At a Glance
- Tasks: Support clients' Data Strategy and develop innovative data solutions.
- Company: Join Harvey Nash, a leader in tech recruitment with a dynamic team.
- Benefits: Competitive pay, hybrid work model, and exciting project involvement.
- Other info: Initial 3-month contract with excellent career growth opportunities.
- Why this job: Shape the future of data strategy and governance in a collaborative environment.
- Qualifications: Strong Big Data background and stakeholder engagement skills required.
The predicted salary is between 40000 - 45000 £ per year.
Requirements
- Strong background in Big Data and Data Warehousing
- Experience in translating customer needs into data logic (measures / dimensions / attributes)
- Basic data analysis skills
- Understanding of data platform structures, data models, and schemas
- Familiarity with data consumption tooling
- Experience in requirements elicitation in a strategic setting
- Strong stakeholder engagement skills with multi-disciplinary teams
- Ability to develop business needs and use cases for a data platform
- Experience in options analysis working with Solution Architects and Product Leads
Responsibilities
- Support the development of our clients Data Strategy
- Review the existing Data Platform
- Develop choices/options for the Data approach
- Design onboarding of new data sets for the data platform
- Aid in the scaling of a new public service
- Implement a new data governance framework as part of the Data Strategy
We are Harvey Nash, currently looking for candidates to fill the role of Senior Business Analyst. This is an initial 3-month contract position with a hybrid work model based in Newcastle, offering a competitive rate of £400 - £450, inside of IR35. Join our dynamic team and contribute to exciting projects that will shape the future of data strategy and governance.
Senior Data Business Analyst employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your Big Data knowledge and stakeholder engagement skills. Practice articulating how you've translated customer needs into data logic – it's all about showcasing your experience!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you, and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Business Analyst role. Highlight your experience with Big Data, data warehousing, and any relevant projects that showcase your skills in translating customer needs into data logic.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your stakeholder engagement skills and how you've successfully worked with multi-disciplinary teams in the past.
Showcase Your Analytical Skills: Don’t forget to demonstrate your basic data analysis skills in your application. Include examples of how you've developed business needs and use cases for data platforms, as this will resonate well with us.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of Big Data and Data Warehousing. Be ready to discuss how you've translated customer needs into data logic in previous roles. Having specific examples at hand will show that you understand the intricacies of data models and schemas.
✨Engage with Stakeholders
Since strong stakeholder engagement is key for this role, think about how you've successfully collaborated with multi-disciplinary teams in the past. Prepare to share stories that highlight your ability to elicit requirements and develop business needs, as this will demonstrate your strategic thinking.
✨Showcase Your Analytical Skills
Even if your data analysis skills are basic, be prepared to discuss how you've used them to support decision-making. Bring examples of how you've worked with Solution Architects and Product Leads to conduct options analysis, as this will illustrate your practical experience in a strategic setting.
✨Understand the Company’s Data Strategy
Before the interview, research Harvey Nash and their approach to data strategy and governance. Being able to discuss their existing Data Platform and suggest potential improvements or new data sets will show that you're proactive and genuinely interested in contributing to their projects.