Analytics Engineer

Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure and resilient private, public or hybrid cloud. With strong technical and functional consulting services, and world-class monitoring and automation, Syntax serves some of North America s largest corporations across a diverse range of industries. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders.

Location:

Syntax

hands on analytics development

• Design and Implement Analytics Applications:

  Build end to end BI solutions leveraging Power BI on Azure and AWS environments, ensuring scalability, performance, and governance.



• Develop Dashboards and Reports:

  Create impactful Power BI dashboards and interactive reports that deliver critical KPIs across supply chain, financial, and manufacturing domains.



• Embed Analytics into Power Apps and Business Workflows:

  Integrate Power BI visuals and data models into Power Apps solutions where appropriate to enable true insight to action feedback loops.



• Support Pre Sales and Demo Development (10-15% of time):

  Collaborate with Sales and Solution Architect teams to design prototypes, build demo content, present solutions to prospects, and estimate project effort and licensing requirements.



• Provide Customer Advisory and Training:

  Guide customers in Power BI governance, user enablement, data literacy, and adoption of new features.



• Ensure Analytics Quality and Best Practices:

  Apply solid data modeling techniques, DAX and Power Query M expertise, and working with SAP, JD Edwards, and other ERP data sources.



• Leverage GenAI for Efficiency:

  Employ Generative AI tools to enhance personal productivity, solution design, and coding efficiency within Syntax guidelines.



• Exemplify Team Values:

  Collaborate closely with cross functional colleagues and demonstrate our team principle of No Jerks Allowed through constructive communication, mutual support, and shared success.

• 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.

• Experience with other BI or visualization tools (e.g., AWS QuickSight, Tableau, Qlik).


• Familiarity with Microsoft Power Apps and Power Automate.


• Exposure to Machine Learning or predictive analytics solutions (especially when integrated with Power BI or cloud services).


• Awareness of Azure Data Factory, Synapse, AWS Glue, or Redshift concepts to collaborate effectively with data engineering teams.

• Remote role - based in the U.S. or Canada; works core Eastern Time hours.




• On site travel

  is minimal and may include occasional client workshops, team gatherings, or industry events.


• Reports within Syntax s

  Analytics Center of Excellence

  (aligned to Analytics, Automation, and GenAI initiatives).

Why Syntax

Become a part of our success story and work in a company with exciting innovation projects that are causing a stir across the industry. We recently launched one of the worlds most advanced manufacturing facilities based on SAP S/4HANA Cloud and SAP Digital Manufacturing Cloud for Execution - for Smart Press Shop, a pioneering joint venture between Porsche and forming specialist Schuler.

• Competitive, above-average compensation


• Global tourist: With us, you can also work from abroad from time to time


• Flexible working time models, home office


• Attractive benefits, e.g. company pension scheme or various health offers


• A modern environment in which the "you" is part of it


• Open feedback culture, flat hierarchies and a motivated team


• Individual career planning with continuous training and coaching on the job

You see a personal challenge in this responsible task