Analytics Engineer

JOB DESCRIPTION:

• The Trust Data Engineering team is looking for a contract Analytics Engineer to join our team. We own and curate central data models, data resources, and metrics that are critical to our business.
• In this role you will help scale and maintain some of our teams most foundational data assets, including our data models associated with detecting, labeling, and remediating risky behavior.
• You will design, build and own critical business metrics.
• You will partner closely with Data Engineers, Data Scientists and Analysts to make sure our data foundation is accurate, high quality, and adapting to our ever-evolving product needs.
• You will be expected to gain expertise with the broad range of surfaces that Trust touches, and then utilize that expertise in pursuit of high-quality, holistic data.
• 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 empower downstream data consumers.
• As an 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
• 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
• Define and share best practices on metric, dimension, and data model development for analytics use
• Build and improve data tooling in partnership with Data Platform teams

Required Qualifications:

• Passion for high data quality and scaling data science work
• 8 years of relevant industry experience
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
• Experience in schema design and dimensional data modeling
• Experience in at least one programming language for data analysis (e.g. Python, R)
• 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