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Introduction:

At Mass Analytics, Marketing Mix Modeling (MMM) projects are conducted following a predefined process based on the well known CRISP-DM process.
This six-phase process starts with setting the foundations of the project by accurately and thoroughly understanding the business requirements discovering the available data. After that comes the crucial data preparation phase where the data is processed and transformed into the required format. This phase is also culminated by a data check milestone to confirm the accuracy of the data with the different stakeholders.
After building the model and validating it, the project outcomes are reported to the client. In this final and important step, the project outcomes are delivered to share insights and actionable recommendations. The model is consequently deployed to help optimize future marketing budgets and improve KPI's
The Marketing Analytics summer internships will focus on the Data Preparation and Project Delivery steps. Two very important phases in the CRISP-DM process that require essential skills that should be acquired and harnessed by any successful data analyst wishing to work on modelling at a later stage.

Key attributes / Main competencies:

Engineering or Business School If Business, preferably Major Marketing or Finance & Minor in Analytics If Engineer, Major in Data Science, Applied Mathematics and Modeling Microsoft Office skills required, Experience with common data science toolkits (R, Python, etc…) is a plus Experience with common data visualization tools (Power BI, etc…) is a plus Fast learner, Enthusiastic and autonomous, Technical & Business oriented Analytical and problem-solving skills Tech & data Savvy knowledge Fluent in written and spoken English
Period: (2 – 3+ months)

Common Responsibilities:

Understand MMM process and outputs, Work closely with Marketing Science Team, Provide user guide documentations, Build a comprehensive presentation about the internship outcomes.

*Topic 1

2. Data Preparation

In today's business environment, data is being created and collected at an increasing pace. Consequently, organizations cannot expect manual data preparation processes to scale. Indeed, the success of most Data Analytics projects, including MMM, is highly correlated with the success of the data preparation phase.
At MASS Analytics, the Marketing Science team uses various data preparation tools to efficiently and accurately process the data. This data is usually complex with multiple formats and coming from various sources. These tools are designed to accelerate and facilitate the data prep phase through the creation of automated data processing pipelines.

2. Role:

Understand the context of MMM projects and their data preparation steps, Input Data, Reproduce Data preparation pipelines & Explore, Report bugs, if any, and suggest new features and improvements for the used tools Create new Data preparation pipelines to improve efficiency and reinforce automation.

Topic 2

1. Description:Reporting Results & Insights

Every MMM project ends with results & recommendations. This phase consists in communicating the project outcomes and findings to our end clients. In general, it takes the form of static presentations (e.g. PowerPoint) and/or dynamic dashboards (e.g. PowerBI). This phase is very crucial because we deliver the project results to help optimize marketing budgets and improve KPI's. Reporting results successfully demonstrates the Data Analysts' ability to address the stakeholders business questions and to provide the expected insights and recommendations.

2. Topic related Role:

- Understand projects contexts and the modeling, prediction, and optimization results.
- Gather projects specific information.
- Build dynamic dashboards based on previous project results.
- Use those results to conduct an analysis by industry segment.
- Provide new results visualization ideas.
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About MASS Analytics

We specialize in Marketing Mix Modeling (MMM) and Media Effectiveness Measurement. We offer our clients a comprehensive MMM software suite backed up by a wide range of managed services solutions to help identify sales drivers, measure MROI and optimize Marketing budgets.

Privacy policy for recruitment using Teamtailor

The service for handling recruitments and simplifying the hiring process (the "Service") is powered by Teamtailor on behalf of MASS Analytics ("Controller" “we” “us” etc.). It is important that the persons using the Service ("Users”) feel safe with, and are informed about, how we handle User's personal data in the recruitment process. We strive to maintain the highest possible standard regarding the protection of personal data. We process, manage, use, and protect User's Personal Data in accordance with this Privacy Policy ("Privacy Policy").

1. General

We are the controller in accordance with current privacy legislations. The Users’ personal data is processed with the purpose of managing and facilitating recruitment of employees to our business.

2. Collection of personal data

We are responsible for the processing of the personal data that the Users contributes to the Service, or for the personal data that we in other ways collects with regards to the Service.

When and how we collect personal data

make an application through the Service or otherwise, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn; and use the Service to connect with our staff, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn. provides identifiable data in the chat (provided through the website that uses the Service) and such data is of relevance to the application procedure;
We collect data from third parties, such as Facebook, Linkedin and through other public sources. This is referred to as “Sourcing” and be manually performed by our employees or automatically in the Service.
In some cases, existing employees can make recommendations about potential applicants. Such employees will add personal data about such potential applicants. In the cases where this is made, the potential applicant is considered a User in the context of this Privacy Policy and will be informed about the processing.

The types of personal data collected and processed

The categories of personal data that can be collected through the Service can be used to identify natural persons from names, e-mails, pictures and videos, information from Facebook and LinkedIn-accounts, answers to questions asked through the recruiting, titles, education and other information that the User or others have provided through the Service. Only data that is relevant for the recruitment process is collected and processed.

Purpose and lawfulness of processing

The purpose of the collecting and processing of personal data is to manage recruiting. The lawfulness of the processing of personal data is our legitimate interest to simplify and facilitate recruitment.
Personal data that is processed with the purpose of aggregated analysis or market research is always made unidentifiable. Such personal data cannot be used to identify a certain User. Thus, such data is not considered personal data.

The consent of the data subject

The User consents to the processing of its personal data with the purpose of Controller’s handling recruiting. The User consents that personal data is collected through the Service, when Users;
make an application through the Service, adding personal data about themselves either personally or by using a third-party source as Facebook or LinkedIn, and that Controller may use external sourcing-tools to add additional information; and* when they use the Service to connect to