Data Analyst – Market Intelligence & Pricing
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Key skills for this role
Role Overview
The Data Analyst – Market Intelligence & Pricing role supports a B2B electronics trading business.
The role analyses market, product, pricing, sales, and competitor data to identify pricing opportunities, market trends, product movements, demand patterns, and commercial opportunities.
The role supports procurement, pricing, sales, and business strategy through hands-on analysis of large datasets and complex product information.
Key Skills for This Role
Full Job Posting
About the Role
The Data Analyst – Market Intelligence & Pricing role supports a B2B electronics trading business.
The role analyses market, product, pricing, sales, and competitor data to identify pricing opportunities, market trends, product movements, demand patterns, and commercial opportunities.
The role supports procurement, pricing, sales, and business strategy through hands-on analysis of large datasets and complex product information.
Market and Product Analysis
- Analyse market data across multiple electronics product categories, brands, models, and SKUs.
- Track product availability, market demand, price movements, new product launches, and product lifecycle trends.
- Conduct market sizing, segmentation, and trend analysis.
- Identify fast-moving, slow-moving, emerging, and declining products.
- Analyse historical data to identify seasonality and demand patterns.
- Monitor market movements and identify potential trading opportunities.
Pricing and Competitor Intelligence
- Collect, consolidate, and analyse pricing data from suppliers, distributors, competitors, and relevant market sources.
- Develop and maintain product-level price benchmarking and competitor pricing databases.
- Track changes in market prices and identify pricing trends.
- Analyse buying prices, selling prices, margins, discounts, and profitability.
- Develop pricing models and recommend optimal buying and selling price points.
- Monitor competitor pricing and provide pricing intelligence to management and commercial teams.
Sales and Commercial Analytics
- Analyse historical sales data by product, SKU, brand, customer, geography, and time period.
- Identify sales trends and factors influencing product performance.
- Analyse gross margins, contribution margins, and profitability at product and SKU level.
- Support sales teams with data-driven insights for pricing and product selection.
- Identify cross-selling, upselling, and portfolio expansion opportunities.
- Develop sales forecasts and demand projections where appropriate.
Data Management and Reporting
- Work with large and complex datasets from ERP, CRM, Excel, databases, and external market sources.
- Clean, validate, transform, and structure raw data for analysis.
- Identify inconsistencies, duplicates, missing information, and data-quality issues.
- Build and maintain analytical databases and structured product and pricing datasets.
- Develop automated dashboards and recurring management reports.
- Establish standardized reporting methodologies and data definitions.
Business Intelligence and Decision Support
- Build dashboards and analytical reports covering product performance, prices, competitors, margins, sales trends, inventory movement, demand, suppliers, and market opportunities.
- Translate complex analysis into clear commercial recommendations.
- Work with Procurement, Sales, Finance, and Management to support data-driven decision-making.
- Conduct ad hoc analysis and deep dives on specific products, markets, or commercial questions.
Key Deliverables
Product and SKU-level market intelligence database.
Competitor pricing database.
Price benchmarking models.
Product profitability analysis.
Market trend reports.
Sales and demand analysis.
Pricing and product performance dashboards.
Forecasting and trend models.
Automated management reports.
Data-driven recommendations for procurement and sales.
Required Skills and Experience
- 3–6 years of relevant experience in data analytics, business intelligence, commercial analytics, market intelligence, pricing analytics, or a similar role.
- Experience working with large datasets and high-volume transactional or product data.
- Strong expertise in Microsoft Excel, including advanced formulas, Pivot Tables, Power Query, and data modelling.
- Strong hands-on experience with SQL for querying and analysing large datasets.
- Experience with Power BI, Tableau, or another business intelligence or visualization platform.
- Strong understanding of data cleaning, transformation, validation, and analysis.
- Good understanding of statistical and analytical concepts.
- Experience in pricing analysis, competitor analysis, market intelligence, or commercial analytics is highly desirable.
- Experience working with ERP or CRM data is an advantage.
- Strong ability to work with SKU-level data and complex product catalogues.
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