Data Analyst, Marketing
Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.
About the job
Responsibilities
- Build a holistic view of marketing spend, channel performance, and attribution.
- Develop audience and segmentation mechanisms to optimize channel and campaign performance.
- Explore, validate, and build datasets supporting business intelligence and marketing strategies.
- Iterate on channel attribution logic and methodologies.
- Design and measure incrementality tests and other experiments using actionable metrics.
- Standardize metrics and build consensus with marketing and other stakeholders.
- Establish Looker as a primary reporting and analytics tool, including modular data models.
- Drive data-modeling requirements for analytics and data engineering teams.
- Champion segmentation, predictive modeling, and other advanced analytical techniques.
- Quantify team goals and KPIs/OKRs, generate actionable insights, and identify opportunities.
- Promote analytics best practices and train business partners on BI tools.
Requirements
- Bachelor's degree in Analytics, Statistics, Economics, Computer Science, or a related quantitative field.
- 3+ years of experience as a data analyst, ideally in B2C, financial services, or technology.
- 1+ year of experience in acquisition or growth marketing.
- Strong SQL skills and experience with relational databases such as BigQuery, Snowflake, or Redshift.
- Proficiency with data visualization tools such as Looker or Tableau.
- Excellent analytical, problem-solving, communication, and business-analysis skills.
- Experience with A/B testing and experimental design.
- Working experience with Python for data analysis.
Nice to Have
- Experience modeling data with dbt.
- Experience in fintech, financial services, or banking.
Compensation and Benefits
- Base salary: $130,000-$175,000 annually.
- Equity in the form of stock options.
- 401(k) plan and discretionary performance bonus program.
- Medical, dental, and vision premiums covered at 100% for employees and dependents.
- Flexible time off, paid holidays, parental leave, commuter benefits, fitness benefits, healthcare and dependent-care FSA, employee assistance programs, mental health resources, and healthcare advocacy.
Skills
SQL, BigQuery, Snowflake, Amazon Redshift, Looker, Tableau, Python, A/B Testing, Experimental Design, Data Modeling, dbt, Predictive Modeling, Audience Segmentation, Marketing Attribution, Relational Databases
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