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- Tasks: Dive into data domains, analyze relationships, and collaborate with stakeholders to ensure data governance.
- Company: Join the Cabinet Office, a key player in UK government operations, driving impactful data initiatives.
- Benefits: Enjoy remote work flexibility with occasional London visits and the chance to shape data management policies.
- Why this job: Be part of a dynamic team, enhance your analytical skills, and contribute to meaningful governance frameworks.
- Qualifications: Experience in data management and governance principles is essential; strong analytical and communication skills required.
- Other info: SC Clearance is mandatory, and this role is exclusively for candidates based in the UK.
The predicted salary is between 48000 - 72000 £ per year.
On behalf of the Cabinet Office, we are looking for a Senior Business Data Analyst (Inside IR35) for a contract until the end of March ’25 based REMOTELY with occasional visits to London
SC Clearance is an essential requirement for this role
We are looking for a senior business data analyst to understand the data domains between HR & Finance, working between Data & Architecture. You will need to understand who owns the data domains, ensuring Ardoq & Informatica are in sync.
Key Responsibilities:
Investigating Data Domains:
.Conduct investigations of data domains across the enterprise using various resources, including data and architecture solutions
.Analyse data and relationships to identify and define data domains and subdomains
.Data modelling
Stakeholder Management:
.Interview key stakeholders to gather detailed information about data domains and get buy in on ownership and accountability
.Collaborate with business units, data and IT teams, and other stakeholders
Documentation:
.Document a consolidated inventory of proposed data domains and subdomains
Identify and propose data domain owners for each domain and subdomain
.Ensure accurate and up-to-date documentation of data assets and their associated metadata
Governance and Ownership Framework:
.Propose a data domain governance and ownership framework
.Ensure alignment of the governance framework with existing Data Management Policies and Standards
Qualifications/Experience:
.Experience in data management, or a related role with awareness of data governance principles, practices, and tools.
.Awareness of data cataloguing tools
.Experience with enterprise data tools
.Excellent analytical, problem-solving, and communication skills
.Ability to work collaboratively with cross-functional teams
Key Competencies:
.Great attention to detail
.Strong organisational and project management skills
.Ability to manage multiple priorities and meet deadlines
.Proactive and self-motivated with a continuous improvement mindset
.Strong interpersonal skills and the ability to influence and engage stakeholders at all levels
Please be aware that this role can only be worked within the UK and not Overseas.
Senior Business Data Analyst employer: Alexander Mann Solutions - Public Sector Resourcing
Contact Detail:
Alexander Mann Solutions - Public Sector Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data domains relevant to HR and Finance. Understanding these areas will help you engage more effectively with stakeholders and demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals who have experience in data governance and management. This can provide you with insights into best practices and may even lead to referrals or recommendations for the role.
✨Tip Number 3
Stay updated on the latest tools and technologies related to data cataloguing and management, such as Ardoq and Informatica. Being knowledgeable about these tools will show your commitment to the role and your ability to contribute from day one.
✨Tip Number 4
Prepare to discuss your previous experiences with data analysis and stakeholder management in detail. Be ready to share specific examples of how you've successfully navigated complex data environments and influenced decision-making.
We think you need these skills to ace Senior Business Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Business Data Analyst position. Familiarize yourself with data domains, governance frameworks, and the tools mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data management, data governance principles, and any specific tools like Ardoq and Informatica. Use keywords from the job description to ensure your application stands out.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your analytical skills, problem-solving abilities, and experience in stakeholder management. Mention specific examples of how you've successfully managed data domains or collaborated with cross-functional teams.
Highlight Your Qualifications: In your application, clearly outline your qualifications and experience related to data management and governance. Emphasize your attention to detail, organizational skills, and ability to meet deadlines, as these are key competencies for the role.
How to prepare for a job interview at Alexander Mann Solutions - Public Sector Resourcing
✨Understand the Data Landscape
Before the interview, familiarize yourself with the data domains relevant to HR and Finance. Be prepared to discuss how you would approach investigating these domains and ensuring that tools like Ardoq and Informatica are aligned.
✨Showcase Your Analytical Skills
Highlight your experience in data analysis and problem-solving. Prepare examples of past projects where you successfully identified and defined data domains, and be ready to explain your thought process.
✨Engage Stakeholders Effectively
Demonstrate your ability to collaborate with various stakeholders. Think of specific instances where you interviewed key stakeholders to gather information and how you secured their buy-in on data ownership.
✨Emphasize Documentation and Governance
Discuss your experience with documenting data assets and proposing governance frameworks. Be ready to explain how you ensure that documentation is accurate and up-to-date, and how you align with existing data management policies.
