Junior Data Analyst

The Junior Data Analyst will support data-driven decision making across DIY Kitchens by transforming complex business, operational, customer and product data into meaningful insights and actionable reporting.

The role will be responsible for assisting with developing and maintaining business intelligence dashboards, improving reporting processes and delivering accurate analysis that supports strategic and operational decision making across the business.

Working closely with stakeholders across Manufacturing, Operations, Sales, Marketing, Digital, Finance, Product and Customer Service teams, the successful candidate will provide insight into business performance, identify trends and opportunities, and support continuous improvement initiatives.

A strong understanding of kitchen manufacturing, kitchen products and the customer buying journey will be essential in ensuring reporting and analysis remain commercially relevant and valuable.

Key Responsibilities

Product & Commercial Analysis

• Develop a strong understanding of DIY Kitchens’ products, ranges and customer buying behaviours.
• Analyse product performance, sales trends and customer purchasing patterns.
• Support pricing, product development and merchandising decisions through data analysis.
• Identify opportunities to improve product performance and category growth.
• Provide insights into conversion, attachment rates and customer purchasing trends.

Business Intelligence & Reporting

• Help maintain business intelligence dashboards and reporting tools.
• Produce regular performance reporting for operational, commercial and strategic stakeholders.
• Deliver timely and accurate reports that support business decision making.
• Develop meaningful KPIs, scorecards and management information to track business performance.
• Support senior leaders with data-driven insights and recommendations.

Data Analysis & Insight

• Analyse large data sets to identify trends, opportunities, risks and areas for improvement.
• Translate data into meaningful business insight for both technical and non-technical audiences.
• Investigate business performance variations and identify root causes.
• Support forecasting, planning and performance measurement activities.
• Provide recommendations based on evidence and analytical findings.
• Monitor performance across key business functions and highlight opportunities for optimisation.

Manufacturing & Operational Analysis

• Analyse manufacturing performance, productivity and efficiency data.
• Support improvement initiatives through data collection and performance measurement.
• Identify trends relating to production, quality, operational performance and customer demand.
• Work closely with operational teams to understand reporting requirements and business challenges.
• Support continuous improvement initiatives through accurate and meaningful analysis.

Data Quality & Governance

• Maintain high levels of data accuracy, consistency and integrity.
• Identify and resolve data quality issues.
• Develop processes that improve reporting accuracy and reliability.
• Ensure reporting methodologies are consistent and clearly documented.
• Support best practice data governance across the business.

Stakeholder Collaboration

• Work closely with colleagues across all departments to understand reporting needs.
• Gather requirements and translate business needs into practical reporting solutions.
• Present findings and recommendations in a clear and engaging manner.
• Support users in understanding and utilising business intelligence tools.
• Build strong relationships with stakeholders throughout the organisation.

Key Performance Indicators

Performance measures may include:

• Reporting accuracy
• Report and dashboard delivery timelines
• Dashboard usage and stakeholder satisfaction
• Data quality improvements
• Business insight recommendations implemented
• Reporting automation improvements
• KPI development and adoption
• Contribution to operational and commercial improvements

Essential

• Advanced Microsoft Excel skills.
• Experience writing and understanding SQL queries.
• Strong analytical and problem-solving skills.
• Ability to interpret complex data and communicate findings clearly.
• Strong attention to detail and data accuracy.
• Ability to manage multiple priorities and projects simultaneously.
• Excellent communication and stakeholder management skills.
• Understanding of kitchen products, kitchen manufacturing or the kitchen retail sector.

Desirable

• Previous experience in a data analyst, BI or reporting role, including building dashboards and management reports using Power BI or similar BI tools.
• Experience within kitchen manufacturing or home improvement industries.
• Experience with data modelling and data warehouse structures.
• Knowledge of automation and data integration techniques.
• Experience supporting executive reporting.
• Understanding of customer journey and commercial performance analysis.
• Experience within a manufacturing environment.
• Collaborative and supportive.
• Comfortable working with stakeholders at all levels.
• Solutions focused with a continuous improvement mindset
• Able to simplify complex information and present clear recommendations.

• Canteen
• Company pension
• Employee discount

DIY Kitchens is the UK’s number 1 online kitchen retailer with three multiple advanced manufacturing and logistics sites in Yorkshire. We’ve been manufacturing our kitchens since 1982 and pride ourselves on producing stunning kitchens that our customers love - finished to the highest standard and built to last. We’re rated Excellent by our customers on Trustpilot and have been awarded Best Rated Kitchen Brand by Which? magazine. Join our team of 700+ colleagues and grow your career with us - in return, you’ll enjoy fantastic benefits, stability, and the chance to be part of a friendly, dynamic company.