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- Tasks: Develop and maintain data pipelines for impactful visualisation tools.
- Company: Join the Department for Culture, Media and Sport, shaping policy through data.
- Benefits: Enjoy a full-time role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact on policy decisions while working in a dynamic, data-driven environment.
- Qualifications: Experience in data engineering, Python coding, and creating data visualisations is essential.
- Other info: Attend an info session to learn more about the role and team.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Analytics Engineer role at Department for Culture, Media and Sport. The Analysis Function in DCMS has a vital role in supporting and steering the development of policy. We are arranged into a ‘hub and spoke’ model: a Central Analysis Team (the ‘hub’) responsible for strategic and cross-cutting priorities, assurance processes and the production and publication of our statistics; Sector Analytical Teams (‘spokes’) that are embedded in policy directorates and lead analysis on individual sectors.
The Strategic Analysis and Data Science team sits within Central Analysis, serving as the department’s centre of expertise in economic growth, geospatial analysis, modelling and data science. The team’s expanding suite of data visualization tools have been drawing significant interest from senior (analytical and policy) colleagues, where dynamic and accessible insights have been empowering data-driven decision-making. As such, there is an exciting role for an Analytics Engineer to help bring data to the forefront of analysis, utilising our new Data Platform to build data pipelines and managing relationships with key stakeholders.
DCMS is striving to become a more data-driven department, enabling senior decision makers to make policy decisions founded on data and robust analytical insights. With 42 Arms Length Bodies (ALBs) - the most of any government department - DCMS’ complex data landscape presents unique challenges, but simultaneously exciting opportunities to influence policy decisions through data and analysis.
An Analytical Engineer will play a key role in shaping DCMS’ data maturity, influencing the data that underpins analysis by introducing novel datasets, alongside improving the quality of, and accessibility to existing data sources. More specifically, this new role will:
- Be responsible for developing and maintaining key data pipelines that populate high-priority visualization tools used by senior decision makers, such as our new Place Analysis Tool which aims to collate and display DCMS’ funding on an interactive map.
- Manage relationships with non-technical stakeholders, such as a central delivery team who commission data for our Delivery & Risk Committee Dashboard, which presents key delivery information for DCMS’ most high-priority programmes.
- Work with data engineers to design data flows from disparate sources into our new, centralised Data Platform, reducing barriers to accessing good-quality data and hence unlocking new opportunities for analysis.
- Support and upskill analysts and non-technical colleagues in best practices for managing data, streamlining workflows and improving data quality.
We will consider a range of professional backgrounds and experience in recruiting to this role, providing you have some data engineering expertise and an understanding of how data is used for analysis.
The ideal candidate would have the following skills and experience:
- Data engineering and coding expertise, including the ability to transform data using Python.
- Experience implementing new data pipelines with industry-standard documentation and testing measures.
- Able to form productive relationships with multidisciplinary colleagues and stakeholders, communicating technical concepts effectively to non-technical audiences.
- Experience developing and maintaining a codebase.
- Experience creating dynamic data visualisations for analysis.
We are running an information session where prospective applicants can find out more about the role. This will be hosted by Matty Cooke, and will take place on: The session will be an opportunity to hear more about the role, the team and wider directorate and the department. It will also be an opportunity for you to ask any questions. Please register your interest by filling out this Registration form by 11:00 on 11th June 2025 and you will be sent an invitation. Please note that the session will not focus on the DCMS recruitment process - please direct any queries that you have on this topic (timelines, reasonable adjustments, onboarding etc) to recruitment.team@dcms.gov.uk.
Behaviours We’ll assess you against these behaviours during the selection process: Seeing the Big Picture, Managing a Quality Service.
Technical skills We’ll assess you against these technical skills during the selection process: Programming and Build (data engineering) skill under Level 3. Senior analytics engineer in the DDaT Capability Framework.
Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Analyst. Industries: Public Policy.
Senior Analytics Engineer employer: Department for Culture, Media and Sport
Contact Detail:
Department for Culture, Media and Sport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and visualisation techniques mentioned in the job description. Being able to discuss your experience with similar tools during an interview will show that you're well-prepared and understand the role's requirements.
✨Tip Number 2
Attend the information session hosted by Matty Cooke. This is a great opportunity to ask questions directly about the role and demonstrate your enthusiasm for the position, which can set you apart from other candidates.
✨Tip Number 3
Network with current or former employees of the Department for Culture, Media and Sport. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss how you've successfully managed relationships with non-technical stakeholders in the past. This role requires effective communication skills, so having examples ready will demonstrate your ability to bridge the gap between technical and non-technical teams.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Analytics Engineer position. Familiarise yourself with the key tasks mentioned in the job description, such as developing data pipelines and managing stakeholder relationships.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your data engineering expertise, coding skills in Python, and any experience with data visualisation tools. Use specific examples to demonstrate your achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your understanding of the role's impact on policy development. Mention how your background can contribute to the department's goals and express your enthusiasm for the opportunity.
Prepare for the Information Session: If you plan to attend the information session hosted by Matty Cooke, prepare questions in advance. This is a great chance to gain insights about the team and the role, which can help you tailor your application further.
How to prepare for a job interview at Department for Culture, Media and Sport
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Senior Analytics Engineer at the Department for Culture, Media and Sport. Familiarise yourself with their data platforms, the importance of data pipelines, and how they influence policy decisions.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering and coding, particularly in Python. Highlight any projects where you've implemented new data pipelines or created dynamic data visualisations, as these are key aspects of the role.
✨Communicate Effectively
Since you'll be managing relationships with non-technical stakeholders, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Prepare Questions
Have a list of insightful questions ready to ask during the interview. This could include inquiries about the team dynamics, the specific challenges they face with data, or how they envision the role evolving in the future. It shows your genuine interest in the position.
