Senior Go To Market Financial Analyst

Empowerly Logo

Empowerly

πŸ’΅ $100k-$155k
πŸ“Remote

Summary

Join Empowerly, a fast-growing ed-tech company, as our Senior GTM Data Analyst. This highly cross-functional role reports to the CFO and works closely with Marketing, Sales, Business Development, Finance, and Product teams. You will analyze large datasets from various sources, develop and maintain KPIs, conduct experimentation analysis, perform customer segmentation, and deliver regular reporting. You will also build and maintain data models, design dashboards, and provide actionable insights to optimize campaigns. This role requires strong cross-functional collaboration and project management skills. The ideal candidate thrives in fast-paced environments and has a proven ability to influence stakeholder decisions through data-driven insights. This is a remote-first position offering a competitive salary and meaningful equity.

Requirements

  • 2+ years Python (Pandas, Requests, Matplotlib, NumPy, SciPy, Seaborn)
  • 2+ years SQL (Redshift, Postgres, or equivalent)
  • 1+ years in Tableau or equivalent data visualization tools
  • 2+ years Excel and Google Sheets (vlookups, pivot tables, graphs)
  • 5+ years of GTM, marketing, or revenue analytics experience
  • 5+ years of experience working cross-functionally across Sales, Marketing, Finance, or Product
  • Strong understanding of VC-backed growth stages (Series A–C) and how to influence in founder-led companies
  • Proven ability to deliver business impact through data and influence stakeholder decisions
  • Familiarity with tools like HubSpot, Salesforce, Google Analytics, and Facebook Ads
  • Bachelor’s degree required

Responsibilities

  • Analyze large datasets across CRM (HubSpot, Salesforce), ad platforms (Google Ads, Facebook Ads), website analytics (Google Analytics), and sales tools
  • Develop and maintain KPIs to measure acquisition, conversion, retention, LTV, and channel ROI
  • Conduct experimentation analysis, including A/B testing and multivariate testing
  • Perform customer segmentation and profiling to refine targeting and personalization
  • Evaluate and improve marketing attribution models to understand cross-channel effectiveness
  • Deliver weekly and monthly reporting to GTM stakeholders, surfacing key insights across B2C, B2B, and B2B2B motions
  • Build and maintain scalable data models to support reporting and growth analysis
  • Work with data infrastructure such as Amazon Redshift
  • Design intuitive dashboards using Tableau , Google Data Studio , or equivalent BI tools
  • Transform data into visual stories tailored to stakeholders in Sales, Marketing, and Finance
  • Provide actionable insights to optimize campaigns and maximize ROI
  • Identify untapped growth channels beyond SEO (e.g., partnerships, events, affiliates, outbound)
  • Collaborate with marketing and sales teams to shape and execute GTM strategies
  • Stay ahead of marketing trends and technologies to drive innovation
  • Support strategic planning and execution tied to revenue growth goals
  • Act as a strategic partner to Sales, Marketing, Biz Dev, Product, and Finance
  • Manage and prioritize multiple analytics projects simultaneously
  • Ensure alignment between data insights and weekly/monthly GTM execution
  • Help the team scale from a performance-marketing foundation to a data-informed, diversified revenue engine
  • Bring clarity and calm to a fast-paced, founder-led environment where ideas move quickly

Preferred Qualifications

  • Experience with statistical modeling, AI/LLMs, or launching new GTM channels
  • Degree in a quantitative field (e.g., Math, Stats, Econ, Computer Science) preferred
  • MBA or MS strongly preferred
  • If no quantitative degree, completion of a recognized data bootcamp is acceptable

Benefits

  • Competitive salary and meaningful equity
  • Equity
  • Full benefits (health, vision, dental)
  • Remote-first flexibility
  • High visibility with C-level leadership
  • A mission-driven, values-based team helping families nationwide

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