
Marketing Data Analyst
Overview
Boldin is a comprehensive financial planning platform that helps people understand their financial picture, make smarter decisions with their money and time, and plan for the future with confidence.
Job Description
At Boldin, we believe financial confidence should be accessible to everyone. Money decisions shape our lives, yet too often people are left without the clarity or tools they need to make informed choices. We exist to change that. With over $20M raised and strong momentum, Boldin is entering a pivotal phase of growth. This is an opportunity to join a mission-driven team and help shape the future.
Responsibilities
- - Track, analyze, and report on various marketing performance metrics, including Customer Acquisition Cost (CAC), New Arrivals, Subscriptions, Cancels, and Churns
- - Develop and maintain the Lifetime Value (LTV) to CAC ratio models to ensure sustainable growth
- - Monitor full-funnel conversion rates, identifying leakage points from awareness to conversion
- - Identify trends and provide actionable insights to marketing and leadership teams to improve campaign efficiency and effectiveness
- - Design and analyze A/B tests (split testing) for landing pages, ad creatives, and email subject lines to scientifically prove what works
- - Perform cohort analysis to understand retention behaviors and predict future revenue
- - Collaborate with the Data and Analytics team to ensure data integrity, maintain reporting dashboards, and support data-driven decision-making across the marketing function
- - Manage the marketing attribution model to correctly assign value to different marketing channels (Paid Search, Social, Organic, Email)
- - Troubleshoot tracking pixel issues and ensure campaign tagging (UTM parameters) is standardized
Required Skills
- - 2–4 years of experience in data analysis, specifically within a marketing or product growth function
- - Strong proficiency in SQL is required for querying databases
- - Experience with data visualization tools (e.g., Tableau, PowerBI, Looker, or Google Data Studio) to create self-service dashboards
- - Advanced Excel/Google Sheets skills (Pivot tables, VLOOKUPs, index/match)
- - Familiarity with Web Analytics tools (e.g., Google Analytics 4)
- - Familiarity with Product Analytics tools (e.g., Amplitude)
- - Understanding of statistical concepts (statistical significance, confidence intervals) relevant to testing
- - Strong 'data storytelling' abilities—the capability to explain complex data findings to non-technical stakeholders clearly and concisely
Benefits
- - Competitive salary
- - Opportunities for professional growth and development
- - Inclusive hiring process
- - Commitment to diversity and inclusion
About the company
Financial confidence comes from more than just savings and investments. Our retirement planner provides you with decision-making strategies for every factor of your financial life.
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