Commercial Data Analyst

As a Commercial Data Analyst at KPN, we expect you to have a master's or bachelor's degree in, for example, Econometrics, Market Intelligence, Business Analytics, or Economics with strong data skills. Additionally, you recognize yourself in the following profile:

• Excellent communication skills in Dutch to translate insights into business impact
• Knowledge of SQL and experience writing complex queries
• Experience with data science techniques, statistics, and machine learning models
• Strong analytical skills and problem-solving ability
• At least 5 years of work experience in a similar role
• An independent working attitude and the ability to weigh the priorities of stakeholders
• Knowledge of data visualization techniques such as PowerBI and the ability to present complex insights comprehensibly.

Preferably knowledge of and experience with data mesh structures and Microsoft Fabric.

Of course, as an employer, we also have a lot to offer you. This is what you get from us:

• A gross monthly salary of at least € 5216,- and at most € 7843,- depending on your work experience, based on 40 hours
• A fixed 13th month; part of it is paid out monthly and part in January of the following year. Or, you can use it towards a FLEX & BOOST goal of your choice! Click here to read more about it
• An annual individual and collective increase in accordance with our CAO
• € 1500 per year in availability budget that you may use at your own discretion for, for example, training, coaching, and courses
• Flexible days off: our colleagues may decide for themselves (in consultation with the manager) how they manage their leave
• A good work-life balance (such as 2 days in the office, 3 days at home, transition leave, exchanging a public holiday for a holiday of your religious or cultural preference)
• Home office workshop to optimally set up your workspace at home, including a mobile phone & laptop, of course
• 50% discount on our products and services, so you can browse the internet, call, and stream affordably
• Good travel expense reimbursement: you receive full reimbursement for your public transport costs or € 0.23 per kilometer if you travel by car. Prefer to come by bike? Then you can claim our bicycle allowance of € 0.40 per kilometer
• Possibility to purchase a lease bike that KPN contributes to monthly (with an indefinite contract): from city bikes to e-bikes and from racing bikes to speed-pedelecs; you choose what you ride
• Excellent pension conditions: a total contribution of 25% of your pensionable salary, of which KPN contributes 17.5% and you 7.5%

In this role, you will engage in daily dialogue with your colleagues within Consumer Market to understand their challenges and translate these into analytical solutions. You translate complex data structures into crystal-clear insights for acquisition, customer retention, base management, and loyalty. You make commercial recommendations, perform campaign evaluations, and model personalized offers. You create models that contribute to KPN's personalization strategy. Your insights and advice contribute to strategic decisions. In doing so, you work together with marketers, campaign managers, online specialists, business controllers, data experts, data scientists, and engineers. Our teams work in a data-driven manner on many different projects, all with the goal of making a difference for all KPN customers.

Your responsibilities include, among other things:

• Creating new insights and opportunities to personalize offers via all channels. You will naturally do this with a broad and rich dataset of millions of mobile and broadband customers at KPN.
• Creating models to support marketing and decision-making.
• Collaborating in multidisciplinary business teams: marketing, digital, campaigning, analytics, process, and data teams. Your analyses make an impact and contribute to KPN's results.
• Taking on projects that you are enthusiastic about! Convince the business of your ideas and advice. By stepping into the role of your stakeholder, you understand their challenges and provide exactly the right advice.
• Proactively and reactively advising and setting up marketing experiments to make marketing more data-driven and fact-based. You actively share your knowledge with colleagues to enable everyone to work in a more data-driven manner.