GTM Analytics Lead

ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20000 multifamily commercial gated communities and student-housing properties worldwide including properties developed owned and managed by the most trusted names in real estate. Our features are designed for developers owners property managers and tenants and our products lower operating costs and improve tenant satisfaction.

Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access revoke permissions and review entry logs from an online dashboard. Residents can open doors from their smartphones issue visitor access and see who is trying to enter the building.

Fantastic people are the key to our success. As a distributed primarily remote workforce were looking for more intelligent passionate collaborative ai-forward and down-to-earth individuals to join our growing team. Were driven by a shared commitment to excellence and innovation grounded in our core values: We delight our customers We take ownership We are a community of collaborators We speak up We think big and do small and We are tenacious.

ButterflyMX is seeking a GTM Analytics Lead to own the data and decisioning foundation of the Sales organization and evolve it into the trusted intelligence layer that powers every Sales decision planning cycle and GTM automation we run.

This role sits at the center of how we understand our business. You will own the canonical revenue data model govern all metric definitions and ensure every dashboard report and data feed the Sales org depends on is accurate consistent and decision-ready. The VP Director and Business Partners carry the narrative to Leadership; you own the data layer that makes that narrative trustworthy and unimpeachable.

This is a senior individual contributor role at the intersection of data engineering GTM analytics and revenue operations. You will operate with significant autonomy within the Sales data and intelligence domain provide impact directly to Sales Leadership and key partners across Finance Marketing and Product and be expected to proactively identify what needs to be built not just execute against whats handed to you.

When this role is working well leadership moves faster because the data is never in question analysis is never challenged on credibility and the Sales Ops team spends its time with cross-functional stakeholders on judgment rather than reconciliation.

• You are obsessive about data accuracy. When a number is wrong in a dashboard or an exec deliverable you feel it personally. You dont wait to be told. You catch it fix it and close the gap in the data model so it doesnt happen again.

• You build infrastructure not one-offs. You default to codifying things: SQL dbt models governed metric definitions. Every manual spreadsheet you touch becomes a process you automate. You leave the data layer cleaner than you found it.

• You get the business not just the data. You understand how pipeline moves how deals close and how territory and quota decisions get made. You use that context to build data models and dashboards that are actually useful not just technically correct.

• You surface problems within your domain before being asked. Within the Sales data and intelligence layer you proactively spot quality gaps metric inconsistencies and missing visibility while bringing a point of view on what to address next rather than waiting for a request.

• You manage your own workload without constant direction. Demand on this role will outpace capacity. Sales Finance Marketing and Product all have asks. You sequence your own work day-to-day stay focused on what matters most and raise conflicts clearly rather than silently absorbing everything.

• You execute with ownership. Given clear direction and context you scope build and deliver without needing to be managed through it. You come back with what you learned whats next and where you need a decision.

• Own the canonical revenue data model and all metric definitions ensuring consistency of data definitions tables and lineage across all Sales systems and vendor data sources while governing calculation standards for ARR pipeline win rate conversion velocity and all other revenue metrics used in Sales reporting and planning; when this is done well metric definitions are never debated in executive discussions and analysis is never challenged on the credibility of its underlying data

• Build and maintain a unified revenue data and business logic layer combining Salesforce Snowflake and third-party vendor sources; audit continuously for quality gaps metric drift and inconsistencies; this is the foundation everything else in the intelligence stack is built on

• Own all BI dashboards for the Sales organization from executive KPIs to rep-level performance views

• Produce the decisioning outputs that drive the revenue operating rhythm from regular-cadence data packages for QBRs forecasting and pipeline reviews to structured outputs that support annual planning quota-setting territory design and capacity modeling; the goal is that leadership always has what it needs to move with confidence not wait for data to be ready or reconciled

• Provide clean reliable and well-documented data inputs to power GTM automation; partner with the GTM Engineer to validate inputs and flag data quality issues

• Establish and automate repeatable data processes in SQL replacing manual spreadsheet workflows across Sales Operations and Sales Leadership converting recurring manual work into reliable infrastructure and reducing time-to-insight for the team

• Coordinate with Analytics Engineering and Business Systems on Sales data modeling and data quality from dbt transformations of Salesforce data into exec reporting

• Strong SQL skills; production-quality queries well-documented data models and code written as though others will maintain and build on it

• Experience in data architecture management and warehousing; Snowflake strongly preferred

• Hands-on experience with Salesforce data including schema familiarity field-level data quality patterns and how Salesforce data flows into downstream reporting and analytics systems

• Proficiency in modern BI tools such as Sigma Computing Hex Omni Tableau or equivalent with a track record of dashboards that are trusted and actively used

• Demonstrated experience building and maintaining a unified data and intelligence layer that is clean governed and serves as a genuine single source of truth

• Experience supporting strategic planning cycles including quota-setting capacity modeling or territory design with structured data-backed outputs

• Ability to engage directly with Sales Leadership Finance and Marketing as a credible data expert translating technical complexity into clarity without sacrificing rigor

• Background in Data Analytics Analytics Engineering GTM Analytics or Business Intelligence with strong GTM and Sales fluency; Revenue / Sales Operations backgrounds with equivalent technical depth are also well-suited for this role

• Familiarity with multi-channel GTM data environments (e.g. Direct Sales Channel/Reseller) and the data modeling complexity that comes with tracking pipeline and revenue across GTM motions and customer segments

• Experience with businesses that sell hardware and software together where GTM motion pipeline data and customer lifecycle span both

• Experience with multi-product data architectures where products are sold individually or as packaged offerings where pipeline and revenue need to be tracked at the product/SKU level

• Exposure to real estate PropTech or verticals with hierarchical account structures (e.g. property management company vs. building vs. unit)

  
  

The expected base salary range for this position is $135000 - $165000. Actual compensation will depend on factors including budget skills experience location and internal equity. This position may also be eligible for bonuses equity or other forms of compensation where applicable.

• Comprehensive health dental vision and prescription drug coverage for employees and eligible dependents starting on your first day of employment

• Mental health paramedical and wellness benefits

• Life Accidental Death & Dismemberment (AD&D) Short-Term Disability and Long-Term Disability coverage

• Emergency travel medical coverage

• Paid vacation sick days statutory holidays and floating holidays

• Paid Family Leave

• Employee Assistance Program

• Quarterly self-care stipends

• And more!

ButterflyMX provides equal employment opportunities to all applicants and employees without discrimination or harassment on the basis of any characteristic protected under applicable federal provincial or local law including race ancestry place of origin colour ethnic origin citizenship creed (religion) sex sexual orientation gender identity or expression age record of offences (where applicable) marital status family status or disability.

We strive to create an accessible and inclusive experience for all candidates and employees. If you need reasonable accommodations during the application or the recruiting process please let our recruiting team know.

Required Experience:

Senior IC