Marketing Analyst (remote)
$93.76k - $117.2kNiche
About Niche 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. 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. The Senior Marketing Analyst is the analytical owner of two connected domains: B2B marketing and pipeline analytics: how marketing-sourced demand becomes qualified leads, opportunities, and closed business. B2C growth and registration analytics: how students and parents find Niche across acquisition channels, register, and convert into engaged users. You will sit in marketing, B2B, SEO, and lifecycle meetings and workflows, develop first-hand awareness of how data is actually being used, where the gaps are, and what's needed before it becomes a problem. You will be a strategic partner to marketing leadership rather than a reporting function: proactively surfacing insights, pairing them with recommendations and clear next steps, and staying with the work through the decision it informs. B2B Marketing & Pipeine 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 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 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 Bachelor's degree in Business Administration, Data Science, Statistics, Economics, Marketing, or a related field. 5+ years of experience in marketing analytics, growth analytics, data analytics, or a closely related data function.
- Demonstrated experience owning marketing measurement end to end, from tracking implementation through to reporting and recommendation.
- Hands-on experience with consumer acquisition data: web analytics and paid media platforms (GA4, Meta, Google Ads, or equivalent), including campaign and channel attribution and its limitations.
- Direct experience with B2B marketing and pipeline analytics: lead and MQL lifecycle, multi-touch attribution, campaign and channel contribution to pipeline, and conversion through to closed business.
- Experience working with marketing automation, CRM, and attribution data (e.g., Marketo, Marketo Measure, Salesforce) and diagnosing problems in how they connect.
- Proven ability to translate complex analytical findings into clear, actionable insight for non-technical stakeholders, and to say plainly when the data won't support the question.
- Experience in a fast-paced, cross-functional environment with shifting priorities, and resilience in the face of ambiguity and change.
- Senior proficiency in SQL; comfortable writing, reviewing, and troubleshooting complex queries independently.
- Strong proficiency in data visualization and dashboarding platforms such as Streamlit, Tableau, Looker, or similar.
- Working knowledge of a modern data stack: Experience with Python or R.
$125.5k - $147.6k
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$67.18k - $78.62k
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