Head of Sales Data Science, Analytics

Jobtailor

California (MO)

Hybrid

USD 150,000 - 190,000

Full time

3 days ago

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Job summary

Jobtailor seeks a senior Lead of Sales Analytics to guide analytics for customer acquisition and product expansion. You will translate data into insights, work with cross-functional partners, and help shape data foundations with Data Engineering and Service Platform teams.

You will advance forecasting, build AI-enabled self-service analytics, and mentor a high-performing team, operating in a hybrid model with office days in select U.S. cities.

Qualifications

10+ years of experience in data science or related fields.
At least 4+ years leading a growing analytics team.
Experience with experimental design, causal reasoning, and quasi-experimental methods.
Experience with Salesforce data at scale, including data extraction strategies and CRM-to-warehouse reconciliation.
Proven experience rebuilding messy, tech-debt-laden data environments for long-term scalability.
Strong SQL skills.
Hands-on experience with dbt and Snowflake.
Experience with Salesforce, BI, dbt, and dashboard transformation layers.
Knowledge of pipeline management, forecasting, quota and attainment tracking, acquisition and expansion motions, and cross-sell/upsell analytics.
Experience driving shared roadmaps with platform engineering, data engineering, and sales operations teams.
Experience leading teams through significant transformation and developing analysts.
Experience presenting infrastructure roadmaps and analytical insights to executive stakeholders.
Clear understanding of AI tooling's impact on analytics and analyst roles.
Proven track record building and leading analytics functions in a high-growth SaaS or technology environment.
Ability to work from a Gusto office on designated days approximately 2-3 days per week, or more depending on role, for employees based in Denver, San Francisco, or New York City

Responsibilities

Lead the Sales Analytics team and set its vision across customer acquisition and product expansion sales teams.
Conduct deep-dive analyses to identify revenue drivers and anomalies.
Translate complex data into actionable insights and recommendations for senior leadership and cross-functional partners.
Rebuild foundational data systems with Data Engineering and Service Platform partners.
Align with the Chief Revenue Officer, Sales Operations, Data Engineering, and Service Platform teams on a shared data and infrastructure roadmap.
Evolve sales forecasting methodology using rigorous analytics such as propensity scoring and improved seasonality controls.
Create AI-enabled self-service analytics capabilities for operations partners.
Recruit, mentor, and develop a high-performing analytics team.
Shift the team from reactive query fulfillment toward strategic analysis.
Connect Data Engineering, Analytics Engineering, Data Science, and AI/ML Engineering solutions to revenue-driving analytics.

Skills

SQL

dbt

Snowflake

Salesforce data

BI tools

Dashboard transformation

Forecasting

Quota tracking

Cross-sell analytics

Analytics leadership

Tools

Salesforce

dbt

Snowflake

Job description

Lead the Sales Analytics team and set its vision across customer acquisition and product expansion sales teams
Conduct deep-dive analyses to identify revenue drivers and anomalies
Translate complex data into actionable insights and recommendations for senior leadership and cross-functional partners
Rebuild foundational data systems with Data Engineering and Service Platform partners
Align with the Chief Revenue Officer, Sales Operations, Data Engineering, and Service Platform teams on a shared data and infrastructure roadmap
Evolve sales forecasting methodology using rigorous analytics such as propensity scoring and improved seasonality controls
Create AI-enabled self-service analytics capabilities for operations partners
Recruit, mentor, and develop a high-performing analytics team
Shift the team from reactive query fulfillment toward strategic analysis
Connect Data Engineering, Analytics Engineering, Data Science, and AI/ML Engineering solutions to revenue-driving analytics

Requirements

10+ years of experience in data science or related fields
At least 4+ years leading a growing analytics team
Experience with experimental design, causal reasoning, and quasi-experimental methods
Experience with Salesforce data at scale, including data extraction strategies and CRM-to-warehouse reconciliation
Proven experience rebuilding messy, tech-debt-laden data environments for long-term scalability
Strong SQL skills
Hands-on experience with dbt and Snowflake
Experience with Salesforce, BI, dbt, and dashboard transformation layers
Knowledge of pipeline management, forecasting, quota and attainment tracking, acquisition and expansion motions, and cross-sell/upsell analytics
Experience driving shared roadmaps with platform engineering, data engineering, and sales operations teams
Experience leading teams through significant transformation and developing analysts
Experience presenting infrastructure roadmaps and analytical insights to executive stakeholders
Clear understanding of AI tooling's impact on analytics and analyst roles
Proven track record building and leading analytics functions in a high-growth SaaS or technology environment
Ability to work from a Gusto office on designated days approximately 2-3 days per week, or more depending on role, for employees based in Denver, San Francisco, or New York City

Core Competencies

Demonstrates expertise in leading analytics teams, driving data-driven decision-making, and developing scalable data systems. Proficient in translating complex data into actionable insights and fostering collaboration across cross-functional teams.

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