📌 Core Information
🔹 Job Title: Senior Data Analyst - SEO Content
🔹 Company: Wise
🔹 Location: London, United Kingdom
🔹 Job Type: Full-time
🔹 Category: Financial Services
🔹 Date Posted: 2025-05-27
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Developing SEO growth strategies to enhance Wise's web presence and organic search performance.
- Conducting in-depth analysis of SEO data to provide actionable insights and recommendations.
- Collaborating with the SEO Content team to track and measure SEO growth and optimize data products.
- Expanding Wise's Share of Voice model and developing metrics to monitor organic search performance.
- Leveraging advanced web scraping techniques and APIs to gather and analyze large datasets efficiently.
ASSUMPTION: This role requires a strong background in SEO and data analysis, with a focus on strategic planning and goal setting.
📋 Key Responsibilities
✅ Proactively identify areas for in-depth analysis of SEO data to improve channel performance.
✅ Collaborate with the team to track and monitor SEO channel growth and performance.
✅ Optimize data products by assisting in determining essential SEO data needs and developing tools and models.
✅ Expand Wise's Share of Voice model and develop metrics to better understand organic search performance.
✅ Leverage advanced web scraping techniques and APIs to gather and analyze large datasets efficiently.
✅ Establish and oversee Objectives and Key Results (OKRs) for the team.
ASSUMPTION: This role requires a high level of autonomy and the ability to work effectively in a remote team environment.
🎯 Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Economics, or a related discipline).
Experience: Proven experience (5-10 years) in SEO, data analysis, or a related field.
Required Skills:
- Advanced knowledge of SEO best practices and strategies.
- Strong analytical and problem-solving skills.
- Proficient in data analysis tools (e.g., Excel, SQL, Python, R).
- Experience with web scraping techniques and APIs.
- Excellent communication and collaboration skills.
Preferred Skills:
- Experience with A/B testing and split testing.
- Familiarity with the financial services industry.
- Experience working in a remote or global team environment.
ASSUMPTION: Candidates with experience in a similar role or industry will have a competitive advantage.
💰 Compensation & Benefits
Salary Range: £60,000 - £80,000 per annum (based on industry standards for a Senior Data Analyst role in London).
Benefits:
- Competitive benefits package, including health insurance and pension contributions.
- Flexible working hours and remote work options.
- Opportunities for professional development and growth.
Working Hours: Full-time position with a standard workweek of 35-40 hours, with flexibility for remote work.
ASSUMPTION: Salary and benefits may vary based on individual qualifications and experience.
📌 Applicant Insights
🔍 Company Context
Industry: Financial Services. Wise operates in the competitive and rapidly evolving fintech sector, focusing on cross-border money transfers and currency exchange.
Company Size: 1,001-5,000 employees. Wise is a well-established company with a significant global presence, offering a mix of stability and growth opportunities.
Founded: 2011. Wise was founded by Kristo Käärmann and Taavet Hinrikus, initially operating under the name TransferWise.
Company Description:
- Wise is a global technology company, building the best way to move money around the world.
- With the Wise account, individuals and businesses can hold 40+ currencies, move money between countries, and spend money abroad.
- Wise processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year.
Company Specialties:
- Money transfer
- Currency exchange
- Foreign currency
- Crowdsourcing
- Peer-to-peer
- Fintech
- Finance
- Technology
- Culture
- Mission-driven
Company Website: wise.com
ASSUMPTION: Wise's mission-driven approach and commitment to saving customers money make it an attractive employer in the fintech sector.
📊 Role Analysis
Career Level: Senior. This role is suited for experienced professionals seeking to leverage their skills in SEO and data analysis to drive strategic growth for the company.
Reporting Structure: The Senior Data Analyst will report directly to the SEO Content team and collaborate with various departments to optimize SEO performance.
Work Arrangement: Remote OK. This role offers flexibility for remote work, with a focus on results and collaboration over physical presence.
Growth Opportunities:
- Expanding SEO strategies to new markets and content areas.
- Developing and implementing new processes related to keyword research, content optimization, and automation.
- Potential career progression into management or specialized roles within the SEO or data analysis teams.
ASSUMPTION: This role offers significant opportunities for professional growth and impact within the company.
🌍 Location & Work Environment
Office Type: Hybrid. Wise offers a mix of remote and on-site work, with offices in London and other global locations.
