Business Analyst

at  Face Reality Skincare

ABOUT FACE REALITY

Face Reality Skincare was created with one goal: to give people clear skin and confidence. With over 50 million people suffering from the physical and emotional toll of acne, we made it our mission to develop an effective way to achieve clear skin through adaptive, expert guidance by trained estheticians and premium formulas that use only tested, safe ingredients. We are dedicated to giving not just real results but celebrating people and their skin at every part of their journey. Face Reality is experiencing very high, multi-year growth, and expects to continue this growth for years to come. We’re seeking outstanding people who can help contribute to and lead this growth.

THE QUALIFICATIONS:

• Bachelor’s degree in a relevant field
• 5+ years of professional experience in data analytics, including proficiency with analytical software and business intelligence tools
• Proven experience creating reports and dashboards using visualization tools, preferably PowerBI
• Proficiency in Excel, including advanced functions such as SUMIFS, VLOOKUP, XLOOKUP, and creating Pivot Tables for data analysis and reporting
• Strong SQL skills
• The ability to learn other analytical tools as needed
• Practices outstanding attention to detail
• Drives for results and is results oriented
• Ability to work in a fast-paced environment and the ability to handle various tasks simultaneously
• Skincare/Beauty experience a plus

• Perform quantitative analysis using various tools, platforms, internal and external data sources, including revenues, industry, and behavioral data
• Develop and create rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
• Develop dashboards, reports, and customized analyses using SQL, Excel and PowerBI
• KPI metric development and maintenance
• Monitor and report trends regarding all KPIs and success metrics
• Collaborate with the Technical Operations Team on the strategic development of the data warehouse identifying and revising reporting requirements
• Successfully communicate actionable findings and implications
• Identify, analyze, and interpret trends in complex data sets
• Set up cohort analysis to support exploration of customer activation trends and life cycle
• Partner with cross-functional teams to assess and prioritize business and analytical needs. Clearly articulate data-backed answers to key questions
• Identify, define, and implement new data-driven strategies and processes for the organization
• Identify and gather relevant data, analysis of that data, and then insights that guide recommendations
• Develop and maintain a process for continuously monitoring and improving data health and integrity
• Assist in training end-users on newly created dashboards and reports