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- Tasks: Lead the creation of dashboards and financial reports that drive key business decisions.
- Company: Join a forward-thinking company that values data-driven insights and innovation.
- Benefits: Enjoy a competitive salary, discretionary bonus, 10% pension, and flexible work options.
- Why this job: Be part of a dynamic team that shapes strategy through advanced analytics and collaboration.
- Qualifications: Experience in BI and reporting within finance; strong skills in Power BI and data visualisation.
- Other info: Work two days a week in Liverpool and influence strategic decisions.
The predicted salary is between 42000 - 58800 £ per year.
My client is looking for a Senior BI analyst to leverage insights and enhance decision making with the use of predictive analytics.
Why You'll Love This Role:
- Own the development of dashboards & financial reports that drive real business decisions
- Work with advanced analytics to support forecasting & planning
- Collaborate across teams to deliver insight that shapes strategy
- Use modern tools like Snowflake, Power BI, and Alteryx
- Be part of a data-driven culture that values innovation, accuracy, and impact
We're Looking For:
- BI & reporting experience in a finance environment (ideal)
- Strong data visualisation and storytelling skills
- Proficiency in Power BI, SAP Analytics Cloud, Alteryx (R/Python are a bonus)
- Ability to simplify complex insights for non-technical stakeholders
This is more than a reporting role - it’s your chance to lead data conversations and influence decisions at a strategic level.
This role would require 2 days a week in the Liverpool office.
Senior Finance Data Analyst employer: Harvey Nash Plc
Contact Detail:
Harvey Nash Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Finance Data Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Power BI and Alteryx. Consider taking online courses or tutorials to enhance your skills, as demonstrating proficiency in these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and data analytics fields. Attend industry events or join relevant online communities to connect with others who may have insights into the company or role, which could give you an edge during the interview process.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data visualisation to influence business decisions in your previous roles. Being able to articulate your experience in simplifying complex insights for non-technical stakeholders will demonstrate your value to the team.
✨Tip Number 4
Research the company’s culture and values, especially their focus on data-driven decision-making. Tailor your conversations during interviews to reflect how your personal values align with theirs, showcasing your enthusiasm for contributing to a culture of innovation and accuracy.
We think you need these skills to ace Senior Finance Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in BI and reporting within a finance environment. Emphasise your proficiency in tools like Power BI, SAP Analytics Cloud, and Alteryx, as well as any experience with predictive analytics.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analysis and how your skills can contribute to the company's goals. Mention specific projects where you've used data visualisation to influence business decisions.
Showcase Your Data Storytelling Skills: Include examples in your application that demonstrate your ability to simplify complex insights for non-technical stakeholders. This could be through past projects or presentations where you effectively communicated data-driven insights.
Highlight Collaboration Experience: Since the role involves working across teams, mention any previous experiences where you collaborated with different departments to deliver insights. This shows your ability to work in a data-driven culture and contribute to strategic discussions.
How to prepare for a job interview at Harvey Nash Plc
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used predictive analytics in previous roles. Highlight any dashboards or financial reports you've developed that led to significant business decisions.
✨Demonstrate Data Visualisation Expertise
Be ready to explain your approach to data visualisation. Use examples from your experience with tools like Power BI and Alteryx to illustrate how you can simplify complex insights for non-technical stakeholders.
✨Understand the Business Context
Research the company and its industry to understand their challenges and opportunities. This will help you tailor your responses and demonstrate how your skills can directly impact their strategic goals.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked across teams to deliver insights. Be prepared to discuss how you handle differing opinions and drive consensus in data-driven discussions.
