Social Media and Growth Marketing Intern
SourceReadyHelp grow SourceReady’s AI-powered supplier search engine through social media strategy, video content, SEO, and community engagement.
Open
TOPMIND is a technology services and consulting company founded in 1994, with more than two decades of experience supporting digital transformation across Brazil, Latin America, and the United States. Its work spans IT outsourcing, business intelligence, analytics, machine learning, big data, chatbots, artificial intelligence, robotic process automation, telecommunications, asset management, and workspace automation. TOPMIND also develops training programs, innovation labs, and change initiatives that help organizations build internal capabilities and adopt new technologies.
Data, BI & Data Engineering Talent Pool – Hybrid Brazil
Join TOPMIND’s talent pool for future full-time opportunities in data, business intelligence, and data engineering. Potential work may include analytics, data pipelines, integration, visualization, and BI solutions in a hybrid Brazil-based setting.
Description
- Join TOPMIND’s talent pool for future opportunities in data, business intelligence, and data engineering
- Analyze data and develop metrics and KPIs
- Build and maintain data environments and pipelines
- Support data engineering, integration, and visualization initiatives
- Create and maintain ETL/ELT, data modeling, database, Analytics, and BI solutions
Requirements
- Background in data analytics and data analysis
- Experience in data engineering
- Business intelligence experience
- Experience creating dashboards, metrics, KPIs, and data visualizations
- Hands-on experience with ETL/ELT and data integration
- Knowledge of data modeling and data processing
- Experience developing and maintaining data pipelines
- Experience working with databases and data environments
- Familiarity with Analytics and BI tools and platforms
- Candidates across all seniority levels may be considered
Benefits
- Potential opportunities across multiple industries and work models
- Future opportunities in data, business intelligence, and data engineering
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