Data Analyst - GTM Strategy & Operations
@ datadog
US | 2025-12-27
| USD
93750 - 137500
/ year
The role involves designing and maintaining scalable data pipelines to support GTM metrics, with a notable focus on data quality and integration. A key differentiator is the emphasis on...
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The role involves designing and maintaining scalable data pipelines to support GTM metrics, with a notable focus on data quality and integration. A key differentiator is the emphasis on cross-functional collaboration to enable self-service analytics. The primary risk lies in working with complex, fast-changing systems that could introduce data reliability issues, which may hinder decision-making.
Freed is hiring a founding Sales Operations champion to stitch together Sales, Marketing and Customer Success into a single, data‑driven machine in a high‑growth SaaS with an AI scribe origin....
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Freed is hiring a founding Sales Operations champion to stitch together Sales, Marketing and Customer Success into a single, data‑driven machine in a high‑growth SaaS with an AI scribe origin. You’ll own data integrity across revenue systems, design scalable GTM processes, and select and integrate the revenue tech stack—HubSpot CRM and Marketing Hub Enterprise, plus Instantly, Customer.io, HubSpot Sequences, and the occasional Make.com weave. Expect to build dashboards in BigQuery and track SaaS metrics (MRR, ARR, LTV, CAC, NRR) to steer decisions. It’s a greenfield, solo‑ops role in San Francisco backed by Sequoia, with equity and a three‑day‑per‑week in‑person cadence. Pros: rapid impact, broad scope, real cross‑functional influence. Cons: you’re the single point of failure, heavy responsibilities, and a true generalist grind as you scale.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
Gusto's Head of Revenue Analytics is meant to own the revenue data stack end-to-end, marrying executive forecasting with grubby, hands-on analysis across GTM, Finance, Sales and Product. Expect...
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Gusto's Head of Revenue Analytics is meant to own the revenue data stack end-to-end, marrying executive forecasting with grubby, hands-on analysis across GTM, Finance, Sales and Product. Expect 12+ years in analytics and a proven leadership spine, plus hands-on chops in SQL and BI tools, Salesforce, marketing automation, and data warehouses. The remit spans forecasting, attribution, CLV, churn, and AI-driven uplift, with a mandate to ship self-serve dashboards and scalable data products while keeping data quality intact. It’s a high-impact role in a fast-growing SaaS business, but the bar is steep: senior leadership credibility, full cross-functional influence, and the city-pairing salary in SF/NY versus Denver. Opportunity: shape data-informed growth; risk: burnout, abstraction drift, and overambitious AI promises.
This role involves analyzing marketing metrics to help leadership optimize the sales funnel, with a notable focus on collaboration with international analytics teams. The position's differentiator...
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This role involves analyzing marketing metrics to help leadership optimize the sales funnel, with a notable focus on collaboration with international analytics teams. The position's differentiator is its emphasis on building strategic data stories for leadership meetings, while a risk lies in the dependency on existing data sources and team collaboration—potential bottlenecks. Salary is explicitly provided, ranging from $160,000 to $185,000. Tools and technologies include SQL, Tableau, and Looker. Job type is analyst, and it is not an intermediary role.
This Product Manager role involves building Tennr’s analytics platform to improve healthcare operations, offering a rare chance to create a new data-driven layer from scratch. The differentiator...
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This Product Manager role involves building Tennr’s analytics platform to improve healthcare operations, offering a rare chance to create a new data-driven layer from scratch. The differentiator is the opportunity to shape how healthcare providers interpret complex data, while the risk lies in managing project scope amidst technical and operational uncertainties.
Navan’s Revenue Operations Analyst sits at the weary intersection of data and deal velocity: collect, clean, and analyze prospect travel and expense data to quantify revenue opportunities, then...
