Senior Asset Data Analyst β€” Lifecycle Data Quality & Automation in Hatfield

Senior Asset Data Analyst β€” Lifecycle Data Quality & Automation in Hatfield

Hatfield Full-Time 35252 - 43086 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Drive data quality and automate processes across asset and service datasets.
  • Company: Join Computacenter, a leader in IT services with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with excellent career advancement potential.
  • Why this job: Make a real impact by ensuring accurate asset records and improving data processes.
  • Qualifications: Experience in data analysis and strong collaboration skills are essential.

The predicted salary is between 35252 - 43086 Β£ per year.

Computacenter AG & Co. oHG is seeking a Senior Asset Data Analyst to drive data quality across asset, configuration and service datasets. You will reconcile data in ServiceNow and SAP, validate attributes, and collaborate across operations, finance, technology and customers to ensure accurate asset records throughout the lifecycle.

You will lead onboarding, support billing and forecasting, and contribute to compliance, audits and reporting while identifying opportunities for automation.

Senior Asset Data Analyst β€” Lifecycle Data Quality & Automation in Hatfield employer: Computacenter AG & Co. oHG

At Computacenter, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to sustainability not only drives our business but also provides employees with meaningful opportunities for growth and development in a rapidly evolving field. Located in the UK, we offer competitive benefits and a supportive environment where your contributions directly impact our sustainability goals.

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Contact Details:

Computacenter AG & Co. oHG Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Asset Data Analyst β€” Lifecycle Data Quality & Automation in Hatfield

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We think you need these skills to ace Senior Asset Data Analyst β€” Lifecycle Data Quality & Automation in Hatfield

Data Quality Management
ServiceNow
SAP
Data Reconciliation
Attribute Validation
Collaboration Skills
Billing Support

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 Computacenter AG & Co. oHG, 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 Computacenter AG & Co. oHG. 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 Computacenter AG & Co. oHG

✨Brush Up on Your Statistics

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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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✨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.