At a Glance
- Tasks: Join our Data Team to optimise deal-flow and pricing for music tracks.
- Company: Dynamic company at the forefront of the music industry.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Collaborate with industry experts and shape innovative analytics tools.
- Why this job: Make a real impact in the music world with data-driven decisions.
- Qualifications: 5+ years in analytics engineering, strong SQL & Python skills.
The predicted salary is between 63000 - 77000 £ per year.
We’re looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company.
While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.
- Own the core models, transformations, and analytics products that drive track and catalog pricing decisions.
- Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health.
- Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets.
- Work closely with Product to design internal tools, workflows, and decision support systems.
- Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams.
- Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs.
- Explore and build LLM-powered internal tools that automate data workflows.
Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders. Hands-on experience with BI tools (Looker, Tableau, or equivalent). Strong SQL & Python skills for data modeling, transformation, and automation. A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack. 5+ years in analytics engineering or data analytics roles within high-growth environments. Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required). Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but not required).
Analytics Engineer employer: Duetti
Duetti is an exceptional employer that fosters a vibrant and collaborative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer unique opportunities for professional development within the dynamic music industry, allowing our team members to thrive while pursuing their passion for music. Join us to be part of a fast-paced startup environment where your contributions directly impact both the company and the artists we support.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Duetti!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at Duetti.
✨Leverage Professional Networks
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 Duetti.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at Duetti, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer
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 Duetti, 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 Duetti. 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 Duetti
✨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 Duetti!
✨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.
