Ik zoek een stage

Stage VodafoneZiggo (Stage market & customer insights) (MM/MADS)

Wat zijn de behoeften van de klanten vandaag én de toekomst? Voor VodafoneZiggo staat deze vraag centraal voor de verdere groei van ons bedrijf. Market & Customer Insights voert marktanalyses uit op basis van onderzoek data en externe bronnen. 

Als stagiair in het Market & Customer Insights team help jij ons bij deze vraag en houd je je bezig bij het vinden van de juiste en meest actuele insights! Een stagiair(e) draait mee in ons team, maar er ook ruimte om aan een afstudeeropdracht te werken. Je kunt bij ons werken aan verschillende vraagstukken en je verder ontwikkelen. Hierbij coachen wij je gedurende jouw gehele stage. Tegelijkertijd gaan we ervan uit dat je ook tot een bepaalde hoogte zelfredzaam bent. We zoeken een stagiair(e) die graag wil leren en verantwoordelijkheid pakt. Een stagiair(e) die nieuwsgierig is en pro-actief meedenkt over oplossingen. Daarnaast vind je het leuk om mee te werken aan de opzet van onderzoeken (bijvoorbeeld via Qualtrics) en de resultaten hiervan te analyseren en rapporteren.

Een stagiair krijgt bij ons een standaardvergoeding en een teamlid als persoonlijke begeleider.

Wat verwachten wij van jou:

Meedraaien in het team en ondertussen werken aan eigen planning en stage-opdracht/scriptie.

• Minimaal twee dagen op locatie (Hoog Catharijne in Utrecht) werken.
• In deze stage werk je mee in het team, maar is er ook ruimte om aan je afstudeerscriptie te werken
• Er is sprake van een reis- & stagevergoeding
• Je volgt de master Marketing Management of Marketing Analytics and Data Science
• Je mag zelf met een vraagstuk komen

Wat je van VodafoneZiggo kan verwachten

Een uitdagende omgeving in een leuk team!

Internship at Wehkamp: (MADS)

Developments in (online) retail are moving incredibly fast. That’s why we continuously reinvent ourselves for our customers — and we've been doing so for over 70 years!

We offer over 400,000 different products from more than 2,500 brands in fashion and home categories. With more than 600,000 visitors on our website and app daily, we serve 2.1 million loyal customers.

Every day, we are here for families in the Netherlands — for those just starting out, those with grown children, traditional families, and blended families. In short, we’re here for every family, regardless of their stage, structure, or background. Through our personalized shopping experience, relevant collections, inspiring content, and unparalleled service, we help our customers make the most of their lives every day.

A successful brand is one that inspires. Behind this inspiring brand are more than 900 dedicated colleagues working in a transparent organization. Wehkamp has an open corporate culture that encourages creativity, development, and individual contributions.

Our challenge:

Wehkamp aims to become the number one brand in the minds and hearts of all families. To achieve this, we must always have a clear understanding of who our (potential) customers are and how best to serve them. Data plays a central role in this. Our marketing analysts ensure that, through the right analyses, we can better understand and predict our customers' journeys.

Your challenge:

As an intern, you’ll find it exciting to derive insights from the vast amount of data available. You’re up-to-date on the latest analysis techniques and know how to apply them effectively. Together with us, you will define a research project that allows you to leverage your talents and provides us with actionable insights — but most importantly, helps you successfully complete your Master’s program. If time allows, you will also be involved on an ad hoc basis in the ongoing projects of our marketing analysts.

What we expect from you:

As an intern in our Marketing Analytics department, we expect a healthy curiosity about our activities, strong self-discipline in following each step to make your internship a success, and, above all, the ability to make it an enjoyable experience for yourself in a department with a very young employee profile.

What you can expect from us:

You will be supported by your colleagues in an involved manner. We’ll help you explore our data environment, carry out your analyses, and interpret the results. We’ll also provide moral support if things get challenging. However, you’ll mostly be in the driver’s seat to make this period a success. The financial compensation is €500 per month.

WRITING YOUR THESIS AT DVJ INSIGHTS (MM/MADS)

We provide you with the opportunity to write your thesis with our data. You have the opportunity to work at the DVJ office in Utrecht either for some days a week or also for a whole week and ‘work along’. There is the option to work from home, which is the default if you only write your thesis based on our data. In case of working along, you would work partly on your thesis and partly on other projects, unrelated to your thesis. You will also follow different courses from our onboarding program for new researchers that teaches you among others how we work at DVJ Insights, how to develop a questionnaire, and how to program the survey in our survey software. The internships allowance is €400 per month when you work 40 hours a week.

