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!).