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- Tasks: Analyse data to drive decisions across various teams and build insightful dashboards.
- Company: Join a leading D2C household brand known for its innovative approach.
- Benefits: Contract role with competitive pay of up to £299 per day.
- Why this job: Perfect for data enthusiasts eager to make an impact in a dynamic environment.
- Qualifications: 4+ years in BI or Data Analysis, strong SQL skills, and proficiency in BI tools required.
- Other info: Opportunity to work with diverse datasets and collaborate with cross-functional teams.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a BI Analyst to join a dynamic analytics team within an iconic D2C household consumer brand. Working with a wide range of datasets, you’ll support teams across Marketing, Product, UX, Logistics, and Finance to drive informed decision-making and strategic outcomes. Please note that this is a contract role until the end of the year and is paying up to £299 per day. This role is ideal for someone who is commercially minded, technically strong, and passionate about translating data into meaningful action.
Key Responsibilities:
- Analyse data from customer journeys, sales platforms, logistics, and financial systems to uncover trends and drive operational improvements.
- Interrogate structured and semi-structured datasets using SQL.
- Build dashboards and visualisations in tools such as Power BI, Tableau, or Qlik.
- Support behavioral analysis with UX tools.
- Collaborate with Data Engineers to shape data pipelines and access data via APIs.
- Integrate third-party market and industry data to support benchmarking and competitive analysis.
- Automate recurring reports while supporting deep-dive and ad-hoc analytical requests.
- Communicate insights clearly to both technical and non-technical audiences.
We are looking for:
- 4+ years of experience in BI, Data Analysis, or Insight.
- Strong SQL skills and experience working across varied datasets (e.g. customer, sales, web, finance).
- Proficiency in BI tools such as Power BI, Tableau, or Qlik.
- Hands-on experience with Adobe Analytics and Excel.
- Exposure to UX analytics platforms.
- Ability to work cross-functionally and influence stakeholders through data storytelling.
- Bonus: Python skills for data manipulation or automation.
Please apply for more information.
BI Analyst employer: The Change Partners - Global talent specialists for a connected world
Contact Detail:
The Change Partners - Global talent specialists for a connected world Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Analyst
✨Tip Number 1
Familiarise yourself with the specific BI tools mentioned in the job description, such as Power BI, Tableau, and Qlik. Consider creating a portfolio of dashboards or visualisations that showcase your skills in these tools, as this can set you apart during discussions.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on querying structured and semi-structured datasets. You might want to practice by working on sample datasets or contributing to open-source projects that require data analysis.
✨Tip Number 3
Prepare to discuss your experience with data storytelling and how you've influenced stakeholders in previous roles. Think of specific examples where your insights led to actionable outcomes, as this will demonstrate your commercial mindset.
✨Tip Number 4
Network with professionals in the BI field, particularly those who work with consumer brands. Engaging in relevant online communities or attending industry meetups can provide valuable insights and potentially lead to referrals for the role.
We think you need these skills to ace BI Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in BI, Data Analysis, and the specific tools mentioned in the job description, such as SQL and Power BI. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it drives decision-making. Mention specific projects or experiences that demonstrate your ability to translate data into actionable insights, particularly in a cross-functional environment.
Showcase Relevant Skills: Clearly outline your technical skills, especially your proficiency in SQL and BI tools like Tableau or Qlik. If you have experience with Adobe Analytics or UX analytics platforms, be sure to include that as well.
Prepare for Potential Questions: Think about how you would explain complex data insights to non-technical audiences. Be ready to discuss your approach to analysing datasets and how you've used data storytelling to influence stakeholders in previous roles.
How to prepare for a job interview at The Change Partners - Global talent specialists for a connected world
✨Showcase Your Technical Skills
Make sure to highlight your SQL expertise and experience with BI tools like Power BI, Tableau, or Qlik. Be prepared to discuss specific projects where you've used these skills to analyse data and drive insights.
✨Demonstrate Data Storytelling
Since the role requires communicating insights to both technical and non-technical audiences, practice explaining complex data findings in simple terms. Use examples from your past work to illustrate how you’ve influenced decisions through data storytelling.
✨Prepare for Cross-Functional Collaboration
This position involves working with various teams such as Marketing, Product, and Finance. Think of examples where you've successfully collaborated across departments and be ready to discuss how you can bring those experiences to the new role.
✨Familiarise Yourself with UX Analytics
Since the job mentions supporting behavioural analysis with UX tools, brush up on your knowledge of UX analytics platforms. Be ready to discuss how you can integrate these insights into your BI analyses to provide a more comprehensive view.
