Senior Analytics Engineer

Summary

Join Lob's Data team as a Senior Analytics Engineer to develop data pipelines, build data models, and empower data-driven decisions. Collaborate with cross-functional teams (Product, Engineering, Sales, Finance, Marketing, Operations) to identify data needs and create solutions. Your expertise will shape Lob's analytics strategy, offering significant ownership and growth opportunities in a fast-paced startup. Partner with stakeholders to solve problems, create insights, and build durable data solutions. Champion data governance, security, and privacy. Mentor fellow engineers and data team members.

Requirements

• 5+ years of Analytics Engineering experience: ETL/ELT, OLAP modeling, data visualization, and data governance
• 5+ years of SQL experience: at least one big data warehouse system such as Redshift, Snowflake, or BigQuery
• 3+ years of experience operating live production systems using dbt and Python
• 3+ years of BI Software experience: at least one analytics platform such as Looker, Power BI, or Tableau
• Empathy and effective communication skills: You can explain complex analytical issues to both technical and non-technical audiences
• Strong interpretive skills: You can deconstruct complex source data to compose curated models that can be explored by stakeholders
• Product mindset: You build data systems that will be used to generate insights for years to come, not just one-off analyses

Responsibilities

• Partner with stakeholders to identify problems, create insights, and develop durable data solutions
• Exemplify analytics engineering best practices, such as modularity, testing, cataloging, and version control
• Foster a curiosity mindset and guide other teams as they identify ways to improve the quality of the metrics they produce and analyze
• Champion data governance, security, privacy, and retention policies to protect end users, customers, and Lob
• Support and mentor fellow engineers and data team members through coffee chats, code review, and pair programming

Preferred Qualifications

• A four-year degree or equivalent real world experience in an analytical discipline
• Domain knowledge in marketing, logistics, or another relevant field
• Software Engineering skills such as version control, cloud infrastructure, containerization, and testing frameworks
• Practical project management skills and a track record of working together with cross-functional teams to bring projects from inception to completion
• Previous experience developing in orchestration engines such as Airflow, Dagster, and Prefect
• Previous experience working with NoSQL systems such as DynamoDB and Elasticsearch
• Previous experience analyzing near-real-time data streams

Benefits

Remote work, flexible hours