Data Analyst

"Ambitious." People say it like it's a bad thing.

Ambitious brands fight for their place. They believe they can go head-to-head with multinational giants, and win.

Want to be the one that strategically helps them achieve that ambition?

About Ranged

We help ambitious FMCG brands with strong social followings and online sales punch way above their weight in retail by combining:

• Deep retail understanding

• Practical, data-led insight

• And a team that actually gets sh*t done.

We are expanding our analytics capability and seeking a highly capable Data Analyst to join our growing team.

Role Purpose

The Data Analyst will transform retail, shopper, and product data into clear, actionable insights for brand partners and retail customers. This role is responsible for preparing high-quality range review packs, identifying commercial opportunities through data, and supporting the delivery of strategic recommendations that drive profitable growth.

Key Responsibilities

1. Retail Data Analysis & Insight Generation

• Analyse large datasets from retailers, brands, and syndicated partners to identify trends, performance drivers, and growth opportunities.
• Develop category, product, and brand insights that support commercial strategy and decision-making.
• Clean, structure, and validate raw retail data from multiple sources (e.g., scan data, warehouse data, retailer portals, POS feeds).

2. Range Review Preparation

• Build best-practice insight packs for retailer range reviews, ensuring accuracy, clarity, and commercial relevance.
• Prepare category overviews, performance diagnostics, assortment gap analysis, and SKU rationalisation recommendations.
• Work closely with internal consultants to translate data outputs into compelling narratives and visual recommendations.

3. Reporting, Dashboards & Visualisation

• Create automated dashboards and reports using tools such as Power BI, or Excel.
• Present insights visually in a clear, intuitive format tailored for brand stakeholders and retail buyers.
• Maintain internal reporting templates and continuously enhance our data visualisation standards.

4. Stakeholder Collaboration

• Partner with client-facing teams to understand insight needs and project objectives.
• Support client presentations by preparing high-quality visuals, charts, and data stories.
• Engage with external data providers to source, check, and interpret data correctly.

5. Data Management & Quality Assurance

• Ensure clean, accurate, and well-structured datasets for analysis and reporting.
• Establish quality checks to reduce errors and improve efficiency in data workflows.
• Contribute to improving internal systems, processes, and automation.

Skills & Experience

Essential

• Experience in data analysis, business insights, or category management (retail/FMCG preferred).
• Strong proficiency in Excel
• Ability to interpret retail or commercial data and turn it into meaningful insights.
• Strong analytical thinking and attention to detail.
• Ability to create visually clean, professional insight decks for commercial audiences.
• Excellent communication skills, including the ability to explain complex data simply.

Desirable

• Experience with retailer portals or syndicated data (e.g., Quantium, Circana, IQVia).
• Familiarity with range review processes or category strategy.
• Knowledge of SQL, Python, or other data manipulation tools.
• Previous experience in FMCG, retail strategy, or consulting.

Personal Attributes

• Curious, proactive, and eager to solve problems using data.
• Comfortable working in a fast-paced, project-based environment.
• Collaborative and team-oriented.
• High level of professionalism, organisation, and responsibility.
• Unafraid to get into the detail/mundane tasks as a part of a broader data process.

Benefits

• Opportunity to work with leading brands and major retailers.
• Exposure to diverse data sources and commercial challenges.
• A supportive, growth-focused environment with room to develop technical and commercial skills.
• Flexible working arrangements.