Senior Data Analyst

Accountabilities

• • Own Finance and Post-Sales analytics, developing and maintaining the reporting layer that connects Sales, Post-Sales, and customer lifecycle data.
  • Partner with Finance and senior leadership to define, validate, and maintain key metrics used for board reporting, annual planning, and monthly or quarterly business reviews, including MRR/ARR, churn, retention, and revenue attribution.
  • Build a consistent end-to-end view of the customer journey, from pipeline and activation through retention and expansion, while resolving discrepancies in metric definitions across teams.
  • Own external partnership reporting from requirements gathering through delivery, including customer-facing dashboards and self-service reporting.
  • Translate partner data requirements into reliable data models and dashboards while ensuring information is accurate and appropriately permissioned.
  • Build, automate, and maintain dashboards and reports using BI platforms such as Sigma and Tableau to monitor cross-funnel KPIs.
  • Develop and maintain end-to-end data models and pipelines that provide trusted sources of truth for business reporting.
  • Identify opportunities to use AI to automate repetitive workflows, accelerate analysis, and develop reusable tools and data infrastructure.
  • Communicate complex analytical findings clearly to technical and non-technical audiences and act as a trusted data advisor to stakeholders.

  Requirements

  • 4+ years of professional experience in data analytics, business intelligence, or a related technical field, ideally with experience in Finance, FinTech, Business Operations, or Retention analytics.
  • Advanced SQL skills, including the ability to write complex queries, manipulate data, and investigate business questions independently.
  • Strong experience with data transformation and modeling, including tools such as dbt.
  • Hands-on expertise with business intelligence and data visualization platforms, particularly Sigma and/or Tableau.
  • Proven experience building and maintaining end-to-end data models and pipelines that serve as reliable sources of truth.
  • Demonstrated ability to develop and own dashboards and reporting suites that deliver actionable insights to business stakeholders.
  • Strong analytical and problem-solving skills, with a high level of attention to data accuracy and consistency.
  • Excellent communication and stakeholder-management skills, with the ability to translate technical concepts into clear business recommendations.
  • Demonstrated ability to use AI beyond basic productivity improvements, including automating workflows, accelerating analysis, and building reusable data solutions.
  • Experience working in a fast-paced, high-growth environment and partnering effectively with senior leadership.
  • Salesforce experience is a plus.
  • Ability to work during standard US business hours, with any 8-hour shift between 9:00 AM and 8:00 PM EST.

  Benefits

  • Competitive compensation benchmarked according to function, seniority, experience, and location.
  • Equity opportunity, allowing eligible employees to participate in the long-term success of the business.
  • Comprehensive medical, dental, and vision coverage, with benefits varying by region.
  • Generous paid parental leave.
  • Flexible paid time off.
  • Local retirement or savings plans, depending on location.
  • Remote-friendly, distributed working environment.
  • Commitment to pay equity and an inclusive workplace.
  • Opportunity to work on high-impact analytics supporting leadership, finance, customer operations, and external partnerships.