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Navan’s Revenue Operations Analyst sits at the weary intersection of data and deal velocity: collect, clean, and analyze prospect travel and expense data to quantify revenue opportunities, then pitch value precisely with Excel- and slide-led narratives. It’s heavy on cross‑functional choreography—global sales, finance, and pre/post‑sales gatekeepers—coupled with managing financial calculators and SLA‑driven ticket queues. You’ll present to executives, handle objections, and push for process rigor that scales globally. The role rewards solid SQL optionality, but it leans on advanced spreadsheet skills, crisp visualization, and rigorous problem framing. The credentials skew toward STEM/finance and consulting backgrounds, with a pragmatic tilt toward B2B SaaS FP&A. In a market flooded with data engineers, this one trades speed and storytelling for arithmetic and stakeholder management.
The role involves designing and maintaining scalable data pipelines to support GTM metrics, with a notable focus on data quality and integration. A key differentiator is the emphasis on cross-functional collaboration to enable self-service analytics. The primary risk lies in working with complex, fast-changing systems that could introduce data reliability issues, which may hinder decision-making.
Freed is hiring a founding Sales Operations champion to stitch together Sales, Marketing and Customer Success into a single, data‑driven machine in a high‑growth SaaS with an AI scribe origin. You’ll own data integrity across revenue systems, design scalable GTM processes, and select and integrate the revenue tech stack—HubSpot CRM and Marketing Hub Enterprise, plus Instantly, Customer.io, HubSpot Sequences, and the occasional Make.com weave. Expect to build dashboards in BigQuery and track SaaS metrics (MRR, ARR, LTV, CAC, NRR) to steer decisions. It’s a greenfield, solo‑ops role in San Francisco backed by Sequoia, with equity and a three‑day‑per‑week in‑person cadence. Pros: rapid impact, broad scope, real cross‑functional influence. Cons: you’re the single point of failure, heavy responsibilities, and a true generalist grind as you scale.
Gusto's Head of Revenue Analytics is meant to own the revenue data stack end-to-end, marrying executive forecasting with grubby, hands-on analysis across GTM, Finance, Sales and Product. Expect 12+ years in analytics and a proven leadership spine, plus hands-on chops in SQL and BI tools, Salesforce, marketing automation, and data warehouses. The remit spans forecasting, attribution, CLV, churn, and AI-driven uplift, with a mandate to ship self-serve dashboards and scalable data products while keeping data quality intact. It’s a high-impact role in a fast-growing SaaS business, but the bar is steep: senior leadership credibility, full cross-functional influence, and the city-pairing salary in SF/NY versus Denver. Opportunity: shape data-informed growth; risk: burnout, abstraction drift, and overambitious AI promises.
This role involves analyzing marketing metrics to help leadership optimize the sales funnel, with a notable focus on collaboration with international analytics teams. The position's differentiator is its emphasis on building strategic data stories for leadership meetings, while a risk lies in the dependency on existing data sources and team collaboration—potential bottlenecks. Salary is explicitly provided, ranging from $160,000 to $185,000. Tools and technologies include SQL, Tableau, and Looker. Job type is analyst, and it is not an intermediary role.
This Product Manager role involves building Tennr’s analytics platform to improve healthcare operations, offering a rare chance to create a new data-driven layer from scratch. The differentiator is the opportunity to shape how healthcare providers interpret complex data, while the risk lies in managing project scope amidst technical and operational uncertainties.
Navan’s Revenue Operations Analyst sits at the weary intersection of data and deal velocity: collect, clean, and analyze prospect travel and expense data to quantify revenue opportunities, then pitch value precisely with Excel- and slide-led narratives. It’s heavy on cross‑functional choreography—global sales, finance, and pre/post‑sales gatekeepers—coupled with managing financial calculators and SLA‑driven ticket queues. You’ll present to executives, handle objections, and push for process rigor that scales globally. The role rewards solid SQL optionality, but it leans on advanced spreadsheet skills, crisp visualization, and rigorous problem framing. The credentials skew toward STEM/finance and consulting backgrounds, with a pragmatic tilt toward B2B SaaS FP&A. In a market flooded with data engineers, this one trades speed and storytelling for arithmetic and stakeholder management.
