📌 Core Information
🔹 Job Title: Data Analyst - Digital Marketing
🔹 Company: Reach plc
🔹 Location: London, England, United Kingdom
🔹 Job Type: Full-time
🔹 Category: Data & Analytics, Marketing
🔹 Date Posted: May 19, 2025
🔹 Experience Level: 0-2 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Analyzing marketing data to drive acquisition and retention strategies
- Creating and maintaining reports using Google Sheets and Excel
- Building data visualizations to aid analysis and communication
- Monitoring SEO performance and analyzing client account performance
- Working with a team responsible for marketing, product, data, and content
ASSUMPTION: This role requires a strong focus on data-driven decision making and effective communication of insights to stakeholders.
📋 Key Responsibilities
✅ Create and maintain reports using Google Sheets and/or Excel
✅ Build data visualizations (Tableau, LookerStudio, and Google Sheets) to help with analysis
✅ Provide insight from data analysis and communicate this to stakeholders effectively
✅ Present findings with Google Slides and/or Microsoft PowerPoint
✅ Develop a strong understanding of the SaaS platform (Madgex) and its impact on the business
✅ Monitor SEO performance using SEMRush and Google Search Console
✅ Compile, curate, and transform data from surveys and create graphs, charts, and commentary for the wider marketing team
✅ Use SQL databases to analyze client account performance and site traffic behavior
✅ Set up A/B experiments, ensuring the hypothesis, audience, and success measures are clearly defined
ASSUMPTION: This role requires a balance of technical skills and strong communication abilities to effectively convey insights to non-technical stakeholders.
🎯 Required Qualifications
Education: A degree in a maths/science-based subject would be an advantage
Experience: At least 1+ years of Data Analyst experience in a digital environment, working with marketing data, data mining, and analysis
Required Skills:
- Advanced Excel or Google Sheets skills
- Experience using an analytics platform (e.g., Google Analytics)
- Data-driven and passionate about using testing and research to justify business decisions
Preferred Skills:
- Experience with Tableau, LookerStudio, or other data visualization tools
- Familiarity with SQL databases
- Knowledge of SEO best practices
ASSUMPTION: While not explicitly stated, proficiency in SQL and familiarity with SEO tools would be beneficial for this role.
💰 Compensation & Benefits
Salary Range: £30,000 to £32,000 per year (based on industry standards for a Data Analyst role in London)
Benefits:
- 25 days' holiday per year, with additional days accrued after three, five, and ten years' service
- Giving back day - an additional day's leave each year to support a cause close to your heart
- Enhanced family leave, including maternity, paternity, and adoption leave
- Wellbeing support, including a 24/7 assistance programme for you and your nearest and dearest
- Strong career opportunities, with support from your line manager and a range of learning & development programmes
- Help saving for your retirement, with the company matching contributions up to 6% through the pension scheme
Working Hours: Full-time, 8:30 AM - 5:30 PM with a 9-day fortnight and every other Friday off
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Data Analyst role in London with 1-2 years of experience.
📌 Applicant Insights
🔍 Company Context
Industry: Reach plc is the UK’s and Ireland’s largest commercial news publisher, with over 120 trusted brands across national, local, and US markets.
Company Size: Reach plc has 1,001-5,000 employees, providing a mid-sized company environment with opportunities for collaboration and growth.
Founded: Reach plc was founded in 1832, with a rich history in publishing and a strong commitment to trusted news, entertainment, and sport.
Company Description:
- Home to iconic media brands like the Mirror, Express, and regional titles such as the Birmingham Post, Liverpool Echo, and Manchester Evening News
- Reach plc values collaboration, imagination, and determination, fostering an environment where everyone feels supported, valued, and able to grow
- The company prioritizes flexibility and work-life balance, making it easier for employees to thrive both in and outside of work
Company Specialties:
- News publishing
- Digital marketing
- Data analysis and insights
- Product development and management
Company Website: http://www.reachplc.com
ASSUMPTION: Reach plc's extensive portfolio of brands and commitment to trusted journalism provide a strong foundation for growth and innovation in the digital marketing and data analysis fields.
📊 Role Analysis
Career Level: This role is suitable for early-career Data Analysts looking to gain experience in a digital marketing environment and develop their skills in data analysis, visualization, and communication.
Reporting Structure: The Data Analyst will report directly to the Data & Insight Manager, working closely with teams responsible for marketing, product, data, and content.
Work Arrangement: This role is on-site, with a 9-day fortnight and every other Friday off, providing a flexible work arrangement that balances productivity and work-life balance.
Growth Opportunities:
- Expanding skills in data analysis, visualization, and communication
- Gaining experience in SEO performance monitoring and client account analysis
- Developing expertise in the SaaS platform (Madgex) and its impact on the business
ASSUMPTION: This role offers significant opportunities for growth and development in the data analysis and digital marketing fields, with a focus on driving acquisition and retention strategies.
