锦鲤求职岗位描述
岗位职责
1.Drive end-to-end performance tracking and operational visibility across core food, quick-commerce, and specialized business verticals.
2.Construct, optimize, and maintain complex Hive SQL queries using CTEs, window functions, and JSON parsing logic to power core reporting infrastructure.
3.Integrate GenAI tools into daily routines for automated code optimization, unstructured text/sentiment analysis, script debugging, and technical analysis generation.
4. Design and launch automated BI dashboards, interactive scorecards, and multi-tier performance models with key modules like UE, cost and occurrence for internal and external support teams.
5. Collaborate with business and operations to author data schema requirements (MRDs), streamline multi-scope requests, and standardize regional metric definitions during different business cycles.
岗位要求
1. 3-5+ years of experience in Business Intelligence, Customer Analytics, or Operations Analytics within high-growth tech, e-commerce, or multi-vertical platforms.
2. Expertise in writing, debugging, and tuning complex SQL/Hive queries, with strong mastery of complex sql functions and data transformations.
3. Practical proficiency in leveraging GenAI tools for query building and analytical automation, alongside scripting experience in Python or VBA/Power Query.
4. Deep familiarity with core operational benchmarks spanning customer experience, operational efficiency, cost management, and team productivity.
5. Strong ability to translate complex data models into actionable business strategies, executive memos, and structured performance frameworks.
岗位亮点
1. Multi-Vertical Strategic Scope: Lead analytical decision-making across diverse business operations and emerging service offerings in key regional markets.
2. AI-First Culture: Direct exposure to cutting-edge AI tools to automate reporting overhead, refactor code, and accelerate deep-dive data processing.
3. High Impact & Cost Optimization: Direct involvement in shaping unit economics, evaluating strategic customer policies, and building cost-reduction models.
4. End-to-End Ownership: Opportunity to build reporting systems from end to end data architecture design (MRDs) to front-end dashboard visualization to delivery of the strategic insights and recommendations.
5. Regional Scaling & Migration: Play a central leadership role in standardizing operational frameworks and migrating data engines across regional and international markets.