Senior Data Analyst, Recharge
GTM Analytics
$152-190k
Subscriptions & recurring payments for eCommerce
Be an early applicant
Subscriptions & recurring payments for eCommerce
501-1000 employees
Be an early applicant
$152-190k
501-1000 employees
Company mission
To create a world where payments are frictionless, and help merchants grow faster.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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)
- 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)
Application process
- Application window anticipated to close: 6/1/2026. If you’re interested in this opportunity, please submit an application as soon as possible
Our take
E-commerce platform Recharge has been in operation since 2014, helping brands set up and manage a subscription business, removing the operational inefficiencies that brands would face when attempting to manage this themselves. Its cloud-based subscription management platform aims to offer merchants flexibility by leading with an API focus.
Recharge’s basic premise has proven a smart one, with the e-commerce subscription market growing substantially since the company was founded. It, of course, rose particularly steeply over the pandemic, with the closure of brick-and-mortar stores, but in general still follows a market trend towards direct-to-consumer relationships, promising a growing market for Recharge going forward.
Success for the company has been clear, with its merchant roster boasting several thousand users, including Harry’s, Oatly, and BrewDog. The sector has attracted substantial funding, with Recharge completing a remarkable funding round in 2021. This came atop its already stable, cash-flow-positive business and supported its further progress as the subscription industry developed. The company is focused on maintaining its strong position, with new updates and improvements to its offering, including Retain, a suite of tools designed to support retention throughout the subscriber lifecycle.
Steph
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (2 rounds)
May 2021
$227m
SERIES B
Jan 2020
$50m
SERIES A
Total funding: $277m
Company benefits
- Equity packages
- 401(k) offering
- 100% coverage for medical, dental, vision, and life insurance for you and your dependents
- $700/mo remote-life stipend
- Monthly stipend to cover health and wellness
- Coworking space
- Subscription products
- Unlimited paid time off
- 16 weeks of paid parental leave to eligible team members
- Team & company retreats: We value making in-person connections. Past locations include San Diego, Vail, Seattle & Orlando
Company HQ
Mid-City, Santa Monica, CA
Leadership
Oisin O'Connor
(CEO)UCLA Economics graduate who worked as an Analyst at Deloitte before co-founding three companies, all centred on commerce and payments.
Michael Flynn
(CTO)Studied Mechanical Engineering at UCLA, before co-founding a number of companies, including Opportunity Green.
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