Sr. Marketing Analyst
New
N
NicheEducation Technology
We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV.Full-TimeSenior
Salary$93,760 - $117,200, plus participation in our Annual Bonus and Stock Option Program.
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLSalesforceSnowflakeTableaudbtLookerData analytics
Requirements
- Bachelor's degree in Business, Data Science, Statistics, Economics, Marketing, or related field.
- 5+ years of experience in marketing, growth, or data analytics.
- Senior proficiency in SQL with the ability to troubleshoot complex queries.
- Experience with consumer acquisition data, web analytics (GA4), and paid media platforms.
- Direct experience with B2B marketing and pipeline analytics, lead lifecycles, and multi-touch attribution.
- Experience with CRM, marketing automation, and attribution platforms like Salesforce and Marketo Measure.
- Strong proficiency in data visualization platforms like Streamlit, Tableau, or Looker.
- Working knowledge of a modern data stack including Snowflake, dbt, and version control.
- Experience in designing and reading out A/B and growth tests.
- Comfort operating as a senior individual contributor, influencing without authority, and mentoring peers.
- Genuine practitioner of AI-assisted analytics with experience validating AI outputs.
Responsibilities
- Build the measurement foundation for B2B marketing to schools and districts, including defining metrics and reporting methodology.
- Manage the B2B attribution model in Marketo Measure and monitor data flow between Marketo, Salesforce, and Snowflake.
- Own end-to-end registration and acquisition measurement for B2C, including funnel performance and paid acquisition efficiency.
- Partner with Growth Marketing to size opportunities, design A/B growth tests, and troubleshoot tracking.
- Develop organic search analytics to quantify performance across profiles, rankings, and entity search.
- Model analytical rigor using reproducible SQL, documented methodology, and validated results.
- Collaborate with Data Engineering to contribute to dbt models and the self-serve semantic layer.
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