Data analyst

Transform the Digital Landscape as a Data Analyst

Randstad Digital is at the forefront of digital transformation, dedicated to delivering exceptional results for our clients and their customers. With over 25,000 engineers and digital experts worldwide, we specialize in accelerating digital enablement across various industries.

We are seeking a talented Data Analyst to join our team and work on a cloud-based platform that simplifies the subscription of digital services for fleets. This innovative platform offers comprehensive solutions for fleet management, including real-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 cross-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.


Requirements:

* 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, such as PySpark and distributed storage/processing systems.
* Familiarity with ETL tools and building data pipelines.