Senior BI Developer, Trust & Safety Operations
Unity
AirflowAmazon RedshiftBigQueryCloudETLPythonScalaSQLTableau
BI Engineer III
Gemini Legal
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $125,000 - $149,000 per year
Job Level
Mid-LevelSenior
Tech Stack
ETLJavaScriptPythonSQLTableau
About the role
- Conduct comprehensive data collection, organization, analysis, and support visualization to provide actionable insights
- Manage ETL processes and develop/maintain data warehouse structures including OLAP and materialized views
- Develop complex dashboards and reports and perform detailed statistical analyses
- Collaborate with cross-functional teams to define data requirements and deliver insights
- Create sophisticated data presentations following Data Analytics UI/UX standards
- Design and implement data processes and automation for efficiency
- Support BI Developers with SQL, views, stored procedures, and database analysis
- Contribute to data analytics best practices and ensure data integrity and security
- Initiate and manage multiple projects, prioritize tasks, and meet deadlines
- Continuously enhance technical skills and stay current with industry trends
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Economics, Information Management, Statistics, or a related field, or equivalent experience level
- 4-6 years of progressive professional experience in data work
- Proven track record in conducting complex statistical analyses, executing projects, and generating actionable insights from large data sets
- Advanced time management and organizational skills
- Strong verbal and written communication skills
- Fundamental orientation to collaborative work styles
- Ability to handle a high volume of work and function in a fast-paced environment, on deadline
- Self-motivated and directed, with keen attention to detail
- Proficient using Google Workplace (Docs, Sheets, Calendar, Gmail, etc.)
- Extensive experience in database management, database development, data querying with SQL
- Proficiency in at least one coding language for the use of data analytics (e.g. Python, R, etc.)
- Experience using data visualization tools like Tableau
- Experience with ETL best practices and tools
- Advanced Proficiency in managing and developing data warehouse structures like materialized views and calculated fields
- Proficiency in developing and working with OLAP/data summary structures in a data warehouse setting
- Dedication to continuous improvement, self and group learning
- Experience working in an office setting
- Must be able to sit for at least one hour at a time and keyboard for extended periods
- Travel may be required up to 10% of working hours
