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- Tasks: Join our Data Team to develop and implement data solutions for informed decision-making.
- Company: We empower individuals with innovative technology and valuable content to unlock their professional potential.
- Benefits: Enjoy a collaborative work environment, flexible hours, and opportunities for personal growth.
- Why this job: Be part of a dynamic team that values data-driven decisions and fosters strong business relationships.
- Qualifications: Strong communication skills and adaptability are key; experience with BI tools is a plus.
- Other info: Ideal for data enthusiasts eager to make an impact while working closely with diverse stakeholders.
The predicted salary is between 28800 - 48000 £ per year.
The Company:
Our client empower individuals to unlock their professional potential by providing innovative technology, valuable content, and practical tools. Their approach centers on deeply understanding the needs of individuals and forging strong partnerships with organizations, educational institutions, and technology providers.
The Role: Data Solutions Specialist
Working within their growing Data Team, you will collaborate with diverse stakeholders across the business to define data requirements, then develop and implement effective data solutions. A key focus will be on enhancing our existing suite of data services, evolving their offering from reactive reporting to proactive and predictive insights for our partners.
Key Outcomes for This Role:
Teams across the business are equipped with the data needed for informed decision-making, performance monitoring, and proactive interventions:
- Utilise internal tools to ensure teams have clear visibility of relevant data.
- Develop performance models that enable teams to easily identify unexpected performance trends, allowing us to celebrate successes and intervene proactively when needed.
- Manage and maintain comprehensive cross-platform tracking of our products and services.
The needs of their customers and internal teams are thoroughly understood:
- Strengthen the vital relationship between the Data Team, client-facing teams, and their customers.
- Build strong rapport with a wide range of stakeholders through consistent communication and dedicated support.
- Develop a deep understanding of the data requirements, challenges, and opportunities inherent in their platform offerings.
Clients receive accurate and timely data, insightful analysis, and best practice guidance:
- Support client-facing teams by overseeing the creation of regular campaign performance reports.
- Analyze aggregated product data to generate best practice insights for both internal use and client recommendations.
- Provide ad-hoc and customized analyses and reports for specific clients as needed.
Ideal Candidate Profile:
This role is perfect for someone passionate about data who also enjoys cultivating business relationships and working closely with customers. They cultivate an action-oriented culture that prioritizes pragmatic, data-driven decisions and empowers every team member to deliver excellence.
- Inquisitive and enthusiastic about data analysis, technology, and business systems, staying current with the latest advancements in these fields.
- Effective stakeholder manager and an excellent communicator, capable of mediating between business, technology, and product stakeholders.
- Friendly and confident , comfortable working closely with individuals across various departments with varying levels of data literacy.
- Ability to work independently while also thriving as an integral part of a larger team.
Experience, Knowledge & Skills:
This position balances analytical rigor with business intelligence. While support is readily available, the most critical prerequisites for this role are strong communication and adaptability, rather than extensive intricate technical knowledge.
- Excellent analytical and strong reporting skills , with prior experience in planning, managing, and delivering analyses to stakeholders.
- Understanding of BI/MI reporting tools (e.g., Power BI, Tableau, Looker, or Google Data Studio).
- Some familiarity with relational databases (e.g., Microsoft SQL Server, MySQL, or other DBMS).
- Familiarity with web analytics and behavioral tracking (e.g., Google Analytics, Matomo, Hotjar).
- Ideally, some experience with coding (preferably Python or Java) and knowledge of programming best practices.
- Experience using version control (e.g., Git & Mercurial) is beneficial but not required.
Junior Data Analyst employer: GradBay
Contact Detail:
GradBay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Power BI or Google Analytics. Having hands-on experience or even completing a short course on these platforms can give you an edge during discussions.
✨Tip Number 2
Network with current or former employees of the company to gain insights into their data culture and team dynamics. This can help you tailor your approach and demonstrate your understanding of their needs during interviews.
✨Tip Number 3
Prepare to discuss real-world examples where you've used data to drive decisions or improve processes. Being able to articulate your thought process and outcomes will showcase your analytical skills effectively.
✨Tip Number 4
Showcase your communication skills by preparing to explain complex data concepts in simple terms. This is crucial for the role, as you'll need to liaise with stakeholders who may not have a technical background.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Junior Data Analyst role. Emphasise your analytical skills, familiarity with BI tools, and any experience you have with data reporting or stakeholder management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to build relationships with stakeholders. Mention specific examples of how you've used data to drive decisions or improve processes in previous roles.
Showcase Relevant Skills: In your application, clearly outline your proficiency with tools like Power BI, Tableau, or Google Analytics. If you have coding experience, even if it's basic, make sure to include that as well, as it shows your willingness to learn and adapt.
Highlight Communication Abilities: Since the role requires effective communication with various stakeholders, provide examples of how you've successfully communicated complex data insights to non-technical audiences in the past. This will demonstrate your capability to bridge the gap between data and business needs.
How to prepare for a job interview at GradBay
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analysis during the interview. Share examples of projects or experiences where you used data to drive decisions or solve problems, as this will demonstrate your genuine interest in the field.
✨Understand the Company’s Data Needs
Research the company’s current data solutions and think about how you can contribute to enhancing them. Be prepared to discuss how you would approach understanding the needs of both internal teams and clients, showcasing your stakeholder management skills.
✨Demonstrate Communication Skills
Since effective communication is key in this role, practice articulating complex data concepts in simple terms. Prepare to explain how you would communicate insights to non-technical stakeholders, ensuring they understand the value of the data.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of BI/MI reporting tools like Power BI or Tableau, and be ready to discuss any experience you have with these platforms. If you have coding experience, mention it, but focus on how you can leverage these tools to provide actionable insights.
