Lead Data Analyst (Marketing Analytics)

Job summary

This role focuses on leveraging data to enhance marketing effectiveness and drive growth within a high-impact analytics team. The Lead Data Analyst will utilize advanced analytical techniques to provide insights that inform marketing strategies and optimize spending.

Qualifications

• Proficient in SQL and R or Python with a strong grasp of regression models and statistical significance.
• Experience in Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and incrementality testing.
• Strong collaboration skills with the ability to influence stakeholders and guide data-informed decisions.
• Excellent communication skills for presenting complex data insights to non-technical audiences.
• Proven experience with BI tools like Looker (LookML) to create accessible data visualizations.

Responsibilities

• Develop and own methodologies for measuring marketing effectiveness through sophisticated analytics.
• Conduct complex analyses such as cohort analysis and predictive modeling to identify growth opportunities.
• Collaborate with marketing teams to design and analyze A/B and multivariate tests.
• Support the development of analytics infrastructure and integrate solutions into the data stack.
• Create intuitive dashboards that provide actionable insights for various stakeholders.
• Analyze the sales funnel to identify bottlenecks and opportunities for revenue expansion.
• Work with data engineering teams to ensure the reliability of marketing data pipelines.

Skills

• Strong technical skills in data analysis and statistical modeling.
• Strategic thinking in marketing analytics with a focus on understanding the rationale behind spending decisions.
• Ability to communicate complex concepts clearly and effectively.
• Commitment to data quality and experience with modern data stacks.

Education

• Relevant degree in a quantitative field or equivalent experience in data analysis and marketing.

Tools

• SQL, R/Python, Looker (LookML), BigQuery, dbt, Airflow.