At a Glance
- Tasks: Lead data analysis projects and mentor fellow analysts in a collaborative environment.
- Company: Join a forward-thinking company that values inclusivity and innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on career development.
- Why this job: Make a real impact by bridging data insights with marketing strategies.
- Qualifications: Experience in data modelling, SQL, and marketing analytics tools is essential.
The predicted salary is between 50000 - 65000 € per year.
Requirements
- You should be a collaborative communicator, capable of mentoring others through code reviews and fostering an inclusive culture.
- Ability to debug complex queries and write optimised, high-performance code.
- Experience developing sophisticated, scalable, and reusable domain-level data models (e.g., Dataform/dbt).
- Strong knowledge of attribution modelling and cohort analysis.
- Proven experience influencing technical guidelines, principles, and standards.
- Familiarity with tools such as Braze, Optimizely, Mixpanel, Amplitude, or GA4.
- Experience with version control tools like Git and GitHub.
- A track record of translating complex data into actionable recommendations that drive business KPIs.
What the job involves
- We are looking for an experienced, hands‑on Senior Marketing Data Analyst who can act as a technical lead and strategic partner.
- You will be embedded within a cross‑functional environment, working directly with our Customer Marketing team.
- Your role sits at the intersection of engineering and business strategy, acting as the bridge between technical data stacks and marketing goals.
- You will collaborate closely with stakeholders to refine requirements, manage request lifecycles, and provide technical mentorship to fellow analysts to ensure high‑quality standards across the function.
- You will take ownership of the data domain for Customer Marketing, ensuring the data model remains coherent, scalable, and cost‑effective.
- Your work will directly inform campaign design and long‑term marketing effectiveness.
- Building end‑to‑end data models in Dataform and handling complex transformations.
- Moving beyond 'what happened' to explain 'why' and recommending the next strategic steps.
- Proactively tuning SQL for cost and runtime, addressing data quality alerts, and managing technical debt.
- Developing visual, self‑serve tools for users to access KPIs and explore pre‑built datasets.
- Developing deep knowledge of the customer marketing landscape to help define team goals.
- Designing scalable analysis processes that require minimal supervision.
Senior Customer Marketing Data Analyst employer: Deepstreamtech
Join a forward-thinking company that values collaboration and inclusivity, where your expertise as a Senior Customer Marketing Data Analyst will be pivotal in shaping marketing strategies. With a strong emphasis on employee growth, you will have the opportunity to mentor others while working in a dynamic cross-functional environment that encourages innovation and technical excellence. Located in a vibrant area, our workplace fosters a culture of continuous learning and offers unique benefits that support both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Marketing Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your best work, especially those complex queries and data models. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and marketing strategies. We recommend using the STAR method to structure your answers – it’s all about showing how you’ve tackled challenges before.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we want to hear from you. Your unique perspective could be just what we need!
We think you need these skills to ace Senior Customer Marketing Data Analyst
Some tips for your application 🫡
Show Off Your Skills:When you’re writing your application, make sure to highlight your experience with debugging complex queries and optimising code. We want to see how you’ve tackled challenges in the past, so don’t hold back on those examples!
Be a Team Player:Since collaboration is key for us, share instances where you’ve worked closely with others, especially in mentoring roles. Let us know how you’ve influenced technical guidelines and fostered an inclusive culture in your previous positions.
Data Storytelling is Key:We love seeing candidates who can translate complex data into actionable insights. In your application, give us a taste of how you’ve done this before, particularly in relation to driving business KPIs. Show us your storytelling skills!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Dataform, dbt, and analytics platforms such as Mixpanel or GA4. Be ready to discuss how you've used these tools in past projects and how they can help drive marketing strategies.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex queries you've debugged or optimised. Highlight your thought process and the impact your solutions had on business KPIs. This will demonstrate your ability to translate data into actionable insights.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring others, think of instances where you've guided colleagues through code reviews or helped them understand complex concepts. Share how you foster an inclusive culture and encourage teamwork.
✨Prepare for Technical Discussions
Brush up on your knowledge of attribution modelling and cohort analysis. Be ready to discuss how these concepts apply to customer marketing and how you've influenced technical guidelines in previous roles.
