Asset Data Analyst: Renewable Energy Insights & Dashboards

Additional Resources Ltd; Alloa; On-site; GBP 30,000 - 42,000; Full time

Job summary

Additional Resources Ltd in the United Kingdom is seeking an Asset Data Analyst to manage operational asset data, develop analysis and automated reporting to support performance monitoring and decision‑making. You will work with SCADA data, Python and SQL to create live dashboards and robust reports.

The role involves maintaining data pipelines, documenting processes, and collaborating with engineering teams to improve data quality and drive operational efficiency.

Qualifications

• Degree or HND in Engineering, Computer Science, Data Science or a closely related field.
• Experience obtaining operational information from SCADA systems or industrial internet platforms.
• Background in cleaning and processing time-series data using Excel, SQL and Python.
• Previously worked as an Asset Data Analyst or in a similar role.

Responsibilities

• Manage operational asset data and develop analysis to support decision-making.
• Develop and maintain automated reporting for performance monitoring.
• Monitor asset output, downtime, faults, curtailment and production losses.
• Produce regular and ad-hoc analyses to identify trends and anomalies.
• Create clear reports, dashboards and management information.
• Develop live dashboards using data feeds, APIs and automated pipelines when required.
• Maintain documentation covering data processes and pipelines.

Skills

Python

SQL

Excel

Time-series data

SCADA data handling

Education

Engineering degree

Computer Science degree

Data Science degree

Tools

SCADA systems

Industrial IoT platforms

Job description

Additional Resources Ltd in the United Kingdom is seeking an Asset Data Analyst to manage operational asset data, develop analysis and automated reporting to support performance monitoring and decision‑making. You will work with SCADA data, Python and SQL to create live dashboards and robust reports.

The role involves maintaining data pipelines, documenting processes, and collaborating with engineering teams to improve data quality and drive operational efficiency.