Hybrid BI Analyst: Data-Driven Growth & Insights

BIGO; California; Hybrid; USD 85,000 - 120,000; Full time

Job summary

BIGO LIVE in Los Angeles is seeking a talented Business Intelligence Analyst who thrives at the intersection of data, product, engineering, and operations. You will own reporting and analytics to drive decisions for launches and improvements.

You will build data pipelines, work with SQL, Python and Excel, and partner with cross-functional teams to align KPIs and inform leadership strategy in a fast-paced environment.

Qualifications

• BA or BS degree in a quantitative field (data science, finance, information systems, mathematics, statistics or similar).
• At least 3 years of analyst experience (5 preferred), combining technical and practical insights for leadership.
• Experience using SQL, Excel, and at least one scripting language such as Python, R, or JavaScript.
• Proficiency converting data sets into actionable business insights.
• Experience presenting reports to non-technical audiences.
• Ability to navigate ambiguity with data-driven decision-making in a fast-paced environment.
• Strong communication and teamwork skills.

Responsibilities

• Independently own internal team data using SQL, Python, Excel and provide ongoing reporting.
• Create and manage data pipelines in Excel, SQL or Python to aggregate data for different operations teams.
• Build, maintain and provide data for internal operations teams, clarifying requirements for report specs.
• Ensure KPI and metrics are aligned across the different business functions in the operations team.
• Advise leaders and support decisions for launches of in-app initiatives.
• Understand ecosystems, behaviors, and long-term trends of live-stream content.
• Travel may be required domestically and internationally to fulfill responsibilities.

Skills

SQL

Excel

Python

R

JavaScript

Education

Bachelor's degree in a quantitative field

Job description

BIGO LIVE in Los Angeles is seeking a talented Business Intelligence Analyst who thrives at the intersection of data, product, engineering, and operations. You will own reporting and analytics to drive decisions for launches and improvements.

You will build data pipelines, work with SQL, Python and Excel, and partner with cross-functional teams to align KPIs and inform leadership strategy in a fast-paced environment.