{"n":"Bi Developer Lookers","p":129,"c":22,"o":30,"m":116000,"h":56,"a":94,"rg":[["EMEA",40],["Americas",34],["APAC",26]],"b":[["Junior",8,62000,72000,84000],["Mid-level",42,83000,97000,113000],["Senior",30,102000,119000,138000],["Lead",14,116000,135000,157000],["Principal",6,142000,165000,191000]],"rl":[["AI Data Trainers","ai-data-trainers",40],["Ai Engineer & Researchers","ai-engineer-researchers",40],["AI Product Engineers","ai-product-engineers",40],["Cloud Engineering Managers","cloud-engineering-managers",40],["Community Engineers","community-engineers",40],["Developer Success Engineers","developer-success-engineers",40]],"r":[["Loki","Webflow E-Commerce Developer","Americas",100,118,189300],["Wanda Maximoff","Senior Webflow Developer","EMEA",100,128,205000],["Scott Lang","Enterprise Webflow Developer","EMEA",100,101,162050],["Dr. Stephen Strange","Webflow Frontend Developer","APAC",100,74,119050],["The Visionary","Lead Production Engineer","APAC",99,46,95000],["The Titan","Lead Unreal Programmer","APAC",99,77,160000],["Batman","Principal Software Engineer","EMEA",99,77,160000],["Grace","Principal Research Engineer","EMEA",99,62,130000],["The Innovator","Principal Quality Engineer","APAC",99,67,140000],["The Mentor","Lead Developer","Americas",99,72,150000],["The Wise Mentor","Technical Architect","Americas",99,72,150000],["Toast","Test Architect","APAC",99,72,150000]],"j":[["Data Modeling and Architecture",["Designing and optimizing data models for efficient querying.","Creating dimensional models for reporting and analysis.","Identifying and resolving data quality issues across datasets.","Establishing ETL processes for data ingestion and transformation."]],["Looker Development and Dashboards",["Building LookML models to represent business metrics accurately.","Creating dynamic dashboards tailored to user requirements.","Implementing and maintaining user access controls in Looker.","Developing scheduled reports for automated data distribution."]],["Collaboration and Training",["Conducting training sessions on Looker functionalities for users.","Collaborating with data engineers on data pipeline improvements.","Gathering requirements from stakeholders for reporting needs.","Providing ongoing support to users navigating Looker."]],["Performance Monitoring and Optimization",["Monitoring query performance and optimizing for faster execution.","Tracking user engagement with dashboards for improvements.","Assessing data model changes for performance impacts post-deployment.","Implementing caching strategies to enhance reporting speed."]]]}