At a Glance
- Tasks: Lead data migration and transition projects, ensuring accuracy and integrity of data.
- Company: Join a dynamic team in a fully remote role with a focus on innovation.
- Benefits: Competitive hourly rate, flexible working, and opportunities for professional growth.
- Other info: Exciting opportunity to work with cutting-edge technologies and develop your career.
- Why this job: Make a real impact by managing critical data processes in a fast-paced environment.
- Qualifications: Experience in data migration, SQL, and strong analytical skills required.
The predicted salary is between 64000 - 96000 £ per year.
Duration – 7-month assignment, based in Leatherhead, Surrey
Work pattern - Fully remote working.
Security - BPSS
Rate - £80 p/hr
A critical role within this team is the Data Lead, who will report to the Senior Transition Manager and support develop, test and transition for the six mobilisations. The role is for a meticulous, thorough and organised data analyst who can work with BAs to ensure the data dictionary is created (and mapped to current), development and test data requirements are met, data sources are identified and managed through version control, and data migration and/or transition approaches and plans are thorough and delivered.
Responsibilities:
- Identify, create and maintain Data Dictionary required to deliver new requirements, ensuring this is mapped to ‘as-is’ Data Dictionary to enable data migration and transition planning to be executed.
- Review contractual specifications, detailed business requirements and functional requirements to provide a change/update/remove gap analysis of current vs new.
- Coordinate new data sources with client counterpart(s) ensuring these are stored and utilised consistent with the security marking and/or commercial sensitivity.
- Advise and assist in creating synthetic data for development and testing if actual data sets are not available or not appropriate for the environment.
- Identify, create and lead required governance and stakeholder relationships to ensure data used in development and testing is accurate, appropriate and handled correctly.
- Support Senior Transition Manager and Technical Project Manager in ensuring detailed transition planning has clear, realistic and achievable data migration and data transition tasks and milestones.
- Prepare all required data for transition to live.
- Take the lead in any required hypercare data reconciliation exercises.
- Support Project Coordinator and Technical PM in identifying data risk, issues and assumptions for RAID log.
- Support Technical PM in Quality Gateway management, including providing any data products required for the gateway assessments.
Experience Requirements:
- Experience of working in a Programme environment involving data migration and transition.
- Experience of data used in CAFM software and/or delivering FM contracts.
- Experience of working with SQL and MS Excel Pivots/Macros.
- Experience of gathering and presenting analytics, reports, and findings back to internal and external stakeholders.
- Experience of producing materials outlining the transition of data from source to source.
- Experience of systemised processes/workflows ensuring there is a clear synergy between data flows and business flows.
- Experience being responsible for the integrity of the data being put forward to developers for use in varying systems.
- Experience leveraging data for business insights and decision-making while ensuring data integrity and security is upheld.
- Experience of working in fast-paced projects with fixed go-live dates.
Technical Skills/Knowledge:
- Intermediate in MS Excel, including working understanding of macros and Pivot tables.
- Basic understanding of SQL is a benefit.
- Some experience using Jira KANBAN or other digital KANBAN.
- Good working knowledge of software, integration and hosting technologies (Azure and IaaS virtualized).
Data Lead in London employer: Evolve Technical Recruitment
As an Offshore Agent at our Bristol location, you will be part of a dynamic team dedicated to delivering high-quality marine works while prioritising safety and sustainability. We foster a collaborative work culture that encourages professional growth through training and mentorship, ensuring that every employee has the opportunity to excel in their career. With periodic offshore trips, you will gain unique experiences that enhance your skills and contribute to meaningful projects in the South West.
Contact Details:
Evolve Technical Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in London
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We think you need these skills to ace 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!
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Craft a Tailored Cover Letter:For a full-time role at Evolve Technical Recruitment, 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 Evolve Technical Recruitment. 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 Evolve Technical Recruitment
✨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
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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.