Who we areRecharge 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.We’re hiring aSenior Data Analystto support ourGo‑To‑Market Organization(Sales, Business Development, Revenue Operations and Demand Generation). You willreport into our central Data & Analytics teamand 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 indbtand scalable reporting inLookerTraditional Analytics : applying business acumen, curiosity, and strong quantitative skills to deliver impactful insightsData Product Management (AI‑first) : leveragingLLMs/AIto design and ship data products that meaningfully improvetime‑to‑insightandself‑serve adoptionWhat you’ll doLive by and champion all of our core values (#ownership, #empathy, #day‑one, and #humility).Build and maintaindurable, documented, testedmodels indbtthat 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 maintainLooker explores, dashboards, and standardized reportingthat 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 usingSQL(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 designdata productsto solve them (e.G., standardized KPI hubs, automated pipeline risk alerts, self‑serve funnels, guided explorations, executive views).LeverageLLMs/AIto accelerate insight workflows—examples might include:AI‑assisted “metric explainers” embedded into dashboardsNatural‑language Q&A experiences over curated GTM datasetsAutomated insight summaries / anomaly narratives for weekly GTM reviewsGuided self‑serve templates (“answer this question in 3 clicks”) for common GTM use casesEstablish 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 bring5+ yearsof experience using analytics to solve business problems in fast‑paced environments.AdvancedSQLskills and a track record of delivering actionable insights to non‑technical stakeholders.Strong experience inanalytics engineering :dbt(dimensional modeling, testing, documentation, version control workflows)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, solid judgment, and comfort making tradeoffs under time constraints.Demonstrated experienceleveraging LLMs/AIto 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 supportingGTManalytics (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 stackGit‑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)C compensationHiring range in the US$152,000 USD - $190,000 USDBenefits at a GlanceMedical, dental and vision plansRetirement plan with employer contributionRecharge 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.#J-18808-Ljbffr

📌 Senior Data Analyst, Gtm Analytics - $152,000 - $190,000 A Year (Toronto)
🏢 ReCharge
📍 Toronto