At a Glance
- Tasks: Lead data migration and reporting for Oracle Cloud ERP programmes.
- Company: Join a leading global consulting firm with a dynamic work culture.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Mentor junior consultants and collaborate with cross-functional teams.
- Why this job: Make an impact on large-scale transformations while developing your leadership skills.
- Qualifications: Experience in Oracle Cloud data migration and strong stakeholder management.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a leading global consulting firm delivering large-scale Oracle Cloud transformation programmes for enterprise clients across multiple industries. They are looking for an experienced Oracle Cloud Data Lead to drive data migration and reporting workstreams across complex ERP implementations. This role will operate at Manager grade within their business and can be worked out of any of their UK sites on a hybrid (3 day per week) basis.
Key Responsibilities
- Lead data migration and reporting activities across Oracle Cloud ERP programmes
- Manage end-to-end data workstreams from strategy and design through to deployment and support
- Coordinate programme delivery, governance, risks, issues, and progress tracking
- Work with cross-functional teams to gather requirements and define migration approaches
- Produce and maintain technical documentation including data mapping and migration plans
- Oversee testing activities including SIT, UAT, and validation processes
- Mentor and support junior consultants within the delivery team
- Facilitate client workshops and stakeholder meetings
Required Experience
- Strong stakeholder and client management skills
- Experience leading Oracle Cloud data migration workstreams
- Solid understanding of Oracle databases, Oracle RDBMS
Oracle Data Lead in London employer: Lancaster Resources
Join a leading global consulting firm that champions innovation and collaboration, offering a dynamic work culture where your expertise as an Oracle Data Lead will be valued. With a strong focus on employee growth, you will have access to extensive training and mentorship opportunities, all while enjoying the flexibility of hybrid working from any UK site. This is not just a job; it's a chance to be part of transformative projects that make a real impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Oracle Data Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lancaster Resources!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Oracle Data Lead at Lancaster Resources.
✨Leverage Professional Networks
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 Lancaster Resources.
✨Apply Directly through Our Website
When you find a suitable opening like Oracle Data Lead at Lancaster Resources, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Oracle Data Lead in London
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 Lancaster Resources, 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 Lancaster Resources. 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 Lancaster Resources
✨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!
✨Showcase Your Projects
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 Lancaster Resources!
✨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.
