Business Intelligence Analyst - Trust and Safety

Responsibilities

The Business Intelligence Team empowers data-driven decision-making within our organization. We are committed to delivering meaningful insights that drive continuous improvement and optimize performance across all operational areas. The Business Intelligence team owns and manages operational metrics and develops robust reporting systems and analytical insights to ensure accuracy, actionability, and timeliness of information. Our focus is on fostering collaboration, innovation, and efficiency for Trust & Safety (T&S) global functioning.

Responsibilities:
- Partner with cross-functional stakeholders to gather, prioritize, and translate business requirements into scalable analytics and automation solutions.
- Develop and maintain scalable data workflows (e.g. Scheduled SQL queries, Python scripts or RPA bots).
- Collaborate with operations, engineering, and platform teams to improve systems integration and data flow between platforms (e.g. workflow tools and databases).
- Build, design, and monitor reporting tools that surface key metrics and operational insights. These may include data related to efficiency and quality performance in moderation teams.
- Develop and maintain technical documentation, data definitions, and user documentation to support scalable analytics solutions.
- Evaluate emerging analytics, automation, and AI technologies to improve operational efficiency, scalability, and data accessibility.
- Ensure data quality, validation, and governance standards across automated reporting and AI-assisted workflows to support accurate, reliable decision-making.

Qualifications

Minimum Qualification(s):
- 5+ years of hands-on experience in data automation, analytics, or a related analyst role.
- Strong stakeholder management and communication skills, with the ability to translate business needs into scalable data solutions and technical concepts into actionable business insights.
- Proficient in Excel automation, data pipeline development, and scripting for automation tasks, including proficiency in Python and SQL for data analysis, automation, and scalable data workflows.
- Experience applying data quality, validation, and governance best practices to ensure accurate, reliable, and trustworthy analytics.
- Understanding of relational databases and/or data warehousing for concepts (e.g. BigQuery, Snowflake).
- Proven analytical problem-solving skills with a keen eye for detail and process optimization.
- Familiarity with data visualization tools, e.g., Tableau, Power BI, etc.

Preferred Qualification(s):
- A Bachelor's degree or higher in Management Information Systems, Computer Science, Business Analytics, Statistics or related subjects is preferred.
- Comfortable with ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines.
- Experience working in Trust and Safety scaled operations, with an understanding of content moderation workflows or workflow management systems.
- Strong organizational skills and the ability to manage multiple projects simultaneously in a fast-paced environment.
- Experience identifying opportunities to leverage AI-assisted tools and automation to improve reporting, operational workflows, and productivity.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $108000 - $151200 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

Responsibilities

The Business Intelligence Team empowers data-driven decision-making within our organization. We are committed to delivering meaningful insights that drive continuous improvement and optimize performance across all operational areas. The Business Intelligence team owns and manages operational metrics and develops robust reporting systems and analytical insights to ensure accuracy, actionability, and timeliness of information. Our focus is on fostering collaboration, innovation, and efficiency for Trust & Safety (T&S) global functioning.

Responsibilities:
- Partner with cross-functional stakeholders to gather, prioritize, and translate business requirements into scalable analytics and automation solutions.
- Develop and maintain scalable data workflows (e.g. Scheduled SQL queries, Python scripts or RPA bots).
- Collaborate with operations, engineering, and platform teams to improve systems integration and data flow between platforms (e.g. workflow tools and databases).
- Build, design, and monitor reporting tools that surface key metrics and operational insights. These may include data related to efficiency and quality performance in moderation teams.
- Develop and maintain technical documentation, data definitions, and user documentation to support scalable analytics solutions.
- Evaluate emerging analytics, automation, and AI technologies to improve operational efficiency, scalability, and data accessibility.
- Ensure data quality, validation, and governance standards across automated reporting and AI-assisted workflows to support accurate, reliable decision-making.

Qualifications

Qualifications

Minimum Qualification(s):
- 5+ years of hands-on experience in data automation, analytics, or a related analyst role.
- Strong stakeholder management and communication skills, with the ability to translate business needs into scalable data solutions and technical concepts into actionable business insights.
- Proficient in Excel automation, data pipeline development, and scripting for automation tasks, including proficiency in Python and SQL for data analysis, automation, and scalable data workflows.
- Experience applying data quality, validation, and governance best practices to ensure accurate, reliable, and trustworthy analytics.
- Understanding of relational databases and/or data warehousing for concepts (e.g. BigQuery, Snowflake).
- Proven analytical problem-solving skills with a keen eye for detail and process optimization.
- Familiarity with data visualization tools, e.g., Tableau, Power BI, etc.

Preferred Qualification(s):
- A Bachelor's degree or higher in Management Information Systems, Computer Science, Business Analytics, Statistics or related subjects is preferred.
- Comfortable with ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines.
- Experience working in Trust and Safety scaled operations, with an understanding of content moderation workflows or workflow management systems.
- Strong organizational skills and the ability to manage multiple projects simultaneously in a fast-paced environment.
- Experience identifying opportunities to leverage AI-assisted tools and automation to improve reporting, operational workflows, and productivity.