Curology
San Francisco
501-1,000 employees
At Curology, we provide prescription medications custom-formulated for each patient's skin and shipped directly to their door.
Other Open Roles
Prior Listings
Senior Data Analyst
Senior Data Analyst
This job is no longer open
Curology is creating the next generation of skincare through customized treatment plans and formulas with powerful prescription ingredients for acne and anti-aging. We believe great skin shouldn’t be a luxury, but a fact of life.
Curology is a technology company building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life. To make this possible, we're building tech to power an entire in-house medical ecosystem, covering everything from medical care to provider licensing and pharmacy fulfillment operations.
We are seeking a contagiously curious analytics professional who thrives at the intersection of Product Analytics, Data Science, Product Design, and Growth Marketing. The ideal candidate will have a strong technical, analytical, and product background – with a hunger to optimize product funnels and drive business and user-level insights to guide product strategy.
Additionally, you’ll contribute to our broader data team and company data culture by sharing your learnings, facilitating partnerships with key stakeholders, mentoring junior analysts, and building new capabilities for using data to drive decisions.
In this role, you will
- Use your quantitative analysis and data mining expertise to reveal and communicate user behavior beyond number reporting and focus on understanding how users interact with Curology's set of products and online services.
- Identify and seize opportunities that drive growth: removing barriers for new user onboarding, improving the products recommendation engine, driving monetization/retention, and unlocking the referral k-factor
- Partner with growth product, design, and engineering teams to conduct project discovery/ shaping and execute on the top impact opportunities; Identify and evaluate the success of product work through OKR setting, forecasting, and health checks of key product metrics
- Build effective dashboards/ frameworks to enable the growth team to monitor and check the health of core business KPIs such as CVR, ARPU, LTV, SPS, AOV, Retention.
- Lead the split testing requirements and read-outs, investigating user behavior hypotheses and identifying data abnormalities.
- Manage growth modeling to inform financial forecasting and planning across 2 product groups: Growth, Monetization.
- Communicate performance, experiment results, data outages, and opportunities to a wide range of stakeholders, from growth team members to executives—influence other teams’ thinking and priorities by providing thought-through analyses and trade-offs.
- Demonstrate leadership by proactively executing projects and initiatives with minimal support and guidance, quickly and with accuracy, and coaching and mentoring other Data team members.
You will be successful if you have:
- 5+ years of Analytics Experience, bonus if this includes 2+ years of management experience
- 2+ years experience working collaboratively with product teams: product management, engineering, design, data science, data engineering, etc.
- Strong expertise in manipulating data sets through statistical software and programming languages (ex. SQL, R, SAS, Python, C++, C, Perl, etc.).
- Nice to have: Experience using Python for data wrangling ,visualization and statistical packages
- Experience in different statistical methods for predictive modeling, framing hypothesis, experimentation principles/AB testing to forecast & communicate results for core business and product KPI’s
- 2+ years experience with product optimization work, for example, app/web funnels optimization, referrals & social features, push notifications/ email optimization, retention products, and LTV modeling.
- Experience with ETL frameworks and define logging needs in partnership with Data Engineering
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics, or another technical field
- Excellent prioritization and communication skills. Ability to tailor communication across audiences, clearly conveying concepts and insights throughout data story-telling.
You will love working at Curology because:
- Competitive salary and equity packages
- Comprehensive benefits: medical, dental, and vision insurance for employees; flexible spending account; 401k; mental health & wellness programs
- $75 WFH stipend (remote employees)
- Home office setup stipend (remote employees)
- Minimum Time Off policy (unlimited PTO, with at least 3 weeks off) for exempt employees
- 11 company observed holidays
- Additional holidays: Curology days off (1 per quarter), 1 annual floating holiday (employee’s choice), and Gratitude Week (employees take the full week of Thanksgiving off; business critical teams observe different days)
- Paid parental leave
- pre-tax commuter benefits
- Employee donation matching program
- Company-sponsored events
- Free subscription to Curology or Agency (for you and another VIP of your choice!)
The base salary for this position will be between $140,000 to $180,000 depending on your experience, skillset, and geographic location.
#LI-EH1
#LI-Remote
Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded #3 for 2021 Best Workplaces in the Bay Area and 2021 Forbes #4 Best Startup Employers, Curology is a leader in direct-to-consumer eCommerce and has been featured in Vogue, Allure, Harper’s Bazaar, and Business Insider. Our core values are: Accountability, Team First, and Inclusivity.
Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions, and ages, as well as veterans and individuals with disabilities. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records Notice to Applicants under the CCPA.
This job is no longer open