At a Glance
- Tasks: Lead data management for a major transition project, ensuring accuracy and integrity.
- Company: Join KBR, a global leader in engineering and services with a collaborative culture.
- Benefits: Competitive pay, professional growth opportunities, and a chance to work on impactful projects.
- Other info: Fast-paced environment with significant career advancement potential.
- Why this job: Be part of a dynamic team transforming data processes for a large public sector client.
- Qualifications: Experience in data migration, SQL, and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
Technical Staffing Resources (TSR) are the in-house agency and master vendor for KBR, a leading global engineering, construction, and services company. KBR supports the hydrocarbon and government services markets on six continents, offering challenging assignments on some of the world's largest and most complex projects.
KBR are a global technical solutions provider with 28,000 employees worldwide, operating in 34 countries and delivering to customers in 80 countries. They work collaboratively with their wide customer base to deliver solutions that strive to create a better, safer, and more sustainable world.
KBR's Estates Intelligence division specialises in enabling clients to make informed decisions about the operational and strategic management of their estates and asset portfolios. The division utilises the 6 As Methodology to deliver business benefits by deploying their Viaverse platform, which enables:
- Aggregation of data
- Automation of transactional processing and operational data flows
- Assurance of process and data integrity
- Audit of processing and data
- Analytics to offer management information and insight
KBR will be running a mobilisation programme to onboard a new Client into their Viaverse solution, which acts as the single source of truth for ensuring consistent, performant, and efficient lifecycle management of assets across public-facing and back-office sites. The Programme will deliver a scaled transition from current service providers to new services through multiple workstreams, including design, build, test, transition, and hypercare, likely involving significant data transition and operational change for the client.
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 requirements, 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.
Data Lead Responsibilities:
- Identify, create, and maintain Data Dictionary required to deliver new requirements, ensuring it is mapped to as-is Data Dictionary for data migration and transition planning.
- Review contractual specifications, detailed business requirements, and functional requirements to provide a gap analysis of current vs new.
- Coordinate new data sources with client counterparts, ensuring they are stored and utilised consistently with 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 appropriate.
- Identify, create, and lead required governance and stakeholder relationships to ensure data used in development and testing is accurate and handled correctly.
- Support Senior Transition Manager and Technical Project Manager in ensuring detailed transition planning has clear, realistic, and achievable data migration tasks and milestones.
- Prepare all required data for transition to live.
- Lead any required hypercare data reconciliation exercises.
- Support Project Coordinator and Technical PM in identifying data risks, issues, and assumptions for RAID log.
- Support Technical PM in Quality Gateway management, providing any data products required for 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 to stakeholders.
- Experience of producing materials outlining the transition of data from source to source.
- Experience of systemised processes/workflows ensuring synergy between data flows and business flows.
- Experience being responsible for the integrity of the data for developers.
- Experience leveraging data for business insights while ensuring data integrity and security.
- Experience of working in fast-paced projects with fixed go-live dates.
Technical Skills/Knowledge:
- Intermediate in MS Excel, including understanding of macros and Pivot tables.
- Basic understanding of SQL is beneficial.
- Some experience using Jira KANBAN or other digital KANBAN.
- Good working knowledge of software, integration, and hosting technologies (Azure and IaaS virtualized).
Data Lead Specialist in Leatherhead employer: All The Top Bananas
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We think this is how you could land Data Lead Specialist in Leatherhead
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We think you need these skills to ace Data Lead Specialist in Leatherhead
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at All The Top Bananas, 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 All The Top Bananas, 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.
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How to prepare for a job interview at All The Top Bananas
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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 All The Top Bananas.
✨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.
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✨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 All The Top Bananas.
