Analytics & BI Application Specialist
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Act as a liaison between QCA's customers and the development team, ensuring effective communication of business requirements.
Conduct comprehensive business analysis and gather technical requirements.
Configure and interface with modern SCADA and industrial historian systems.
Design, develop, and troubleshoot modern database solutions using cloud-based platforms.
Implement robust data integration processes for analytics and data transformation.
Architect and implement scalable, secure cloud-based infrastructures.
Develop advanced BI solutions and dashboards to support client decision-making.
Facilitate seamless data flow between industrial control systems and enterprise applications.
Maintain comprehensive documentation of system architectures, processes, and solutions.
Responsibilities:
Act as a liaison between QCA's customers and the development team, ensuring effective communication of business requirements.
Conduct comprehensive business analysis and gather technical requirements.
Configure and interface with modern SCADA and industrial historian systems.
Design, develop, and troubleshoot modern database solutions using cloud-based platforms.
Implement robust data integration processes for analytics and data transformation.
Architect and implement scalable, secure cloud-based infrastructures.
Develop advanced BI solutions and dashboards to support client decision-making.
Facilitate seamless data flow between industrial control systems and enterprise applications.
Maintain comprehensive documentation of system architectures, processes, and solutions.
Requirements:
2 to 4 years of relevant experience in Analytics, BI, or similar fields.
Bachelor’s degree in Computer Science, Data Engineering, Industrial Automation, or a related field.
Proficiency in modern database technologies such as SQL Server, Azure SQL, or PostgreSQL
Hands-on experience with industrial data historians (e.g., OSIsoft PI, Ignition, Canary Labs).
Expertise in data integration tools and frameworks (e.g., Apache NiFi, Azure Data Factory, Talend).
Familiarity with data integration protocols (e.g., OPC UA, MQTT, REST APIs).
Experience with Business Intelligence and visualization tools (e.g., Power BI, Tableau, Looker).
Experience with modern version control systems (e.g., Git) and CI/CD practices.
Analytical thinker with a meticulous eye for detail and a solutions-oriented mindset
Exceptional interpersonal skills with the ability to convey ideas effectively
Able to build positive relationship within and across teams
Other qualifications (preferred but not required:
Knowledge of industrial automation systems (e.g., SCADA, PLC).
Experience with IIoT platforms and edge computing solutions.
Familiarity with machine learning frameworks and AI-driven analytics.
Relevant certifications in cloud technologies or data engineering
Experience in cloud platforms (Azure, AWS, or Google Cloud).
Seniority level Seniority level Associate
Employment type
Employment type
Full-time
Job function Industries Civil Engineering and Industrial Machinery Manufacturing
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