Senior Data Analyst

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Analytics, Engineering, Statistics, Economics, or a related quantitative field; equivalent hands-on experience will be considered in lieu of a degree.
• 5+ years of experience building business intelligence and analytics solutions on a cloud data platform.
• 3+ years of advanced SQL in a production analytics environment.
• 3+ years of hands-on dbt experience building and maintaining production models.
• 3+ years of dashboard and report development in a modern BI tool; Looker and LookML strongly preferred.
• Demonstrated experience gathering requirements directly from business stakeholders with limited direction or supervision.
• Working experience with Google Cloud Platform, particularly BigQuery.
• Proficiency with Python and with Git-based development workflows.

Benefits

• 401k employer matching program
• 12 paid holidays
• Flex Time Off policy
• Health and Wellness: medical, dental, and vision plans
• Fitness center in the office
• Employee Assistance Program
• Gym discounts
• Education reimbursement
• Employee Referral Program
• Inclusive, casual, and upbeat work environment

Tagged as: Data Analysis