Senior Analytics Engineer

Lob; United States; Remote; USD 152,000 - 172,000; Full time

Job summary

Join a leading technology firm as the Senior Analytics Engineer for Supply Chain, where you'll optimize logistics through actionable data insights. This key role involves crafting data pipelines and dashboards, providing ownership and the chance to shape the analytics landscape in a fast-paced startup environment. Strong communication and analytic skills paired with a solid understanding of supply chain data will ensure success in this position.

Qualifications

• 5+ years of Analytics Engineering experience with ETL/ELT, OLAP modeling.
• 5+ years of SQL experience with a major data warehouse.
• 3+ years using dbt, Python, and BI tools.

Responsibilities

• Partner with Supply Chain to develop data solutions.
• Build data pipelines from internal systems and third-party APIs.
• Develop AI-driven dashboards to track supply chain performance.

Skills

Analytics Engineering

SQL

Data Visualization

Communication

Empathy

Interpretive Skills

Education

Four-year degree in an analytical discipline

Tools

Looker

Power BI

Tableau

dbt

Python

Redshift

Snowflake

BigQuery

Job description

Lob was built by technical co-founders with a vision to make the world programmable.

We offer two flagship APIs (print & mail and address verification) that enable companies to send postal mail as effortlessly as sending emails. Lob is venture-backed by some of the most reputable investors in tech, and we are building our team to shape the future of our company and meet the demands of a quickly growing customer base and dynamic product offerings.

Senior Analytics Engineer - Supply Chain

The Lob Data Team develops data pipelines and builds data models that enable the entire company to discover actionable insights and make rapid data-driven decisions. As the dedicated Analytics Engineer for the Supply Chain team, you will work on initiatives to optimize delivery speed, network saturation, and manufacturing costs.
You will work with your colleagues in Product and Engineering, as well as stakeholders on the Supply Chain team to identify data needs and develop solutions that help answer operational questions. This is a great opportunity for someone who wants to have a large sense of ownership, grow extraordinarily in their career, and develop cross-functional skills to maximize impact in a fast-moving startup.

As the Senior Analytics Engineer for Logistics, you’ll…

• Partner with stakeholders in Supply Chain to identify problems, create insights, and develop durable data solutions.
• Become a Subject Matter Expert in postal logistics and supply chain.
• Build robust data pipelines to curate operational data from internal systems, print partners, logistics carriers, and third-party APIs.
• Develop AI-based dashboards and alerting systems that track and monitor performance across the supply chain.
• Exemplify analytics engineering best practices, such as modularity, testing, cataloging, and version control.
• Champion data governance, security, privacy, and retention policies to protect end users, customers, and Lob.

• Foster a curiosity mindset and guide other teams as they identify ways to improve the quality of the metrics they produce and analyze.
• Support and mentor fellow engineers and data team members through coffee chats, code review, and pair programming.

What will you bring to this role…

• 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.
• 2+ years of Supply Chain domain experience, including postal data, carrier tracking, or direct mail logistics.
• 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.

At Lob, we are looking to #LevelUp and #EmpowerDiversity, we invite you to apply if you possess even some of these:

• A four-year degree or equivalent real world experience in an analytical discipline.
• Familiarity with supply chain data types such as inventory, routing, carrier scan events, and SLAs

• Practical project management skills and a track record of working together with cross-functional teams to bring projects from inception to completion.

• Software Engineering skills such as version control, cloud infrastructure, containerization, and testing frameworks.
• 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.

Compensation information

Base: $152,500 - $171,250 + RSU

<#LI-REMOTE #LI-GD1

“Lob’s salary ranges are based on market data, relative to our size, industry and stage of growth. Salary is one part of total compensation, which also includes equity, perks and competitive benefits. Salary decisions are based on many factors including geographic location, qualifications for the role, skillset, proficiency and experience level. Lob reasonably expects to pay candidates who are offered roles within the provided salary ranges.”

We offer remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WA,unless specified otherwise in the job description above.

If you are looking for a progressive, fun-spirited, and mentally stimulating environment, come join us at Lob!

Our Commitment to Diversity

Lob is an equal opportunity employer and values diversity of backgrounds and perspectives to cultivate an environment of understanding to have greater impact on our business and customers. We encourage under-represented groups to apply and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

Recent awards

#88 on BuiltIn's Best Remote Midsize Companies to Work For in 2025
BuiltIn Best Remote Midsize Companies to Work For in 2024
BuiltIn Best Midsize Companies to Work For 2022