Data operations analyst in London

Data operations analyst in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Ensure data accuracy and support asset management across the organisation.
  • Company: Join a forward-thinking company focused on data integrity and compliance.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Make a real impact by optimising asset performance and supporting decision-making.
  • Qualifications: Strong analytical skills and proficiency in SQL and Excel required.
  • Other info: Dynamic role with potential for career advancement in data operations.

The predicted salary is between 36000 - 60000 Β£ per year.

Overall Purpose of Role

Responsible for ensuring the accuracy, integrity, and availability of asset-related data across the organisation. Supports asset lifecycle management, compliance, and operational reporting to enable effective decision-making and adherence to regulatory and audit requirements.

Key Accountabilities

  • Maintain accurate and consistent asset records across systems.
  • Implement and monitor data governance frameworks for IT assets.
  • Analyse asset utilisation, lifecycle trends, and inventory data.
  • Produce regular reports on asset performance, compliance, and cost optimisation.
  • Support forecasting for asset procurement, refresh, and disposal.
  • Assist in managing asset-related incidents and changes.
  • Ensure asset management processes comply with internal and external standards.
  • Provide documentation and evidence for audits and regulatory checks.

Skills & Experience

  • Strong analytical and problem-solving skills.
  • Proficiency in SQL, Excel, and asset management tools (e.g., ServiceNow, SCCM).
  • Understanding of IT asset lifecycle and configuration management.
  • Familiarity with data governance and compliance standards.
  • Excellent communication and stakeholder engagement skills.

Data operations analyst in London employer: BI, Big Data & Analytics

As a Data Operations Analyst at our organisation, you will thrive in a dynamic work culture that prioritises accuracy and integrity in asset management. We offer comprehensive employee growth opportunities, including training in advanced data governance frameworks and compliance standards, all while enjoying a supportive environment that values collaboration and innovation. Located in a vibrant area, our company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers.
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Contact Detail:

BI, Big Data & Analytics Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data operations analyst in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by practising common questions related to data operations. Think about how your skills in SQL and Excel can solve real-world problems. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨Tip Number 3

Showcase your analytical skills! Create a portfolio of projects that demonstrate your ability to analyse asset utilisation and lifecycle trends. This will give you an edge and show potential employers what you can bring to the table.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes get your application noticed faster than through other channels.

We think you need these skills to ace Data operations analyst in London

Analytical Skills
Problem-Solving Skills
Proficiency in SQL
Proficiency in Excel
Asset Management Tools (e.g., ServiceNow, SCCM)
Understanding of IT Asset Lifecycle
Configuration Management
Data Governance
Compliance Standards
Communication Skills
Stakeholder Engagement

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your analytical skills and experience with SQL, Excel, and asset management tools. We want to see how your background aligns with the key accountabilities of the Data Operations Analyst role.

Showcase Your Problem-Solving Skills: In your cover letter, give us examples of how you've tackled data-related challenges in the past. We love seeing real-life scenarios where you've made a difference through your analytical prowess.

Highlight Compliance Knowledge: Since compliance is a big part of this role, mention any experience you have with data governance and regulatory standards. This will show us that you understand the importance of adhering to internal and external requirements.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!

How to prepare for a job interview at BI, Big Data & Analytics

✨Know Your Data Inside Out

Make sure you brush up on your knowledge of data governance frameworks and asset management tools like ServiceNow and SCCM. Be ready to discuss how you've used SQL and Excel in past roles to analyse data and produce reports.

✨Showcase Your Analytical Skills

Prepare examples that highlight your strong analytical and problem-solving skills. Think of specific situations where you’ve analysed asset utilisation or lifecycle trends, and be ready to explain your thought process and the outcomes.

✨Understand Compliance Standards

Familiarise yourself with internal and external compliance standards related to asset management. Be prepared to discuss how you ensure adherence to these standards in your work, as this will show your understanding of the regulatory landscape.

✨Engage with Stakeholders

Communication is key! Think about how you’ve engaged with stakeholders in previous roles. Prepare to share examples of how you’ve effectively communicated complex data insights to non-technical audiences, as this will demonstrate your ability to bridge the gap between data and decision-making.

Data operations analyst in London
BI, Big Data & Analytics
Location: London
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