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- Tasks: Transform complex project data into insightful reports that drive decision-making.
- Company: Join Movar, a leader in innovative project solutions since 2013.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by improving project delivery across major infrastructure sectors.
- Qualifications: Experience in data analytics, Power BI, SQL, and a passion for storytelling with data.
- Other info: Dynamic team environment with mentorship opportunities and a focus on innovation.
The predicted salary is between 50000 - 60000 £ per year.
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.
Our IDEAL Values:
- Integrity – We do the right thing, always.
- Drive – We push boundaries and strive for excellence.
- Empathy – We care deeply about our people and clients.
- Adaptability – We embrace change and thrive in it.
- Loyalty – We stand by each other and our mission.
Movar is seeking a Senior Data Analyst with strong analytical skills and a builder’s mindset, who is comfortable operating within complex project and programme environments. You will transform fragmented, multi-source project data into governance-grade reporting outputs that support decision-making across major infrastructure programmes in rail, water, nuclear, and defence.
Working as part of a centralised Reporting-as-a-Service function, you will help replace inconsistent, manual reporting with structured, Smart Core-aligned reporting products—integrating schedule, cost, risk and change into coherent performance narratives. You will work closely with project controls, data engineering and AI teams to ensure that reporting reflects not just data, but the underlying delivery reality and its implications for programme outcomes.
Core Responsibilities:
- Design and maintain Power BI dashboards and reporting products aligned to programme governance cycles and decision forums.
- Extract, clean and model data across planning, cost, risk and change domains, ensuring consistency with Smart Core structures (e.g. WBS/CBS alignment, common identifiers).
- Contribute to the production of standardised reporting packs with consistent KPI definitions, RAG thresholds and integrated performance views.
- Support the transition from fragmented reporting approaches to a centralised reporting service, reducing manual consolidation effort.
- Develop insight-led reporting narratives that explain performance drivers, highlight anomalies and surface emerging risks.
- Work with project controls teams to reconcile data inconsistencies and ensure reporting reflects true delivery position, not just system outputs.
- Support automation of reporting pipelines and pack generation using Power BI, Azure and emerging Smart Core datasets.
- Collaborate with AI and innovation teams to integrate predictive signals and automated commentary into reporting outputs.
- Engage with clients and delivery teams to understand how reporting is used in practice and adapt outputs accordingly.
- Mentor junior analysts in both technical delivery and project-context awareness.
What You’ll Bring:
- Great amount of experience in data analytics, business intelligence, or project/programme environments (desirable).
- Strong Power BI, SQL and Azure ecosystem capability.
- Ability to translate data into clear, decision-oriented narratives, not just visualisations.
- Appreciation of how data is used within project controls disciplines (planning, cost, risk, change, reporting).
- Comfort working with imperfect, evolving datasets and improving them iteratively.
- Ability to operate within structured governance environments and tight reporting cadences.
- Curiosity about how data supports real-world delivery outcomes, not just analytical correctness.
- A mindset aligned with Movar’s IDEAL values.
Project Data Analyst employer: Movar
Contact Detail:
Movar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analytics. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your skills effectively!
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those involving Power BI and SQL. We love seeing real examples of how you’ve transformed data into actionable insights—this can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who align with our IDEAL values.
We think you need these skills to ace Project Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analytics and project environments. We want to see how your skills align with our IDEAL values and the specific requirements of the Project Data Analyst role.
Showcase Your Skills: Don’t just list your technical skills; demonstrate how you’ve used them in real-world scenarios. Whether it’s Power BI, SQL, or Azure, we love seeing examples of how you’ve transformed data into actionable insights.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your narratives are easy to follow and directly address how you can contribute to improving project delivery at Movar.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community!
How to prepare for a job interview at Movar
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analytics. Be ready to discuss specific projects where you transformed complex data into actionable insights. Highlight your familiarity with Power BI, SQL, and Azure, as these are crucial for the role.
✨Align with Movar's IDEAL Values
Familiarise yourself with Movar's core values: Integrity, Drive, Empathy, Adaptability, and Loyalty. Think of examples from your career that demonstrate how you've embodied these values. This will show that you're not just a fit for the role, but also for the company culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Prepare to discuss how you've handled data inconsistencies or improved reporting processes in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Show Your Curiosity
Movar values curiosity about how data impacts project delivery. Be prepared to ask insightful questions about their current reporting challenges and how you can contribute to solving them. This demonstrates your proactive mindset and genuine interest in the role.