Senior Data Analyst
- Market p25–p75
- $135k–$200k
- Opened · 30d
- +0
- Closed · 30d
- −0
- All analytics / data science
- 7,750open
About us
At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.
The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.
Our values
Win as One. Delight Customers. Deliver Great Outcomes.
About the role
As a Senior Data Analyst, you will design, build, and own the analytics that ShipStation Global’s business teams use to make decisions. This role sits between the data platform built by data engineering and the business and is responsible for performing data discovery, defining and governing metrics, and analysis activities to identify specific information required to support client decisions and then present these results in a meaningful and intuitive format, using a variety of BI tools and techniques.
The ideal candidate is highly analytical, genuinely curious about how the business operates, and comfortable working through ambiguity — able to sit down with a stakeholder, ask the questions that surface the real decision behind the request, define the problem, and then engineer a durable solution. Equally important is the judgment to push back when what was asked for is not what is actually needed, and the communication skills to explain why.
This position is hybrid (3 days per week in office) and is located in Austin or Dallas, Texas.
About the team
The Senior Data Analyst designs, builds, and owns the analytics that ShipStation Global’s business teams use to make decisions. This role sits between the data platform built by data engineering and the business and is responsible for performing data discovery, defining and governing metrics, and analysis activities to identify specific information required to support client decisions and then present these results in a meaningful and intuitive format, using a variety of BI tools and techniques.
The ideal candidate is highly analytical, genuinely curious about how the business operates, and comfortable working through ambiguity — able to sit down with a stakeholder, ask the questions that surface the real decision behind the request, define the problem, and then engineer a durable solution. Equally important is the judgment to push back when what was asked for is not what is actually needed, and the communication skills to explain why.
What will you be doing?
- Partner directly with business stakeholders to turn ambiguous requests into well-defined analytics deliverables.
- Lead discovery conversations with Finance, Accounting, Sales, Marketing, and Product to uncover the underlying decision or business problem behind each request.
- Translate open-ended asks into documented requirements: metric definitions, grain, dimensionality, filters, refresh cadence, and clear acceptance criteria.
- Challenge assumptions and propose better framing when the requested output would not actually answer the question being asked.
- Design, build, and maintain analytics data models.
- Develop modular, tested, version-controlled transformation models in dbt on BigQuery — and on Databricks as the ShipStation Global platform expands — following layered staging, intermediate, and mart patterns.
- Write advanced SQL: window functions, incremental logic, complex joins, and query tuning through partitioning, clustering, and cost-aware design.
- Implement data quality controls such as dbt tests, source freshness checks, and anomaly monitoring so that breakages are caught before stakeholders find them.
- Work in Git with pull-request review and CI/CD, treating analytics code as production software.
- Own the semantic layer and BI delivery.