basic
Staff Analytics Engineer, Central Data
Antananarivo, Analamanga, Madagascar
Full-time
USD 126000.00
Per year

Airbnb has become a global platform that connects travelers and hosts in approximately 100,000 cities around the world. Our mission is to enable a world where anyone can belong anywhere. About the Position: The Central Analytics Engineering team is looking for a Staff Analytics Engineer to join our team. We focus on enabling Analytics Engineering across all of Airbnb. We also own and curate central data models, data resources, and metrics that are critical to our business. Analytics Engineers build the data foundation for reporting, analysis, experimentation, and machine learning. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and large-scale distributed data processing frameworks like Presto or Spark. Using these tools, along with first-class internal data tooling, you will transform data from data warehouse tables into critical data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and/or empower downstream data consumers. As a Data Scientist on the Analytics Engineering track you will sit at the intersection of data science and data engineering, and work collaboratively to achieve highly impactful outcomes. Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. You will make that happen. Your Responsibilities: Understand data needs by interfacing with fellow Analytics Engineers, Data Scientists, Data Engineers, and Business Partners Define and share best practices on metric, dimension, and data model development for analytics use Build and improve data tooling in partnership with internal Data Platform teams Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering Design and implement metrics and dimensions to enable analysis and predictive modeling Design and develop dashboards or other data resources to enable self-serve data consumption Build tools for auditing, error logging, and validating data tables Define logging needs in partnership with Data Engineering Required Qualifications: Passion for high data quality and scaling data science work 6+ years of relevant industry experience Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hadoop, Hive) Experience in at least one programming language for data analysis (e.g. Python, R) Experience in schema design and dimensional data modeling Ability to perform basic statistical analysis to inform business decisions Proven ability to succeed in both collaborative and independent work environments Detail-oriented and excited to learn new skills and tools Preferred qualifications: Experience with an ETL framework like Airflow Python, Scala, Superset, and Tableau skills preferred An eye for design when it comes to dashboards and visualization tools Familiarity with experimentation and machine learning techniques Benefits Stock $2,000 yearly employee travel coupon Competitive salary Paid time off Medical, dental, & vision insurance Life & disability coverage 401K Flexible Spending Accounts Apple equipment Daily breakfast, lunch, and dinner We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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