Computer Science Analyst in Reading

Computer Science Analyst in Reading

Reading Full-Time 28000 - 28000 £ / year (est.) Home office (partial)
Give a Grad a Go

At a Glance

  • Tasks: Analyse data, automate processes, and support financial growth in a dynamic tech environment.
  • Company: Join Verizon Business, a top global communications technology leader.
  • Benefits: Earn £28,000 plus bonuses, enjoy 25 days holiday, and access health benefits.
  • Other info: Hybrid role with vibrant offices in Reading and excellent career progression.
  • Why this job: Kickstart your career with innovative projects and exceptional training opportunities.
  • Qualifications: Degree in Computer Science or relevant experience; familiarity with data analysis tools.

The predicted salary is between 28000 - 28000 £ per year.

Company profile - Multinational Technology Corporation

In this Analyst job in Reading, you will be joining Verizon Business, one of the largest communications technology companies in the world, ranked in the top 30 of the 2022 Fortune 500.

Verizon's goal is to inspire the future through technology, by providing its global enterprise clients with the most innovative technology products, in order to help them grow their businesses and enhance digital transformation.

Offering products within Cyber Security, Internet of Things (Io T), Artificial Intelligence, and many more, Verizon is at the centre of the communications technology revolution.

This business is transforming the way we connect across the globe; They're a diverse network of people driven by their shared ambition to shape a better future with technology.

With global office locations, and an exceptional graduate programme, this tech giant are looking for a Computer Science Analyst to join their expert Finance team.

Job description - Computer Science Analyst - Reading

In this Graduate Analyst position in Reading, you'll gain exposure to a broad range of analytical projects and responsibilities across the finance and accounting team.

Working closely with your line manager, and being enrolled onto their bespoke graduate training plan, you'll pick up invaluable practical skills and develop your career in data analysis.

In this role, you'll have the opportunity to build and innovate, analyse data, automate processes, ensure compliance and add value to accounting processes.

This person will have the opportunity to support Verizon's continued growth in digital finance.

Key responsibilities - Computer Science Analyst - Berkshire

  • In this Junior Analyst role in Berkshire, your responsibilities will include:
  • Building a good understanding of the core purpose of the finance / accounting function by getting involved in varied activities
  • Gaining an understanding of internal accounting policies, SOX controls and relevant GAAP to ensure complete compliance
  • Using various digital systems and software to perform a wide variety of data analysis
  • Investigate automation opportunities using digital software tools where possible
  • Identify opportunities for process improvements to improve controls, efficiency and timeliness
  • Support group and local statutory accounting and audit process (if applicable)
  • Getting involved in ad hoc projects as deemed appropriate
  • Developing an understanding of the business environment of Verizon and its customers, alongside 5G Private Network, Professional Services, Unified Communications, & Security services solutions
  • Gaining practical applications of digital and analytical tools
  • Job requirements - Computer Science Analyst
  • A driven graduate with a degree in Computer Science, or proficient experience working with the below software
  • Confident with some if not all of the following tools: VBA, VBS, SQL, Python, Qlik, Java and
    KNIME
  • Comfortable analysing data, with previous experience managing and analysing large data sets
  • Located in, or local to Reading, Berkshire - this is a hybrid role with at least 2-3 days per week in the office.
  • Driven and ready to learn
  • Previous experience in a relevant position in analytics is highly beneficial but not necessary
  • The ability to work both independently and as part of a large, complex global team
  • Confident communicating with clients and internal teams; reporting and speaking on findings
  • The ability to manage multiple projects at once
  • Comfortable with technology (G Suite, Microsoft Office in particular) and learning new systems
  • Confident in seeking out opportunities for process improvements

Benefits of the job - Computer Science Analyst

  • A great graduate salary of £28,000 with additional bonus for individual performance
  • Vibrant offices in Reading, with great facilities. You will work on a hybrid working model with 2-3 days per week at the office.
  • Amazing learning and training opportunities on their bespoke training programme
  • Fantastic progression
  • 25 days holiday
  • BUPA health cash-back plan
  • The opportunity to kickstart your career as an Analyst in a nurturing and progressive environment
  • The chance to work for one of the world’s largest communications technology companies
  • #J-18808-Ljbffr

Computer Science Analyst in Reading employer: Give a Grad a Go

As a Graduate Operations Analyst at our London-based hedge fund, you will be part of a dynamic and rewarding work environment that prioritises employee growth and recognition. With a clear progression plan and bonus opportunities, we foster a culture of excellence where your contributions are valued and rewarded. Join us to learn from industry experts and develop your skills in a fast-paced financial services setting, all while enjoying the unique advantages of working in one of the world's leading financial hubs.

Give a Grad a Go

Contact Details:

Give a Grad a Go Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Computer Science Analyst in Reading

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Give a Grad a Go!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Computer Science Analyst at Give a Grad a Go.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Give a Grad a Go.

Apply Directly through Our Website

When you find a suitable opening like Computer Science Analyst at Give a Grad a Go, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Computer Science Analyst in Reading

Data Analysis
Automation Skills
Understanding of SOX Controls
Knowledge of GAAP
VBA
VBS
SQL

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Give a Grad a Go, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Give a Grad a Go. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Give a Grad a Go

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Give a Grad a Go!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.