- Company Name
- MillerKnoll
- Job Title
- Junior Data Analyst
- Job Description
-
**Job Title**
Junior Data Analyst
**Role Summary**
Transform raw data into actionable insights that drive real‑time decision making, sustainable growth, product profitability, and customer engagement across a UK B2B furniture manufacturer.
**Expectations**
- Deliver clear, evidence‑based recommendations to finance, marketing, sales, and operations.
- Build, maintain, and update analytical tools (competitor pricing database, product costing model, sustainability scorecards).
- Communicate complex findings to both technical and non‑technical stakeholders using dashboards and narratives.
**Key Responsibilities**
- Analyse sustainability performance to meet customer and regulatory requirements.
- Evaluate product profitability, cost‑to‑serve, and ROI on new/existing product lines; support pricing and margin improvement.
- Build and maintain a competitor pricing database and benchmark against market.
- Manage and update the product costing model; report material cost trends and supplier impacts.
- Optimise stock holding and analyse returns and warranty claims to reduce obsolescence and cost impact.
- Analyse customer behaviour, account profitability, lifetime value, and retention metrics.
- Measure marketing and digital performance via Google Analytics and other tools; track campaign ROI and channel effectiveness.
- Mine ERP, CRM, and web data sources to create dashboards, scorecards, and reports (e.g., customer profitability, campaign ROI, sustainability).
- Collaborate cross‑functionally with Sales, Marketing, Product, Finance, and Operations to align insights with strategy.
- Present clear, actionable recommendations to management and stakeholders.
**Required Skills**
- Strong analytical and quantitative skills.
- Advanced proficiency in Excel and data analysis tools.
- Experience building and managing competitor pricing and costing models.
- Familiarity with ERP/CRM systems in a manufacturing environment (SAP, Microsoft Business Central, Infor SyteLine).
- Ability to interpret large datasets and translate findings into commercial recommendations.
- Knowledge of ROI analysis for marketing and product launches.
- Excellent written and oral communication, with presentation skills for diverse audiences.
- Commercially minded, detail‑oriented, and curious, able to “tell the story” behind the data.
**Required Education & Certifications**
- Bachelor’s degree in Business Analytics, Data Science, Economics, Finance, or a related field (or equivalent experience).
- Relevant certifications (e.g., Microsoft Excel Expert, ERP‑specific credentials, analytics or data‑science certifications) are a plus.