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For Companies At a Glance
- Tasks: Analyse data, conduct user research, and collaborate with teams to shape digital products.
- Company: Join a forward-thinking company focused on digital transformation and innovation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and user insights in product development.
- Qualifications: Experience in product analysis, strong data skills, and familiarity with Agile methodologies required.
- Other info: Desirable knowledge of AI tools and excellent communication skills will set you apart.
The predicted salary is between 28800 - 48000 £ per year.
Our client is seeking a skilled and data-driven Digital Product Analyst to join their Regulation and Digital Transformation directorate. This role is ideal for a detail-oriented individual passionate about using data and user insights to shape innovative digital products. You will work closely with cross-functional teams to ensure products meet user needs and strategic goals through analytics, research, and collaboration.
Responsibilities
- Data Analysis: Collect and interpret complex data from user interactions, surveys, and logs using tools such as Excel, SQL, and PowerBI. Create visualisations and reports to inform design and strategic decisions.
- User Research: Conduct user research through surveys, interviews, and usability testing. Develop personas and journey maps to guide development.
- Requirements Gathering: Collaborate with stakeholders to gather and document product requirements, facilitating workshops and drafting detailed specifications and user stories.
- Market and Performance Analysis: Monitor product KPIs, research market trends and competitors, and identify opportunities for innovation and optimisation.
- Product Documentation: Create and maintain comprehensive product documentation including research findings, performance reports, and market analysis summaries.
- Collaboration: Work with digital product owners, designers, developers, and wider IT and business teams to ensure product vision and execution align with user and business needs.
Skills & Experience
- Experience in a product analyst role with direct user support and stakeholder engagement.
- Strong proficiency with data visualisation and analytics tools (e.g. PowerBI, Excel, SQL).
- Experience conducting user research and delivering actionable insights.
- Familiarity with Agile project delivery and documentation (user stories, acceptance criteria).
- Working knowledge of industry analytics tools and AI/machine learning applications such as Microsoft CoPilot or generative AI (desirable).
- Strong communication skills with the ability to explain complex concepts in non-technical terms.
- PRINCE2 Foundation (desirable).
- Proven ability to deliver excellent customer service and provide user training.
Business Data Analyst employer: Vector Resourcing
Contact Detail:
Vector Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data analysis tools mentioned in the job description, such as Excel, SQL, and PowerBI. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Engage in user research projects, even if they're informal. Conduct surveys or interviews with friends or family to practice gathering insights and creating personas. This hands-on experience will help you demonstrate your understanding of user needs in your discussions with us.
✨Tip Number 3
Stay updated on market trends and competitor products relevant to the role. Follow industry blogs, attend webinars, or join forums to gain insights that you can discuss during your interview, showcasing your proactive approach to understanding the digital landscape.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. You might want to do this with friends or family who aren't familiar with data analysis. This skill is crucial for effective communication with stakeholders and will be a key focus during your interactions with us.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, user research, and collaboration. Use specific examples that demonstrate your proficiency with tools like Excel, SQL, and PowerBI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how it aligns with the company's goals. Mention your experience in conducting user research and how it has shaped product development in your previous roles.
Showcase Your Analytical Skills: Provide examples of how you've used data to inform strategic decisions. Discuss any visualisations or reports you've created and how they impacted product outcomes. This will demonstrate your ability to interpret complex data effectively.
Highlight Collaboration Experience: Emphasise your experience working with cross-functional teams. Share specific instances where you collaborated with stakeholders to gather requirements or facilitated workshops, showcasing your communication skills and ability to work in an Agile environment.
How to prepare for a job interview at Vector Resourcing
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis tools like Excel, SQL, and PowerBI. Bring examples of how you've used these tools to create visualisations or reports that influenced decision-making.
✨Demonstrate User Research Experience
Highlight your experience in conducting user research. Be ready to share specific examples of surveys or usability tests you've conducted, and how the insights gathered shaped product development.
✨Understand Agile Methodologies
Familiarise yourself with Agile project delivery. Be prepared to discuss how you've worked in Agile environments, including your experience with user stories and acceptance criteria.
✨Communicate Complex Ideas Simply
Practice explaining complex data concepts in simple terms. This is crucial for collaborating with cross-functional teams and ensuring everyone understands the insights you provide.
