Business Intelligence Graduate
Listed on 2026-01-27
-
Business
Data Analyst
At Forth Ports, we keep trade, logistics, and infrastructure moving. Our emerging talent roles are central to this mission, developing the skills that power our economy and connect communities across the country. Joining our Graduate Programme means gaining valuable experience in a dynamic, forward‑thinking environment, while developing the capabilities that will support long‑term career growth. You’ll have the opportunity to make a meaningful impact—helping businesses thrive, supporting the smooth operation of our ports, and contributing to projects that shape the UK’s infrastructure and renewable energy future.
With our commitment to reach carbon neutrality by 2032 and Net Zero by 2042, we’re investing heavily in sustainable and digital technologies, including major growth in offshore wind and greener port operations. For you, this means joining a business that’s evolving, ambitious, and making a real difference.
Business Intelligence Graduate – Forth Ports Ltd, 100 Ocean Drive, with placement at Port of Leith or Port of Grangemouth. Compensation: £32,000.
Start Date:
August 2026. Closing Date:
Monday 23rd February 2026.
- Learn how to gather, refine, and translate business requirements into BI and AI solutions
- Build and maintain high‑quality datasets that support robust, repeatable reporting and analytics
- Develop skills in ensuring data integrity, quality, security, and governance
- Communicate insights effectively through dashboards, reports, and presentations
- Work with stakeholders to improve their BI capability through training and engagement
- Gain exposure to advanced analytical techniques such as statistical modelling, forecasting, and AI applications
- Stay up to date with emerging technologies through research, networking, and continuous development
- Apply transparent, well‑documented, and repeatable analytical methods
- Progressively take on more responsibility, working towards leading end‑to‑end BI projects
- Structured learning and development pathway linked to your personal and professional growth, supporting long‑term career progression
- Competitive starting salary with regular reviews to recognise your performance and development
- Discretionary group bonus
- Generous annual leave entitlement of 34 days including bank holidays
- Defined contribution pension scheme with up to 16.5% joint contribution plus life assurance at 4x salary
- Health promotion events and employee wellbeing initiatives to support your physical and mental wellbeing
- Employee Assistance Programme (EAP) providing free, confidential 24/7 telephone support for you and your family
- On‑site Occupational Health Team with access to professional support and referrals to services such as counselling, physiotherapy and free flu jabs
- An annual Christmas thank‑you gift of a complimentary turkey or meat‑free alternative for all employees
- Gym Flex health club memberships offering discounted access to gyms including Nuffield Health, Pure Gym, Anytime Fitness, The Gym Group, and selected local gyms
- Cycle to Work scheme to support affordable, sustainable commuting
- On‑site free parking available for all employees
- Attractive family‑friendly policies, including enhanced maternity cover
- Employee discount platform providing savings on UK‑wide restaurants, retail, car rentals, days out, and holidays
We want to build on our success and to do this we know that we must continue to invest in our future business leaders. We are looking for someone who is curious, analytical, and eager to learn, with a genuine interest in using data to solve real business problems. You’ll be proactive, collaborative, and comfortable working with a range of stakeholders, with a strong desire to develop both your technical skills and your ability to communicate insights clearly and responsibly.
- A degree in a numerate discipline (e.g. Data Science, Mathematics, Business Analytics) with a minimum 2:1 achieved / expected
- Proficiency in Power BI, SQL, and Python (or similar BI/analytics tools)
- Strong analytical and problem‑solving skills; ability to translate business needs into data solutions
- Curiosity, adaptability, and…
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