At a Glance
- Tasks: Dive deep into data, build predictive models, and create impactful insights.
- Company: Join Songtradr, the world's largest B2B music tech company, empowering creators and brands.
- Benefits: Inspiration, career development, and a vibrant international team of music enthusiasts.
- Other info: Embrace diversity and enjoy a collaborative culture focused on creativity.
- Why this job: Shape the future of sound with innovative AI-driven research solutions.
- Qualifications: 5-7 years in analytics, strong R skills, and a passion for data storytelling.
The predicted salary is between 60000 - 75000 £ per year.
Songtradr is the world’s largest B2B music technology company, offering end-to-end music licensing, rights management, and direct-to-fan solutions. Through strategic acquisitions like MassiveMusic and Bandcamp, Songtradr empowers music creators and enables brands to connect with audiences through the power of music.
Our team is on the lookout for a Senior Data Analyst to join our Global Research Strategy Team in London. As a senior technical contributor within the research team, you operationalise methodologies into scalable survey architecture, predictive models, and automated workflows. Working closely with the Creative Strategy and Product teams, as well as external service providers, you ensure analytical rigor while shaping the technical foundations that power future-facing, AI-enabled research solutions.
The Research Strategy team operates at the intersection of science, creativity, technology and craft, empowering brands and agencies with rich audio-focussed data and insights that drive tangible brand results.
Main Job Duties:
- Data Modeling & Technical Execution: Build and maintain predictive R-models that power research outputs, including implicit and explicit consumer testing results. Translate research frameworks into structured analytical models and statistical workflows. Ensure data accuracy, integrity, and reproducibility across all quantitative studies.
- Tooling Integration & Platform Enablement: Liaise with external research and technology partners to manage data pipelines and integrations. Act as the primary technical contact for third-party panel providers and oversee the end-to-end fieldwork lifecycle. Troubleshoot technical issues across data collection, processing, and reporting workflows. Contribute to the development of scalable research infrastructure.
- Stakeholder Management & Insight Synthesis: Synthesise disparate data points into a cohesive narrative, including compelling data visualisations and actionable insights. Design clear results presentations that lead the audience from the initial research question to a clear, data-backed conclusion. Act as a trusted analytical voice in client conversations, shaping the narrative from data to insight and guiding stakeholders toward clear, actionable decisions.
- Automation & AI Innovation: Drive the implementation of AI and automation tools across analysis and reporting workflows. Support the development of technology-enabled research products in partnership with Product teams. Prototype and test AI-driven approaches to modelling, insight generation, and reporting.
Desired Skills & Experience:
- 5–7+ years’ experience in quantitative research, analytics, or data science within a research or consultancy environment.
- Strong proficiency in R or equivalent statistical tools, with experience building predictive and applied models.
- Demonstrated expertise in survey logic design, platform deployment, and data validation processes.
- Understanding of third-party research platforms, APIs, and data integration workflows.
- Practical experience implementing automation or AI tools to improve efficiency and scalability.
- Ability to explain complex analytical processes clearly to research and non-technical stakeholders.
- Strong systems thinking with experience building repeatable, scalable analytical workflows.
- Demonstrated ability to manage concurrent projects while maintaining quality, timelines, and confident client communication.
Employment: Full time. What do you get in return? Inspiration, knowledge, career development, on top of our financial package. You’ll also be working with an international bunch of remarkable musically-infused individuals.
On this note, please know that Songtradr is an equal opportunities employer. Applicants will not be excluded on the grounds of sex, gender reassignment, pregnancy, maternity, race, marital status, diversity of thought, disability, age, religion, belief, or sexual orientation. If you need any specific adjustments to be made throughout our recruitment process, please feel free to let us know.
If after reading this you know this is the perfect role for you, please apply via the provided link and make sure you include your resume and a brief summary of the professional achievement you are most proud of to date.
Senior Data Analyst in London employer: Songtradr
At Songtradr, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters creativity and collaboration among our diverse team in London. As a Senior Data Analyst, you'll have access to inspiring career development opportunities, cutting-edge technology, and the chance to work alongside passionate music enthusiasts, all while contributing to innovative solutions that shape the future of sound. Join us to be part of a company that values your voice and empowers you to make a meaningful impact in the music industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Songtradr. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by diving deep into the company’s projects and values. Show us you’re not just another candidate; demonstrate how your skills align with our mission of blending creativity and data-driven insights.
✨Tip Number 3
Practice your storytelling skills! When discussing your past experiences, frame them in a way that highlights your impact and how you’ve used data to drive decisions. We love hearing about real-world applications!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you note can keep you top of mind and show us you’re genuinely interested in joining our team. Plus, it’s a great chance to reiterate your enthusiasm for the role!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with predictive modelling and data analysis, and don’t forget to mention any relevant tools you’ve used, like R. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about music and data. Share specific examples of how you’ve tackled challenges in previous roles, especially those that relate to the job description. Let your personality come through!
Showcase Your Achievements:When you mention your professional achievements, be specific! We love numbers and results, so if you’ve improved processes or driven significant insights, let us know. This is your moment to show off what you can bring to our team!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to double-check everything before hitting send. We can’t wait to hear from you!
How to prepare for a job interview at Songtradr
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll need to demonstrate your expertise in data modelling and statistical analysis. Brush up on your R skills and be ready to discuss specific projects where you've built predictive models or automated workflows. Show them you can translate complex data into actionable insights!
✨Master the Art of Storytelling with Data
Prepare to synthesise disparate data points into a cohesive narrative. Think about how you can present your findings clearly and compellingly, perhaps using tools like Canva. Practice explaining your analytical processes in simple terms, so even non-technical stakeholders can grasp the insights you're providing.
✨Showcase Your Collaboration Skills
Since this role involves liaising with various teams and external partners, be ready to share examples of how you've successfully collaborated in the past. Highlight your experience in managing concurrent projects and maintaining quality while communicating confidently with clients. They want to see that you can perform as part of a team!
✨Embrace Innovation and AI
With a focus on automation and AI, think about how you've implemented these tools in your previous roles. Be prepared to discuss any innovative approaches you've taken to improve efficiency in your analysis and reporting workflows. Show them you're not just about the numbers; you're also about pushing boundaries!
