• Lead analytics engineering strategy and execution, owning the design and evolution of core data models using modern practices — Data Vault, dimensional modeling, dbt on Snowflake — with a clear roadmap toward a Databricks lakehouse architecture. • Own the company-wide semantic layer and metrics store, ensuring Bookings, ARR, NDRR, and other critical business metrics have a single, version-controlled, trusted definition consumable by every downstream tool and AI agent. • Drive Finance Analytics, including ownership of Bookings, ARR, NDRR, segment and territory reporting, and month-end close pipelines, partnering closely with Finance and Revenue Operations. • Set the standard for data governance and data quality, including discoverability, lineage, access controls, and data contracts between upstream producers and downstream consumers — leveraging Atlan, Unity Catalog, and Monte Carlo. • Own data egress and reverse-ETL strategy, governing pipelines from the data warehouse to downstream platforms including Salesforce, Marketo, Gainsight, Outreach, Thoughtspot, Tableau, and Amplitude. • Shape our AI data strategy, ensuring data assets are structured, documented, and governed to serve as reliable foundations for AI agents, LLM-based analytics, and intelligent product features — while driving data-as-a-product principles and platform cost discipline. • Lead cross-functional strategic programs including Quote-to-Cash modernization, unified customer data modeling, and the Snowflake-to-Databricks migration, acting as a key decision-maker across multi-quarter initiatives. • Develop cross-team relationships across functional leadership and BI partners to ensure we are meeting existing analytics needs and are well-positioned to meet the needs of the future. • Build, develop, and lead a high-performing team, managing vendor and partner relationships, and evolving team capabilities to meet the demands of a rapidly maturing data platform.

Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we’re building a team to shape the future of direct mail. Senior Analytics Engineer As a member of the 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 colleagues in Product and Engineering, as well as stakeholders across teams such as Sales, Finance, Marketing, and Operations to identify data needs and develop durable solutions that help answer business questions. As the Senior Analytics Engineer, you’ll… - Partner with stakeholders to identify problems, create insights, and develop durable data solutions. - Build robust data pipelines to curate analytical data from internal and external systems. - Curate the semantic data layer to bridge raw tables and business context and enable AI use cases. - Develop dashboards and alerting systems that track and monitor business performance, with a focus on clear and insightful data visualizations. - 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. What will you bring to this role… - 5+ years of Analytics Engineering experience, including a background in ELT frameworks, 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. Snowflake preferred. - 3+ years of experience operating live production systems using dbt and Python. dbt Developer certification is a plus. - 3+ years of BI Tool experience: at least one analytics platform such as Omni, Looker, or Tableau. Omni preferred. - 1+ years of experience curating semantic data models to enable conversational BI. - Expertise in modern data visualization techniques: Ability to apply best practices to clearly and insightfully communicate data to drive decisions. - Empathy and effective communication skills: Ability to explain complex analytical issues to both technical and non-technical audiences. - Strong interpretive skills: Ability to deconstruct complex source data to compose curated models that can be explored by stakeholders. - Product mindset: Ability to build data systems that will be used to generate insights for years to come, not just one-off analyses. Additional Experience - A four-year degree in an analytical discipline, or equivalent real-world experience is required. - 5+ years of Analytics Engineering experience required. - Domain knowledge in Supply Chain, Finance, B2B SaaS, or a similar relevant field is a plus. Compensation Information The total compensation package for this role is comprised of an annual base salary and RSUs. Annual base salary: $152,500.00 - $170,000.00 <#LI-REMOTE #LI-RW1 “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, MT, 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

Role Description The Analytics Engineer II (multiple positions) at Republic Services, Inc. in Phoenix, Arizona will assist in the design, development, maintenance, and continuous refinement of analytics and reporting solutions. Responsibilities include: - ETL processes, data warehouses, cubes, dashboards, and model deployment. - Staying up-to-date on the latest technology and implementing proof-of-concepts. - Maintaining system and tool documentation. - Troubleshooting pricing optimization algorithms and rules-based pricing recommendations. - Collaborating with internal customers, analysts, developers, data scientists, and database administrators. - Providing underlying data support for business metrics. - Writing ETL scripts using SQL Server Integration Services (SSIS) or similar tools. - Designing and building automated processes leveraging Excel, SQL, and VBA. - Designing dashboards and tools for user interaction with data. - Implementing in-database machine learning solutions using SQL Server and R or Python. - Ensuring security and integrity across all data. - Troubleshooting and debugging issues. - Telecommuting permitted as business needs allow up to 5 days per week. Qualifications - Bachelor’s degree in Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics or related analytical field. - Three years of experience in data analytics, data engineering, or related occupation. - Three years of experience in programming in SQL and R or Python. - Three years of experience in deploying analytics models and tools in a production environment with relational databases. Requirements - Education and experience may be gained concurrently. Benefits - Comprehensive medical benefits coverage, dental plans and vision coverage. - Health care and dependent care spending accounts. - Short- and long-term disability. - Life insurance and accidental death & dismemberment insurance. - Employee and Family Assistance Program (EAP). - Employee discount programs. - Retirement plan with a generous company match. - Employee Stock Purchase Plan (ESPP). - Paid Time Off (PTO).

• Assist in building and maintaining data models, reporting systems, and data automation systems that support key business decisions. • Assist in staging data from multiple sources for integration into models. • Monitors the performance of analytic solutions and reports issues to senior engineers. • Implements quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements. • Develops and maintains documentation of models, user guides, policies, and procedures. • Assists with employee training on newly developed models. • Adhere Data Governance first mindset and ensure that all data is managed in accordance with HIPAA and departmental and corporate guidelines.