Lead Data Analyst, User Analytics & Insights

Fetch

4h•$151,223 - $170,653•Remote

About The Position

As the Lead Analyst of User Analytics & Insights within our New Markets (Expanded Core) vertical, you will play a pivotal role in shaping strategy through data. Reporting directly to the Director of User Analytics & Insights, you will serve as a thought partner to cross-functional leaders and drive high-impact decision-making. This role requires both technical expertise and strategic storytelling, with ownership of analytics processes that translate insights into actionable strategies that move the business forward. This is a full-time role that can be held from one of our US offices or remotely in the United States.

Requirements

8+ years of experience in analytics, insights, or strategy roles.
Expertise in data visualization and dashboard creation.
Strong proficiency in SQL for data manipulation and analysis.
Experience with data modeling
Proven ability to translate insights into action by driving strategies, initiatives, and measurable outcomes.
Demonstrated success working cross-functionally with multiple stakeholders to influence change and impact business direction.
Skilled at analytics project management and prioritization.
Hands-on A/B testing and experimentation experience.
Experience with machine learning techniques and predictive modeling to identify trends, segment users, and guide strategy.
Strong presentation skills with the ability to translate technical concepts for non-technical audiences.
Comfort using Google Sheets for collaboration and analysis.
Ability to thrive in a fast paced environment.

Nice To Haves

Experience with dbt data modeling
Prior experience blending commercial strategy with data insights.
Experience working with retail analytics

Responsibilities

Act as a strategic thought partner to General Managers, Product, Marketing, and Engineering teams, using insights to drive measurable business impact.
Lead analytics project management, setting priorities and ensuring alignment with business objectives.
Communicate complex technical concepts clearly to non-technical stakeholders, ensuring data-driven decisions always prioritize the customer experience.
Turn insights into action by designing initiatives, influencing roadmaps, and helping teams operationalize data-driven strategies.
Leverage SQL and visualization tools (e.g., Hex, Grafana) to manipulate data and deliver accurate, meaningful analysis.
Build and maintain automated KPI dashboards and monitoring reports to track performance.
Partner with business and engineering teams to design and deploy analytical solutions.
Improve data quality and maintain scalable, well-documented analytics processes for long-term reusability.
Translate analytical findings into clear business narratives and recommended next steps that inspire action.
Own the end-to-end experimentation process, collaborating with product and marketing on test design and execution.
Develop predictive models to uncover user segmentation, identify behavioral insights, and proactively recommend actions that drive growth and engagement.