Data Analyst (Hybrid Model)

Detalhes da Vaga

Boost IT is a Portuguese technology consultancy company, we are integrated into one of the most entrepreneurial groups in Portugal, with investment in more than 30 companies.

We want to be known for being the most dynamic, energetic and reliable company to operate in the market and, for that, we want to count on you.

If you're passionate about technology and want to work on the most relevant technology projects, then this ad could be for you!

Boost IT. Doing IT. Better.

Are you a data enthusiast with a knack for creating efficient dashboards, debugging complex issues, and building scalable data pipelines? Join our dynamic team as a Data Analyst and become a key contributor to our mission of driving data-driven decision-making across the organization.

Tasks Implement IT tools and statistical methods to organize, synthesize, and translate data into actionable insights. Provide analytical support for complex data exploration and analysis. Create and industrialize processes for extracting meaningful data. Manage operations, data architecture, and database administration to ensure consistent performance. Deliverables Support data-related activities across multiple teams. Debug and resolve issues collaboratively with diverse teams. Build dashboards and scalable data pipelines. Project Streams Collaborate with development teams to integrate IT-side projects and enhance Power BI dashboarding capabilities. Work with business analysts to bring corporate dashboards into production. Define scopes and execute technical integration projects across the company. Address change requests and tickets related to dashboards and semantic layers. Team Composition Work closely with a Product Owner, Data Lead, Data Engineers, and Data Scientists. Requirements Technical Skills 3 to 5 years of professional experience in data analysis/analytics. BigQuery: Proficient (Required). Power BI: Proficient (Required). ServiceNow: Competent (Desirable). Looker ML: Competent (Nice to have). Language Proficiency English: Professional level (Required). French: Elementary level (Desirable). Deliverables & Performance Indicators Develop structured data models and algorithms/statistical methods. Respond effectively to business queries, meeting performance targets.
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Salário Nominal: A acordar

Fonte: Jobleads

Função de trabalho:

Requisitos

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