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Marketing Digital, Data & IT (H/F) - Alternance

Allianz Insurance
Full-time
On-site
Puteaux, Île-de-France, France
🌐 Digital Marketing
πŸ“Œ Core Information πŸ”Ή Job Title: Marketing Digital, Data & IT (H/F) - Alternance πŸ”Ή Company: Allianz Insurance πŸ”Ή Location: Puteaux, Île-de-France, France πŸ”Ή Job Type: Internship πŸ”Ή Category: Marketing πŸ”Ή Date Posted: May 29, 2025 πŸš€ Job Overview Key aspects of this role include: - Marketing Digital: Participating in B2B marketing acquisition campaigns with a focus on lead generation through a combination of marketing, data, and IT tools. - Data Analysis: Analyzing campaign performance, optimizing lead generation strategies, and contributing to data-driven decision-making. - IT Systems: Collaborating with IT teams to ensure smooth operation of marketing tools and systems, and contributing to technical project management. - Project Management: Coordinating with cross-functional teams to deliver marketing campaigns and projects on time and within budget. ASSUMPTION: This role requires strong analytical skills, project management capabilities, and effective communication skills. A successful candidate will be able to thrive in a dynamic, fast-paced environment and contribute to the team's success. πŸ“‹ Key Responsibilities βœ… Marketing Digital: - Participate in the creation and implementation of B2B marketing campaigns. - Collaborate with prestataires externes and internal teams to ensure campaign success. - Monitor and analyze campaign performance, and propose optimizations. βœ… Data Analysis: - Exploit, analyze, and visualize campaign data to derive insights and inform decision-making. - Contribute to the development of data-driven marketing strategies. βœ… IT Systems: - Collaborate with IT teams to ensure the smooth operation of marketing tools and systems. - Contribute to technical project management and provide support for marketing IT projects. ASSUMPTION: The role requires strong analytical skills, attention to detail, and the ability to work effectively with cross-functional teams. 🎯 Required Qualifications Education: - Pursuing a Bac+4/5 degree (e.g., from an engineering school, business school, or university) with a strong focus on marketing, data, or a related field. Experience: - No relevant work experience is required for this internship. Required Skills: - Strong analytical skills and attention to detail. - Excellent project management skills and the ability to work effectively in a team. - Proficiency in Excel (TCD, macros VBA, etc.) and Python (scripts for automation, data analysis, etc.). - Familiarity with SQL (reading and querying databases) and data visualization tools (Power BI, Streamlit Python, etc.). - Knowledge of marketing tools (Adobe Analytics, Campaign Manager, etc.) and IT systems (API, BDD, Cloud, etc.). - Basic understanding of AI and its potential applications in marketing. Preferred Skills: - Familiarity with marketing automation tools and CRM systems. - Knowledge of the insurance industry. ASSUMPTION: The ideal candidate will have a strong academic record, relevant coursework, and a genuine interest in marketing, data, and IT. They will also possess excellent communication skills and the ability to work effectively in a team. πŸ’° Compensation & Benefits Salary Range: The salary for this internship is not explicitly stated. However, based on industry standards for similar roles and experience levels, the estimated salary range is €1,500 - €2,000 per month. Benefits: - Attractive compensation package. - Remote work options. - Paid leave (28 days per year). - Meal subsidies (carte restaurant and cantine d'entreprise). - Training opportunities. - Access to the company's Employee Committee. - Dedicated onboarding process for alternants. - Good social coverage. Working Hours: The working hours for this internship are not explicitly stated. However, based on industry standards for similar roles, the estimated working hours are 35-40 hours per week. ASSUMPTION: The salary and working hours for this internship may vary based on the candidate's qualifications and the company's internal policies. πŸ“Œ Applicant Insights Company Context Industry: The insurance industry is highly competitive and dynamic, with a strong focus on data-driven decision-making and digital marketing. Company Size: Allianz France is a mid-sized company with approximately 8,000 employees in France and 150,000 employees globally. This size allows for a more personal and agile work environment, with ample opportunities for growth and development. Founded: Allianz was founded in 1890 and has since grown into one of the world's leading insurers and asset managers, operating in over 70 countries. Company Description: Allianz France is committed to providing high-quality insurance products and services to its clients, with a strong focus on innovation, performance, and agility. The company values diversity, inclusion, and employee development, and strives to create a positive and supportive work environment. Company Specialties: Allianz France specializes in insurance, asset management, and financial services, with a strong focus on innovation and digital transformation. Company Website: careers.allianz.com ASSUMPTION: Allianz France is a well-established and respected company in the insurance industry, with a strong commitment to innovation, performance, and employee development. Role Analysis Career Level: This internship is an entry-level position, ideal for recent graduates or students pursuing a Bac+4/5 degree. It offers an excellent opportunity to gain practical experience in marketing, data, and IT, and to contribute to the company's success. Reporting Structure: The intern will report directly to the team manager of the Gestion des leads & Outils dédiés team within the direction Leads & Data. Work Arrangement: The work arrangement for this internship is hybrid, with one day per week spent in the office. This allows for a good balance between remote work and in-person collaboration. Growth Opportunities: This internship offers numerous growth opportunities, including the possibility of a full-time position upon completion. It also provides the chance to work on high-impact projects and contribute to the company's strategic goals. ASSUMPTION: The role offers excellent opportunities for professional growth and development, with the potential for a full-time position upon completion. Location & Work Environment Office Type: The office for this internship is located in Puteaux, a suburb of Paris, France. The office type is not explicitly stated, but based on industry standards, it is likely to be a modern, professional environment. Office Location(s): The internship is based at the Allianz France headquarters in Puteaux, France. Geographic Context: Puteaux is located in the western suburbs of Paris, with easy access to public transportation and major highways. The area offers a mix of urban and suburban living, with numerous amenities and cultural attractions nearby. Work Schedule: The work schedule for this internship is not explicitly