Senior Data Analyst

Addition•New York, NY

1d•$120,000 - $155,000•Remote

About The Position

At Addition Wealth, weâre on a mission to redefine financial health by making personalized financial expertise inclusive and accessible to everyone. Through innovative technology and meaningful partnerships with leading companies and financial institutions, we empower individuals with robust digital tools, a comprehensive knowledge center, and access to top financial professionals to confidently navigate lifeâs financial decisions. Our work not only reduces stress and improves productivity but transforms how people think about and manage their money. Weâre not just another financial wellness platform. We are pioneering a revolution in how individuals make financial decisionsâleveraging technology to create seamless, impactful, and life-changing experiences. At Addition Wealth, youâll have the opportunity to solve complex challenges, push the boundaries of whatâs possible, and create tools that truly make a difference. Our impact has been recognized globally. Backed by top fintech VCs including Barclays, Anthemis, and Nyca, Addition Wealth has been named one of Business Insiderâs 54 Promising Fintech Companies to Watch, honored with UBSâ Female Founder Award 2023, and selected as a World Economic Forum Top Innovator. Weâve also been featured in Bloomberg, TechCrunch, Insider, Forbes, and other leading publications. Together, weâre building something extraordinaryâand weâre just getting started. Addition is growing rapidly, and weâre hiring a Senior Data Analyst. This individual will work closely with the founder and founding team to help identify big opportunities, execute, and will play a key role in the companyâs growth. The right individual is smart, scrappy, and be ready to dive into whatever what needs to be done. As a critical member of our team, you will work directly with the executive team, as well as collaborate across product, design, engineering, and marketing teams to drive reporting and uncover key insights. We are looking for someone who is excited about our mission to make personalized financial expertise inclusive and accessible for all.

Requirements

3â5 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.

Nice To Haves

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.