Data Analyst, Product
Remote (within United States)
Commercial & Technology – Insights & Analytics /
Full Time /
Remote
We are seeking a curious data analyst who thrives at the intersection of Product Analytics, Digital Product, and Growth Marketing. The ideal candidate will have strong technical, analytical, and product foundations – with experience in deriving insights from complex data and a hunger to drive meaningful business impact and leverage user insights to guide product strategy.
Additionally, you’ll contribute to our broader Insights & Analytics team and elevate company data culture by sharing your learnings, facilitating partnerships with key stakeholders, and building new capabilities for using data to drive decisions.
Essential Duties & Impact Areas:
- 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.
Minimum 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.
$100,000 - $150,000 a year