stated. However, based on industry standards for similar roles, the estimated work schedule is Monday to Friday, with flexible hours to accommodate remote work. ASSUMPTION: The work environment for this internship is likely to be dynamic and collaborative, with a strong focus on teamwork and communication. Interview & Application Insights Typical Process: The typical interview process for this internship is not explicitly stated. However, based on industry standards, it is likely to include an initial phone or video screening, followed by one or more in-person or virtual interviews with the hiring manager and other team members. Key Assessment Areas: The key assessment areas for this internship are likely to include analytical skills, project management capabilities, communication skills, and cultural fit. The interview process may also include case studies or scenario-based questions to evaluate the candidate's problem-solving skills and ability to work effectively in a team. Application Tips: - Tailor your resume and cover letter to highlight your relevant skills and experiences, with a focus on marketing, data, and IT. - Prepare for behavioral interview questions that focus on your problem-solving skills, teamwork, and adaptability. - Research the company and the role to demonstrate your understanding of the company's mission and values, and to show your enthusiasm for the position. - Practice your presentation skills, as you may be asked to present your ideas or solutions during the interview process. ATS Keywords: To help your resume pass through Applicant Tracking Systems (ATS), include relevant keywords from the job description, such as: - Marketing Digital - Data Analysis - Project Management - Excel - Python - SQL - Data Visualization - IT Systems - API - Cloud - VBA - Reporting - Lead Generation - Budget Management - Technical Support - Automation ASSUMPTION: The interview process for this internship is likely to be competitive, with a strong focus on cultural fit and the candidate's ability to contribute to the team's success. πŸ› οΈ Tools & Technologies - Excel (TCD, macros VBA, etc.) - Python (scripts for automation, data analysis, etc.) - SQL (reading and querying databases) - Data visualization tools (Power BI, Streamlit Python, etc.) - Marketing tools (Adobe Analytics, Campaign Manager, etc.) - IT systems (API, BDD, Cloud, etc.) - AI and machine learning tools (as needed) ASSUMPTION: The specific tools and technologies required for this internship may vary based on the candidate's qualifications and the company's internal policies. πŸ‘” Cultural Fit Considerations Company Values: Allianz France values innovation, performance, and agility, with a strong commitment to employee development and diversity, inclusion, and equal opportunities. Work Style: The work style at Allianz France is likely to be dynamic and collaborative, with a strong focus on teamwork, communication, and adaptability. Self-Assessment Questions: - How do your problem-solving skills and adaptability align with the company's focus on innovation and performance? - How do your communication skills and teamwork abilities contribute to a positive and supportive work environment? - How do your analytical skills and attention to detail contribute to data-driven decision-making and campaign optimization? ASSUMPTION: The cultural fit factors for this internship are likely to include strong problem-solving skills, adaptability, excellent communication skills, and the ability to work effectively in a team. ⚠️ Potential Challenges - The role may require working on multiple projects simultaneously, with tight deadlines and high expectations for performance. - The work environment may be dynamic and fast-paced, with a strong focus on results and continuous improvement. - The role may require working with diverse teams and stakeholders, with varying priorities and expectations. πŸ“ˆ Similar Roles Comparison - Role Differences: This internship focuses on marketing, data, and IT, with a strong emphasis on lead generation and campaign optimization. Similar roles may focus more on specific aspects of marketing, such as branding or content creation, or may have a broader scope, such as marketing management or strategy. - Industry Context: The insurance industry is highly competitive and dynamic, with a strong focus on data-driven decision-making and digital marketing. Other industries may have different priorities and challenges, requiring different skills and approaches. - Career Path Comparison: This internship offers an excellent opportunity to gain practical experience in marketing, data, and IT, and to contribute to the company's success. Similar roles may offer different career paths, depending on the company's size, structure, and industry-specific factors. ASSUMPTION: The role and industry-specific factors for this internship are likely to be dynamic and challenging, requiring strong analytical skills, adaptability, and excellent communication skills. πŸ“ Sample Projects - Campaign Optimization: Analyze campaign performance data to identify trends, optimize lead generation strategies, and contribute to data-driven decision-making. - Data Visualization: Create interactive dashboards and reports to communicate campaign performance and insights to stakeholders. - Technical Project Management: Collaborate with IT teams to ensure the smooth operation of marketing tools and systems, and contribute to technical project management. ASSUMPTION: The sample projects for this internship are likely to be dynamic and challenging, requiring strong analytical skills, attention to detail, and the ability to work effectively with cross-functional teams. ❓ Key Questions to Ask During Interview - What are the key priorities for the team in the first 30-60-90 days? - How does this role contribute to the company's strategic goals and growth plans? - What are the key challenges facing the team, and how can this role help address them? - How does the company support the professional development and growth of its employees? - What are the key performance indicators (KPIs) for this role, and how will success be measured? ASSUMPTION: The key questions to ask during the interview for this internship are likely to focus on the role's priorities, challenges, and opportunities for professional growth and development. πŸ“Œ Next Steps for Applicants To apply for this position: - Submit your application through the following link: careers.allianz.com/global/en/job/73256/Marketing-Digital-Data-IT-H-F-Alternance - Tailor your resume and cover letter to highlight your relevant skills and experiences, with a focus on marketing, data, and IT. - Prepare for behavioral interview questions that focus on your problem-solving skills, teamwork, and adaptability. - Research the company and the role to demonstrate your understanding of the company's mission and values, and to show your enthusiasm for the position. - Practice your presentation skills, as you may be asked to present your ideas or solutions during the interview process. ⚠️ Disclaimer: This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.