At a Glance
- Tasks: Support data-driven solutions and collaborate on major projects with multidisciplinary teams.
- Company: Join Arcadis, a global leader in sustainable design and consultancy.
- Benefits: Flexible working, competitive salary, and a commitment to equality and inclusion.
- Other info: Dynamic work environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact by solving complex challenges with innovative data solutions.
- Qualifications: Experience in data engineering or analytics, and strong problem-solving skills.
The predicted salary is between 35000 - 45000 £ per year.
As an Arcadian, you already help us deliver world leading sustainable design, engineering, and consultancy solutions for natural and built assets. You are part of our global business comprising 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can continue to solve the world’s most complex challenges and deliver more impact together.
Arcadis is seeking a Data Analyst: Project Delivery to support the delivery of data‑driven solutions across major projects, programmes, and enterprise functions. Working as part of multidisciplinary teams, you will support the collection, assurance, transformation, and analysis of complex datasets to enable reporting, governance, and decision‑making. Using tools such as Microsoft Fabric, you will contribute to building reliable, efficient data pipelines and products. The role combines strong technical delivery with collaboration, including engaging with stakeholders to resolve data queries, improve data quality, and enhance overall product performance through optimisation, automation, and secure data management practices. As part of an existing project pipeline you will be required to be in office a minimum of 2 days a week.
Role Accountabilities
- Support the collection, ingestion, and transformation of data from multiple sources into structured data platforms
- Develop and maintain data pipelines and workflows using tools such as Microsoft Fabric and associated technologies
- Apply data assurance practices to ensure accuracy, completeness, and consistency of datasets
- Support the analysis and preparation of data to enable reporting, dashboards, and programme governance
- Identify opportunities to improve data performance through optimisation and automation
- Embed considerations for data quality, information security, and cyber security within data solutions
- Collaborate with analysts, engineers, and project teams to understand data requirements and resolve issues
- Respond to stakeholder queries and support troubleshooting of data-related issues
- Maintain clear documentation of data processes and structures
- Contribute to continuous improvement of data management practices and standards
Qualifications & Experience
- Experience or knowledge of data engineering, data management, or analytical environments
- Exposure to working with complex datasets within project, programme, or enterprise contexts
- Experience of data engineering for project & programme delivery context (e.g. in a PMO), and/or enterprise level in a highways, rail or transportation sector
- Understanding of data quality, data assurance, and structured data environments
- Familiarity with data tools or platforms (e.g. Microsoft Fabric, Power BI, SQL, or equivalent)
Training / Background
- Data engineering, data analytics, or computer science disciplines
- Project, PMO, or project controls environments involving structured data and reporting
- Digital or technology‑focused roles involving data processing or automation OR equivalent demonstrable experience working with data in complex environments
- Awareness of information security and cyber security principles in data handling
- Strong analytical and problem‑solving skills
- Ability to engage with stakeholders and communicate clearly to resolve data issues
- Interest in automation, optimisation, and continuous improvement
Our Commitment to Equality, Diversity, Inclusion & Belonging
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.
Data Analyst - Project Delivery in Manchester employer: ARCADIS Group
Arcadis is an exceptional employer that fosters a collaborative and inclusive work culture, where every employee plays a vital role in delivering sustainable solutions that enhance quality of life. With a commitment to equality, diversity, and continuous improvement, Arcadis offers robust opportunities for professional growth and development, supported by a global network of over 34,000 colleagues. Working as a Data Analyst in this dynamic environment not only allows you to engage with cutting-edge data technologies but also empowers you to contribute meaningfully to complex projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Project Delivery in Manchester
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We think you need these skills to ace Data Analyst - Project Delivery in Manchester
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 ARCADIS Group, 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 ARCADIS Group. 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 ARCADIS Group
✨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!
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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 ARCADIS Group!
✨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.
