Senior Databricks Data Analyst

🕒 Outubro 13

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Stitch

11 - 50 funcionários

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

A Stitch é uma consultoria especializada para equipes de marketing que utilizam o Braze, uma plataforma líder em engajamento de clientes. A empresa oferece suporte abrangente na implementação, migração e otimização de estratégias de marketing utilizando o Braze, atuando como uma extensão integral das equipes dos clientes. A Stitch se orgulha de sua profunda expertise no cenário martech e colabora com profissionais de marketing para aprimorar seus programas de engajamento de clientes, liberando o potencial para iniciativas de marketing criativas e orientadas por dados. Como um parceiro confiável, a Stitch foca em ajudar as empresas a aproveitar todo o potencial do Braze para interações transformadoras com os clientes.

Descrição

• Query and analyze client data in Databricks using SQL and Python where needed across silver and gold layers • Connect sources and set up simple ingestion, partnering with data engineers on complex pipeline builds • Build and maintain dashboards, reporting, and Genie spaces using governed data • Interpret data and present prioritized recommendations to marketing and data stakeholders • Drive recommendations through implementation and measurement • Design KPI frameworks, segmentation and lifecycle strategy, identity and customer 360 support, audits, methodology contributions, and QBR/EBR participation • Profile sources, validate data quality, and test outputs for customer identity and customer 360 work • Reconcile audiences and data between Databricks and activation platforms such as Braze • Develop audience segmentation strategies and lifecycle stage definitions • Run data audits and readiness assessments • Present findings and recommendations to client marketing, data, and IT leaders • Partner with project managers, architects, and data engineers to keep engagements on track • Use AI tools such as Genie, Gemini, and Claude for analysis, documentation, and QA • Contribute reusable queries, dashboard templates, assessment tools, and analytics accelerators to Stitch's Databricks methodology • Manage time to meet billable targets of 36+ hours per week • Obtain DBX accreditations and DBX Data Analyst certification • Travel up to 20% for client meetings, workshops, and onsite engagements

🎯 Requisitos

• Strong, hands-on SQL; ability to write queries against large datasets • Working experience in Databricks (strongly preferred) or comparable cloud data platforms such as Snowflake or BigQuery • Experience with SQL warehouses, Unity Catalog, and notebooks or equivalent • Data engineering knowledge sufficient to connect data sources, set up basic ingestion, and work with bronze, silver, and gold data layers • Experience building dashboards and reporting in Databricks AI/BI, Power BI, Tableau, or equivalent • Experience with analytics data design patterns such as star schema • Ability to independently interpret data, make recommendations, and drive them to completion • Exceptional communication skills for explaining technical findings to marketers and executives and business priorities to technical teams • 5+ years of experience in data analytics, analytics engineering, or business intelligence, with hands-on SQL as a core part of the role • 1+ years of hands-on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Redshift) • Demonstrated track record of turning analysis into recommendations that changed a business decision • Client-facing experience within an agency or consultancy required • Must be eligible to work in the United States without visa sponsorship • Python (PySpark or pandas) is a plus • Marketing analytics experience with CRM, lifecycle, or customer data is a strong plus • Databricks certification is a plus

🏖️ Benefícios

• Medical, dental, vision, and life insurance • 401k with company match • Flexible PTO policy • Monthly tech stipend • Paid parental leave • In-person onboarding experience at our HQ in Indianapolis, Indiana • Mental well-being support

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