Data analyst Porto

Data analyst
Porto
Porto, Porto District, Portugal

Randstad Digital is at the forefront of transforming the digital landscape, committed to delivering exceptional outcomes for our clients' businesses and their customers. With over 25, 000 engineers and digital experts worldwide, we specialize in accelerating digital enablement across various industries. Join us and be part of a
- first organization. We are currently looking for a Data Analyst to join our team to work on a
- based platform that simplifies the subscription of digital services for fleets. This platform offers comprehensive solutions for fleet management, including
- time vehicle position tracking, cruising speed updates, and driving parameter analytics to calculate driver performance and identify vehicle performance patterns. Responsibilities:Conduct data analysis on large datasets, including necessary cleaning and preparation steps. Apply statistical methods such as descriptive statistics, data profiling, and validation. Explore data to identify patterns, relationships, anomalies, and trends. Analyze and break down complex problems into manageable parts and actionable insights. Use logic and reasoning to draw meaningful conclusions from data. Prepare and deliver presentations to effectively communicate complex ideas and results. Collaborate
- functionally with different teams to ensure insights align with team strategies. Share findings and methodologies openly to support team members and the broader organization. Document data quality issues and provide actionable recommendations. Work closely with stakeholders to understand business needs and translate them into analytical solutions. Qualifications:5 to 7 years of experience
Proficiency in SQL for querying and managing data. Knowledge of Python or other programming languages used in data analysis. Familiarity with data quality dimensions and best practices. Experience with data visualization tools. Hands-on experience with big data technologies, for example, Py
Spark and distributed storage/processing systems. Familiarity with ETL tools and building data pipelines. Knowledge of cloud platforms and services (AWS experience is a plus).