At a Glance
- Tasks: Join our team to solve real-world challenges using data-driven insights across various sectors.
- Company: Be part of a global leader in professional services focused on sustainability.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Embrace a diverse and inclusive culture with excellent career development opportunities.
- Why this job: Make a tangible impact on future energy, transport, and urbanisation projects.
- Qualifications: Strong skills in data analysis, Python, SQL, and experience with Tableau or Power BI.
The predicted salary is between 45000 - 55000 £ per year.
Join a global professional services leader, committed to solving the world's biggest challenges across energy, transport, utilities and urbanisation. We are seeking curious minds with a passion for data-driven problem solving to join and shape our growing Data & Insights team. You will support the delivery of innovative solutions across sectors such as rail, highways, telecoms, and future energy, delivering tangible impacts for generations to come.
You'll have the freedom to explore your interests across diverse projects and sectors, with support and encouragement to develop your skills and experience. We embrace a start-up mentality within a global corporate framework, encouraging autonomous decision making, fresh ideas and agile thinking.
What we do
- We help our clients unlock the full potential of their data by combining management and analytical expertise with cutting-edge technology solutions.
- Analytical Data Management: We bring the latest in cloud, software, and data best practices to our clients to develop clean and expressive datasets, tightly aligned to their goals and ambitions.
- Digital Asset Management: We combine our knowledge of the infrastructure lifecycle across industries like water, power, rail, and highways, and our expertise in data-driven insights to help our clients make decisions about the stewardship of their assets.
- Intelligence: We develop world-class solutions in mobility, logistics and GIS using high-volume data sources such as mobile network data.
Clear and concise presentation of results and concepts through a variety of mediums, tailoring the level of technical content to the audience.
Technical Leadership & Project Delivery
- Providing technical project delivery by designing solutions, writing code, and conducting analysis.
- Using data and management techniques to improve operational performance.
- Providing technical feedback and identifying opportunities to use data to derive insights and shape technical solutions.
- Acting as Project Manager on appropriate projects.
Continuous Learning & Growth
- Seek out on-the-job and external training opportunities to improve your technical and management capabilities, with support from the team.
- You are comfortable being part of a growing team that is building a business.
- You have a collaborative working style and understand the importance of diversity and inclusion in the workplace.
Previous Experience
- Due to the diversity of our projects, a range of skills and experience is beneficial to this role.
Technical Capabilities
- Strong data manipulation and analysis skills.
- Programming using Python and SQL (additional languages are a benefit).
- Dashboarding using Tableau and/or Power BI and data visualisation using common data science packages (Matplotlib, Seaborn, kepler).
Management Capabilities
- Business acumen including account management, relationship building, and commercial awareness.
- Business Analytics experience, using data and statistics to derive insights and make informed decisions.
- Experience in Agile project management and effective implementation of Agile principles.
We are a team of smart, innovative, and creative problem solvers. Challenge us and help us come up with new solutions to ensure water, energy and urbanisation are made sustainable for generations to come.
We will support your needs by giving you the tools, training and support to do your best work and then recognise your achievements. Equality, diversity, and inclusion lies at the heart of our team culture. We believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, national origin, and experience, and we recognise the value this brings our collective team approach to solving challenging client problems.
Our internal working groups, such as GHD Young Professionals, Pride Alliance and Women in GHD (WING), enable every employee to shape the conversation and help implement initiatives to make GHD a better place to work for all. Inclusion is hugely important to us, and we want to ensure every team member can balance work around their unique personal circumstances.
In addition to a competitive salary, we offer a wider variety of benefits to support you, including 25 days paid leave with opportunity to purchase additional leave, matched pension contributions and family-friendly flexible working. As an employee-owned business, you will have the opportunity to obtain shares in GHD, empowering you to shape and share the company's long-term success.
We will advocate for your professional development and provide you with technical development opportunities and mentoring programmes to help you grow and improve your abilities. We actively promote inclusion and equity focussed initiatives, with the example of our STEMAZING partnership, which offers STEM outreach programmes for women.
Working Location
This is a hybrid role, with an expectation of an average of 3 days per week working at our central London office. We are keen to hear about your motivation for joining the Data & Insights team. If you are interested in this position, please upload your CV along with a 200-word statement outlining what draws you to our work applying data-driven approaches within the built environment.
BI Consultant/Data Analyst in London employer: GHD
At GHD, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that prioritises technical excellence and professional growth. As an Engineering Manager in our London office, you'll enjoy flexible hybrid working, access to industry-leading specialists, and clear progression opportunities while leading impactful water and infrastructure projects. Join us to be part of a supportive environment that champions safety, quality, and sustainability, ensuring your career development is at the forefront of our mission to create a sustainable future for our communities.
StudySmarter Expert Advice🤫
We think this is how you could land BI Consultant/Data Analyst in London
✨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 GHD!
✨Show Off Your Projects
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✨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 GHD.
✨Apply Directly through Our Website
When you find a suitable opening like BI Consultant/Data Analyst at GHD, 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 BI Consultant/Data Analyst in London
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 GHD, 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 GHD. 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 GHD
✨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 GHD!
✨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.
