At a Glance
- Tasks: Shape marketing performance through data management and analytics across multiple brands.
- Company: Join Awaze, a leader in the travel industry with a focus on innovation.
- Benefits: Enjoy generous holiday discounts, flexible hybrid working, and real career growth opportunities.
- Other info: Collaborative environment with opportunities to work across international markets.
- Why this job: Make a significant impact by driving data-driven decisions and optimising marketing effectiveness.
- Qualifications: Expertise in marketing analytics, SQL, and data management required.
The predicted salary is between 50000 - 65000 £ per year.
Join a team at the heart of shaping how marketing performance is measured, understood, and optimised across Awaze’s portfolio of brands. As Marketing Analytics & Data Manager, you’ll play a key role in building trusted marketing data foundations that empower teams to make smarter, faster, and more commercially impactful decisions.
Your mission is to ensure Awaze has accurate, trusted, scalable, and future‑ready marketing data that enables performance measurement, drives commercial decision‑making, and supports sustainable growth across brands and markets. You’ll act as the bridge between Marketing, Commercial, and Data Science teams, combining deep technical expertise with commercial understanding to improve how marketing data is structured, governed, modelled, and applied across the organisation.
From strengthening data quality and measurement frameworks to championing AI‑driven opportunities within marketing analytics, you’ll play a central role in advancing Awaze’s marketing data capability, building confidence in decision‑making, and enabling smarter, faster, and more commercially impactful use of data.
What You’ll Be Doing
- Own and evolve the marketing data foundation across platforms including GA4, CRM systems, media platforms, and internal data environments, ensuring scalable, trusted, and commercially relevant data structures across the organisation.
- Define and maintain tracking standards, measurement frameworks, and data governance processes to ensure consistency and trust in marketing data.
- Collaborate closely with Marketing, Commercial, Product, and Data teams to improve data accessibility and support better decision‑making.
- Identify data gaps, tracking issues, and measurement inconsistencies, proactively driving solutions that improve data quality and reporting accuracy.
- Build and optimise reporting structures and dashboards that enable stakeholders to monitor marketing effectiveness and commercial performance.
- Translate complex data into clear, actionable outputs that help teams identify opportunities and optimise performance.
- Support the development of scalable analytics capabilities that improve efficiency, effectiveness, and commercial outcomes across the organisation.
- Drive continuous improvement in marketing analytics processes, tools, AI‑enabled capabilities, and ways of working to improve efficiency, scalability, and confidence in marketing data.
- Act as the subject matter expert on marketing database structures, ensuring scalable, efficient, and commercially relevant use of marketing data across reporting, analytics, and modelling initiatives.
- Own and maintain marketing data models, definitions, and governance standards to ensure consistent, trusted, and commercially relevant use of marketing data across the organisation.
Who We’re Looking For
You’ll thrive in this role if you enjoy solving complex problems, working cross‑functionally, and turning data into meaningful business impact. You’re naturally curious, detail‑oriented, and proactive in identifying opportunities to improve data quality, measurement, and decision‑making.
We’re Looking For Someone Who Brings
- Strong experience working with marketing analytics, data management, and performance measurement.
- Expert‑level SQL expertise with the ability to interrogate, model, and optimise large‑scale marketing datasets and marketing database structures across the organisation.
- Hands‑on expertise with platforms such as GA4, CRM systems, media platforms, reporting/visualisation tools, and complex marketing databases.
- A strong understanding of tracking, attribution, data governance, and measurement frameworks.
- The ability to translate technical concepts into clear, commercially relevant insights for stakeholders.
- Excellent problem‑solving skills and a structured, analytical mindset.
- A collaborative and proactive approach to working across teams and driving change.
- Experience improving data quality, accessibility, and reporting processes in a complex business environment.
- Bonus points if you have experience working across multiple brands, markets, or international organisations.
How You’ll Make An Impact
- Build and maintain trusted marketing data foundations that support confident, data‑driven decision‑making.
- Improve the quality, consistency, and accessibility of marketing data across the organisation.
- Enable teams to better understand performance signals and optimise marketing effectiveness.
- Drive improvements in tracking, governance, reporting, and measurement standards.
- Support faster, more evidence‑based decisions that improve commercial outcomes and operational efficiency.
- Contribute to the continued advancement of Awaze’s marketing analytics and data capability across brands and markets.
- Build organisational confidence in marketing data through strong governance, scalable data models, and trusted measurement standards.
Benefits
- Generous discounts on holidays across our brands.
- Flexible hybrid working – with the autonomy to work how you work best.
- Real opportunities to grow, learn and shape your role as well as career progression vertically or horizontally, cross countries and responsibilities.
Marketing Analytics & Data Manager in Manchester employer: Awaze
Awaze is an exceptional employer that prioritises employee growth and development, offering real opportunities for career progression both vertically and horizontally across various countries and responsibilities. With a flexible hybrid working model, employees enjoy the autonomy to work in a way that suits them best, alongside generous discounts on holidays across our brands. Our collaborative work culture fosters innovation and empowers teams to make impactful decisions, making Awaze a rewarding place to build a meaningful career in marketing analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Analytics & Data Manager in Manchester
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Awaze.
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We think you need these skills to ace Marketing Analytics & Data Manager in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Awaze, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Awaze. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Awaze
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Awaze!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
