Portfolio Analyst in Tadley

Portfolio Analyst in Tadley

Tadley Full-Time 39500 - 59350 £ / year (est.) Home office (partial)
All The Top Bananas

At a Glance

  • Tasks: Transform data into insights and build impactful dashboards for decision-making.
  • Company: Join AWE, a leader in digital data solutions with a collaborative culture.
  • Benefits: Enjoy a 9-day working fortnight, competitive salary, and generous leave policies.
  • Other info: Flexible working options and excellent career development opportunities await you.
  • Why this job: Make a real impact by shaping the future of data analytics at AWE.
  • Qualifications: Strong data literacy, analytical skills, and experience with reporting tools required.

The predicted salary is between 39500 - 59350 £ per year.

Location: Aldermaston (Hybrid, by agreement with Line Manager)

Package: £39,500 - £59,350 (depending on your suitability, qualifications and level of experience)

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Turn Data into Decisions

At AWE, our P3M Digital, Data, Tools and Systems team enable informed decision-making across some of the UK's most complex projects, programmes and portfolios. We're looking for a Portfolio Analyst who is passionate about data, analytics and continuous improvement. This is an opportunity to combine project, programme and portfolio delivery knowledge with modern digital tools, transforming data into meaningful insight that drives better outcomes.

What You'll Do:

  • Build impactful dashboards and reports using digital solutions.
  • Analyse portfolio, programme and project data to identify trends, risks, opportunities and emerging issues.
  • Work with stakeholders to understand business requirements and turn data into actionable insight.
  • Improve reporting and management information through automation, innovation and continuous improvement.
  • Help shape the future of P3M Digital and Data across AWE.

What We're Looking For:

  • Strong data literacy and analytical thinking.
  • Experience using data and reporting tools to create meaningful visualisations and insights.
  • The ability to translate complex data into clear, actionable recommendations.
  • Prior experience in a project or programme environment.
  • Strong stakeholder engagement and communication skills.
  • A curious mindset with a passion for solving problems and improving how information is used.
  • An interest in coding, automation, data engineering or AI-enabled analytics.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

  • Building with tools within the Microsoft Suite (Power BI, Power Automate, Power Query) and others.
  • Basic understanding of programming languages such as Python, SQL or DAX.
  • Portfolio, programme or project delivery experience.

Why Join Us?

We're looking for curious, digitally minded people who want to make an impact. Whether you're already developing data solutions or looking to grow your technical skills, you'll have the opportunity to help shape the future of P3M insights, reporting and analytics at AWE.

Work hard, be rewarded:

We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including:

  • 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
  • Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
  • Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
  • Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
  • Employee Assistance Programme and Occupational Health Services.
  • Life Assurance (4 x annual salary).
  • Discounts - access to savings on a wide range of everyday spending.
  • Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

Portfolio Analyst in Tadley employer: All The Top Bananas

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All The Top Bananas

Contact Details:

All The Top Bananas Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Portfolio Analyst in Tadley

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Portfolio Analyst at All The Top Bananas, 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 Portfolio Analyst in Tadley

Data Literacy
Analytical Thinking
Data Visualisation
Stakeholder Engagement
Communication Skills
Problem-Solving
Automation

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!

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Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas

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 All The Top Bananas!

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.