Data Analyst, Video Platform - USDS

ork in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $101080 - $168888 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.