Sr. Marketing Analyst

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply.

Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally.

We are looking for an experienced, analytically rigorous, and collaborative Senior Marketing Analyst to own how Niche measures and improves the performance of its marketing engine, on both sides of the marketplace. This is a senior individual contributor role on the Analytics team, embedded day to day with the marketing and growth teams and reporting to the Manager of Operational Analytics.

• Build the measurement foundation for how Niche markets to schools and districts: define which metrics matter, how they are calculated, and where the reporting lives, so the business can see what is actually working
• Bring rigor to questions such as which channels and campaigns produce pipeline that closes, what a marketing-sourced lead is actually worth, and where demand generation investment should go next
• Develop leading-indicator reporting that gives marketing and sales leadership early signal on pipeline health rather than a retrospective read
• Own the B2B attribution model in Marketo Measure, including touchpoint and channel definitions and the data flow between Marketo, Salesforce, and Snowflake.
• Partner with Marketing and Sales to keep campaign tracking and lead and opportunity attribution reliable over time
• Support new business forecasting and pipeline reviews with clear, documented methodology and honest confidence levels

• Own registration and acquisition measurement end to end: registration funnel performance, campaign and channel attribution, and the connection between how a user arrived and what they went on to do on the platform
• Measure paid acquisition efficiency: cost per registration, cost per qualified lead, and how spend translates into users who actually convert. Partner with Growth Marketing on media mix and budget decisions, and build the forecasts behind them
• Serve as the analytical partner to Growth Marketing and Lifecycle: size opportunities, design and read out growth tests, troubleshoot tracking, and maintain the reporting the team runs on day to day
• Build and maintain the marketing dashboards and self-serve views that let growth, lifecycle, and leadership answer their own recurring questions
• Own organic search analytics: measure performance by page type, path, and traffic source (profiles, rankings, entity search), and quantify the impact of product decisions and algorithm updates
• Build the monitoring and daily reporting that surfaces organic traffic shifts before they become surprises, and keep traffic definitions consistent across dashboards and the semantic layer
• Partner with Product and Data Engineering to define the event tracking and data models this measurement depends on

• Model analytical rigor on marketing data: reproducible SQL, documented methodology, validated results, and a clear line between correlation and causation
• Review and pressure-test analyses from across the analytics team and from business partners, and sharpen how findings are framed and communicated
• Act as the subject matter expert on acquisition-funnel data sources and methodology: when analyses from Business or Product Analytics start at the top of the funnel, make sure they start from the right source, the right definition, and a method that will hold
• Mentor analysts informally and share techniques across the analytics team
• Partner with Data Engineering as the voice of the business: write clear measurement requirements, contribute directly to dbt models and the company-wide self-serve semantic layer, and QA what gets shipped
• Champion AI-assisted analytics in your own work and help colleagues adopt it by building and maintaining the skills, workflows, and context that make these tools reliable on Niche's data
• Present findings and recommendations to senior leadership with clear insight and a clear "so…