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Nearmap
Posted 82 days agoVerified live 18h ago

Business Analyst, Product

Brief overview

Remote
2+ yrsMinimum
Product AnalyticsBusiness IntelligenceCommercial StrategySQLLookerTableauPower BISalesforceGongSnowflakePythondbt

About the company

Nearmap is an aerial technology company that provides geospatial data and location intelligence services to the insurance sectors.

Job description

Summary

Nearmap is a company focused on property intelligence, utilizing aerial imagery and AI-driven analytics to reshape how environments are understood. They are seeking a Business Analyst for their Product team to provide analytical support that informs commercial decisions and enhances product value in the market.

Responsibilities

  • Partner with the GTM team to evaluate the accuracy and effectiveness of current product bundles and go-to-market structures
  • Support the rollout of Nearmap's updated commercial models and product-based TAM/SAM/SOM analysis as a primary near-term analytical workstream
  • Identify gaps between list rates and realized value across segments, verticals, and geographies
  • Drive a regular cadence of commercial reviews with clear recommendations for adjustments
  • Refine analytical frameworks covering willingness to pay, value anchoring, and competitive benchmarking
  • Support the development and testing of new bundle and packaging concepts
  • Build living documentation of analytical logic to ensure methodology becomes institutional knowledge, not tribal
  • Maintain granular revenue and profitability reporting by product, vertical, and customer segment, with real-time dashboards that give leadership visibility into commercial performance, discount trends, deal economics, and margin health
  • Quantify and communicate the ROI customers receive from Nearmap products, supporting Sales Performance Managers with ROI models and value calculators for customer conversations
  • Collaborate with Customer Success and Product to surface usage and value signals from the customer base, maintaining product-based churn and upsell analytics
  • Support deal desk and complex approval workflows with data-driven analysis
  • Build durable, repeatable analytics assets using AI-assisted development practices—documented, version-controlled, and designed to run without you in the room
  • Identify and implement opportunities to automate reporting, anomaly detection, and commercial signal generation across the product portfolio
  • Work closely with Revenue Operations to implement commercial changes in CPQ and downstream systems, ensuring analytics infrastructure stays aligned with CRM and billing data

Skills

  • 2–4 years of experience in product analytics, business intelligence, or commercial strategy
  • Strong SQL proficiency and fluency in at least one BI platform (Looker, Tableau, Power BI, or similar)
  • Demonstrated, day-to-day use of AI tools (LLM-assisted analysis, code generation, automated reporting) with Salesforce, Gong, Looker, Snowflake, and familiarity with Claude/Claude Code
  • Ability to build analytics assets designed to last: documented, maintainable, and understood by others
  • Clear communicator who can translate data into recommendations for non-technical stakeholders
  • Comfort working in ambiguity and driving your own work to completion
  • Experience with SaaS commercial models (seat-based, consumption, usage-tiered, or hybrid structures)
  • Background in value strategy or revenue analytics in a B2B context
  • Experience with Python or dbt for data transformation and pipeline work
  • Insurance, geospatial, or PropTech vertical experience

Qualifications

Must Haves

  • 2–4 years of experience in product analytics, business intelligence, or commercial strategy
  • Strong SQL proficiency and fluency in at least one BI platform (Looker, Tableau, Power BI, or similar)
  • Demonstrated, day-to-day use of AI tools (LLM-assisted analysis, code generation, automated reporting) with Salesforce, Gong, Looker, Snowflake, and familiarity with Claude/Claude Code
  • Ability to build analytics assets designed to last: documented, maintainable, and understood by others
  • Clear communicator who can translate data into recommendations for non-technical stakeholders
  • Comfort working in ambiguity and driving your own work to completion

Nice to Haves

  • Experience with SaaS commercial models (seat-based, consumption, usage-tiered, or hybrid structures)
  • Background in value strategy or revenue analytics in a B2B context
  • Experience with Python or dbt for data transformation and pipeline work
  • Insurance, geospatial, or PropTech vertical experience

Benefits

  • In addition to flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions asked!
  • Company-sponsored volunteering days to give back.
  • Generous parental leave policies for growing families.
  • Work from Overseas Policy - explore the world in the approved list of cities while you work!
  • Discounted Private Health Insurance plans.
  • Monthly wellbeing and technology allowance.
  • A Nearmap subscription (naturally!).

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