Business Intelligence Analyst

About Us:
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 Beauty with a Purpose: for every product purchased, one is donated 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, sulfates, or toxins. All of our high-performance cosmetics are developed at Thrive Lab in Seattle—we control every step of the product development process.

Job Responsibilities:
  • Responsible for doing anything and everything to contribute to our team's success. We are a team and often work outside of our traditional job descriptions. There is no such thing as "that's not my job" at Thrive Causemetics. 
  • Report to Head of Growth Marketing to monitor overall performance, drive sales growth, analyze data, and create the demand forecast
  • Build and maintain data warehouse
  • Oversee the deployment of data to the data warehouse
  • Review and validate customer data as it is collected
  • Review customer files to ensure integrity of data collection and utilization
  • Develop policies and procedures for the collection and analysis of data
  • Create or discover new data procurement and processing programs
  • Cooperate with our IT department to deploy software and hardware upgrades that make it possible for us to leverage big data use cases
  • Convert research/analyses/findings into insights and recommendations that are specific and actionable for various internal groups as well as executive leadership.
  • Research market conditions in specific areas, and analyze customer preferences to determine potential sales of new products or line extensions.
  • Gather data on competitors and past sales to analyze prices and methods of marketing and distribution.
  • Review historical sales trends, research demand drivers, prepare forecast data, develop monthly statistical forecast models, incorporate judgmental and management input and evaluate forecast results.
  • Communicate and explain statistical models internally and externally as needed.
  • Capture and report forecast accuracy, drive forecast improvement through accuracy analysis.
  • Conduct current and future forecasting analysis, ensuring forecasting processes and methods are followed.
  • Assemble and analyze all data pertinent to creating the demand forecast (historical sales, market trends, seasonality, promotions, and inventory levels).
  • Coordinate cross-functional research activities to reconcile significant variances and refine the forecast model to reflect updated organizational assumptions.
  • Utilize a collaborative and consensus approach to finalize the operational demand forecast.

Qualifications:
  • Bachelor’s degree in Marketing, Business, Mathematics, Statistics or a related field
  • 4+ years of advanced data analytics and reporting experience, including Google Analytics
  • Proficient in SQL, python,  and familiarity with Jupyter notebooks
  • Ability to analyze, process and transform information for easier consumption and actionable plans
  • Successful track record of building predictive and LTV models with high levels of statistical confidence(+95%)
  • Excellent verbal and written communication skills
  • Friendly, collaborative and able to work cross-functionally with internal teams 
  • Willingness to complete other tasks, as assigned.
  • Proficient in Google email and documents required
  • US citizenship or permanent residency required

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