Data Analyst

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 Analyst to 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.

Financial Reporting & Modelling

• 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.

️ Reporting Infrastructure & Automation

• 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

• Advanced Excel: dashboards, modelling, Power Query
• Strong SQL skills: writing, optimising, troubleshooting queries
• 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.