Data Business Analyst (Pricing)

Decision; Porto; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Office presence a few days per week

Resumo da oferta

Decision in Porto, Portugal, is seeking a Data Business Analyst to bridge business needs with data teams in a hybrid setup (2x/week in office). The role emphasizes translating KPIs into analytical requirements, designing meaningful metrics, and co-creating data products with engineers and domain experts.

The ideal candidate brings 5+ years of experience, strong business acumen, governance awareness, and fluency in English.

Qualificações

• 5+ years of proven experience as a Data Business Analyst.
• Translate business KPIs into analytical requirements and data product concepts.
• Experience in designing KPIs, metrics, and analytical views reflecting business needs.
• High ability to translate complex data into simple, actionable insights.
• Understanding of data governance, ownership, and quality principles.

Responsabilidades

• Act as the interface between business stakeholders and the data organization.
• Translate business processes, objectives, and KPIs into analytical requirements and data product concepts.
• Co-create data products with business domain experts and data engineers.
• Define metrics, dimensions, and calculation logic aligned with governance standards.
• Build prototypes, visualizations, and insights to demonstrate business value.
• Support validation, rollout, and continuous improvement of data products in production.

Conhecimentos

Business acumen

Requirements engineering

Stakeholder management

KPIs design

Data storytelling

Data governance

Strong communication

Ownership and accountability

Ferramentas

PowerBI

SQL

Python

Databricks

Synapse

Data modeling

Descrição da oferta de emprego

Description:

Responsibilities

• Act as the key interface between business stakeholders and the data organization.
• Understand business processes, objectives, and KPIs to translate them into analytical requirements and data product concepts.
• Co-create data products together with business domain experts and data engineers.
• Identify relevant datasets and define metrics, dimensions, and calculation logic in alignment with governance standards.
• Build prototypes, visualizations, and insights that demonstrate business value and guide further development.
• Support the validation, rollout, and continuous improvement of data products in production.

Years of experience

• 5+ years of proven experience as a Data Business Analyst.

Functional Skills

• Strong business acumen and ability to understand domain-specific challenges. In this case the pricing domain.
• Skilled in requirements engineering and stakeholder management across business and IT.
• Experience in designing KPIs, metrics, and analytical views that reflect business needs.
• High ability to translate complex data into simple, actionable insights.
• Understanding of data governance, ownership, and quality principles. components.

Technical Skills

• Proficiency in PowerBI.
• Strong SQL skills and familiarity with data modeling concepts.
• Basic experience in Python for data exploration and analysis.
• Good Knowledge of modern data platforms. Databricks and Synapse.
• Willingsness to work on metagdata, lineage, and improve our data catalog tools.

Soft Skills

• Strong collaboration and communication skills with business and data teams.
• Ability to translate analytical results into clear business insights.
• Reliable, structured, and accountable working style.
• Strong sense of ownership for data quality and business impact.

Languages

• Fluency in English (mandatory)
• Portuguese (Nice to have)

Certifications (valued)

• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Microsoft Certified: Azure Data Analyst Associate (DA-100 / PL-300)
• Microsoft Certified: Azure Enterprise Data Analyst Associate (DP-500)

Language: English (Mush have) and Portuguese (Nice to have).

Sector: Automotive Tech

Location: Porto

Work model: Hybrid (2x/week in the office)

Regime de trabalho híbrido.