Data Analyst (Mid-Level)
Role Summary
The Data Analyst is an individual contributor who has moved beyond supervised execution and is developing the independence, analytical depth, and stakeholder skills needed to progress to Senior level. They own smaller analytical domains end-to-end, contribute meaningfully to team standards, and begin to proactively surface insights rather than waiting to be directed.
What You'll Do
Analytics & Insight Delivery
Deliver analytical work end-to-end for assigned business areas — from scoping and analysis through to presentation and stakeholder follow-through — with minimal re-direction
Support ad-hoc analysis for internal stakeholders including Marketing, Product, Finance, and Account Management, providing interpretive framing alongside data outputs rather than data retrieval alone
Begin to proactively surface trends, anomalies, and data-driven observations to stakeholders, developing the instinct to flag what matters without being asked
Support A/B test experiments under the guidance of the Senior DA — including data preparation, metric tracking, and results summaries — building toward independent experimental design at Senior level
Google Analytics & Data Collection
Support the Senior DA in GA4 reporting, tracking plan validation, and custom dimension and metric implementation
Develop working knowledge of GA-to-warehouse integration and tagging practices in preparation for owning this domain at Senior level
BI Development & Semantic Layer
Design, build, and maintain Looker dashboards and Explores for assigned business areas, owning deliverables with limited rework
Develop LookML including dimensions, measures, derived tables, and Explore configurations — ensuring all work is documented and consistent with team standards
Contribute to the shared semantic layer by flagging metric definition inconsistencies and proposing resolutions in collaboration with the Senior DA and Analytics Engineering team
Expand self-service analytics for non-technical stakeholders, enabling them to answer their own questions and reducing ad-hoc request volume to the team
Maintain accuracy and c