the Listing Governance team, you will contribute to the creation and execution of policies and systems that safeguard the platform's quality and sustainability. It will offer you hands-on experience in a fast-paced, global e-Commerce environment, empowering you to drive impact while working alongside experts in the field.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Assist with the governance of international e-Commerce products, particularly focusing on identifying and addressing low-quality and subpar products on the platform.
- Support the analysis of business data, performing attribution analysis to identify and respond to fluctuations in product listing performance or potential governance issues.
- Provide daily operational support by organizing and following up on project tasks, reviewing data, and assisting with special reports.
- Work closely with cross-functional teams such as product, algorithm, and risk control to enhance and upgrade the platform's risk control capabilities and ensure the quality of the user experience.

Qualifications

Minimum Qualification(s):
- Individuals who are completing or have recently completed a Master's degree in Computer Science, Data Science, or related fields or a related discipline.
- Excellent verbal and written communication skills
- Proficiency in office software and analytical tools
- Strong research, investigation, and data-driven decision-making skills.
- Ability to thrive in ambiguity and adapt quickly to changing environments.

Preferred Qualification(s):
- Strong data analysis skills
- Previous experience with e-Commerce platforms or relevant internships.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $80169 - $121600 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 Qualification(s):
- Individuals who are completing or have recently completed a Master's degree in Computer Science, Data Science, or related fields or a related discipline.
- Excellent verbal and written communication skills
- Proficiency in office software and analytical tools
- Strong research, investigation, and data-driven decision-making skills.
- Ability to thrive in ambiguity and adapt quickly to changing environments.

Preferred Qualification(s):
- Strong data analysis skills
- Previous experience with e-Commerce platforms or relevant internships.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

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

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