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- Tasks: Join our Marketing Analytics team to optimise paid search campaigns and analyse performance.
- Company: Wise is a global tech company revolutionising how money is moved and managed worldwide.
- Benefits: Enjoy a competitive salary, stock options, and a diverse, inclusive work culture.
- Why this job: Make a real impact on global money management while working with a passionate team.
- Qualifications: 2+ years in Paid Search Analytics; skilled in SQL, Python, and major ad platforms.
- Other info: Base salary ranges from £60k to £75k, with opportunities for career progression.
The predicted salary is between 48000 - 84000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
We are looking for a results-oriented Senior Data Analyst to join our Marketing Analytics team at Wise. Our mission, "Money Without Borders," inspires us to create the best ways to move and manage money globally. If you're excited about this mission and want to make a real impact, this role is perfect for you. You'll work closely with our team to develop strategies that boost our performance on Google Ads, Bing and Apple Search Ads.
Key Responsibilities- Collaborate with the Paid Search team to discover ways to optimise and expand our paid campaigns. This could involve refining our bidding strategies, exploring various conversion events or enhancing our experimentation capabilities.
- Conduct in-depth analysis of keywords, ad copy, landing pages, and targeting to extract actionable insights to improve acquisition.
- Analyse the performance of our paid search initiatives, identifying trends, patterns, and anomalies to proactively tackle challenges and seize opportunities.
- Work closely with Paid Search Managers to turn your insights into effective optimisation strategies.
- Develop metrics and reporting frameworks to track performance, delivering clear and concise insights to stakeholders.
- Present your findings and recommendations to stakeholders in a straightforward and engaging manner.
- Stay informed about industry trends and best practices in SEM, particularly regarding optimization and tracking.
- A minimum of 2 years of hands-on experience in Paid Search Analytics is required.
- Familiarity with major paid search platforms, such as Google Ads, Bing Ads, Apple Search Ads and experience working with the Google / Bing Ads API.
- Proficiency in SQL and Python (or R). Knowledge of dbt would be highly beneficial.
- A solid understanding of key marketing concepts such as Customer Acquisition Cost (CAC), Lifetime Value (LTV) or Payback.
- Demonstrated ability to work effectively with marketing teams and communicate complex data insights clearly.
- Experience in mobile app environments and with MMPs is an advantage.
- A strong focus on connecting insights to experiments and business outcomes.
Base salary: £60k - £75k (based on experience & interview outcomes). Restricted Stock Units (RSUs).
Profiles will be reviewed and progressed W/C 16th June. For everyone, everywhere. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Paid Search
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding their focus on 'Money Without Borders' will help you align your insights and strategies with their goals during interviews.
✨Tip Number 2
Stay updated on the latest trends in paid search analytics, especially regarding Google Ads and Bing Ads. Being able to discuss recent developments or case studies can demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your analytical skills by bringing examples of past projects where you've optimised paid search campaigns. Highlight specific metrics and outcomes to illustrate your impact.
✨Tip Number 4
Network with current or former employees of Wise on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
We think you need these skills to ace Senior Data Analyst - Paid Search
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Data Analyst position at Wise. Tailor your application to highlight relevant experience in Paid Search Analytics.
Highlight Relevant Skills: Emphasise your proficiency in SQL, Python (or R), and familiarity with paid search platforms like Google Ads and Bing Ads. Provide specific examples of how you've used these skills to drive results in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that connects your experience with Wise's mission of 'Money Without Borders'. Discuss how your analytical skills can contribute to optimising their paid search campaigns and improving performance.
Showcase Your Impact: In your CV, include quantifiable achievements from your past roles, such as improvements in Customer Acquisition Cost (CAC) or successful optimisation strategies. This will demonstrate your ability to turn insights into actionable results.
How to prepare for a job interview at Wise
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Be prepared to discuss your experience with Google Ads, Bing Ads, and Apple Search Ads, and how you've used these tools to drive results in past projects.
✨Showcase Your Analytical Skills
Prepare to present specific examples of how you've conducted in-depth analyses in previous roles. Highlight any trends or patterns you've identified and how those insights led to actionable strategies that improved campaign performance.
✨Understand Marketing Metrics
Familiarise yourself with key marketing concepts like Customer Acquisition Cost (CAC) and Lifetime Value (LTV). Be ready to explain how these metrics influence decision-making in paid search campaigns and how you've applied them in your work.
✨Communicate Clearly
Practice presenting complex data insights in a straightforward manner. The ability to convey your findings engagingly to stakeholders is essential, so consider rehearsing your presentation skills ahead of time.
