Description
Join a leading IT firm as a Trainee Data Analyst and embark on a promising career path in data analysis. This entry-level role is ideal for recent graduates or individuals transitioning into the IT sector, offering a robust platform to develop analytical skills and contribute to impactful projects.
Responsibilities:
* Support the collection and processing of complex data sets from varied sources to aid in decision-making processes.
* Work closely with senior analysts to manage and optimise databases and analytical systems.
* Utilise statistical methods to analyse data and generate useful business reports.
* Participate in the design and implementation of data gathering and data processing systems.
* Interpret data and collaborate with the IT team to enhance business operations through data-driven insights.
* Prepare reports and visualisations to communicate findings to internal and external stakeholders.
Requirements:
* Holds a Bachelor’s degree in Data Science, Computer Science, Information Technology, or related fields.
* Demonstrates strong analytical skills and precision in handling and interpreting data.
* Familiarity with statistical software and tools (e.g., Excel, SPSS, SAS) and basic knowledge of SQL and data visualisation tools like Tableau.
* Possesses excellent communication skills, capable of explaining complex data in a straightforward way.
* Shows initiative, ability to work independently, and commitment to personal and professional growth.
Offering:
* A structured training program designed to build expertise in data analysis.
* Career progression opportunities in a thriving and innovative sector.
* Exposure to advanced technologies and methodologies in data handling.
* A supportive and diverse team environment that fosters professional development.
This position represents a fantastic opportunity for individuals eager to develop as data analysts within the rapidly evolving IT industry. Our client values diversity and encourages applications from all qualified candidates, regardless of background