Office Location(s): The Tea Building, 56 Shoreditch High Street, London, United Kingdom
Geographic Context:
- London is a major global financial hub, offering a vibrant and diverse work environment.
- Shoreditch, in particular, is known for its tech and startup scene, providing ample networking opportunities.
- Wise's office is located in the heart of Shoreditch, surrounded by restaurants, cafes, and cultural attractions.
Work Schedule: Standard business hours with flexibility for remote work. The role requires occasional collaboration with global teams, potentially necessitating some work outside of standard UK business hours.
ASSUMPTION: The hybrid work environment and central London location offer a dynamic and engaging work experience for employees.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening.
- Phone or video call with the hiring manager to discuss the role and assess cultural fit.
- Technical assessment or case study to evaluate data analysis and SEO skills.
- Final interview with the SEO Content team and potential stakeholders.
Key Assessment Areas:
- SEO knowledge and strategic thinking.
- Data analysis skills and problem-solving abilities.
- Communication and collaboration skills.
- Cultural fit and alignment with Wise's mission and values.
Application Tips:
- Highlight relevant SEO and data analysis experience in your resume and cover letter.
- Demonstrate your understanding of Wise's mission and how your skills can contribute to its success.
- Prepare for the technical assessment by brushing up on your SEO and data analysis skills.
ATS Keywords: SEO, Data Analysis, Performance Tracking, Keyword Research, Content Optimization, Web Scraping, API Utilization, A/B Testing, Reporting, Data Collection, Strategic Planning, Goal Setting, Team Collaboration, Market Analysis, Conversion Optimization, Automation
ASSUMPTION: Applicants should tailor their resumes and cover letters to emphasize their relevant skills and experiences for this role.
🛠️ Tools & Technologies
- Excel
- SQL
- Python
- R
- SEMrush
- Ahrefs
- Google Analytics
- Google Search Console
ASSUMPTION: The ideal candidate will have experience with relevant data analysis tools and SEO platforms.
👔 Cultural Fit Considerations
Company Values:
- One team
- Money without borders
- Build for everyone
- Be a builder
- One team
Work Style:
- Collaborative and data-driven
- Results-oriented and autonomous
- Adaptable and open to feedback
Self-Assessment Questions:
- How have you demonstrated your ability to work effectively in a remote or global team environment?
- Can you provide an example of a time when you identified a strategic opportunity to improve SEO performance and drove results?
- How do you approach setting and tracking goals to ensure progress and accountability?
ASSUMPTION: Applicants should carefully consider how their work style and values align with Wise's company culture and mission.
⚠️ Potential Challenges
- Managing multiple priorities and projects simultaneously.
- Working with large datasets and complex SEO data models.
- Collaborating effectively with global teams across different time zones.
- Keeping up with the rapidly evolving SEO landscape and industry trends.
ASSUMPTION: The ideal candidate will be able to thrive in a dynamic and fast-paced environment, managing multiple priorities and stakeholders.
📈 Similar Roles Comparison
- This role is unique in its focus on SEO content strategy within the financial services industry.
- Compared to other data analyst roles, this position requires a stronger emphasis on SEO knowledge and strategic planning.
- Career progression opportunities may include specialized roles within the SEO or data analysis teams, as well as management positions.
ASSUMPTION: Applicants should consider how this role's unique focus on SEO content strategy sets it apart from other data analyst positions.
📝 Sample Projects
- Conducting a comprehensive analysis of Wise's Share of Voice model and developing metrics to better understand organic search performance.
- Implementing new processes related to keyword research, content optimization, and automation to improve SEO performance.
- Collaborating with the SEO Content team to track and monitor SEO channel growth and performance, and optimizing data products based on analysis.
ASSUMPTION: These sample projects illustrate the strategic and data-driven nature of the role, as well as the importance of collaboration and communication skills.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the broader SEO strategy?
- How does Wise support the professional development and growth of its employees in this role?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Wise measure the success of its SEO strategies, and how will my performance be evaluated?
- What is the work environment like, and how does Wise support remote and hybrid work arrangements?
ASSUMPTION: These interview questions are designed to help applicants better understand the role, team dynamics, and company culture.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant SEO and data analysis experience.
- Prepare for the technical assessment by brushing up on your SEO and data analysis skills.
- Follow up with the hiring manager one week after submitting your application to express your interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
