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For Companies At a Glance
- Tasks: Assist with data management and ensure effective monitoring of data quality across multiple platforms.
- Company: Join a dynamic team in Belfast, focused on data governance and risk management.
- Benefits: Enjoy a hybrid work model and competitive pay of up to £535 per day.
- Why this job: Gain valuable experience in data analysis while contributing to impactful projects in a collaborative environment.
- Qualifications: 3+ years in a data role, strong SQL skills, and experience in data risk management frameworks required.
- Other info: This is an 8-month contract with a high chance of extension.
The predicted salary is between 36000 - 60000 £ per year.
Your new companyYou will be working for a large, well-known company who are a reputable force within their industry.
Your new role
- Work with executives, directors, and heads of departments to capture organisational hierarchy for the new HR and Payroll solution.
- Analyse data sets, evaluate differences, and identify potential issues.
- Liaise closely with IT enterprise architecture and internal data teams to ensure data governance and data lineage.
- Establish data governance and ensure the quality, integrity, and security of data within the HR and Payroll solution.
- Identify opportunities for process improvements and data innovation.
- Prepare recommendations for organisational hierarchy and HR and Payroll master data structure design.
- Ensure effective communication during the project lifecycle.
- Identify and mitigate risks and resolve issues.
- Ensure project deadlines related to data are met.
- Manage external relationships effectively and efficiently.
What you\’ll need to succeed
- Prior experience in HR and Payroll enterprise solutions.
- Experience with Dayforce is desirable, but not essential.
- Previous corporate data design experience.
- HR and Payroll system experience.
- Strong data analysis skills.
- Excellent communication and grammatical skills.
- Excellent organisational skills with the ability to work to deadlines and prioritise effectively.
- Strong attention to detail.
What you\’ll get in returnA contract role lasting up to six months, paying up to £500 per day with the role being Outside IR35. The role is based in Milton Keynes with hybrid working on offer.
What you need to do now
If you\’re interested in this role, click \’apply now\’ to forward an up-to-date copy of your CV, or call us now.
If this job isn\’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C\’s, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data Analyst employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data management frameworks and SQL practices mentioned in the job description. Being able to discuss these frameworks in detail during your interview will show that you have a solid understanding of what the role entails.
✨Tip Number 2
Prepare examples from your previous experience where you've successfully managed data quality or resolved complex data issues. This will help you demonstrate your problem-solving skills and your ability to handle high-impact projects.
✨Tip Number 3
Research the company’s current data management practices and any recent changes in their systems. This knowledge can give you an edge in discussions, showing that you're proactive and genuinely interested in how you can contribute.
✨Tip Number 4
Network with professionals in the data analytics field, especially those who work in similar roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data-related roles, especially focusing on your SQL skills and any relevant projects. Use keywords from the job description to demonstrate that you meet the essential criteria.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities and requirements mentioned in the job description. Explain how your background aligns with the role and provide examples of your experience in managing data quality and risk management frameworks.
Showcase Relevant Projects: If you have worked on specific projects that involved data integration, system enhancements, or mitigation strategies, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Hays
✨Showcase Your SQL Skills
Since the role requires extensive experience using SQL, be prepared to discuss your SQL projects in detail. Bring examples of complex queries you've written and how they contributed to data management or analysis.
✨Demonstrate Data Quality Understanding
Familiarise yourself with concepts like Critical Data Elements (CDE) and data quality rules. Be ready to explain how you have previously identified and managed data quality issues in your past roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare to discuss specific instances where you resolved high-impact data-related problems, detailing your thought process and the outcomes.
✨Highlight Your Communication Skills
As consulting with end users is crucial, practice articulating how you gather requirements and implement system enhancements. Share examples of how you've effectively communicated technical information to non-technical stakeholders.
