At a Glance
- Tasks: Lead data projects and govern commercial data using Dynamics 365.
- Company: Join LRQA, a global leader in quality assurance and risk management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data-driven decision making.
- Why this job: Shape insights and drive impact across diverse regions with innovative tools.
- Qualifications: Experience in CRM systems and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
LRQA is seeking a Commercial Analyst to define and govern commercial data across LRQA's global CRM, using Dynamics 365 and working with the Sales organisation and central Data function.
The role reports to the Group Sales Director and operates across all LRQA regions.
You will lead data projects, set standards, enable platform implementations, and shape insights through Power BI and related tools for diverse stakeholders in multiple regions.
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CRM Data Architect — Commercial Strategy & Governance in Birmingham employer: LRQA
At LRQA, we pride ourselves on being an exceptional employer, offering a collaborative work environment in Birmingham where your contributions are valued and professional growth is encouraged. With a focus on employee development, flexible working arrangements, and a comprehensive benefits package, we empower our team to thrive while making a meaningful impact in the assurance and risk management sector.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Data Architect — Commercial Strategy & Governance in Birmingham
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We think you need these skills to ace CRM Data Architect — Commercial Strategy & Governance in Birmingham
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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How to prepare for a job interview at LRQA
✨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 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.