WHO ARE WE?

DVJ Insights is an ambitious, innovative and fast-growing marketing research agency located in the Netherlands, the UK, Germany and Sweden with the ambition to be the best global agency for brand growth. We add value by helping our clients to better understand consumer behaviour, improve their brand positioning, realise more successful product introductions, and increase the effectiveness of their media campaigns. At DVJ Insights, almost 100 passionate colleagues from 5 different locations work for clients such as Philips, Samsung, Beiersdorf, Heineken, Cloetta, Domino’s, Nestlé, ING, Rituals, and the Dutch Central Government. We are a dynamic and informal place to work with people from different cultures and backgrounds.

WHAT CAN WE OFFER?

The opportunity to write your thesis at DVJ and be able to work with our data. We are conducting internal meta-analyses on a regular basis but want to learn even more from all the data we gather. By conducting research on our databases, we can gather a lot of general learnings on why some innovations are successful, how advertising becomes more effective, why brands grow and why they don’t, and the way media deployment can be optimised.

Therefore, you get the opportunity to work with data that is interesting, very rich and practically relevant. Furthermore, you will be able to use sophisticated econometric modelling to find interesting insights, both from an academic as well as a practical perspective. For a thesis topic, we can develop a topic together, and you would be able to use our panel for data collection. Or, since we conduct so many different studies and we have a lot of data, you have the option to work on one of the following topics:

1. Shopper missions (Marketing Analytics topic). For our clients we sometimes conduct customer journey or shopper mission studies. In those studies we examine what needs are triggers to go to the store and buy. Based on those studies we can identify different shopper missions, such as the shopper on the go, or doing the large groceries. Additionally, we have purchase data from Danish supermarkets available at the individual level for about two years, which was registered via an app. Thus, it includes all purchase receipts including product information for different supermarkets in different regions. There is also information on the users, namely age and region where they live. This enables you to examine whether the shopper missions as identified, can also be distinguished in the data. Combining this again with background information of the users, leads to rich insights on shopper missions and consumers. More specifically, one can think of the following research questions: Are certain categories bought more/less often for certain shopper missions? Are certain types of products (i.e., A-brands, private label, different pack sizes) more/less popular for certain shopper missions? Are certain consumers price sensitive for certain shopper missions? Do we observe brand loyalty versus variety seeking? Etc. etc.
2. Packaging (Marketing Analytics & Management topic). In today’s market, brands whose products are sold in retail face several challenges. As shelf space increasingly comes at a premium, each product will have to compete with many others for the consumer’s attention. And, especially for fast-moving consumer goods, where consumer involvement is relatively low and decision-making is primarily based on heuristic cues, it becomes vital that, within a fraction of seconds, a product’s package is able to capture the consumer’s attention and is identified as belonging to the brand (so that the product’s main features will also be linked to the brand). Therefore, DVJ’s vision is that a proper pack test should not only force consumers to pay attention to a package in evaluating it, but should also measure whether the package is able to immediately attract (positive) attention and link its key features to the brand. This database contains evaluation, associations and attention metrics for approximately 150 packs from about 10 countries and different categories. A few example research questions can be: what determines the success of packaging? Which elements are crucial for standing out on the shelf and what determines brand recall?
3. AI based eye-tracking validation (Marketing Analytics & Management topic). Recently we have been partnering up with a party that is able to predict with an AI-based tool, where people will look at an ad. They trained their AI tool on real eye-tracking data. We would like to know more about how the AI eye-tracking metrics relate to other elements from our pretest. One can think of the following questions (but do not feel limited to those): How does the online eye-tracking correspond to our own mouse-tracking? How does the online eyetracking relate to evaluation of an ad, brand recall, and engagement? What are elements in ads that generate much attention? And which less?
4. Cross-country differences in advertising response (Marketing Analytics & Management topic). Many brands nowadays operate at least at a somewhat global scale, i.e. they sell their products, and advertise them, across multiple countries. However, we still quite often observe the exact same advertisements being used across different countries, either because of the desire to save costs, or because one assumes that the advertisement will be perceived in a similar way across different markets. However, is this actually the case? Do typical "style elements" in ads invoke the same response across countries, or are there profound differences? And if so, can these differences be conceptually linked to the attributes of these countries (e.g. their national culture, socio-economic position, et cetera)? This project would require the coding of different ads in terms of several "style elements" they may or may not be using. We have different datasets available with different types of ads, namely for TV, TikTok, Online video, or OOH. We also have one specific dataset containing only Christmas TV commercials.
5. Valuable open ended feedback (Marketing Analytics & Management topic). In marketing research, we aim to collect respondents opinions and attitudes around a plethora of topics. Much market research relies only on quantitative measures such as pre-defined statements and questions. However, the danger is that important things are missed. And therefore, it is important to start with letting respondents share their stories and associations around a certain topic, without limiting them to pre-defined statements. However, the added value of this approach all lies within the richness of the open answers. We already did some internal tests to see how we can enhance richness of the open answers, for example by using a social nudge and through AI-SmartProbing technology (using AI to ask follow-up questions). What are more ways to ensure qualitatively rich open answers in online survey research? Are there any new ways known in academic research and if so, how effective are these? And related to this: what are cost and time efficient ways to filter out AI-generated answers?

