Analytics Engineer
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About the role
At WeWork, we provide flexible workspace solutions to help businesses of all sizes thrive in more than 37 countries worldwide. The future of work is here, and we're not just a part of that movement-we're leading it. United by a desire to build a global community, our purpose is to give members the support to do their best work, and the space to take their ideas to new heights. Join us as we empower tomorrow's world at work. We are looking for a Senior Lead, Data & Analytics to join our Central Data Team. In this role, you will leverage analytics to drive growth and efficiency as we enter the next phase of the company's evolution. You will have the opportunity to solve challenging macro business problems, collaborate with cross functional teams, and have direct ownership in driving value across the organization. In this role, you will: Define and Develop Key Business Metrics: You'll collaborate with business partners to define metrics for sales, membership, revenue and operational-related initiatives. You'll work within the central data organization in modeling and maintaining KPIs. Enable functional analytics team to deliver key dashboards and reports: You'll own the development of metrics, data models and the underlying logic that powers the key dashboards and reporting, which supports strategic decision-making by leadership. Serve as a Cross-Functional Data Subject Matter Expert: You'll act as both the technical and business expert to help streamline decision-making between our technology team, and core business functions, including sales, finance and operations. Support Data Integrity: You'll identify and debug issues with core KPIs, and coordinate with fellow data practitioners and stakeholders to utilize one source-of-truth. About You We'd love to hear from you if you meet the qualifications below: Core competencies and technical skills: 5+ years experience working in an analytical capacity modeling and/or interpreting data (e.g. Data Analyst, Data Scientist, Data Engineer, Consultant) Highly skilled at writing and interpreting complex SQL queries Experience building dashboards with a data visualization tools (e.g. Tableau, PowerBI) Underlying understanding of databases and data structures Experienced in building and maintaining data models with modern data stack, such as Snowflake, Airflow, DBT Working knowledge of a scripting language (e.g. Python, R) Ability to work autonomously with cross functional stakeholders as a primary point of contact in supporting their data needs Possess an intuition for understanding underlying business needs and a knack for dealing with ambiguity A degree with a quantitative focus (e.g., Economics, Statistics, Engineering, or equivalent practical experience)
Requirements
- Experience working with CRM (Salesforce, Hubspot, etc) software and data, or have worked on measuring sales performance indicators.
- Experience with Financial Data (e.g. workday financials)
- Prior experience in Sales Focused Roles, Analytics Consulting, or a Growth Stage company
- Experience with Git and CI CD workflows
- Experience with Cloud Services (AWS or GCP)
- Experience designing and maintaining semantic models (e.g., dbt Semantic Layer, Snowflake Cortex Analyst) to power LLM-driven self-serve analytics agents, including defining entities, relationships, and business metrics to improve the accuracy and usability of natural language data interactions
- Compensation & Benefits
- Base Pay: $90,000 to $120,000 annually
- Life at WeWork
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Company Intel
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