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JobsTikTok

Data Analyst, Video Platform - USDS

TikTok

Data Analyst, Video Platform - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$106,400 - $177,778

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Flexible PTO policy

Wellness benefits

Learning and development stipend

Remote work flexibility

Required Skills

Python

TensorFlow

Airflow

Responsibilities

Team Intro

Tik Tok video system is a world-leading video platform that provides multimedia storage, delivery, transcoding services. As a part of the US Tech Service department, we are responsible for building the next generation video processing platform which provides excellent experiences for billions of users around the world.

Join the Video Platform team to navigate the complexities of large scale distributed systems spanning multiple regions, managing vast data streams from billions of users. Dive into the distinctive challenges posed by video on demand and live streaming, where ensuring low latency and high quality videos is paramount across diverse network conditions.

Key Responsibilities

  • Take ownership of building, maintaining, and optimizing data pipelines and ETL processes for Video on Demand and Live Streaming products, focusing on the needs of business analytics and reporting.
  • Troubleshoot, investigate, and analyze data issues as they arise, ensuring root causes are identified and resolved efficiently to maintain the integrity and quality of data in analytics solutions.
  • Work closely with cross-functional teams to define data requirements, structure, and ensure data availability for analytics and reporting purposes.
  • Design, build, and maintain reporting and dashboarding tools that provide actionable insights to stakeholders.
  • Develop and implement data models to support key business metrics and performance indicators.
  • Collaborate with data scientists, business teams, and engineers to ensure data integrity and efficient data flow.
  • Translate business needs into technical specifications and deliver insights that guide strategic decision-making.
  • Continuously monitor and optimize the performance of data pipelines and reporting solutions, identifying bottlenecks and implementing solutions to improve system efficiency.

Qualifications

Minimum Qualifications

  • A Bachelor's degree or higher in a quantitative discipline like Computer Science, Engineering, Mathematics, Statistics, Economics, or related fields.
  • 2+ years working as an Analytics Engineer, Business Intelligence Engineer, Data Analyst or similar role focused on building data pipelines, analytics solutions, or business intelligence tools.
  • 2+ years of hands-on experience with SQL, Python, or other scripting languages for data manipulation and transformation.
  • 2+ years of experience with data visualization tools (e.g., Tableau, Power BI, Looker, etc.), with a focus on creating scalable and interactive dashboards.
  • Experience in designing and optimizing ETL processes and building data models to support business metrics and KPIs.

Preferred Qualifications

  • Strong problem-solving skills and the ability to break down complex problems into actionable solutions.
  • Experience working with large-scale data systems, particularly in video or live streaming domains, is a plus.

Compensation

The base salary range for this position in the selected city is $106,400 - $177,778 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

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.

Additional Information

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.

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures