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- Tasks: Lead data management and analytics, ensuring data accuracy and delivering insights.
- Company: Join a dynamic team focused on maximizing the value of data assets.
- Benefits: Competitive salary up to £60K plus benefits, with opportunities for growth.
- Why this job: Shape the future of data management while collaborating with innovative minds.
- Qualifications: Experience in data management, strong knowledge of Data Bricks, and excellent communication skills required.
- Other info: Ideal for curious individuals eager to make an impact in the tech sector.
The predicted salary is between 42000 - 84000 £ per year.
Our client is currently seeking a Data Asset Manager to join their team playing a vital role in taking ownership of all data products, leveraging your knowledge of the business to build value and deliver insights to stakeholders.
Key skills required for this role
A Data Asset Manager is needed to be the driving force in maximising the value and impact of data assets within a data strategy. This is an opportunity to play a key role in shaping the future of data management and analytics and you will join a highly functioning team driven by a common goal.
The Data Asset Manager will develop investment cases for data assets, implement innovative strategies to enhance return on investment, and ensure alignment with organisational goals.
This role will require you to understand business objectives, translate them into data strategies, and then sell them back to internal stakeholders to gain buy-in from the wider business. As such, you will need excellent people skills and the ability to communicate technical matters to stakeholders at all levels.
Key Responsibilities
- Manage and maintain data assets, ensuring their accuracy, integrity, and availability
- Collaborate with cross-functional teams to understand business needs and develop data solutions
- Utilise Data Bricks and other tools to perform data analysis and identify patterns, trends, and opportunities
- Design, develop, and implement data pipelines and workflows to support data integration and transformation
- Develop strategies to maximise the value of data assets and identify opportunities for monetising
- Create reports, dashboards, and visualisations to communicate key insights to stakeholders
- Ensure compliance with data governance and privacy regulations
- Keep abreast of emerging technologies and industry trends to drive innovation and continuous improvement
Job Requirements
- Significant experience in data management, data engineering, or a related role
- Strong knowledge of Data Bricks, data analysis techniques, and data visualisation tools
- Experience in working with large datasets, data integration, and transformation
- Understanding of data governance, privacy regulations, and best practices
- Ability to collaborate effectively with cross-functional teams and stakeholders
- Excellent problem-solving and analytic skills
- Self-motivated with strong attention to detail and the ability to work independently
- Prior experience in the technology sector is preferred
The Data Asset Manager is paying up to £60K + benefits and is a great opportunity for someone with a curious mind and good data skills to join a high functioning team making a huge impact on data strategy.
Apply Now
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Data Asset Manager employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Asset Manager
✨Tip Number 1
Familiarize yourself with Data Bricks and other data analysis tools mentioned in the job description. Being able to demonstrate your proficiency in these tools during the interview will show that you are ready to hit the ground running.
✨Tip Number 2
Prepare examples of how you've previously maximized the value of data assets in your past roles. This will help you illustrate your experience and ability to align data strategies with business objectives.
✨Tip Number 3
Brush up on your communication skills, especially in translating technical data concepts into layman's terms. This is crucial for gaining buy-in from stakeholders at all levels, so practice explaining complex ideas simply.
✨Tip Number 4
Stay updated on the latest trends in data management and analytics. Showing that you are proactive about learning and adapting to new technologies can set you apart as a candidate who is committed to continuous improvement.
We think you need these skills to ace Data Asset Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Asset Manager position. Tailor your application to highlight how your skills and experiences align with the key responsibilities outlined in the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your significant experience in data management, data engineering, or related roles. Be specific about your familiarity with Data Bricks, data analysis techniques, and any relevant tools you've used.
Showcase Communication Skills: Since the role requires excellent people skills and the ability to communicate technical matters to stakeholders, include examples in your application that demonstrate your communication abilities, especially in cross-functional team settings.
Demonstrate Problem-Solving Abilities: Provide concrete examples of how you've tackled complex data challenges in the past. This will showcase your problem-solving and analytical skills, which are crucial for the Data Asset Manager role.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data management and engineering. Highlight specific projects where you've successfully managed data assets, utilized Data Bricks, or implemented data solutions that drove business value.
✨Communicate Clearly with Stakeholders
Since the role requires selling data strategies to internal stakeholders, practice explaining complex technical concepts in simple terms. Use examples from your past experiences to demonstrate how you effectively communicated with cross-functional teams.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenges you've faced in data management and how you overcame them. Think of specific instances where your analytical skills led to valuable insights or innovative solutions.
✨Stay Updated on Industry Trends
Research the latest trends in data management and analytics. Be ready to discuss how emerging technologies could impact the role and how you can leverage them to enhance data strategies within the organization.