WHO ARE WE LOOKING FOR?

A master student (M/F/O) with a marketing (research) or psychology/consumer behaviour background. Do you recognise yourself in these points? We are looking for someone who:

• Is studying econometrics, data science, computer science, marketing management, marketing analytics and data science marketing research, psychology, (technical) business studies, or anything related
• Is interested in consumer research and the why behind the what
• Loves (marketing) data and modelling
• Knows how to handle big data from multiple sources
• Can identify interesting research topics based on (patterns in) the available data
• Has excellent knowledge of different statistical software packages such as SPSS or R
• Has excellent knowledge of MS Office
• Is fluent in English
• Is willing to go the extra mile
• Has high quality standards

Noordhoff: the challenge (MADS)

Education is evolving. Digitalization and flexibilization of education have gained momentum in recent years. This means a challenge for schools, but also for Noordhoff. Noordhoff is a publisher of educational materials (including Getal & Ruimte, Nieuw Nederlands, and the Bosatlas) with almost 200 years of experience. Every day, more than 2 million people of all ages work and learn with Noordhoff's educational solutions. Therefore, an important issue is: How can Noordhoff transition from a traditional publisher to a company that creates blended learning solutions? Noordhoff is in the midst of this transformation. Blended learning solutions refer to the optimal combination of digital and folio educational materials that can be used individually and in the classroom. Every day, we discover how learning can be optimized. With smart methods, personal attention, up-to-date teaching materials, and new technology. Always with the knowledge of today and curious about tomorrow's learning. 

We observe that the competitive field is expanding, and the introduction of AI may further amplify this expansion. There are many tech initiatives from startups as well as larger players such as Google and Amazon, which offer user-friendly products. Startups might possess the needed technology but often lack knowledge of didactics, alignment with curricula, and high-quality content. Traditional publishers typically excel at content creation but may lack technological expertise. 

There is a lot of data available at Noordhoff on various topics such as digital use of our educational solutions, contact with customer service, and online marketing activities. Will you help us use this data for the future of education and to help teachers teach more efficiently and effectively?

Various use cases require our attention to be picked up with the help of quantitative research (data science). Previous interns have focused on questions such as "Does increased or decreased contact with customer service increase the likelihood that customers will leave Noordhoff?", "Is there a relationship between digital use and study results?", "Which marketing action is most effective?", "Are there different user profiles for our online teaching materials?", "Which teachers appreciate which teaching methods?". These and other questions remain relevant and we would be happy to explain them further during an interview.

What do you bring?

• You are studying in the field of Marketing Analytics & Data Science.

• You have a passion for and experience with quantitative (big) data analysis.

• You are motivated, independent, and curious.

• Knowledge of R is a requirement, experience with Python is a plus.

• SQL knowledge is a plus.

• You are available full-time (1 day per week working, 4 days researching), with the possibility of taking additional courses at the university.

What do we offer?

• Get to know the practice: get familiar with different functions within a data & analytics team, attend meetings, get to know analytical tools used in practice (such as PowerBI and Mixpanel), and discover business processes.

• Introduction to marketing automation (such as (near) real-time reports in Power BI, real-time product analytics in Mixpanel, and data warehousing in Snowflake).

• Access to big datasets.

• Experienced (internship) supervisors who provide intensive guidance and can provide a bridge between the university and the business world due to their background.

• Generous internship compensation.

• A workplace in our office in Groningen within the Data & Analytics team. Hybrid working is possible on agreement.

• Time and space to complete any additional courses at university.

More information

www.infinitaslearning.com

To be announced.

To be announced.