Internship / Graduation Project: Data-Driven Pricing & Sales Analytics

RAVO Fayat Group; Alkmaar; On-site; EUR 6,700 - 13,000; Part time

Benefits offered by this job

Mentorship

Flexible schedule

Office in Alkmaar

Job summary

RAVO Fayat Group is seeking a student intern to strengthen pricing and sales processes through data-driven insights. You will support pricing analytics, segmentation, and market benchmarking, leveraging SAP/Excel/SQL data and Power BI to inform recommendations.

Ideal candidates are analytical, comfortable with data, and pursuing HBO/WO studies in analytics, industrial management, or economics. The internship offers exposure to pricing workflows and cross-functional collaboration in Alkmaar, the

Qualifications

• Currently enrolled in HBO/WO and pursuing relevant analytics/industrial focus.
• Strong affinity for data, analytics and commercial strategy.
• Ability to structure ambiguous problems and communicate clearly.

Responsibilities

• Gather, clean, and connect data from SAP / Excel / SQL and external sources.
• Build insights in Power BI and/or structured analysis reports in Excel.
• Translate findings into actionable pricing and sales recommendations.
• Present outcomes to stakeholders (Sales, After Sales, Controlling).

Skills

Data analytics

Pricing analytics

Excel proficiency

Power BI

SQL basics

Communication

Presentation

Education

HBO/WO in Business Analytics or Data Science

Industrial Engineering & Management or Technical Business Administration

Econometrics / Business Economics / Applied Economics

Supply Chain / Logistics / Operations Management

International Business / Commercial Economics (analytics)

Tools

SAP

Excel

SQL

Power BI

Job description

Why this internship?
Parts Sales Export and Domestic is where commercial reality meets data. Every day we balance profitability, competitiveness, and customer trust across international markets. To strengthen our pricing and sales processes, we’re looking for a student who likes turning data into clear insights and practical recommendations.

What you will work on (high-level)
You’ll support the development of a more structured, data-driven approach to parts pricing and commercial decision-making. Depending on your interests and study requirements, your scope can include:

• Pricing & margin analytics: identify margin opportunities and pricing inconsistencies;

• Segmentation & differentiation: propose pricing strategies by product family, market, region, or lifecycle phase;

• Market and competitor signals: set up a lightweight approach for benchmarks and tender tracking;

• Business impact analysis: explore how the electrification of sweeper fleets may shift parts demand and revenue and propose countermeasures;

• Process improvement: contribute to a clearer pricing workflow (roles, decision logic, supporting tools).

Your responsibilities (examples)

• Gather, clean, and connect data from SAP / Excel / SQL and external sources;

• Build insights in Power BI and/or structured analysis reports in Excel;

• Translate findings into actionable pricing and sales recommendations;

• Present outcomes to stakeholders (Sales, After Sales, Controlling).

What you will deliver
Your output will be tailored to your internship/thesis, but may include:

• A pricing and margin opportunity scan (insights + prioritized actions);

• A segmentation model and proposal for differentiated pricing rules;

• A dashboard or reporting package (Power BI/Excel);

• A short business case quantifying potential impact;

• A clear final presentation and implementation roadmap;

• Various data analyses required to aid decision-making.;

• Market data used to determine the pricing of our various spare parts families.

Who we’re looking for

You are:

• Analytical and curious, comfortable working with data;

• Interested in the intersection of commercial strategy + analytics;

• Able to structure ambiguous problems and communicate clearly;

• Confident with Excel; familiar with Power BI/SQL is a big plus.

Suitable study backgrounds (HBO/WO)

• Business Analytics / Data Analytics / (Applied) Data Science;

• Industrial Engineering & Management / Technical Business Administration;

• Econometrics / Business Economics / Applied Economics;

• Supply Chain / Logistics / Operations Management;

• International Business / Commercial Economics (with strong analytics affinity).