Addition - Senior Data Analyst
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Requirements
• 3–5 years of experience in a data analyst role within a fast-paced, analytical environment--preferably a high-growth startup • Deep understanding of business dynamics and comfort working cross-functionally to uncover insights that drive strategic decisions. • Strong SQL skills and experience with modern BI tools • Comfortable working without clean schemas or a well-defined metrics layer • Strong analytical and problem-solving skills, with a proven ability to translate ambiguous questions into clear, data-driven narratives. • Self-starter who thrives in a dynamic, high-accountability environment and can work autonomously while collaborating effectively with diverse teams. • Experience designing, maintaining, and optimizing data models, dashboards, and reporting pipelines. • Excellent communication skills, capable of distilling complex data into actionable insights for technical and non-technical audiences alike. • Passionate about our mission to make personalized financial expertise more inclusive and accessible. • Experience with product analytics and event-based data (Segment, Amplitude, Mixpanel, etc.) • Familiarity with SaaS or fintech metrics: engagement, activation, retention, NRR • Python or R for analytical scripting • Comfort with AI tools in analysis workflows • Interest or experience in data science (modeling, experimentation, statistical analysis). This is not the job today, but the role has a path there.
Responsibilities
• Stand up dashboards that replace legacy spreadsheet, starting with the metrics leadership needs to run the business • Surface conversion patterns, lead quality signals, and pipeline insights for the sales team • Support executive decision-making with clear, data-backed recommendations and scenario modeling. • Collaborate with engineers to enhance data infrastructure and advocate for best practices in data management. • Help foster a data-driven culture across the organization through training, documentation, and knowledge sharing. • Own the rhythm of recurring reporting and business reviews • Handle ad hoc analysis for leadership. Urgent, time-sensitive questions are part of the job, and you will help build the system for managing that tension against planned work. • As the data function matures, there is room to grow into product analytics, experimentation, and data science. We want someone who can scale with us.
Benefits
• 401(k) & Employer Match • Work from anywhere • Generous parental leave • Unlimited vacation • Company offsites • Unlimited access to financial professionals • $120,000 - $155,000 a year • Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. The salary range reflects the base salary only. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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