At a Glance
- Tasks: Build predictive models and translate research into actionable insights.
- Company: Join a dynamic team at an innovative company with a passion for music.
- Benefits: Enjoy career development, inspiration, and a competitive financial package.
- Other info: Work in a hybrid environment with a diverse and creative team.
- Why this job: Make a real impact by driving AI and automation in data analysis.
- 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 work culture that fosters creativity and collaboration among our diverse team in London. With a strong focus on employee growth, we provide ample opportunities for career development alongside a competitive financial package, all while working in a hybrid environment that promotes work-life balance and innovation in the field of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst Operations | UK, London (Hybrid) | Full-Time View position
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data analytics. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your best work. Whether it’s predictive models or data visualisations, having tangible examples of what you can do will make you stand out. Don’t forget to share this on your LinkedIn profile!
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data analysis. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, confidence is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
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 reflects the skills and experience mentioned in the job description. Highlight your expertise in R, data modelling, and any relevant projects you've worked on. 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 explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your experience with automation and AI tools – we love innovation!
Showcase Your Analytical Skills:In your application, include examples of how you've translated complex data into actionable insights. We’re looking for someone who can communicate effectively with both technical and non-technical stakeholders, so make that clear!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Songtradr, Inc
✨Know Your R Inside Out
Since the role requires strong proficiency in R, make sure you brush up on your skills. Be prepared to discuss specific projects where you've built predictive models and how you approached data accuracy and integrity.
✨Master the Art of Storytelling with Data
You’ll need to synthesise disparate data points into a cohesive narrative. Practice explaining complex analytical processes in simple terms, and think about how you can present your findings visually, perhaps using tools like Canva.
✨Showcase Your Project Management Skills
This position involves managing concurrent projects, so be ready to share examples of how you've successfully juggled multiple tasks while maintaining quality. Highlight your experience in client communication and how you’ve influenced decision-making.
✨Be Ready to Discuss Automation and AI
With a focus on implementing AI and automation tools, come prepared with examples of how you've used these technologies to improve efficiency. Think about specific challenges you faced and how you overcame them to drive innovation.
