At a Glance
- Tasks: Develop AI-powered workflows and maintain data infrastructure to drive business value.
- Company: Join PMC, a leading treasury and risk management consultancy with a global presence.
- Benefits: Remote work, collaborative culture, and opportunities for professional growth.
- Other info: Embrace diversity and contribute to a culture of learning and development.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: Experience in AI applications, low-code platforms, and data reporting tools.
The predicted salary is between 40000 - 50000 € per year.
About us
If you are looking to join an independent and impartial treasury and risk management consultancy, PMC is your solution. Established for over 34 years, we offer expert advice and practical solutions to financial sponsors and their portfolio companies globally – with offices in New York, London, Madrid and Singapore. We are at an early and exciting stage of embedding AI and data capabilities across the firm. We are looking for a commercially minded AI and data professional to help us understand, build and embed technology that creates tangible value for the business. We need someone who is as comfortable in a conversation with a client-facing team member about what they actually need, as they are building the solution.
You will work across two main areas: developing AI-powered workflows and automations that improve how we work, and maintaining and extending our data infrastructure and reporting capabilities. Day to day this means identifying opportunities, building solutions using low-code and cloud tools, supporting adoption across the firm, and helping colleagues get more value from our technology.
You will work closely with our existing tech and data personnel, as well as teams across the business and our office locations globally.
- Business Analysis and Opportunity Identification
- Engage with teams across the firm to understand their workflows and commercial goals, and translate these into data/automation opportunities.
- Bring a commercial lens: focus on the value being created, not just the tool being built.
- Build trusted relationships and act as a credible thought partner on AI and data.
- AI and Automation Development
- Design and build automation workflows using low-code platforms including n8n and Microsoft Power Platform.
- Develop and deploy AI-powered applications leveraging large language models, including prompt engineering, evaluation, and production reliability.
- Stay current with developments in AI tooling and bring relevant innovations into the business in a practical, considered way.
- Data Infrastructure and Reporting
- Help maintain and extend our Snowflake-based data lake, supporting data quality and accessibility across the business.
- Build and maintain Power BI dashboards and reports that drive commercial decision-making across service lines and geographies.
- Support ongoing data documentation and governance so teams can trust and effectively use the data available to them.
- Rollout, Adoption and Training
- Run training sessions and create practical guides that enable colleagues at all technical levels to get genuine value from AI and data tools.
- Act as an internal champion for data literacy and responsible AI use across the firm.
Hands-on experience working with large language models and building AI-powered applications, including prompt engineering and evaluation.
Experience with low-code workflow automation platforms, ideally n8n and/or Microsoft Power Platform / Power Automate.
Proficiency building Power BI dashboards and reports for business stakeholders.
Bonus - Working knowledge of Python for scripting, data handling, or API integration.
Bonus - Experience with Snowflake as a cloud data platform.
A commercial mindset: you think about business value first, technology second.
Structured, organised approach to running projects with the ability to manage multiple workstreams without losing sight of priorities.
Our office-based approach fosters a highly collaborative and high-performing environment where learning and growth are accelerated. We all help to make PMC Treasury a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people.
If there’s anything we can do in the recruitment process to help you achieve your best, get in touch.
Data Analyst en remoto in London employer: PMC Treasury
At PMC, we pride ourselves on being an independent and impartial consultancy that values collaboration and innovation. Our remote Data Analyst role offers a unique opportunity to work with cutting-edge AI and data technologies while fostering a supportive work culture that prioritises employee growth and diversity. With a focus on creating tangible business value, you will be empowered to build trusted relationships and drive impactful solutions across our global offices.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst en remoto in London
✨Tip Number 1
Network like a pro! Reach out to current employees at PMC through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by understanding PMC's business model and how AI and data play a role in it. Be ready to discuss how your skills can create value for them, not just what you can do with technology.
✨Tip Number 3
Showcase your hands-on experience! Bring examples of your previous work with low-code platforms or Power BI dashboards to the interview. Demonstrating your practical skills will 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, it shows you’re genuinely interested in joining the PMC team.
We think you need these skills to ace Data Analyst en remoto in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI, data infrastructure, and automation tools like n8n and Power BI. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your commercial mindset can add value to our team. Let’s see your personality come through!
Showcase Relevant Projects:If you've worked on projects involving AI or data analytics, don’t hold back! Share specific examples that demonstrate your hands-on experience and problem-solving skills. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at PMC Treasury
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like n8n, Microsoft Power Platform, and Power BI. Familiarise yourself with their functionalities and think of examples where you've used them to create value in previous roles.
✨Showcase Your Commercial Mindset
Prepare to discuss how your work has directly contributed to business goals in the past. Think about specific instances where your data analysis or automation projects led to tangible improvements or savings for your previous employers.
✨Engage in Role-Play Scenarios
Since the role involves working closely with client-facing teams, practice how you would approach conversations with them. Role-play scenarios where you identify their needs and translate those into actionable data solutions, demonstrating your ability to build trusted relationships.
✨Stay Current with AI Trends
Research the latest developments in AI tooling and be ready to discuss how these innovations could be applied at PMC. Showing that you’re proactive about staying updated will highlight your commitment to bringing value through technology.
