Data Analytics Consultant

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🕒 Março 31

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

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Weidenhammer

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1978

🤖 Inteligência Artificial

☁️ SaaS

Artificial Intelligence • SaaS • Business Intelligence

A Weidenhammer é fornecedora de soluções tecnológicas focada em otimizar resultados de negócios por meio de uma abordagem holística de tecnologia e estratégia. A empresa oferece uma gama de serviços, incluindo inteligência de negócios, automação inteligente, modernização de aplicativos e segurança em nuvem. Ao aproveitar a IA e otimizar os processos de dados, a Weidenhammer ajuda as empresas a modernizar seu ambiente de trabalho, aprimorar experiências de usuário e alinhar a tecnologia com estratégias de crescimento.

Descrição

• Support solution decision-making as a trusted technical advisor. • Design, implement, and deploy data platforms in public and private cloud environments. • Guide clients on data strategy, governance, architecture, and quality management. • Conduct customer workshops, discovery sessions, and presentations. • Educate clients on modern technologies and their business value. • Define processes and tools for data acquisition, storage, transformation, and analysis. • Communicate solution and technology options and their business impact. • Develop roadmaps and implementation strategies for data initiatives. • Review and audit existing solutions and create architecture documentation. • Discuss solutions with stakeholders from C-level to engineering teams. • Function in various roles throughout the project lifecycle. • Assist in pre-sales activities and client presentations

🎯 Requisitos

• Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience. • Minimum 5 years of data solution development experience. • Vast knowledge of Microsoft technology stacks, including Azure and M365. • At least one active Microsoft Fabric certification. • B.S./M.S. in Computer Science, Software Engineering, or related discipline. • Proven ability to develop and implement high-quality software solutions.

🏖️ Benefícios

• Excellent analytical, verbal, written, and communication skills. • Ability to communicate professionally with senior leadership in the role of project leader. • Contribute to an engaging work environment. • Provide technical expertise in business analytics, data integration, and visualization. • Specialist knowledge in major relational and NoSQL-type data platforms. • Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence. • Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT. • Ability to identify company requirements for data insights and warehousing. • Comfortable working with various corporate stakeholders. • Expert in architecting Data Lakes and modern data concepts. • Experience with Row-Level Security. • Experience leveraging Python and GenAI for development. • Nice to Have: · Experience with big data technologies, Data Bricks, and Snowflake. • Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts. • Experience with Star & Snowflake. • Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics