Customer Analytics Engineer

Job not on LinkedIn

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grasshopper Bank

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🏦 Banking

💳 Fintech

🔌 API

Banking • Fintech • API

Grasshopper Bank is a digital-first bank focused on providing innovative financial solutions for small businesses, startups, and venture capital firms. They offer a wide range of banking services including small business checking and savings accounts, startup banking, and lending options such as SBA and venture capital lending. In addition, they provide embedded finance and API banking solutions, showcasing their expertise in fintech and digital finance. Grasshopper Bank focuses on secure and flexible operating accounts, as well as treasury management tools designed to help businesses and firms manage their finances effectively. With a strong emphasis on digital banking, they offer powerful online tools to facilitate bookkeeping, cash flow management, and payment processing for their clients.

📋 Description

• Design, build, and optimize scalable Customer 360, C-MDM, dimensional, and One Big Table datasets in Google BigQuery • Establish customer identity mapping, multi-touch marketing attribution, data quality, and governance practices • Define customer entities, segmentations, Critical Data Elements, and unified business and technical definitions • Design, deploy, and maintain resilient ELT/ETL pipelines using SQL, Python, and orchestration tools • Build reverse-ETL workflows syncing customer traits, behavioral events, and engagement tiers to Braze and CRM systems • Implement automated testing, anomaly detection, schema validation, uptime monitoring, and alerting • Design and maintain Tableau dashboards for acquisition funnels, retention, product penetration, churn, and deposit velocity • Translate complex data into actionable narratives for business leaders and product managers • Optimize BigQuery queries and Tableau extracts for performance and cost efficiency • Partner with Marketing, Product, and Business Line leaders on quantitative frameworks and tracking requirements • Document customer data lineages and KPI definitions and coach end-users on self-service data discovery

🎯 Requirements

• 2–4+ years of hands-on experience in a hybrid data role such as Analytics Engineer, Customer Data Engineer, BI Developer, or Marketing Data Engineer • Expert-level SQL skills, including advanced analytical window functions, complex CTEs, array/struct unnesting, and performance tuning in cloud data warehouses • Strong experience with Google BigQuery • Strong experience with Kimball dimensional modeling, star schemas, and behavioral/event-based data models • Deep proficiency in Tableau Desktop and Tableau Server/Cloud, including LOD expressions, parameters, and dashboard UX/UI design principles • Demonstrated experience using Python for data transformation, API integrations, and workflow automation • Strong understanding of CAC, LTV, cohort retention, churn hazard rates, and marketing attribution funnels • Experience presenting complex data insights to non-technical stakeholders and driving cross-functional alignment • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or equivalent practical experience

🏖️ Benefits

• Remote work flexibility • Diversity of thought and perspective • Cross-functional teamwork culture • Opportunities to contribute to banking innovation • Inclusive partnership and collaborative growth environment

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