🌍 Location & Work Environment
Office Type: Reach plc's headquarters is located in Canary Wharf, London, providing a modern and dynamic work environment.
Office Location(s): One Canada Square, Canary Wharf, London E14 5AP, GB
Geographic Context:
- London is a major global city with a thriving job market, offering ample opportunities for professional growth and networking
- The Canary Wharf district is a hub for finance, media, and technology industries, providing a vibrant and diverse work environment
- Reach plc's central London location offers easy access to public transportation, cultural attractions, and entertainment options
Work Schedule: Full-time, 8:30 AM - 5:30 PM with a 9-day fortnight and every other Friday off
ASSUMPTION: Reach plc's central London location and flexible work arrangement provide an attractive work environment for early-career Data Analysts seeking to develop their skills in a dynamic and collaborative setting.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video call interview to discuss the role and assess cultural fit
- On-site interview with the hiring manager and/or team members to assess technical skills and fit
- Final interview or offer discussion
Key Assessment Areas:
- Data analysis and visualization skills
- Communication and presentation skills
- Problem-solving and critical thinking abilities
- Cultural fit and alignment with Reach plc's values
Application Tips:
- Highlight relevant experience and skills in data analysis, visualization, and communication
- Tailor your resume and cover letter to emphasize your fit for the role and Reach plc's values
- Prepare examples of data analysis projects or case studies to demonstrate your skills and thought process
ATS Keywords: Data Analysis, Google Sheets, Excel, Data Visualization, Stakeholder Communication, SEO Performance Monitoring, SQL, A/B Testing, Data Mining, Google Analytics
ASSUMPTION: Reach plc's application process is designed to assess technical skills, cultural fit, and alignment with the company's values, with a focus on data-driven decision making and effective communication.
🛠️ Tools & Technologies
- Google Sheets
- Excel
- Tableau or LookerStudio (for data visualization)
- SEMRush and Google Search Console (for SEO performance monitoring)
- SQL databases (for client account performance analysis)
- Google Slides or Microsoft PowerPoint (for presentations)
ASSUMPTION: While not explicitly stated, proficiency in these tools and technologies is essential for success in this role.
👔 Cultural Fit Considerations
Company Values:
- Collaboration
- Imagination
- Determination
Work Style:
- Data-driven and analytical
- Effective communicator, with the ability to convey complex ideas to non-technical stakeholders
- Proactive and independent, with a strong work ethic and commitment to professional growth
Self-Assessment Questions:
- Do you have a strong foundation in data analysis and visualization, with experience working with marketing data?
- Are you comfortable communicating complex ideas and insights to non-technical stakeholders?
- Do you thrive in a collaborative and dynamic work environment, with a focus on driving acquisition and retention strategies?
ASSUMPTION: Reach plc values candidates who are data-driven, collaborative, and committed to professional growth, with a strong work ethic and a passion for driving acquisition and retention strategies.
⚠️ Potential Challenges
- Managing multiple reporting and analytical responsibilities simultaneously
- Effectively communicating complex data insights to non-technical stakeholders
- Balancing the demands of a full-time role with a 9-day fortnight and every other Friday off
- Adapting to a dynamic and fast-paced work environment in a major global city
ASSUMPTION: These potential challenges can be mitigated through strong communication, time management, and a commitment to professional growth and development.
📈 Similar Roles Comparison
- Compared to other Data Analyst roles, this position places a stronger emphasis on driving acquisition and retention strategies through data-driven decision making
- Reach plc's extensive portfolio of brands and commitment to trusted journalism provide a unique context for data analysis and insights in the digital marketing field
- This role offers significant opportunities for growth and development in data analysis, visualization, and communication, with a focus on driving acquisition and retention strategies
ASSUMPTION: This role offers a unique blend of data analysis, digital marketing, and communication responsibilities, with a strong focus on driving acquisition and retention strategies in a dynamic and collaborative work environment.
📝 Sample Projects
- Analyzing user behavior data to identify trends and optimize marketing campaigns
- Developing data visualizations to communicate complex insights to stakeholders effectively
- Monitoring SEO performance and providing data-driven recommendations to improve search engine rankings
ASSUMPTION: These sample projects illustrate the data analysis, visualization, and communication responsibilities of the Data Analyst role at Reach plc.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within it?
- How does Reach plc support the professional growth and development of its Data Analysts?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Reach plc foster a data-driven culture, and what are the expectations for this role in that context?
- What are the most challenging aspects of this role, and how can I best prepare for them?
ASSUMPTION: These key questions help assess the role's fit with your skills, experience, and career goals, as well as the company culture and expectations for professional growth and development.
📌 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 experience and skills in data analysis, visualization, and communication
- Prepare examples of data analysis projects or case studies to demonstrate your skills and thought process
- Follow up with the hiring manager or HR representative within one week of submitting your application to express your interest and reiterate your qualifications
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
