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- Tasks: Support Apple Ads teams with insights and analytics to drive marketing strategies.
- Company: Join Apple, a leading tech giant known for innovation and creativity.
- Benefits: Enjoy flexible working options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a dynamic team that shapes the future of digital advertising.
- Qualifications: Strong skills in Tableau, SQL, Python, and web analytics are essential.
- Other info: Ideal for those passionate about data and eager to make an impact.
The predicted salary is between 28800 - 48000 £ per year.
The Marketing Analyst will be responsible for supporting the Apple Ads Marketing and Sales teams with customer insights and analytics that inform and fulfill strategic objectives and goals.
Your main responsibilities will include:
- Providing web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders).
- Ensuring operational excellence by maintaining and improving existing insights development and web reporting processes.
- Quantify the impact of marketing initiatives on customer success and future behaviour.
- Drive business analytics projects through all phases, including data quality, data analysis, data visualisation, and presentation of results and deliverables.
- Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behaviour.
- Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis.
- Build dashboards, reports and presentations.
- Collaborate with cross-functional teams, including: Marketing, Sales, Data Insights and Engineering.
- Design, conduct and analyse A/B tests to optimise performance of marketing campaigns.
Minimum Qualifications
- Strong professional experience developing advanced Tableau data visualisations, dashboards and reporting.
- Programming skills in SQL and Python required to develop and maintain custom ETL processes.
- Skills in exploratory data analysis and familiarity with advanced quantitative analysis.
- Experience reporting on web analytics in Adobe, or other web analytics tools.
- Comfortable using modern data technologies.
- Familiarity with database modelling and data warehousing principles (Snowflake preferred).
- Knowledge of the digital advertising industry, the mobile app economy or related field.
- Familiarity with automated data ingestion processes including APIs.
- Ability to partner effectively with data science and engineering stakeholders to meet the data needs of the business, translating business needs into analytical requirements.
- Ability to communicate the results of analyses in a clear and effective manner.
Preferred Qualifications
- Postgraduate degree (MS or PhD) in a quantitative field of study including: Economics, statistics, applied mathematics, data science, business or a related discipline is beneficial.
- Excellent written, verbal, presentation and communication skills.
- Self-motivated and proactive with proven creative, problem-solving, and critical thinking capabilities.
Marketing Analyst - Apple Ads, EMEA employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analyst - Apple Ads, EMEA
✨Tip Number 1
Familiarise yourself with the latest trends in digital advertising and the mobile app economy. This knowledge will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your programming abilities.
✨Tip Number 3
Prepare to discuss your experience with Tableau and web analytics tools like Adobe. Be ready to provide examples of how you've used these tools to drive insights and support marketing initiatives in previous roles.
✨Tip Number 4
Network with professionals in the digital advertising space, especially those who work with Apple Ads. Attend industry events or webinars to make connections and gain insights that could give you an edge in the application process.
We think you need these skills to ace Marketing Analyst - Apple Ads, EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, web analytics, and marketing. Emphasise your skills in SQL, Python, and Tableau, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the digital advertising industry and how your background aligns with the responsibilities of the Marketing Analyst position. Use specific examples to demonstrate your analytical skills and problem-solving abilities.
Showcase Your Projects: If you have previous projects or case studies that involved data visualisation or A/B testing, include them in your application. This will provide concrete evidence of your capabilities and experience.
Highlight Communication Skills: Since the role requires effective communication of analytical results, make sure to mention any experience you have in presenting data insights to stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Apple Inc.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and visualisation tools, especially Tableau. Bring examples of dashboards or reports you've created that demonstrate your ability to turn data into actionable insights.
✨Understand the Digital Advertising Landscape
Familiarise yourself with the mobile app economy and digital advertising trends. Being able to discuss current industry developments will show your passion and understanding of the field, which is crucial for a Marketing Analyst role.
✨Prepare for Technical Questions
Expect questions on SQL and Python, as well as your experience with web analytics tools like Adobe. Brush up on your programming skills and be ready to explain how you've used these technologies in past projects.
✨Communicate Clearly and Effectively
Practice explaining complex data findings in simple terms. The ability to communicate results clearly is essential, so consider preparing a brief presentation on a past project to demonstrate your communication skills during the interview.
