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Thrive Causemetics
is hiring
Senior Data Analyst
About Our Company
We’re Changing the Beauty Industry for Good.
Thrive Causemetics was born out of a friendship. Makeup artist and product developer, Karissa Bodnar, lost her dear friend Kristy to cancer at just 24 years old. Kristy’s compassionate and vivacious spirit inspired Karissa to establish Thrive Causemetics, a beauty brand and philosophy that goes beyond skin deep by empowering women.
Thrive Causemetics is Bigger Than Beauty™️: For every product you purchase, we donate to help a woman thrive. We believe changing the world starts with a single ingredient, and that’s why we create vegan, 100% cruelty-free formulas containing proven ingredients without the use of parabens or sulfates. All of our high-performance cosmetics are developed at Thrive Causemetics Lab—we control every step of the product development process, and a large part of it involves you.
Job Description & Responsibilities
Who We Are Looking For
Thrive Causemetics is searching for a motivated and analytical Senior Data Analyst to join our team. This role will blend data analysis and business intelligence to drive actionable insights across marketing, customer success, customer retention, and product analysis. We need someone with strong analytical chops, expertise in Python, and a passion for empowering others through data.
What You Will Be Doing:
Problem-Solving Across Domains: Tackle unique challenges in marketing, customer success, and beyond with creative and data-driven solutions.
Customer Insights for Strategy: Use customer data to refine marketing strategies, improve e-commerce performance, and elevate brand campaigns.
Dashboard Development: Create and maintain dashboards that combine data visualizations and tabular insights, delivering real-time, accessible insights across departments.
Ad Performance Optimization: Apply data science strategies—such as testing, attribution modeling, and marketing mix modeling (MMM)—to analyze marketing data and enhance the effectiveness of paid media campaigns.
Process Improvement: Evaluate and enhance data management processes by identifying opportunities for automation and streamlining workflows.
Data Translation: Simplify complex data into digestible insights tailored to non-technical stakeholders.
Ad Hoc Support: Respond to data requests and perform targeted queries to meet evolving business needs.
Requirements
What Will Make You Stand Out:
Bachelor’s degree (or higher) in Mathematics, Statistics, Economics, Computer Science, or a related field.
Expertise in Python for data analytics, including libraries like pandas, sklearn, matplotlib, seaborn, or plotly.
Experience with data visualization platforms (e.g., Tableau, Looker).
A positive, solutions-oriented attitude with a willingness to embrace challenges and contribute to a collaborative team culture.
Strong critical thinking and communication skills, with the ability to bridge the gap between technical insights and business needs.
What we offer
The base pay range for this role is $100,000 - $115,000, with the following factors determining the base pay at offer: skills, qualifications, and experience. This range provides the opportunity to progress as you grow and develop within a role. Additionally, this role is also eligible for an annual discretionary bonus based on company and individual performance. Thrive Causemetics provides a competitive benefits package, including but not limited to: comprehensive medical, dental and vision plans, a 401(k) plan with employer matching, various paid time off programs, employee discount/perks, life insurance, disability insurance, and employee assistance programs.
