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For Companies At a Glance
- Tasks: Create visualisations and dashboards to support business decisions.
- Company: Join a dynamic Data Science team focused on Yield optimisation.
- Benefits: Competitive rate of £450 - 500, with flexible working options.
- Why this job: Bridge the gap between Business and Tech while making impactful decisions.
- Qualifications: Experience with Power BI, Grafana, and strong data analysis skills required.
- Other info: Role is outside IR35, starting in May for several months.
Role: Data / Visualisation Analyst
Location: London
Rate: £450 - 500 (Outside IR35)
Start / Duration: May / months (+)
You will be joining a Data Science team working on yield optimisation to help bridge the gap between business and tech. Your responsibilities will include:
- Creating visualisations and dashboards to provide context for the business on how and why decisions are being made.
- Helping non-tech stakeholders to understand the work and value that goes on in the background.
You will need:
- Power BI
- Grafana
- Strong stakeholder management
- Understanding of yield optimisation and how it impacts business decisions
- Exceptional data analyst skills
Data Analyst - Yield Optimisation - Outside IR35 employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Yield Optimisation - Outside IR35
✨Tip Number 1
Familiarise yourself with Power BI and Grafana by creating your own visualisation projects. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Brush up on your understanding of yield optimisation. Research case studies or industry reports that highlight its impact on business decisions, so you can speak knowledgeably about it in conversations with potential employers.
✨Tip Number 3
Practice your stakeholder management skills by engaging with non-technical friends or family members. Explain complex data concepts in simple terms to demonstrate your ability to bridge the gap between tech and business.
✨Tip Number 4
Network with professionals in the data science field, especially those working in yield optimisation. Attend relevant meetups or webinars to make connections and learn more about the role, which could lead to valuable referrals.
We think you need these skills to ace Data Analyst - Yield Optimisation - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and visualisation tools like Power BI and Grafana. Emphasise any previous roles where you worked on yield optimisation or similar projects.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the responsibilities of the role. Mention specific examples of how you've helped non-tech stakeholders understand complex data and decisions in the past.
Showcase Your Technical Skills: Include a section in your application that details your proficiency with relevant tools and technologies. Highlight any projects where you created dashboards or visualisations that had a significant impact on business decisions.
Demonstrate Stakeholder Management Experience: Provide examples of how you've successfully managed relationships with stakeholders in previous roles. This could include instances where you facilitated discussions or presented data insights to non-technical audiences.
How to prepare for a job interview at Investigo
✨Showcase Your Visualisation Skills
Since the role involves creating visualisations and dashboards, be prepared to discuss your experience with tools like Power BI and Grafana. Bring examples of your previous work that demonstrate your ability to present data in a clear and impactful way.
✨Understand Yield Optimisation
Make sure you have a solid understanding of yield optimisation and its significance in business decisions. Be ready to explain how your analytical skills can contribute to improving yield and driving business success.
✨Communicate Effectively with Non-Tech Stakeholders
This role requires bridging the gap between business and tech. Practice explaining complex data concepts in simple terms, as you'll need to help non-tech stakeholders understand the value of your work.
✨Demonstrate Strong Stakeholder Management
Highlight your experience in managing relationships with various stakeholders. Prepare examples of how you've successfully collaborated with different teams to achieve common goals, showcasing your interpersonal skills.
