Senior Data Analyst (Growth Marketing)

Quince; Iowa; On-site; USD 90,000 - 130,000; Full time

Job summary

Quince is seeking a Senior Data Analyst, Growth Marketing to own marketing analytics and measurement frameworks across growth channels. You will partner with marketing leadership to surface insights, run experiments, and build scalable analytics tools for an expanding team.

You will design attribution models, execute incrementality tests, and build dashboards to track performance while ensuring data quality and timely insights for strategic decisions.

Qualifications

• 5+ years in data analytics or data science, with a focus on growth marketing or performance marketing.
• Experience with marketing mix modeling (MMM).
• Familiarity with major media platforms and their measurement ecosystems; strong storytelling with data.

Responsibilities

• Own marketing attribution modeling and measurement frameworks across growth channels (search, social, etc.).
• Design, execute, and analyze incrementality tests to measure causal impact.
• Build and maintain daily, weekly, and monthly dashboards for growth marketing and leadership; ensure data quality and automated monitoring.
• Automate insights generation and speed decision-making.
• Translate data into actionable channel and budget recommendations and deep-dive analyses to identify growth opportunities.
• Apply statistical and predictive modeling to optimize marketing performance.

Skills

SQL

Python

Marketing attribution

Incrementality tests

AB testing

Data visualization

Statistical modeling

Communications

Education

Bachelor9s degree in a quantitative discipline

Tools

SQL

Python

Job description

• We are seeking a Senior Data Analyst, Growth Marketing to join our growing team. This role sits at the center of how Quince decides where to invest to acquire customers. You will own marketing analytics across growth channels and build the measurement frameworks, including attribution, incrementality, and channel performance, that show what is driving acquisition and where to invest next. You will partner closely with marketing leadership to surface insights, run experiments, and build scalable analytics tools as the team expands. Over time, you will become the go-to expert on growth data across the Quince platform
• In this role, you will help the team make faster, smarter investment decisions by turning channel data into clear, trusted answers about what is working and where to put the next dollar
• Own marketing attribution modeling and measurement frameworks across growth channels (search, social, etc.)
• Design, execute, and analyze incrementality tests (A/B tests) to measure causal impact
• Build and maintain daily, weekly, and monthly performance dashboards for the growth marketing team and Quince leadership; ensure data quality and reporting accuracy through automated monitoring
• Automate insights generation and increase speed of decision making
• Partner with marketing leadership to translate data into actionable channel and budget recommendations, including deep dive analysis to uncover growth opportunities and performance drivers
• Apply statistical and predictive modeling techniques to optimize marketing performance

Hands-on experience building marketing attribution models and designing incrementality tests 5+ years relevant experience in data analytics or data science, preferably with a focus on growth marketing, ecommerce, or performance marketing Experience with marketing mix modeling (MMM) Strong proficiency with AI tools to increase productivity and surface data and insights Experience with app measurement and mobile attribution Strong personal work ethic, including personal initiative and ownership Familiarity with major media platforms and their measurement ecosystems (e.g. Meta, Google, TikTok) Proven track record of independently scoping and delivering complex analyses with measurable business impact Bachelor’s degree in a quantitative discipline (e.g. Economics, Mathematics, Statistics, Engineering, Physics) Ability to prioritize and deliver across multiple threads of work in a fast paced environment Excellent written and oral communication, including the ability to communicate across business areas and with leadership Strong proficiency in SQL; proficiency in Python for data manipulation, modeling and analysis