Data Analyst, Product

April 2

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Curology

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Making effective skincare accessible. Forbes, Fortune, Great Place to Work Best Company. We're hiring!

Skincare • Dermatology • Acne • Telemedicine • Anti-Aging

501 - 1000

💰 Funding Round on 2021-03

Description

• Works with product & technology partners and business end-users to deeply understand data, document data assumptions and definitions, as well as, help define KPIs for business units and determine analysis needs and requirements. • Owns the end-to-end development of dashboard and visualizations from requirements gathering, to iterative development with stakeholders, to final launch and communication of insights. • Creates and maintains statistical models and visualization for ongoing and ad hoc review and analysis of data. • Drives continuous learning by proactively identifying opportunity areas, translating them into structured analysis, generating actionable insights, and advocating for proposed next steps to key stakeholders. • Partners with product development and data management roles to identify and capture data required from internal and external sources. • Embedded analysts focused on analysis and modeling of financial, marketing or product data and partners closely with our digital product teams • Ensure actionable & meaningful analysis of KPIs for A/B testing workstreamsFinds the root causes behind variances of key parameters and resolve issues for data systems by performing deep-dives using various analytical techniques. • Ability to monitor initiatives while effectively communicating business value through the creation of reporting, data sources, and ad-hoc analysis.

Requirements

• 3+ years of analytics experience • 1-2 years experience working collaboratively with product & tech teams: product management, engineering, UX, data engineering, etc. • Strong expertise in manipulating data sets through statistical software and programming languages (ex. SQL, R, SAS, Python, C++, C, Perl, etc.). • Experience using Python, Tableau, or Hex for data wrangling, visualization and statistical packages • Experience in different statistical methods for 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 • Strong communication skills - Ability to tailor communication across audiences, clearly conveying data learnings and distilling insights through data story-telling.

Benefits

• Opportunity to work at the intersection of Product Analytics, Digital Product, and Growth Marketing • Contribute to the broader Insights & Analytics team • Drive meaningful business impact • Elevate company data culture • Develop and maintain dashboards and visualizations • Create and maintain statistical models • Advocate for proposed next steps to key stakeholders • Partner with product development and data management roles • Ensure actionable & meaningful analysis of KPIs • Ability to monitor initiatives effectively communicate business value