At a Glance
- Tasks: Analyse data to uncover insights and support strategic decisions.
- Company: Join a dynamic team focused on data-driven business solutions.
- Benefits: Comprehensive training, mentorship, and career growth opportunities.
- Other info: Collaborative environment with exposure to modern analytics tools.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Bachelor's degree in relevant fields; recent grads welcome!
The predicted salary is between 25000 - 32000 £ per year.
- Data & Business Insights Analyst
- We are looking for a detail‑oriented and analytical
Data & Business Insights Analyst to join our team.
This entry‑level role is ideal for individuals who are passionate about data analysis, business intelligence, and using data to support strategic decision‑making.
You will work with cross‑functional teams to collect, analyze, and visualize data, helping identify trends and opportunities that drive business performance.
Key Responsibilities
- Collect, clean, and analyze data from various business sources.
- Assist in creating reports, dashboards, and data visualizations.
- Support business teams by providing data‑driven insights and recommendations.
- Monitor key performance indicators (KPIs) and identify trends or anomalies.
- Conduct market, customer, and operational data analysis.
- Help maintain data accuracy, consistency, and quality.
- Collaborate with business stakeholders to understand reporting requirements.
- Assist in documenting data analysis processes and business metrics.
- Support ad hoc reporting and analytical projects as required.
- Stay up to date with data analytics tools and industry best practices.
- Required Qualifications
- Bachelor's degree in Data Science, Business Analytics, Computer Science, Information Technology, Statistics, Mathematics, Economics, Business Administration, or a related field.
- Recent graduates are encouraged to apply.
- Basic understanding of data analysis and statistical concepts.
- Proficiency in Microsoft Excel or Google Sheets.
- Strong analytical, problem‑solving, and critical‑thinking skills.
- Good written and verbal communication skills.
- Ability to organize, interpret, and present data effectively.
- Willingness to learn new analytical tools and technologies.
- Preferred Skills
- Basic knowledge of SQL for querying databases.
- Familiarity with Power BI, Tableau, or Google Looker Studio.
- Basic knowledge of Python or R for data analysis is an advantage.
- Understanding of business intelligence (BI) concepts and KPIs.
- Familiarity with data visualization techniques.
- Knowledge of Git or other version control systems is a plus.
- Understanding of Agile methodologies is an advantage.
What We Offer
- Comprehensive training and mentorship from experienced data and business professionals.
- Hands‑on experience with real‑world business intelligence and analytics projects.
- Exposure to modern data analytics and visualization tools.
- Supportive and collaborative work environment.
- Professional development and certification opportunities.
- Performance‑based career growth.
- Equal Opportunity Employer
We are committed to fostering an inclusive and growth‑oriented workplace and encourage applications from all qualified candidates.
Platform Support Engineer
We are seeking a proactive and customer‑focused Platform Support Engineer to join our team.
This entry‑level role is ideal for individuals who are passionate about technology, troubleshooting, and providing technical support.
You will assist in maintaining platform performance, resolving user issues, and supporting the smooth operation of applications and systems while gaining hands‑on experience with modern support tools and technologies.
Key Responsibilities
- Provide first‑line technical support for platform and application‑related issues.
- Assist in troubleshooting software, system, and user‑reported problems.
- Monitor platform performance and report incidents or service disruptions.
- Escalate complex technical issues to senior engineers when necessary.
- Maintain accurate records of support requests, resolutions, and system updates.
- Assist with user account management, access requests, and basic system configurations.
- Support software updates, deployments, and routine maintenance activities.
- Collaborate with development, QA, and infrastructure teams to resolve technical issues.
- Help create and maintain technical documentation and user guides.
- Follow established support processes, service level agreements (SLAs), and security best practices.
- Required Qualification
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related field.
- Recent graduates are encouraged to apply.
- Basic understanding of computer systems, operating systems, and networking concepts.
- Familiarity with Windows and/or Linux operating systems.
- Strong analytical and troubleshooting skills.
- Good verbal and written communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn new technologies and support processes.
- Preferred Skill
- Basic knowledge of SQL and relational databases.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Understanding of ticketing systems such as Jira, Service Now, or Zendesk.
- Basic knowledge of APIs and web technologies.
- Familiarity with version control systems such as Git.
- Understanding of ITIL principles or IT service management concepts is an advantage.
What We Offer
- Comprehensive training and mentorship from experienced support engineers.
- Hands‑on experience with enterprise platforms and cloud technologies.
- Opportunities to work on real‑world technical support and operational projects.
- Supportive and collaborative work environment.
- Professional development and certification opportunities.
- Performance‑based career growth.
- Equal Opportunity Employer
We are committed to fostering an inclusive and growth‑oriented workplace and encourage applications from all qualified candidates.
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Junior Data & Insights Analyst in England employer: Fortray Global Service Limited
Fortray Global Service Limited is an excellent employer for aspiring web developers, offering a dynamic internship experience in the United Kingdom. With a strong focus on mentorship and collaboration, interns gain invaluable hands-on experience while working on real-world projects alongside seasoned professionals. The supportive work culture fosters personal and professional growth, making it an ideal place for those looking to kickstart their careers in web development.
Contact Details:
Fortray Global Service Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data & Insights Analyst in England
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Fortray Global Service Limited when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Fortray Global Service Limited.
✨Networking Through University Career Services
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Fortray Global Service Limited’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data & Insights Analyst in England
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Fortray Global Service Limited, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Fortray Global Service Limited aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Fortray Global Service Limited
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
