Submeter

Data Analyst

Lisboa

Descrição da posição

We are looking for a Data Analyst for a project in Lisbon, hibrid, 3x week in the office.

Your Main Responsibilities will be:

Extract, process and analyse data from multiple sources (databases, system logs, monitoring tools), ensuring the quality, consistency and integrity of the analysed data.
Produce statistical analyses and periodic activity reports (KPIs, SLAs, incident trends).
Support the identification of patterns, correlations and root causes associated with technical incidents, in collaboration with technical teams (infrastructure, development, support) for data interpretation.
Perform incident impact analyses, quantifying operational and business effects.
Develop dashboards and analytical reports to support the Technical Support team, using Power BI and Grafana.
Document data models, analytical processes and developed dashboards.

What we expect from you:

High analytical ability and attention to detail, with a natural curiosity for exploring data and identifying hidden patterns.
Critical thinking to question data and results.
Proactivity and autonomy in problem solving.
Strong communication skills, including the ability to explain technical insights to non-technical stakeholders.
Results orientation and continuous improvement mindset.
Collaborative spirit and ability to work effectively in a team.

Requirements

Solid experience in Microsoft Power BI (data modelling, DAX, visualisations) and SQL (advanced querying, joins, aggregations, query optimisation).
Statistical analysis and data interpretation capability.
Experience in building and maintaining operational dashboards.
Strong analytical reasoning and problem-solving ability.
Good knowledge of data visualisation tools.
Proficiency in technical English (reading and writing).

Nice to Have

Experience with Grafana (dashboard creation and data source integration).
Knowledge of data warehousing and data architecture.
Experience with APIs and real-time data ingestion.
Knowledge of ITIL or incident management metrics.
Familiarity with analytical process automation.

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