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, fostering a vibrant work culture that champions creativity and collaboration in the heart of London. Our employees enjoy comprehensive benefits, ample opportunities for professional growth, and the unique advantage of working with industry leaders in music technology, all while contributing to meaningful projects that empower music creators and brands alike.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨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 Songtradr.
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We think you need these skills to ace Senior Data Analyst in London
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 Songtradr, 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 Songtradr. 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 Songtradr
✨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 Songtradr!
✨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.
