Analyst I

Summary: DAT Freight & Analytics is a leading SaaS technology company specializing in freight and logistics innovation. As an Analyst I, you will work with senior analysts and data engineers to analyze data, support product strategy, and enhance data accessibility across the organization. Responsibilities: - Answer business and product questions using data; pulling and querying datasets, building views, and delivering clear, well-documented findings to non-technical stakeholders - Build and maintain reports and dashboards that help stakeholders track the metrics that matter to them - Partner with senior analysts on larger analytical projects, taking ownership of scoped workstreams - Document your work clearly so findings are reproducible and conclusions are defensible - Participate in requirements gathering with internal stakeholders, helping translate a business question into an analytical approach - Participate in the creation of tracking plans for new product features, working within DAT's instrumentation guidelines - Contribute to the team's shared knowledge base, including data definitions, methodology notes, and reusable query libraries - Communicate task status and blockers proactively, and ask clarifying questions before starting work to ensure accurate delivery Required Qualifications: - Strong attention to detail and a commitment to delivering accurate work - Strong SQL skills. You can independently write and troubleshoot queries to extract, filter, join, and aggregate data - A clear, structured approach to problem-solving: You know how to scope a question before jumping to answers - Good written and verbal communication. You can explain what you found and why it matters to someone who isn't in the data - Intellectual curiosity. You follow up when something looks off and ask the next question when the first answer isn't complete - Ability to manage multiple requests and prioritize effectively in a fast-moving environment Preferred Qualifications: - Familiarity with BI tools (Tableau, Mixpanel, or similar) - Familiarity with Python or R for data manipulation or analysis - A background in statistics, with descriptive methods at minimum and inferential a plus - Exposure to product analytics tools (Google Analytics, Mixpanel, or similar) and concepts such as event tracking or funnel analysis - Experience with experimental methodologies (e.g., A/B testing) and analysis - Experience working with large or complex relational datasets - Prior work in a SaaS, technology, or data-intensive industry Required Skills: SQL, Tableau, Mixpanel, Python, R, Statistics, Google Analytics, A/B testing, Data analysis, Data querying, Data visualization Benefits: Medical, Dental, Vision, Life, and AD&D insurance, Parental Leave, Flexible Vacation Time (FVT), An additional 10 holidays of paid time off per calendar year, 401k matching (immediately vested), Employee Stock Purchase Plan, Short- and Long-term disability sick leave, Flexible Spending Accounts, Health Savings Accounts, Employee Assistance Program, Additional programs - Employee Referral, Internal Recognition, and Wellness, Free TriMet transit pass (Beaverton Office), Competitive salary and benefits package, Work on impactful projects in a cutting-edge environment, Collaborative and supportive team culture, Opportunity to make a real difference in the trucking industry, Employee Resource Groups