Marketing Summer Intern Marketing · Tunis

Tunisia - Tunis Tunisia

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Topic 1: Analyze the Impact of AI-Powered SEO Strategy in a B2B Context



Description:



As an intern, you will be responsible for conducting a comprehensive analysis of the importance of AI (Artificial Intelligence) in SEO (Search Engine Optimization) and its application in business growth. This will involve researching the latest AI trends and best practices and analyzing the impact of AI on the SEO landscape to optimize the company's website and content for better visibility and higher rankings on search engines. The primary objectives of this internship are to:
Conduct a thorough analysis of the role of AI in SEO, including the impact of AI on the search experience, the development of AI-powered tools and algorithms, and the application of AI in business growth. Stay updated with the latest AI trends and best practices, ensuring that the company's SEO efforts remain relevant and effective in the ever-evolving digital landscape. Assist in the implementation of the AI-powered Content Creation and SEO plan, monitoring its performance and making data-driven decisions to optimize the company's website and content for better search engine rankings. Conduct regular AI-powered SEO audits and analyses to ensure that the company's website and content continue to meet the evolving standards and best practices in the industry.

Key attributes / Main competencies:



SEO: Good understanding of SEO principles and best practices, including keyword research, on-page optimization, link building, and technical SEO. Knowledge of Semrush and Ahrefs is a plus. Content Management System (CMS: Knowledge of WordPress is important for managing and optimizing the company's website. Web analytics: Knowledge of web analytics tools such as Google Analytics to track and measure website traffic and performance. Programming: Basic programming skills in Python or another programming language help automate tasks and develop AI-powered tools. Analytical skills Problem-solving skills Communication skills

Learning Outcomes:



Gain a deep understanding of the role of AI in SEO and its application in business growth. Gain hands-on experience with AI-powered SEO tools and algorithms. Learn how to create web scrapping tools that help extract data from different sources across the web.

Topic 2: Email Marketing Strategy Analysis



Description:



As an intern, you will be responsible for extracting and analyzing MA’s email marketing data and suggesting optimization tactics to drive leads for the growth team. This will involve analyzing the company's existing email content and lists, identifying opportunities for improvement, and developing a comprehensive plan to increase engagement and conversions. The primary objectives of this internship are to:
Implement tactics to optimize email engagement and response rates. Analyze the department’s email content, and structure to identify areas of improvement and better understand the needs and preferences of the targeted audience. Develop a content marketing strategy for the newsletter, including topic ideas, content formats, and editorial calendars, to ensure that the newsletter remains relevant and engaging to the subscribers.
Key attributes / Main competencies: Familiarity with email marketing, HubSpot, Excel, strong marketing fundamentals, English proficiency

Learning Outcomes:



By the end of this internship, you will have gained valuable experience and skills in email marketing, content marketing, newsletter promotion, and data analysis. You will have learned how to:
Conduct market research and analysis to understand the target audience and their needs, preferences, and behaviors. Design and implement a newsletter promotion strategy that aligns with the company's goals and brand identity, using various online channels and platforms
Create and edit engaging content that converts leads, using best practices for content marketing and email marketing
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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 Controller’s recruitment departmen
Post date: 18 May 2024
Publisher: Bayt
Post date: 18 May 2024
Publisher: Bayt