Graduate Data Analyst

Job Description

Graduate Data Analyst | Fortray Global Service Limited

The Tone:
This is an entry-level role at Fortray Global Service Limited. While the exact location is not specified, it is presumed to be a full-time position offering comprehensive training and mentorship. Fortray Global Service Limited empowers businesses by transforming complex data into actionable insights that drive informed decision-making. This role is crucial for recent graduates eager to launch a career in data analytics, business intelligence, and reporting, providing hands-on experience and a clear path for professional growth.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Not specified

• Mission: Transform data into actionable insights and help businesses make informed decisions.
• Tech Stack: SQL, Power BI, Tableau, Excel, Python, R

What You’ll Actually Do
• Data Collection & Organization: Collect, clean, validate, and organize data from multiple sources to ensure accuracy and readiness for analysis.
• Insight Generation: Analyse datasets to identify trends, patterns, and key business insights that support decision-making.
• Reporting & Visualization: Develop comprehensive reports, dashboards, and visualisations using tools like Power BI, Tableau, or Excel to present findings.
• Business Support: Provide analytical insights and data-driven recommendations to cross-functional business teams.
• Data Extraction: Write basic SQL queries to effectively extract and manipulate data for analysis and reporting purposes.

The Must-Haves
• Background: Candidates must hold a Bachelor’s degree in Data Analytics, Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Information Technology, or a closely related field, signifying foundational knowledge for an entry-level position.
• Experience: This role is designed for recent graduates or individuals with up to 1 year of experience, requiring no prior professional experience as full training and mentorship will be provided.
• Skills: Strong analytical and problem-solving capabilities, a good understanding of data analysis concepts and techniques, basic proficiency in Microsoft Excel, exceptional attention to detail and numerical accuracy, and strong communication and presentation skills are essential. The ability to work independently and collaboratively within a team, coupled with an eagerness to learn new technologies, is also required.
• Bonus: Basic knowledge of SQL, familiarity with Power BI, Tableau, or similar Business Intelligence tools, and basic programming knowledge in Python or R are advantageous. Understanding of data visualization principles, and knowledge of databases and relational data concepts, are also beneficial. Academic projects, internships, or portfolio projects involving data analysis are considered a plus.