Our Company:
Abyss Solutions is reinventing industrial asset management both above and underwater for step-change improvement in asset life, maintenance cost, and reduction of failure risk. Think oil rigs, dam walls, ship hulls, any asset subject to deterioration in water and weather.

We do so utilize extremely sophisticated, unique (and patented) Artificial Intelligence/ Machine Learning software together with a deep understanding of our customers’ asset integrity needs and processes. Creating a 3D ‘digital twin’ of customer assets. Using drones and Abyss analytics is just the beginning, Abyss comprehensively classifies the ‘state’ of the asset to identify exactly what maintenance is required, providing precise direction.

Abyss is driving to fully automate the maintenance process, expanding applications and capabilities into other verticals.

Position Summary
The Junior Data Analyst supports data-driven decision-making across Abyss Solutions' production and operations functions. Working closely with analysts and project teams, this role is responsible for maintaining dashboards, generating operational insights, updating production metrics, and ensuring rigorous data governance across all delivery workflows. The role serves as a key point of contact for stakeholder data needs — providing real-time visibility into project status, tracking performance against targets, and proactively identifying factors affecting production complexity. The Junior Data Analyst also supports QA functions and automation initiatives as required by the business.

Key responsibilities

Insights & Reporting

• Generate actionable insights for project teams pertaining to production quality and efficiency.
  
• Deliver proactive, data-driven insights at the stage, module, and production levels.
  
• Maintain a rigorous check on ongoing metrics through various project sheets to ensure performance stays on track.
  
• Proactively identify unexpected variables and factors that impact production complexity and overall performance.
  

Dashboard & Tool Management

• Maintain and update the Ops-Production dashboards on a monthly basis, integrating real-time insights to reflect actual versus planned outcomes.
  
• Ensure all reports and dashboards are real-time, interactive, and easily accessible to relevant stakeholders.
  

Database Governance

• Assist senior analysts in governing and monitoring the Production Metrics Database to guarantee data accuracy and availability.
  
• Ensure all operations reports are organized and easily accessible to all relevant stakeholders at all times.
  

Stakeholder Management

• Act as a point of contact for stakeholder management, ensuring all data needs are met effectively.
  
• Generate all required working sheets for stakeholders across different ongoing projects as needed.
  
• Keep all progress sheets and project tracking data fully up to date.
  

Automation & Process Optimization

• Design and implement automated dashboards and reporting pipelines to streamline the monitoring of production performance.
  
• Lead initiatives focused on the automation, monitoring, and analysis of production metrics to improve workflows.
  
• Provide oversight of ongoing production processes to ensure constant alignment with efficiency and governance standards.

Quality Assurance

• Perform strategic spot checks on datasets and modules to ensure quality standards and acceptance criteria are consistently met.
  
• Conduct collaborative spot checks with the Quality team based on surplus load or specific business requirements.
  

Person specification

• Strong ability to collect, maintain, and update dashboards and datasets with a high degree of accuracy.
  
• Solid foundation in data analysis, trend identification, and structured reporting.
  
• Proactive communication skills with the ability to serve as a reliable point of contact for stakeholder data needs.
  
• Strong documentation habits for incident reporting (NCRs, LFIs, RCAs) and tool updates.
  
• Willingness to support and contribute to automation efforts and reporting pipeline development.
  
• Excellent attention to detail with the ability to identify inconsistencies in data or production metrics.
  
• Ability to present findings clearly and confidently to senior analysts and workflow teams.
  
• Self-motivated with the ability to manage multiple priorities and maintain up-to-date awareness of all ongoing projects and modules.
  
• 1-3 years of industrial experience in a relevant industry, engineering or relevant role.

Qualification
Degree in Data Analytics, Statistics, Engineering, or a related discipline (or equivalent practical experience).