Senior Data Analyst, GTM Analytics

## About the Role The Senior Data Analyst role at Recharge is a critical position that will support the company's Go-To-Market Organization, comprising Sales, Business Development, Revenue Operations, and Demand Generation. As a key member of the central Data & Analytics team, you will work closely with GTM leadership to enhance performance measurement, identify growth opportunities, and scale self-serve insights across the organization. Your expertise in analytics engineering, traditional analytics, and data product management will be instrumental in driving business growth and customer retention.

The role requires a deep understanding of GTM analytics, with the ability to build trusted, well-modeled data sets in dbt and scalable reporting in Looker. You will design and implement dimensional models, metrics definitions, and datasets that make analysis repeatable and trustworthy. Your work will have a direct impact on the company's ability to deliver seamless customer experiences and drive revenue growth.

As a Senior Data Analyst at Recharge, you will be part of a dynamic team that is passionate about innovation and customer satisfaction. You will have the opportunity to work with a talented group of professionals who are dedicated to building the future of commerce around customer retention.

## What You Will Do - Build and maintain durable, documented, and tested models in dbt that power GTM reporting, including pipeline, funnel, conversion, bookings, forecasting, rep performance, and account health.

• Design dimensional models, metrics definitions, and datasets to make analysis repeatable and trustworthy.
• Develop and maintain Looker explores, dashboards, and standardized reporting that enable self-serve by the GTM organization.
• Implement data quality checks, monitoring, and model documentation to ensure stakeholders can confidently act on results.
• Partner with data engineering on upstream improvements, including instrumentation, source system hygiene, and pipeline reliability.
• Collaborate with GTM stakeholders to clarify business questions and translate them into analysis plans, metrics, and decision frameworks.
• Perform analysis using SQL (and Python as needed) to identify trends, diagnose performance, and recommend actions, such as funnel bottlenecks, win-rate drivers, deal velocity, and territory/segment opportunities.
• Build GTM narratives that connect data to decisions, clearly communicating insights with business context to leaders and cross-functional partners.
• Proactively monitor performance and adoption signals to surface risks, anomalies, and opportunities, then drive stakeholders toward resolution.
• Identify high-leverage GTM insight bottlenecks and design data products to solve them, such as standardized KPI hubs, automated pipeline risk alerts, self-serve funnels, guided explorations, and executive views.
• Leverage LLMs/AI to accelerate time-to-insight and self-serve adoption.

## What We Are Looking For - 5+ years of experience in data analysis, preferably in a GTM or sales operations role.

• Strong proficiency in analytics engineering tools, such as dbt, and data visualization platforms, like Looker.
• Experience with CRM systems, including Salesforce and HubSpot.
• Excellent quantitative skills, with the ability to analyze complex data sets and communicate insights effectively.
• Strong business acumen, with a deep understanding of sales, marketing, and customer success operations.
• Ability to design and implement dimensional models, metrics definitions, and datasets that make analysis repeatable and trustworthy.
• Experience with data product management, including the design and development of data products that drive business growth.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
• Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science.

## Nice to Have - Experience with machine learning and artificial intelligence, including LLMs/AI.

• Familiarity with cloud-based data platforms, such as AWS or GCP.
• Knowledge of data governance and security best practices.
• Experience with agile development methodologies and version control systems, such as Git.
• Certification in data analysis or a related field, such as Google Data Analytics or Tableau.

## Benefits and Perks - Competitive salary and benefits package.

• Opportunity to work with a talented and dynamic team.
• Flexible working hours and remote work options.
• Professional development opportunities, including training and conference sponsorships.
• Access to the latest tools and technologies, including dbt, Looker, and LLMs/AI.
• Comprehensive health insurance and wellness programs.
• Generous paid time off and holiday policy.
• Stock options and equity participation.
• Annual bonus and performance-based incentives.

- Tip: Develop a strong portfolio that showcases your data analysis and visualization skills, including examples of your work with dbt, Looker, and other relevant tools.

• When applying, highlight your experience with GTM analytics, including your ability to build and maintain data models, design dimensional models, and develop scalable reporting solutions.
• Be prepared to discuss your approach to data product management, including your experience with LLMs/AI and your ability to design and develop data products that drive business growth.
• Research Recharge's products and services, and be prepared to discuss how your skills and experience align with the company's mission and goals.
• Practice your communication skills, including your ability to effectively communicate complex data insights to non-technical stakeholders.
• Be prepared to discuss your experience with data governance and security best practices, including your knowledge of data privacy regulations and compliance requirements.