Data / Sales Revenue Analyst

Há 11 horas


Recife, Brasil Sphise Tempo inteiro

Data / Sales Revenue Analyst Location: Brazil (Remote)About Sphise Technologies Sphise Technologies is a global outsourcing and talent solutions company, partnering with high-growth businesses to build strong, high-impact teams across finance, technology, and operations. For one of our clients, a mid-sized company operating at scale, we are currently looking to hire a Data / Sales Revenue Analyst About the Role We are looking for a Data / Sales Revenue Analyst with strong experience in building, maintaining, and scaling Tableau dashboards to support commercial, sales, and revenue decision-making. This role sits at the intersection of data analytics, sales performance, and business intelligence . An FP&A or finance background is not required , though exposure to revenue, pricing, or financial metrics is a significant plus. Key Responsibilities Data & Analytics: Design, build, and maintain advanced Tableau dashboards for sales performance, revenue trends, pipeline health, and forecasting. Revenue & Sales Intelligence: Analyze revenue drivers and trends, and support Sales and RevOps teams with KPI tracking, funnel analysis, and performance insights . Data Management: Work with multiple data sources (CRM, ERP, Databricks, SQL) to extract, transform, and validate data quality for analytics and reporting. Stakeholder Collaboration: Present insights and recommendations to leadership and non-technical stakeholders , translating data into clear business outcomes. Required Qualifications •Must-Have: 3–7+ years of experience in data, sales, or revenue analysis Expert-level Tableau skills , including dashboard design and data storytelling Advanced SQL and hands-on experience working in Databricks environments Strong understanding of sales and revenue metrics (pipeline, conversion, growth, retention)•Nice-to-Have: Exposure to FP&A, pricing, or financial analysis Experience with Salesforce , Snowflake , or BigQuery Familiarity with SaaS, RevOps, or data-driven commercial environments Benefits: Competitive salary to recognise and reward your achievements. Flexible work environment. Opportunities for professional and personal growth.


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