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For Companies At a Glance
- Tasks: Analyse diverse datasets to deliver actionable insights and support data-driven decisions.
- Company: Join a dynamic analytics team in a forward-thinking company focused on digital and operational excellence.
- Benefits: Enjoy a flexible work schedule with 3 days in the office and competitive pay.
- Why this job: Make a real impact by collaborating across teams and shaping data strategies for growth.
- Qualifications: 4-7 years of experience in data analysis, with strong skills in SQL and BI tools.
- Other info: We value diversity and provide equal opportunities for all applicants.
The predicted salary is between 42000 - 84000 £ per year.
3 Days per week in Surrey office
8 Month Contract
£289 p/day Inside IR35
About the Role
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.
What We're Looking For
- 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 with these tools will not only boost your confidence but also demonstrate your technical capabilities during discussions.
✨Tip Number 2
Prepare to discuss your experience with diverse datasets. Think of examples where you've successfully analysed customer journeys or web performance, as this aligns closely with the role's responsibilities and will show your understanding of the business context.
✨Tip Number 3
Brush up on your communication skills, especially how to convey complex data insights to non-technical stakeholders. Practising how you would explain your findings can help you stand out during interviews, as clear communication is key in this role.
✨Tip Number 4
Network with professionals in the field, particularly those who work in analytics or data roles within DTC or retail businesses. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
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 for querying datasets, built dashboards, or automated reporting processes. 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 successfully did this, as it aligns with the key responsibilities of the role.
How to prepare for a job interview at Bodhi
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with tools like SQL, Excel, and any BI tools you’ve used, such as Power BI or Tableau. Bring examples of dashboards or reports you've created to demonstrate your capabilities.
✨Understand the Business Context
Research the company’s market position and its digital strategies. Be ready to discuss how your insights can drive decision-making in areas like marketing, sales trends, and operational efficiency.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with various teams, think of examples where you successfully collaborated with stakeholders from different departments. Highlight your communication skills and adaptability to different audiences.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in previous roles and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
