Analytics Engineer

Accenture Portugal; Lisboa; Híbrido; EUR 55 000 - 85 000; Tempo integral

Resumo da oferta

Accenture Portugal is seeking an Analytics Engineer to bridge BI and Data Engineering, transforming and modeling business data for analytics and reporting. You will work at the intersection of analytics, data engineering, and business insight, delivering high‑quality datasets for decision making.

The role requires 5+ years in BI/Analytics, strong SQL and Python, data modeling, ELT workflows, APIs, and collaboration with stakeholders.

Qualificações

• 5+ years in Business Data, BI Engineering, or Analytics Engineering roles.
• Strong proficiency in SQL and Python.
• Solid experience with data modeling, data transformations, and analytical datasets.
• Exposure to cloud data platforms and data warehouses.
• Hands-on experience with data cleaning, validation, and testing.

Responsabilidades

• Design, develop, and maintain KPI dashboards and executive reporting solutions.
• Build and manage data transformation pipelines following ELT best practices.
• Perform data cleaning, validation, and testing to ensure data quality.
• Deploy and test analytical datasets and transformations.
• Collaborate with business stakeholders to understand reporting and analytics needs.
• Integrate data from multiple sources using APIs and structured workflows.
• Support and optimize BI tools and semantic layers.
• Document data models and transformations.
• Contribute to continuous improvement of analytics engineering processes.

Conhecimentos

SQL

Python

Data modeling

Data transformations

ELT processes

APIs

Data warehousing

BI visualization

Data cleaning

Analytical thinking

Communication skills

English proficiency

Descrição da oferta de emprego

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.

Job Summary

We are seeking a highly qualified professional to join our team as an Analytics Engineer. This role sits at the intersection of Business Intelligence and Data Engineering, focusing on transforming, modeling, and delivering high‑quality business data for analytics and reporting. We are looking for professionals with a strong business mindset combined with solid data and engineering knowledge.

Qualifications

• Minimum of 5 years of experience in Business Data, BI Engineering, or Analytics Engineering roles
• Strong proficiency in SQL and Python
• Solid experience with data modeling, data transformations, and analytical datasets
• Exposure to cloud data platforms and data warehouses
• Hands‑on experience with data cleaning, validation, and testing
• Experience working with data transformation frameworks
• Strong analytical and problem‑solving skills
• Excellent communication and collaboration (soft skills)
• Good level of English (written and spoken)
• Experience with BI and data visualization tools
• Understanding of APIs and data integration concepts
• Knowledge of ELT processes and data workflows

Responsibilities

• Design, develop, and maintain KPI dashboards and executive reporting solutions, including metric calculation frameworks and data visualization
• Build and manage data transformation pipelines following ELT best practices
• Perform data cleaning, validation, and testing to ensure data quality and reliability
• Deploy and test analytical datasets and transformations
• Collaborate closely with business stakeholders to understand reporting and analytics needs
• Integrate data from multiple sources using APIs and structured workflows
• Support and optimize BI tools and semantic layers
• Document data models, transformations, and analytical logic
• Contribute to continuous improvement of analytics engineering processes and tooling

Additional Information

• Location: Lisbon
• Working Model: Hybrid