Senior Data Analyst, GTM Analytics

Overview

We’re hiring a Senior Data Analyst to support our Go-To-Market Organization (Sales, Business Development, Revenue Operations and Demand Generation). You will report into our central Data & Analytics team and partner closely with GTM leadership to improve how we measure performance, identify growth opportunities, and scale self-serve insights across the organization.

This role blends:

• Analytics Engineering: building trusted, well-modeled data sets in dbt and scalable reporting in Looker
• Traditional Analytics: applying business acumen, curiosity, and strong quantitative skills to deliver impactful insights
• Data Product Management (AI-first): leveraging LLMs/AI to design and ship data products that meaningfully improve time-to-insight and self-serve adoption

What you’ll do

• Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

• Build and maintain durable, documented, tested models in dbt that power GTM reporting (e.g., pipeline, funnel, conversion, bookings, forecasting, rep performance, account health).
• Design dimensional models (facts/dimensions), metrics definitions, and “one version of the truth” 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 so stakeholders can confidently act on results.
• Partner with data engineering on upstream improvements (instrumentation, source system hygiene, 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 (e.g., funnel bottlenecks, win-rate drivers, deal velocity, 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 (e.g., standardized KPI hubs, automated pipeline risk alerts, self-serve funnels, guided explorations, executive views).
• Leverage LLMs/AI to accelerate insight workflows—examples might include:
• AI-assisted “metric explainers” embedded into dashboards
• Natural-language Q&A experiences over curated GTM datasets
• Automated insight summaries / anomaly narratives for weekly GTM reviews
• Guided self-serve templates (“answer this question in 3 clicks”) for common GTM use cases
• Establish success metrics for data products (e.g., reduced time-to-insight, increased self-serve usage, fewer ad-hoc requests, improved forecast accuracy).

• Work independently in ambiguous environments—framing problems, generating hypotheses, and leading toward outcomes.
• Manage multiple priorities and communicate clearly through Slack, docs, and live stakeholder readouts.
• Contribute to team standards (modeling patterns, documentation, code review, stakeholder intake).
• Mentor other analysts through collaboration, query/design feedback, and best practices (where applicable to your team structure).

What you’ll bring

• 5+ years of experience using analytics to solve business problems in fast-paced environments.
• Advanced SQL skills and a track record of delivering actionable insights to non-technical stakeholders.
• Strong experience in analytics engineering:
• dbt (dimensional modeling, testing, documentation, version control workflows)
• Looker (explores/dashboards, scalable self-serve design)
• Experience translating ambiguous business questions into metrics, analyses, and recommendations—then driving alignment with GTM leaders.
• Strong communication skills across audiences (GTM leadership, RevOps, Finance, Product, Engineering).
• High self-sufficiency, strong judgment, and comfort making tradeoffs under time constraints.

• Demonstrated experience leveraging LLMs/AI to improve business workflows (or strong evidence you can ramp quickly and apply AI pragmatically).
• Product mindset: you think in terms of users, adoption, impact, and measurable outcomes—not just outputs (queries/dashboards).

• Experience supporting GTM analytics (pipeline, forecasting, productivity, territories, win-rate, funnel conversion).
• Experience in Snowflake and modern analytics stack operations.
• Nice to have Python proficiency for deeper analysis, automation, or prototyping.
• Payments and/or ecommerce experience.

Our stack:

• Looker, dbt, Snowflake
• SQL, Python (Pandas/NumPy, etc.)
• Git-based workflows (e.g., GitLab)
• Business systems commonly leveraged by GTM (e.g., Salesforce/HubSpot—depending on your internal setup)
• AI tooling used across the org (Claude, Cursor, Colab)

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email [email protected] before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $152,000 USD - $190,000 USD

Application window anticipated to close: 6/1/2026. If you’re interested in this opportunity, please submit an application as soon as possible.