Data Analyst (Contract)
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Key skills for this role
Role Overview
Design and deliver end-to-end industrial data use cases using the AspenTech Inmation platform.
Support industrial data and analytics solutions from source systems through processing, modelling, visualisation, and downstream consumption.
Key Skills for This Role
Full Job Posting
Role Overview
Design and deliver end-to-end industrial data use cases using the AspenTech Inmation platform.
Support industrial data and analytics solutions from source systems through processing, modelling, visualisation, and downstream consumption.
Data Solutions
- Build, maintain, and govern industrial time-series data models using Inmation and PI systems.
- Develop Lua scripts for data processing, transformation, automation, and workflow implementation.
- Create interactive dashboards and visualisations using Data Studio and WebStudio.
- Develop large-screen visualisations for industrial operations and monitoring.
- Enable data exposure to downstream applications through Web APIs.
Platform and Integration
- Act as an AspenTech Inmation subject matter expert and provide technical guidance on platform best practices.
- Support integration of industrial data from multiple sources into Inmation and PI environments.
- Troubleshoot connectivity, processing, visualisation, and API issues across the solution landscape.
- Optimise data models, scripts, dashboards, and integrations for performance and scalability.
Governance and Collaboration
- Establish and maintain standards for data quality, governance, scalability, and reliability.
- Collaborate with OT, IT, engineering, operations, and business teams to translate industrial requirements into scalable solutions.
- Document solution architecture, data flows, configurations, interfaces, and operational procedures.
- Contribute to continuous improvement and standardisation of industrial data and analytics solutions.
Relevant Expertise
- AspenTech Inmation platform expertise, including industrial data modelling and end-to-end data use cases.
- Ability to develop Lua scripts for data processing, transformation, automation, and workflow implementation.
- Experience creating dashboards and visualisations using Data Studio and WebStudio.
- Experience exposing industrial data through Web APIs and integrating data from multiple sources.
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