National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Aimtru Brands
Derby
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (Viator)...

Artificial Intelligence & Digital Innovation Analyst - Construction

Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Natural Capital Data Scientist

Data Analyst 

Location: Remote / Pride Park, Derby (3 days remote, 2 days in office) 

Job Type: Full-time 

  

About Us 

Aimtru brands is a creative collective building innovative, sustainable brands in FMCG and omni-channel retail consumer markets. We're passionate about creating authentic, performance-focused products that prioritise ethics and wellbeing. Join our high-growth team and be excited to make a significant impact as we scale our brands. At Aimtru, you'll experience rapid professional growth and be part of our transformative journey in these dynamic markets. 

  

About the Role 

As the Data Analyst, you will play a crucial role in driving our data analytics capabilities and providing actionable insights to guide strategic decisions and operational processes. You'll work autonomously to analyse complex datasets, create sophisticated data models, and develop comprehensive Power BI solutions that not only report on but also actively shape our operational workflows. This position offers a unique opportunity to shape the data analysis function within our growing company and contribute significantly to our data-driven strategy in the FMCG and omni-channel retail space. 

  

Key Responsibilities 

Data Analytics, Reporting, and Operational Process Integration: 

- Spearhead the development of our data analytics capabilities to support analysis and operational processes across our product lines 

- Design, build, and maintain comprehensive Power BI dashboards that serve dual purposes: 

  1. Reporting and analysis, ensuring they meet the needs of various stakeholders 

  2. Facilitating and streamlining operational processes, integrating data-driven decision points into daily workflows 

- Create and implement advanced data models to support the Power BI dashboards and other analytical needs specific to FMCG and omni-channel retail operations 

- Conduct complex data analysis to uncover insights and drive both strategic business decisions and operational efficiencies 

- Create predictive models and scenarios for planning, forecasting, and real-time operational decision-making, taking into account market trends in FMCG and omni-channel retail 

- Continuously improve and expand our suite of Power BI dashboards to enhance data visualisation, decision-making capabilities, and operational process integration 

- Collaborate with operational teams to identify opportunities for data-driven process improvements and implement these through Power BI solutions 

  

Data Analysis and Management: 

- Lead data analysis efforts, including data mining, predictive modelling, and reporting for our brands 

- Develop and implement data models to support strategic decision-making and operational excellence 

- Analyse trends, customer behaviour, and market dynamics specific to FMCG and omni-channel retail 

- Ensure data quality, integrity, and compliance with relevant regulations and standards 

- Provide actionable data-driven insights and recommendations to senior management to drive growth and operational efficiency 

  

Data Quality and Governance: 

- Lead data tagging and cleansing initiatives to ensure high-quality, consistent data across all systems and operational processes 

- Develop and implement data governance policies and procedures that support both analytical and operational needs 

- Identify data gaps in operational processes and lead initiatives to enhance data collection and integration 

- Collaborate with teams to implement data quality improvements and promote a data-driven culture across all operational areas 

  

Leadership and Collaboration: 

- Collaborate with department heads to understand their data needs and develop appropriate data solutions and reports that enhance operational efficiency 

- Coordinate with our IT partner to ensure data systems meet our analytical and operational needs 

- Drive the adoption of data-driven decision-making across the organisation, leveraging data insights in FMCG and omni-channel retail contexts 

- Identify and implement process improvements and new technologies to enhance data analysis, reporting, and operational workflows 

- You will report directly to the CEO and have input on key business shaping decisions 

  

Requirements  

- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field; Master's degree preferred 

- Certifications in data analysis or business intelligence (e.g., Microsoft Certified: Data Analyst Associate) are highly valuable 

- 5+ years of experience in data analysis, with a strong focus on business intelligence and operational process improvement in FMCG or omni-channel retail 

- Proven track record in leading data analysis initiatives and developing data-driven insights that drive operational efficiencies 

- Advanced skills in data modelling and analysis, with a focus on operational applications 

- Expert proficiency in Power BI, including DAX, data modelling, and dashboard design, particularly in creating solutions that support operational processes 

- Advanced Excel skills 

- Experience in building and maintaining complex Power BI dashboards for reporting, analysis, and operational workflow support 

- Strong understanding of data analytics techniques and their application to business problems and operational challenges in FMCG and omni-channel retail 

- Experience in coordinating cross-functional projects that bridge analytics and operations 

- Proven ability to work autonomously and drive complex analytical projects from conception to completion, with a focus on operational impact 

- Excellent problem-solving abilities and analytical thinking skills 

- Outstanding communication skills, able to convey complex data concepts to diverse audiences through data visualisation and relate them to operational contexts 

- Demonstrated commercial acumen and ability to influence decision-making through analysis, particularly in operational settings 

  

Nice-to-Have 

- Experience with database management and data architecture, including structured and unstructured databases (e.g., MongoDB) 

- Knowledge of data security best practices in operational environments 

- Familiarity with cloud-based data storage and analytics solutions 

- Strong programming skills (e.g., Python, R) for advanced data analysis, automation, and operational process integration 

- Experience with data tagging and metadata management in operational contexts 

- Familiarity with data governance frameworks and best practices, particularly as they relate to operational data 

  

What We Offer 

- Competitive salary 

- 22 days of annual leave plus bank holidays and your birthday 

- Flexible working arrangements (3 days remote, 2 days in office) 

- Pension benefits 

- Professional development budget and opportunities 

- Chance to significantly impact the data strategy and operational efficiency of a dynamic, growing company in the FMCG and omni-channel retail space 

  

At Aimtru brands, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences. 

  

Interested candidates should submit their CV and a cover letter detailing their experience in data analysis, reporting, and operational process improvement, along with examples of how they've used data-driven insights to influence business decisions and enhance operational efficiency in FMCG or omni-channel retail markets. 

  

For more information on Aimtru Brands, view our website. To keep up with Aimtru news, follow us on LinkedIn. 

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.