At a Glance
- Tasks: Build and own MPLC's analytics platform for trusted data and automated reporting.
- Company: MPLC, a leader in legal movie and TV show screenings worldwide.
- Benefits: Competitive salary, remote work, generous holiday, and private medical insurance.
- Other info: Join us at an exciting growth stage and influence data-driven decision-making.
- Why this job: Shape the future of data at MPLC and make a real impact.
- Qualifications: Strong SQL skills and experience with cloud data warehouses like Snowflake.
The predicted salary is between 50000 - 75000 £ per year.
About MPLC
MPLC is the legal way to show movies and TV in public or commercial spaces across the globe.
For over 30 years, we’ve been the trusted partner to major Hollywood studios, independent producers, and the wider creative ecosystem, ensuring content creators are paid fairly and organisations respect copyright.
About MPLC
MPLC is the legal way to show movies and TV in public or commercial spaces across the globe.
For over 30 years, we’ve been the trusted partner to major Hollywood studios, independent producers, and the wider creative ecosystem, ensuring content creators are paid fairly and organisations respect copyright.
About Global Technology Services
GTS is technology at MPLC, all of it.
And we are honest about where we are: we are rebuilding and elevating our technology capability, from the ground up and by design.
New platforms, new data foundations, new roles: this team is being built for what MPLC becomes, not what it was.
You will own real outcomes early, automate the repetitive rather than absorb it, and help shape the rebuild rather than inherit someone else’s.
Technology is the engine of how MPLC grows.
People are the fuel.
AI is the turbocharger.
That is where you come in.
The Role in Two Bullet Points
- Build and own MPLC's analytics platform, creating trusted, governed data that supports reporting, decision-making and future AI capabilities.
- Replace manual reporting processes with automated, reliable data products that give every part of the business confidence in the numbers they're using.
Responsibilities
- This isn't a dashboard production role. We care more about trusted numbers than endless visualisations.
- You'll be MPLC's primary Analytics Engineer, so you'll need to be comfortable taking ownership and working independently.
- Some reporting processes are still manual today, and you'll be expected to challenge and improve them.
- We're still building our technology foundations, so you'll be helping shape the future rather than stepping into a finished environment.
- You’ll spend as much time agreeing business definitions and understanding what metrics mean as you will writing SQL.
Requirements
We're looking for an Analytics Engineer to help build the foundations of our modern data platform.
Reporting to the CIO, you'll own the analytics platform end-to-end, from data ingestion and modelling through to reporting, governance and data quality.
Working closely with Revenue Operations, Finance and senior stakeholders, you'll help define the metrics that matter and ensure everyone is working from the same trusted source of truth.
We're building on Snowflake and connecting data from across the business, including CRM, finance and communication platforms.
Your goal is simple: make sure a number is defined once, trusted by everyone and never has to be rebuilt manually.
This is an opportunity to join at an exciting stage in our growth.
You'll help shape the platform, influence how data is used across the business and create the foundations that support future self-service analytics, forecasting and AI-driven capabilities.
You’ll love this role if...
- You have strong SQL skills and experience working with a modern cloud data warehouse, ideally Snowflake.
- You have experience with dbt or a similar data modelling framework.
- You care about what a metric means, not just whether a pipeline runs successfully.
- You enjoy working directly with business stakeholders to solve problems and improve decision-making.
- You have a natural instinct to automate repetitive processes and improve the way things work.
- You like taking ownership and seeing the impact of your work.
- You're excited by the opportunity to help build a modern data capability from the ground up.
Benefits
- Salary band: £50,000–£75,000 depending on experience.
- Remote Working with occasional travel.
- 25 days’ holiday plus bank holidays, and 10 days’ paid sick leave.
- Private medical insurance (AXA), including dental, optical and 24/7 GP access.
- Life assurance at 3x base salary (Legal & General).
- Salary sacrifice pension with Aviva, 4% employer contribution.
- #J-18808-Ljbffr
Analytics Engineer in Eastbourne employer: MPLC
MPLC is an exceptional employer that values innovation and collaboration, particularly in the Developer role within Global Technology Services. With a commitment to rebuilding its technology capabilities, MPLC offers a dynamic work culture where employees can take ownership of impactful projects, enjoy flexible remote working arrangements, and benefit from comprehensive health and wellness packages. The company fosters professional growth through hands-on experience with cutting-edge technologies, making it an ideal place for those looking to make a meaningful contribution in a supportive environment.
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We think this is how you could land Analytics Engineer in Eastbourne
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We think you need these skills to ace Analytics Engineer in Eastbourne
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MPLC. 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 MPLC
✨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!
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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
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✨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.
