Senior Data Analyst

1 day ago

Canada Versapay Full time $110,000 - $130,000

About Versapay

Versapay is a leading provider of accounts receivable efficiency solutions, helping growing businesses streamline their invoice-to-cash process and automate invoicing, payments, and cash application with AI. Our platform integrates natively with top enterprise resource planning (ERP) systems, allowing businesses to collect payments through a self-serve portal and collaborate with customers and teammates to resolve issues. With a strong presence in the U.S. and Canada, Versapay serves over 10,000 customers and facilitates over 110 million transactions annually, totaling over $170 billion in payments volume.

Our Values

  • We prioritize customer satisfaction and strive to deliver exceptional service.
  • We foster a culture of collaboration and teamwork, supporting each other's growth and success.
  • We celebrate diversity and promote inclusivity, recognizing the value of diverse perspectives and experiences.
  • We continuously seek innovative solutions and best practices, driving improvement and excellence in all aspects of our business.
  • We take ownership of our work and strive for excellence in everything we do.

How You'll Make a Huge Impact

As a Senior Data Analyst - Growth and Revenue, you will play a critical role in unlocking growth and driving efficiency through data-driven insights. You will empower our growth and revenue teams to make informed decisions and drive optimal outcomes by analyzing market trends, identifying opportunities, optimizing campaigns, and guiding sales strategies. Reporting to the VP of Analytics, you will leverage your expertise to uncover insights that fuel our growth strategy.

Key Responsibilities

  • GTM Expertise and Market Focus: Develop a deep understanding of Versapay's growth strategy, target markets, and competitive landscape. Immerse yourself in the world of our customers and understand their needs, pain points, and buying journey.
  • Actionable Insights and Performance Analysis: Generate recommendations and insights from comprehensive analysis across all growth levers, including marketing campaigns, sales and partner performance, lead generation efforts, and revenue data. Identify trends, opportunities, and areas for improvement. Construct models that predict customer behavior and pipeline scenarios.
  • Data-Driven Testing and Decision Making: Create and maintain frameworks for evaluating growth initiatives. Develop and maintain A/B testing methodologies enabling marketers to optimize testing cadences. Design dashboards and reports that track key performance indicators (KPIs), allowing stakeholders to make informed decisions based on data.
  • Marketing & Channel Partner Expertise: Deeply understand the performance and attribution of various marketing channels (e.g., paid search, social media, content marketing) and partner channels (e.g., ERP, VAR, FI) to optimize spend and maximize return on investment (ROI).
  • Data Quality and Collaboration: Collaborate with growth and revenue teams to ensure accurate data collection and tracking across all channels. Work with marketing to define and implement event tracking for campaigns, sales to track lead progression, and finance and revenue operations to optimize forecasting.
  • Customer Journey Analysis: Map and analyze the customer journey across multiple touchpoints to identify key conversion drivers, drop-off points, and opportunities for personalized messaging and engagement.
  • Leadership Collaboration: Engage with growth and revenue leadership to develop a cohesive vision, roadmap, and prioritization framework. Create measurement frameworks, including metrics, dashboards, and visualizations, that help measure the effectiveness and impact of growth efforts.

What You Bring to the Team

  • Proven experience leveraging data to drive impactful business decisions, ideally within a growth or marketing context.
  • Demonstrated ability to partner with and influence cross-functional growth teams (marketing, sales, revenue operations) by translating complex data into insights that drive revenue growth, customer acquisition, and operational efficiency.
  • Demonstrated knowledge of statistical methods, techniques, formulas, and tests, experience developing predictive models and forecasting.
  • Advanced SQL skills, proficiency with Python/R, and experience with business intelligence tools (e.g., Tableau/Power BI). Familiarity with marketing analytics tools and platforms is a plus.
  • An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve complex problems and find creative solutions.
  • Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations. Adept at identifying key business drivers, uncovering opportunities for growth, and influencing decision-making through clear, compelling communication.
  • Able to communicate persuasively and positively, maintaining high standards for verbal and written communication. Demonstrated ability to present complex ideas to technical and non-technical audiences.
  • A high degree of integrity, the relentless pursuit of truth, and an ability to inspire change.

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