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Overview

As our **Sales GTM Play Analytical Lead** **, you will be the analytical cornerstone of our entire sales campaign strategy. You're not just pulling lists; you're the architect of our targeting engine. You will dive deep into massive datasets to determine** **_which_** **_accounts to target,_** **_why_** **_, and_** **_when_** **_. This role is a critical link between data and revenue, and you will partner directly with sales and marketing leaders to build, iterate, and operationalize the data-driven "plays" that fuel our sales organization's success._**

Responsibilities

+ Spearhead the Audience Engine: Own the end-to-end data strategy for GTM sales plays, from initial ideation and data mining in Databricks and BigQuery to campaign list execution and assignment.

+ Deliver Actionable Insights: Leverage expert-level SQL and advanced analytical skills to query, segment, and analyze vast customer datasets, transforming raw data into prioritized, high-potential target lists.

+ Optimize and Iterate: Continuously develop, test, and refine models to score and prioritize accounts. You will own the iteration loop that makes our targeting smarter and more effective with every campaign.

+ Empower the Sales Team: Partner with sales leadership and operations to build and optimize the process for assigning accounts and contacts to reps, ensuring seamless delivery, accuracy, and speed-to-lead.

+ Measure What Matters: Analyze campaign and play performance, delivering actionable insights and clear recommendations to leadership for continuous improvement.

+ Build for Scale: Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to our sales plays (e.g., conversion rates, pipeline generation, ICP penetration).

Qualifications

+ Required: Advanced SQL & Analytics:

+ 3 years of experience in sales operations, marketing operations, GTM strategy, business intelligence, or a similar highly analytical role.

+ Expert-level proficiency in SQL is required.

+ Deep experience with large-scale data warehouses and platforms (e.g., BigQuery, Databricks, Snowflake) is essential.

+ Preferred: GTM & Business Acumen:

+ Experience in a sales, marketing, or GTM environment is strongly preferred.

+ Strong business acumen and a proven ability to connect complex analytical work directly to business outcomes (pipeline, revenue).

+ Experience with Salesforce (SFDC) and its data model.

+ Core Strengths:

+ Proven, advanced analytical and problem-solving skills, with a talent for simplifying complex problems into actionable, data-backed solutions.

+ Excellent communication and presentation skills, with the ability to influence and present findings to stakeholders at all levels.

+ Strong interpersonal skills and a passion for collaboration.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.