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- Tasks: Analyse diverse datasets to deliver actionable insights and support data-driven decisions.
- Company: Join a dynamic analytics team in a forward-thinking organisation focused on digital and operational excellence.
- Benefits: Enjoy a competitive daily rate, flexible working arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by collaborating across teams and shaping data strategies that drive success.
- Qualifications: 4-7 years of experience in data analysis with strong skills in SQL, Excel, and BI tools.
- Other info: This role is based in Surrey, requiring 3 days a week in the office for an 8-month contract.
The predicted salary is between 42000 - 60000 £ per year.
We are looking for a commercially minded and technically capable Senior Data Analyst to join our growing analytics team. This high-impact role involves delivering insights across digital, commercial, and operational areas by working with a variety of customer, sales, behavioural, and market data.
You’ll work cross-functionally with stakeholders in Marketing, UX, Product, Logistics, and Finance, as well as with Data Engineers to enable scalable, data-driven decision making across the organisation.
Key Responsibilities- Analyse data from multiple internal systems including sales platforms, customer data sources, logistics, and financial planning tools and deliver actionable insights across customer journeys, web performance, digital marketing strategy, sales trends, stock movement, and operational efficiency.
- Support UX and behavioural analysis using tools that provide heatmaps, session replays, and user journey insights.
- Collaborate with Data Engineers to access data via APIs, define requirements, and help shape data pipelines and modelling.
- Build and maintain clear, user-friendly dashboards and reports in such as Excel, Tableau, Qlik, PowerBI or other tools to support commercial and operational teams.
- Use SQL to query and join datasets across multiple structured and semi-structured sources.
- Support assessing performance of new features or campaigns.
- Integrate and interpret third-party market and industry data to support benchmarking and competitive insights.
- Automate and scale reporting processes while supporting ad-hoc deep-dives and exploratory analysis.
- Communicate insights clearly to both technical and non-technical audiences, adapting to stakeholder needs.
- 4–7 years of experience in a Data Analyst, BI Analyst, or equivalent role, ideally within a DTC, retail, or digital-first business.
- Strong experience working across diverse datasets — including web analytics, customer & sales data, logistics, finance, and customer engagement platforms.
- Hands-on expertise with Adobe Analytics, Excel, and SQL.
- Proficiency with at least one BI tool: Power BI, Tableau, or Qlik.
- Exposure to tools like Contentsquare or other heatmap/UX tools.
- (Nice to have) Python for data manipulation, automation or advanced modelling.
- Understanding of data integration and familiarity with working alongside Data Engineering teams and API-driven sources.
- Ability to interpret and incorporate market intelligence or benchmarking data into internal reporting.
- Strong communication and stakeholder management skills.
A note on equal opportunities: We are an equal-opportunity employer and value diversity at our Company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
B.I. and Data Insights Analyst employer: Bodhi
Contact Detail:
Bodhi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land B.I. and Data Insights Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Adobe Analytics, Power BI, and SQL. Having hands-on experience or even a project showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work in DTC or retail environments. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your experience with cross-functional collaboration. Be ready to share examples of how you've worked with teams like Marketing, UX, or Finance to deliver actionable insights, as this is a key aspect of the role.
✨Tip Number 4
Showcase your ability to communicate complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, highlighting how your insights led to impactful decisions, as this will demonstrate your fit for the role.
We think you need these skills to ace B.I. and Data Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with BI tools like Power BI, Tableau, or Qlik. Emphasise your hands-on expertise with SQL and any experience you have with Adobe Analytics.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the B.I. and Data Insights Analyst role. Mention specific projects or experiences that demonstrate your ability to deliver actionable insights and collaborate with cross-functional teams.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. Include examples of how you've used SQL to query datasets or how you've built dashboards in Excel or other BI tools. This will show your capability to handle the responsibilities outlined in the job description.
Prepare for Potential Questions: Think about how you would communicate complex data insights to both technical and non-technical audiences. Prepare examples from your past work where you've successfully done this, as it’s a key requirement for the role.
How to prepare for a job interview at Bodhi
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Excel, and any BI tools like Power BI or Tableau. Be prepared to discuss specific projects where you used these skills to derive insights from data.
✨Understand the Business Context
Familiarise yourself with the company's industry and market position. Being able to discuss how your insights can impact their digital marketing strategy or operational efficiency will demonstrate your commercial mindset.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with various teams, think of examples where you've successfully collaborated with stakeholders from different departments. This will show your ability to communicate effectively across technical and non-technical audiences.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and illustrate your analytical thinking.
