Senior Data Analyst, GTM Analytics

Back to jobs New Senior Data Analyst, GTM Analytics Remote Apply Who we are Recharge is the subscription platform for the world’s fastest-growing and most innovative brands. Shopify’s premier subscription solution, Recharge is on a mission to build the future of commerce around customer retention. Known for its relentless product innovation and focus on ease of use, Recharge helps merchants deliver seamless customer experiences that drive customer retention and revenue growth. The Recharge platform leverages data from over 100 million shoppers to help brands more successfully set up, manage, and grow their subscription businesses. Recharge is a hands-on partner to over 20,000 brands globally — including quip, Dr. Squatch, Blueland, Estrid, Oats Overnight, Bobbie, and more. Learn more at: getrecharge.com 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 recruiting@getrecharge.com before your interview—we’ll arrange an approved solution. C ompensation  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. Benefits at a Glance Medical, dental and vision plans Retirement plan with employer contribution Flexible Time Off Paid Parental Leave Monthly Remote Life and Merchant stipends Recharge  |  Instagram  |  Twitter  |  Facebook Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.   T ransparency in Coverage This link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This  link  leads to the Kaiser machine-readable files. #LI-Remote Create a Job Alert Interested in building your career at Recharge? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Email * Phone Country * Phone * Location (City) * Locate me Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Do you now, or will you in the future, need sponsorship from an employer in order to obtain, extend or renew your authorization to work in the United States or Canada? * Select... Have you directly supported Go-To-Market (GTM) analytics (e.g., pipeline, forecasting, funnel, or sales performance)? * Select... 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