At a Glance
- Tasks: Build predictive models and translate research into actionable insights.
- Company: Join a vibrant, international team at Songtradr, a leader in music tech.
- Benefits: Enjoy career development, competitive pay, and a creative work environment.
- Other info: Embrace diversity and creativity in a supportive workplace.
- Why this job: Make an impact with data while collaborating with innovative minds.
- Qualifications: 5-7 years in analytics, strong R skills, and project management experience.
The predicted salary is between 55000 - 65000 £ per year.
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 (e.g., PureSpectrum, Cint, Dynata) 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. Synthesize disparate data points into a cohesive narrative, including compelling data visualisations and actionable insights, and recommendations. Design clear results presentations (often in Canva) 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. Partner with Strategy and Client teams to ensure analytical outputs land with impact, influencing both the direction of the work and client decision-making. 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. Balance innovation with methodological rigor to ensure accuracy and trust.
Desired Skills & Experience
- Advanced Analytics Expertise: 5–7+ years’ experience in quantitative research, analytics, or data science within a research or consultancy environment.
- Statistical Modelling: Strong proficiency in R or equivalent statistical tools, with experience building predictive and applied models.
- Survey Programming: Demonstrated expertise in survey logic design, platform deployment, and data validation processes.
- Data Infrastructure Awareness: Understanding of third-party research platforms, APIs, and data integration workflows.
- Automation Fluency: Practical experience implementing automation or AI tools to improve efficiency and scalability.
- Technical Translation: Ability to explain complex analytical processes clearly to research and non-technical stakeholders.
- Process Orientation: Strong systems thinking with experience building repeatable, scalable analytical workflows.
- Project & Client Management: 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.
Senior Data Analyst Operations | UK, London (Hybrid) | Full-Time View position employer: Songtradr, Inc
At Songtradr, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and collaboration. Our London-based team enjoys the benefits of hybrid working, alongside opportunities for professional growth and development in a dynamic environment filled with talented individuals. With a commitment to innovation and diversity, we empower our employees to thrive while making meaningful contributions to the world of data analytics and research.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst Operations | UK, London (Hybrid) | Full-Time View position
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience to demonstrate how you’ve tackled challenges in data analysis.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website for the best chance of landing that Senior Data Analyst role. We love seeing candidates who are proactive and engaged with our brand!
We think you need these skills to ace Senior Data Analyst Operations | UK, London (Hybrid) | Full-Time View position
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst Operations. Highlight your experience with R, data modelling, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how your background aligns with our needs. Be sure to mention any experience with automation or AI tools, as we love innovation!
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Whether it's survey programming or data integration workflows, make sure to detail your proficiency. We’re looking for someone who can hit the ground running, so let us know what you can do!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Songtradr, Inc
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the data models and statistical workflows relevant to the role. Brush up on your R skills and be ready to discuss how you've built predictive models in the past. This will show that you can hit the ground running!
✨Showcase Your Communication Skills
Since you'll need to translate complex data insights to non-technical stakeholders, practice explaining your previous projects in simple terms. Use examples where you’ve successfully communicated findings to clients or team members, highlighting your ability to shape narratives from data.
✨Prepare for Technical Questions
Expect questions about data pipelines, survey programming, and automation tools. Be ready to discuss specific challenges you’ve faced and how you overcame them. This will demonstrate your problem-solving skills and technical fluency, which are crucial for this role.
✨Bring Your Creativity to the Table
The job involves designing clear results presentations, so think about how you can showcase your creativity. Prepare a mock presentation or visualisation that demonstrates your ability to turn data into compelling stories. This will set you apart and show your potential impact on the team.
