Data Analyst

Overview

Translate complex datasets into actionable insights for decision-makers, owning workstreams end to end and connecting data solutions to client business needs.

What you'll do

• Own tasks from end to end, managing timelines proactively and flagging technical or client-facing risks early to project leadership.
• Analyze root causes of project-level problems and propose effective, data-driven solutions.
• Clean, validate, and interpret data.
• Work collaboratively with Product Managers, Engineers, and Marketers to define technical solutions that directly address client business needs.
• Apply AI and agentic capabilities to client projects or internal challenges, contributing to AI-assisted delivery practices across the craft.
• Independently research solutions, explore new features within standard tools, and learn new concepts.
• Present clear ideas to internal stakeholders and clients, maintaining flexibility as project scopes evolve.

What you'll need

• 3 to 5 years of hands-on experience in data management, data analysis, or a similar role.
• Experience collecting, cleaning, and validating data from primary and secondary sources.
• High proficiency in writing SQL queries to extract and transform data.
• Strong experience building and maintaining dashboards using data visualization software (e.g., Tableau, Power BI, Qlik).
• Familiarity with web analytics platforms such as GA4.
• Familiarity with the technical designs and aspects of data models, pipelines, and analytical architectures such as data normalization, medallion architecture, and data lineage.
• Familiarity with agentic AI workflows and tools, with an eagerness to implement AI-assisted delivery practices to accelerate project outcomes.
• Ability to independently lead small analytics projects and confidently connect technical data solutions directly to broader business objectives.

Details

• Location: US Remote.
• Based on a 40-hour workweek.