Senior Analytics Engineer

Position Overview

• Location Type: Not specified
• Employment Type: Not specified
• Job Type: Senior Analytics Engineer
• Salary: Not specified

The Senior Analytics Engineer will help scale our data models and reporting analytics platforms. They have a deep understanding of data analytics concepts and experience working with cross-functional stakeholders. As a Senior Analytics Engineer, they are responsible for ensuring high-quality, accurate data modeling (we use dbt) working to help others on the data team transform raw data into clean, modeled data that is ready for analysis by end users. Additionally, they are expected to be a thought partner and gain trust of senior stakeholders by creating accurate reporting solutions that answer key business questions. This role reports to the Engineering Manager, Data.

Responsibilities

• Ownership of dbt data model - Design, build and optimize data transformations using SQL in our reporting layer.
• Create a consistent reporting layer to enable data analysis in our BI tools, Looker & Hex.
• Develop a deep understanding of the KPIs that drive our business and identify ways of improving overall results across the company.
• Thought partner with stakeholders (product, marketing, merch, finance) and derive insights that enable business decisions.
• Independently build trust with senior stakeholders to establish confidence on key metrics and provide training on proper usage or reports/dashboards.
• Create documentation for technical and nontechnical teams on reporting definitions.
• Build internal data quality measures, tests, and processes to ensure reporting accuracy.
• Key contributor in ideation sessions for defining quarterly analytics tactics.
• Actively engage in the Agile development cycle.

Qualifications

• 6+ years experience in a data/analytics engineering role.
• Advanced knowledge of SQL and Python.
• Experience with reporting analytics and BI tools, preferably DBT and Looker.
• Experience working with cloud data warehouses.
• Familiarity with dimensional modeling database concepts, fact and dim tables.
• Experience working with and cleaning complex unstructured data.
• Ability to present complex information in an easy-to-understand and digestible manner.
• Ability to work cross-functionally with both tech and business functions.
• Comfort with the ambiguity that comes with a fast-paced start-up atmosphere.
• Familiarity with A/B Testing, click stream data, and Google Analytics a plus.
• Undergraduate or graduate degree in Statistics, Math, Data Science, Operations Research or related field a plus.

About the Team

The Paperless Post data team plays a crucial role in our product’s success. We get to dive into advanced data work—from marketing attribution models, growth analytics tactics, and product feature AB testing, to modern data engineering infrastructure and integrations—that solves complex business problems and increases the data functional capabilities of everyone throughout the company. On the reporting side, we help ensure that all teams have the information they need to make informed decisions.