Senior Analytics Engineer

United States

Lob

Lob, the only automated direct mail platform that transforms your direct mail into intelligent mail that is scalable, personalized, and measurable. Book a demo!

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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. 

As a proud Pledge 1% company, we’re committed to leveraging our product, partnerships, and people to drive positive social impact through Lob.org, and are on a mission to make direct mail more sustainable.

Senior Analytics Engineer

As a member of our Data team, you will develop data pipelines and build data models that enable the entire company to discover actionable insights and make rapid data-driven decisions. You will work with your colleagues in Product and Engineering, as well as stakeholders across teams such as Sales, Finance, Marketing, and Operations to identify data needs and develop solutions that help answer business questions.

Your expertise will be necessary to plot the course of Analytics at Lob. We are a small team and every engineer’s influence is felt. 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, you’ll…

  • 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.

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.
  • 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.
  • 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.

Compensation information

CA/NYC Tier

Base: $172,500 - $202,500

US Tier

Base: $162,500 - $190,000

 

<#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

BuiltIn Best Midsize Companies to Work For 2022
#86 on Y Combinator's Top Private Companies List 2021
BuiltIn Best Midsize Companies to Work For 2021
2020 Inc 5000 List of the Fastest-Growing Private Companies
2019 Timmy Awards - Best Tech Workplace for Diversity, Community Favorite in the Bay Area
Deloitte’s 2019 Technology Fast 500

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Tags: Airflow APIs Big Data BigQuery Dagster Data governance Data pipelines Data visualization Data warehouse dbt DynamoDB Elasticsearch ELT Engineering ETL Finance Looker NoSQL OLAP Pipelines Power BI Privacy Python Redshift Security Snowflake SQL Tableau Testing

Perks/benefits: Career development Competitive pay Equity / stock options Startup environment

Region: North America
Country: United States

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