At a Glance
- Tasks: Lead the migration of data flows to a cloud platform and ensure smooth project delivery.
- Company: YunoJuno, a forward-thinking company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team and enjoy a collaborative work environment.
- Why this job: Be at the forefront of cloud technology and make a significant impact on data management.
- Qualifications: Proven project management experience and strong problem-solving skills.
The predicted salary is between 55000 - 65000 £ per year.
YunoJuno is seeking an experienced Project Manager to lead the transition of about 1,100 data wrangling flows from an on-premise data platform (Trifacta) to a new cloud-based platform. The migration will be delivered in three waves and must be completed by year end as the current product is out of support.
You will report to the Programme Director and collaborate with multiple teams, ensuring delivery, governance, and timely executive updates while proactively identifying risks and resolving issues.
Cloud Data Migration Program Lead employer: YunoJuno
Join our dynamic team in Cheltenham as a Business Analyst, where you'll gain invaluable experience supporting Group IT projects in a collaborative and innovative environment. We prioritise employee growth through hands-on training and mentorship, ensuring you develop your analytical skills while contributing to meaningful projects that enhance data quality and stakeholder engagement. With a supportive work culture and competitive pay, this is an excellent opportunity for graduates eager to make an impact in the business analysis field.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Migration Program Lead
✨Get Involved in Data Science Meetups
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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 YunoJuno.
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We think you need these skills to ace Cloud Data Migration Program Lead
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 YunoJuno, 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 YunoJuno. 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 YunoJuno
✨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 YunoJuno!
✨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.
