At a Glance
- Tasks: Lead data transformation projects and ensure high-quality reporting solutions.
- Company: Join a dynamic team at Modis International Ltd, a leader in talent solutions.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Work autonomously with strong support for career development.
- Why this job: Make a real impact by transforming data processes in a collaborative environment.
- Qualifications: Proven experience in data governance and BI/reporting transformation.
The predicted salary is between 56700 - 69300 £ per year.
FM Data Transformation Lead required for long term contract assignment based in Stevenage (some hybrid working available).
Essential:
- Significant experience leading data, BI or reporting transformation programmes from discovery through to implementation and handover.
- Strong practical experience of data governance, data ownership, data quality and information standards.
- Demonstrable experience developing KPI frameworks and establishing consistent definitions and calculation methodologies.
- Strong understanding of data modelling, data integration and reporting architecture.
- Strong Power BI and BI/reporting knowledge, with the ability to provide technical direction as well as challenge solution design.
- Experience working with multiple data sources and identifying quality, duplication and consistency issues.
- Ability to translate business requirements into practical data and reporting solutions.
- Strong programme/workstream management capability with demonstrable ownership of milestones and deliverables.
- Experience facilitating workshops and gaining agreement across multiple stakeholder groups.
- Strong stakeholder-management skills, including the confidence to constructively challenge requirements and escalate decisions.
- Experience of UAT, implementation, adoption and transition into BAU.
- Strong documentation and knowledge-transfer capability.
- Ability to work autonomously and take accountability for delivery.
Desirable:
- Experience working with Facilities Management, workplace, property, asset or built-environment data.
- Experience with IWMS/CAFM platforms.
- Knowledge of Planon.
- Experience working with outsourced FM/service-provider data.
- Experience working within a regulated or security-constrained organisation.
- Experience of Microsoft data technologies and associated BI environments.
Facilities Maintenance Data Transformation Lead in Stevenage employer: Akkodis
As a Power Platform Architect with us, you'll join a forward-thinking organisation in London that values innovation and collaboration. We offer a dynamic hybrid work environment, competitive daily rates, and a culture that fosters professional growth through challenging projects and continuous learning opportunities. Our commitment to employee development and a supportive atmosphere makes us an excellent employer for those seeking meaningful and rewarding careers in business intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Facilities Maintenance Data Transformation Lead in Stevenage
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We think you need these skills to ace Facilities Maintenance Data Transformation Lead in Stevenage
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Akkodis. 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 Akkodis
✨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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✨Get Comfortable with Python and R
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✨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.
