Analytics Engineer

November 20

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Syntax

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Enterprise • Cloud Computing • Professional Services

Syntax is a company that provides enterprise cloud solutions focused on SAP and Oracle EBS integrations. They cater to various industries, offering tailored services that enhance operational efficiency through solutions like Hybrid Cloud and Security Beyond ERP. Syntax also emphasizes the importance of professional networking and community engagement, aiming to connect talent with opportunities.

1001 - 5000 employees

Founded 1972

🏢 Enterprise

📋 Description

• Build end‑to‑end BI solutions leveraging Power BI on Azure and AWS environments, ensuring scalability, performance, and governance • Create impactful Power BI dashboards and interactive reports that deliver critical KPIs across supply chain, financial, and manufacturing domains • Integrate Power BI visuals and data models into Power Apps solutions where appropriate to enable true insight‑to‑action feedback loops • Collaborate with Sales and Solution Architect teams to design prototypes, build demo content, present solutions to prospects, and estimate project effort and licensing requirements • Guide customers in Power BI governance, user enablement, data literacy, and adoption of new features • Apply solid data modeling techniques, DAX and Power Query M expertise, and working with SAP, JD Edwards, and other ERP data sources • Employ Generative AI tools to enhance personal productivity, solution design, and coding efficiency within Syntax guidelines • Collaborate closely with cross‑functional colleagues and demonstrate our team principle of “No Jerks Allowed” through constructive communication, mutual support, and shared success

🎯 Requirements

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or related field (or equivalent experience) • 4+ years of hands‑on Power BI development experience (DAX, Power Query M, data modeling, Row‑Level Security) • Proven experience implementing Power BI solutions on Azure (certainly Data Lake or Synapse integrations) and AWS environments • Strong understanding of core business processes and KPIs in finance, manufacturing, and supply chain • Comfort advising customers and training business users on BI tools and best practices • Excellent verbal and written communication skills with the ability to interact confidently with technical and executive stakeholders

🏖️ Benefits

• Competitive, above-average compensation • Flexible working time models, home office • Attractive benefits, e.g. company pension scheme or various health offers • Open feedback culture, flat hierarchies and a motivated team • Individual career planning with continuous training and coaching on the job