Data Analyst focusing on transforming data into strategic insights at V.tal. Collaborating with teams and leveraging tools like Power BI, Python, and SQL for impactful results.
About the role
- Data Analyst supporting Finance, Strategy, and Executive teams at Age of Learning. Analyzing subscription performance and providing insights for strategic decision-making.
Responsibilities
- Analyze subscription performance and economics: Conduct deep-dive analyses of subscriber acquisition, conversion, retention, and churn to understand and improve the health of the subscription business.
- Forecasting and planning: Build and maintain forecasting models for subscribers, cash, and revenue to support strategic planning.
- Define and track success metrics: Establish and refine KPIs that measure the health of the subscription business and define success for the company.
- Build self-serve reporting tools and dashboard: Create and maintain automated dashboards and reporting tools that enable business partners to monitor business health and explore data independently.
- Translate data into insights: Synthesize complex analyses into clear, actionable insights and recommendations that inform leadership decisions and improve revenue growth, retention, and profitability.
- Communicate findings clearly: Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way.
- Influence business reviews: Shape weekly and monthly business reviews with executive stakeholders, ensuring the right metrics and insights inform decisions on growth, retention, and profitability.
Requirements
- 6+ years of experience in a product analytics, data analytics, or related role supporting subscription-based businesses.
- Ability to conduct exploratory data analyses and synthesize complex datasets and ambiguous questions into clear, actionable insights.
- Advanced proficiency in SQL for querying large datasets; experience with data transformation and modeling (e.g., dbt) is a plus. Extensive experience with a BI tool such as Omni, Looker, or Lightdash.
- Ability to perform statistical analyses and create visualizations using R or Python; experience with forecasting, cohort analysis, or financial modeling is a plus.
- Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied math, data science, economics, computer science, or related discipline).
- Curious, motivated self-starter who thrives in a collaborative, high-performing environment and values high-quality, thoughtful analysis.
Benefits
- 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums
- A 401(k) program with employer match
- 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year
- Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions
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