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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 a hybrid work model, competitive salary, and employee benefits.
- Why this job: Be part of a dynamic team, working on varied projects that make a real impact.
- Qualifications: Degree in Data Analysis, 3+ years experience, strong skills in Power BI, SQL, and Python.
- Other info: Ideal for those passionate about data and eager to learn in a fast-paced environment.
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.
BI Insight Developer employer: DataCareers
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 during interviews, as you can discuss how you would apply these features to real-world scenarios.
✨Tip Number 2
Showcase your ability to transform data into insights by preparing a portfolio of dashboards you've created. This practical demonstration of your skills can significantly impress potential employers and set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who work with AI in analytics. Engaging in discussions or attending relevant meetups can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 4
Prepare to discuss specific projects where you've used Python for data analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills and experience.
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: Since strong communication skills are essential for this role, make sure to mention any experiences where you've effectively communicated complex data insights to non-technical stakeholders. This will demonstrate your ability to work in a fast-paced team environment.
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 dashboards in previous roles.
✨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 impact of your findings on decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think about potential scenarios where you might need to build a dashboard under tight deadlines and how you would manage the process effectively.
✨Express Your Passion for Continuous Learning
Since the role involves advanced analytics and AI, convey your enthusiasm for learning new technologies and methodologies. Mention any relevant courses or certifications you're pursuing to enhance your skills.
