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- Tasks: Transform raw data into interactive dashboards for clients, enabling data-driven decisions.
- Company: Join a rapidly growing global consultancy with over 1500 employees focused on performance improvement.
- Benefits: Enjoy hybrid working, competitive salary, and employee benefits in a dynamic environment.
- Why this job: Be part of a fast-paced team that values innovation and offers opportunities for career progression.
- Qualifications: Degree in Data Analysis or related field, 3+ years experience, strong skills in Power BI, SQL, and Python.
- Other info: Ideal for those passionate about data and AI, with strong communication skills.
The predicted salary is between 40000 - 60000 £ per year.
Location: Hybrid (Newport Pagnell and WFH)
Salary: £50 - 60K + Employee Benefits
Key Skills: Power BI, transform data using SQL, Python, Data analysis, data visualisation, ideally some experience with AI in Analytics, building interactive and dynamic data dashboards.
Why Apply: This is a truly great opportunity for someone with a talent for transforming raw data into interactive and dynamic dashboards to enable valuable insights. Using both conventional and advanced analytics you will be providing a valuable role to our clients enabling them to make data driven decision making.
Our Client: Our Client has an impressive story to tell! They are a global consultancy that has enjoyed exponential growth over recent years and continue to grow organically. Their growing workforce of 1500+ support their international customers to deliver 'Performance Improvement' Consultancy.
The Role: You will join a dedicated Insight and Data Analysis team, transforming multiple customers raw data, gathering the necessary data sets and presenting it visually in the form of interactive dashboards for each customer project. Projects are delivered within delivery deadlines, so it's varied and fast-paced! This role requires you to capture and interrogate customers data, identify trends and ask the question 'why?' in order to build an appropriate dashboard to gain insights for each customer that the customer can then make data driven decisions upon.
The successful candidate will be able to demonstrate:
- A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.)
- That you live in commuting distance to Newport Pagnell
- 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your career in this field
- Strong Power BI, SQL and Python skills, (and any other tools used in advanced analytics.
- A keen interest in AI and ideally you will already have experience of, or be studying towards a qualification in, the use of AI in advanced analytics.
- Strong communication skills
- A keen learner, resourceful and enjoys a fast-paced team environment.
Contact Detail:
DataCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Insight Developer
✨Tip Number 1
Familiarise yourself with the latest features of Power BI and SQL. Being up-to-date with the tools you’ll be using can give you an edge in interviews, as it shows your commitment to staying current in the field.
✨Tip Number 2
Build a portfolio showcasing your data visualisation projects. Having tangible examples of your work can help demonstrate your skills and creativity, making you a more attractive candidate.
✨Tip Number 3
Network with professionals in the BI and analytics community. Attend meetups or webinars related to data analysis and AI; this can lead to valuable connections and insights about the industry.
✨Tip Number 4
Prepare for technical interviews by practising common data analysis scenarios. Being able to think on your feet and solve problems in real-time will impress interviewers and show your analytical capabilities.
We think you need these skills to ace BI Insight Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SQL, and Python. Include specific examples of how you've transformed data into interactive dashboards and any relevant projects that showcase your skills in data analysis and visualisation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and your interest in the role. Mention your experience with AI in analytics if applicable, and explain how you can contribute to the company's goal of enabling data-driven decision making.
Showcase Relevant Projects: If you have worked on any projects that involved building dashboards or using advanced analytics, be sure to include these in your application. Describe the challenges you faced, the solutions you implemented, and the impact of your work.
Highlight Soft Skills: Don't forget to mention your strong communication skills and ability to work in a fast-paced team environment. Provide examples of how you've successfully collaborated with others to achieve project goals.
How to prepare for a job interview at DataCareers
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI, SQL, and Python during the interview. Prepare specific examples of how you've used these tools to transform data and create interactive dashboards, as this will demonstrate your capability to meet the job requirements.
✨Demonstrate Your Analytical Thinking
Be ready to discuss how you approach data analysis. Share instances where you've identified trends or insights from raw data and explain the thought process behind your findings. This will show your potential employer that you can ask the right questions and think critically about data.
✨Express Your Passion for Data
Convey your enthusiasm for data analysis and your desire to grow in this field. Talk about any relevant projects or experiences that sparked your interest in data visualisation and analytics, especially if they relate to AI, as this aligns with the company's focus.
✨Prepare for a Fast-Paced Environment
Since the role involves working on multiple projects with tight deadlines, be prepared to discuss how you manage your time and prioritise tasks. Share examples of how you've successfully handled similar situations in the past to reassure the interviewer of your adaptability.
