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- Tasks: Dive into data analysis, optimising pricing and building dashboards to drive business decisions.
- Company: Join Ocean Consult, a fast-growing, data-driven advertising and transport company.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and career progression.
- Why this job: Make a real impact by influencing top-level decisions and mentoring junior analysts.
- Qualifications: 5+ years in data analytics, proficient in SQL, and a degree in Statistics or Applied Mathematics.
- Other info: Diversity and inclusion are core values; all qualified candidates are encouraged to apply.
The predicted salary is between 30000 - 42000 £ per year.
4 days ago Be among the first 25 applicants
Direct message the job poster from OCEAN CONSULT LIMITED
Transformation Lead |Agile Delivery Lead | Trainer | Technical Lead | Agile Coach | Scrum Master
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Join a Fast-Growing, Data-Driven Business
Are you a commercially minded analyst with a passion for using data to solve real-world business problems? We\’re partnered with a fast scaling Advertising & Transport business looking for a Data Analystto drive data strategy, performance insights, and operational excellence across a dynamic, high-growth environment.
As a key player in the business, you\’ll work closely with senior leadership and cross-functional teams to build and own analytics frameworks that directly influence commercial decisions, pricing, operations, and financial planning.
What You\’ll Do
Business & Commercial Analysis
- Analyse revenue, customer churn, and rental trends by location, vehicle type, and customer segment.
- Optimise pricing and packages using data-driven segmentation and market insights.
- Build dashboards for commercial leaders tracking lead generation, campaign performance, and sales funnel metrics.
- Develop models to support growth planning, forecasting, and strategic investments.
- Monitor and enhance operational KPIs like vehicle utilisation, idle time, and maintenance cycles.
- Build predictive models for vehicle demand, depot performance, and resource allocation.
- Identify inefficiencies in service processes, proposing actionable improvements.
- Partner with finance leadership to deliver board-ready reports and scenario models.
- Track metrics such as gross margin, depreciation, media revenue, and segment-level profitability.
- Design tools for department heads to access real-time, actionable data for smarter decision-making.
- Own and scale business-wide reporting through Power BI, SQL, and Excel.
- Consolidate and clean data from CRM, fleet, rental, and finance systems.
- Automate recurring reports and empower non-technical teams with self-serve dashboards.
Strategic Business Partner
- Work alongside the CEO, MD, and CFO, presenting insights that influence top-level decisions.
- Mentor junior analysts and champion a culture of data-led decision making.
- Identify new opportunities, revenue streams, and strategic shifts through data.
What You Bring
Experience & Background
- 5+ years of experience in commercial, finance, or operational data analytics.
- Proven experience in a high-growth or fast-paced business environment.
- Hands-on role with leadership exposure and direct business impact.
Technical Expertise
- Power BI (or similar): dashboard development for operational and strategic users
- Comfortable managing data from multiple systems (CRM, finance etc)
Key Skills:
- Data Tables
- Data Mapping
- SQL
- Json
Business Acumen
- Strong grasp of P&L, gross margin, cost centres, and operational KPIs
- Experience with pricing strategies, retention models, and churn reduction
- Deep understanding of how analytics can drive commercial decisions
Soft Skills
- Confident communicator with strong presentation skills
- Collaborative mindset with experience influencing at the exec level
- Proactive, solutions-focused, and highly organised
Why Apply?
- Impact– Work that directly influences commercial, operational, and financial outcomes
- Exposure– Regular interaction with senior decision-makers and execs
- Progression– Fast-track opportunities into data leadership or strategic planning
- Environment– Be part of a tight-knit, fast-moving business with ambitious growth plans
Ocean Consult is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training.
Qualifications
- Bachelor\’s or Master\’s degree in Statistics or Applied Mathematics or equivalent experience
- 1 – 2 years\’ Data Analysis experience
- Proficient in SQL
If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Business Consulting and Services
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Data Analyst employer: OCEAN CONSULT LIMITED
Contact Detail:
OCEAN CONSULT LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power BI and SQL. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Research the company’s recent projects or initiatives related to data analytics. This will not only help you understand their business better but also allow you to ask insightful questions during your interview, showcasing your genuine interest.
✨Tip Number 3
Prepare examples of how you've used data to drive business decisions in your previous roles. Be ready to discuss specific metrics and outcomes that resulted from your analyses, as this aligns with the role's focus on commercial impact.
✨Tip Number 4
Network with current or former employees of Ocean Consult Limited on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the application process.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly in commercial or operational settings. Emphasise your proficiency in SQL and any experience with Power BI or similar tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to solve business problems. Mention specific examples of how you've used analytics to drive decisions or improve processes in previous roles.
Showcase Technical Skills: Clearly outline your technical expertise in data management and analysis. Include specific projects where you developed dashboards, built predictive models, or automated reports, as these are key responsibilities for the role.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and collaboration. Provide examples of how you've influenced decision-making at a senior level or mentored junior analysts, as these qualities are highly valued.
How to prepare for a job interview at OCEAN CONSULT LIMITED
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to solve business problems. Highlight your experience with tools like Power BI and SQL, and be ready to explain your thought process behind your analyses.
✨Understand the Business Context
Research Ocean Consult Limited and their industry. Understand their business model, key metrics, and challenges they face. This will help you tailor your responses and demonstrate your commercial awareness during the interview.
✨Prepare for Technical Questions
Expect questions that test your technical expertise in data analysis. Brush up on SQL queries, data mapping, and dashboard creation. You might be asked to solve a problem on the spot, so practice common scenarios beforehand.
✨Demonstrate Soft Skills
As a Data Analyst, you'll need to communicate insights effectively. Prepare to showcase your presentation skills and ability to collaborate with cross-functional teams. Share examples of how you've influenced decisions at an executive level.