At a Glance
- Tasks: Lead data projects and drive transformation using cutting-edge technologies.
- Company: Dynamic tech firm in London with a hybrid work culture.
- Benefits: Competitive contract rate, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team focused on impactful data solutions.
- Why this job: Shape the future of data and analytics while working with innovative tools.
- Qualifications: 10+ years in IT with strong project management and data expertise.
The predicted salary is between 63000 - 77000 £ per year.
We are hiring for Data Project Manager in London, UK - Hybrid - Contract
NOTE: Looking for candidates from UK only with valid work permit.
Skills
- Technical Expertise
- Strong understanding of
Data Warehousing (Snowflake) and Data Engineering concepts.
- Experience with
Business Intelligence and Reporting Platforms such as Power BI, Tableau, or similar tools.
- Knowledge of
Cloud Technologies including Azure, AWS, or Google Cloud Platform (GCP).
- Understanding of
Data Governance, Data Quality, and Master Data Management frameworks.
- Familiarity with
Artificial Intelligence, Machine Learning, and Generative AI solutions.
- Experience delivering enterprise-scale data and analytics transformation programs.
- Project Management Skills
- Project planning, execution, and delivery management.
- Stakeholder engagement and executive communication.
Qualifications
- Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related discipline.
- 10+ years of overall IT experience with at least
5+ years of experience managing Data, Analytics, AI, or Cloud transformation projects .
• Professional certifications such as
- PMP
- PRINCE2
- SAFe Agile Certification
- Agile Project Management certifications (preferred)
- #J-18808-Ljbffr
Data Project Manager employer: Test Yantra
As a Senior AI Architect at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and access to cutting-edge technology, all within a vibrant location that fosters both personal and professional growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI and making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Project Manager
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Test Yantra before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Test Yantra.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Test Yantra.
We think you need these skills to ace Data Project Manager
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Test Yantra, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Test Yantra, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Test Yantra’s attention and show the tangible impact of your work.
How to prepare for a job interview at Test Yantra
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Test Yantra.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Test Yantra.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Test Yantra.
