Job Description

We are looking for a Junior Operations Data & Automation Analyst to support the improvement, automation and measurement of operational processes across the organisation.

This role combines data analysis, process improvement and low-code automation. The successful candidate will help transform operational data into clear insights, identify opportunities to reduce manual work and support teams in implementing more efficient, reliable and customer-centred ways of working.

Working closely with Operations, IT, Finance, Customer Care and other stakeholders, the role will contribute to reporting, data quality, process documentation, dashboard development and the delivery of practical automation solutions. This is an opportunity for someone at the beginning of their career to develop broad experience in operations, analytics and digital transformation.

Key responsibilities

Operational data analysis and reporting

• Collect, organise and analyse operational data from internal systems and business processes.
• Prepare recurring reports, dashboards and performance summaries for operational and management teams.
• Monitor key performance indicators, identify trends and highlight deviations or emerging issues.
• Translate data findings into clear conclusions and practical recommendations.

Process mapping and continuous improvement

• Document current processes, workflows, business rules and operational dependencies.
• Identify inefficiencies, bottlenecks, duplication and opportunities for standardisation.
• Support the design and implementation of improved processes and operating procedures.
• Track improvement initiatives and assess their impact on productivity, quality and service levels.

Automation and digital solutions

• Identify suitable opportunities to automate repetitive, manual or error-prone activities.
• Build and maintain simple automations, workflows and data solutions using appropriate tools.
• Support the integration of data between systems, ensuring that automated processes are reliable and properly documented.
• Test solutions, investigate errors and coordinate corrective actions with relevant teams.

Data quality and governance

• Validate data accuracy, completeness and consistency across operational sources.
• Investigate data discrepancies and work with process owners to resolve root causes.
• Maintain clear definitions for metrics, fields, business rules and reporting logic.
• Follow relevant data protection, security and access-control requirements.

Stakeholder and operational support

• Work with operational teams to understand requirements, pain points and reporting needs.
• Convert business needs into clear analytical, process or automation requirements.
• Provide support and guidance to users adopting new reports, processes and automated solutions.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.

Productivity and performance management

• Support the definition and improvement of KPIs related to productivity, quality, response times, volumes and customer service.
• Prepare analysis for operational reviews and continuous-improvement meetings.
• Help establish monitoring routines and alerts for relevant operational events.
• Contribute to the creation of scalable, repeatable and well-controlled reporting processes.

Documentation and knowledge sharing

• Maintain documentation for dashboards, reports, automations, processes and standard operating procedures.
• Record assumptions, data sources, calculation logic and known limitations.
• Share knowledge and promote consistent use of data and digital tools across teams.

Skills and competencies

Personal competencies

• Curious, organised and detail-oriented approach to data and operational problems.
• Strong analytical and problem-solving skills, with a practical and delivery-focused mindset.
• Ability to explain data, processes and technical topics clearly to different audiences.
• Proactive approach to identifying improvements and following actions through to completion.
• Collaborative, adaptable and comfortable working with teams from different functions.
• Ability to manage priorities, meet deadlines and maintain high standards of accuracy.

Relevant knowledge and experience

• Degree, professional qualification or equivalent experience in data analysis, business, operations, information systems, engineering or a related field.
• Some experience in data analysis, operations, business intelligence, process improvement or automation, including academic or project experience.
• Working knowledge of Microsoft Excel or Google Sheets, including formulas, data cleansing and pivot tables.
• Basic knowledge of SQL, data visualisation or dashboard tools is valued.
• Exposure to workflow automation or low-code tools such as Power Automate, Zapier, Make or equivalent is valued.
• Understanding of process mapping, KPI reporting and continuous-improvement principles.
• Good written and spoken English.

What we offer

• Health and Life insurance
• Birthday day off
• Team building events
• Office snacks on Fridays
• 24-hour psychological support line
• Discounted gym memberships
• Great Place to Work environment and other employee benefits

Location: Vila Real

Work type: Full time, 100% in the office

We look forward to welcoming you!

By applying for this position, you consent to our data protection and processing policy for recruitment, available at: https://goldenergy.pt/info/recrutamento/

We are committed to equal opportunities and welcome applications from all suitable candidates, irrespective of gender, age, disability, ethnicity, religion or belief, sexual orientation, or any other protected characteristic.