At a Glance
- Tasks: Transform complex data into actionable insights and develop scalable analytics solutions.
- Company: Globally recognised leader in media, entertainment, and streaming.
- Benefits: Competitive day rate, hybrid working, and exposure to large-scale projects.
- Other info: Collaborative culture with opportunities for innovation and career growth.
- Why this job: Join a fast-paced environment and make a real impact on data-driven decision making.
- Qualifications: 5+ years in Data Analytics, advanced skills in Power BI, SQL, and Excel.
6 Month Contract
£510 per day (Inside IR35)
Hybrid Working – North West London (3 Days Office / 2 Days Remote)
The Opportunity
Our client is a globally recognised leader in media, entertainment, and streaming, delivering world-class content and digital experiences to audiences around the world. As part of an ongoing investment in data and analytics capabilities, they are seeking a Senior Data Analyst / Analytics Engineer to play a key role in transforming complex data into actionable business insights. This is an exciting opportunity to work within a fast-paced, data-driven environment, partnering with stakeholders across multiple business functions to develop scalable analytics solutions, enhance reporting capabilities, and drive data-led decision making.
Key Responsibilities
- Lead the design, development, and delivery of dashboards and data visualisations using Power BI, Excel, SQL, Tableau, and/or Power Automate.
- Gather and document requirements from business stakeholders, translating complex business needs into robust analytical solutions and data workflows.
- Own data quality processes, including data cleaning, transformation, validation, and modelling to ensure accurate and reliable reporting.
- Establish, maintain, and enhance best practices for data modelling, reporting, and visualisation standards.
- Present analytical findings, trends, insights, and recommendations to senior leadership and cross-functional teams in a clear and engaging manner.
- Partner with Engineering, Product, and Operations teams to automate data processes, optimise reporting infrastructure, and improve existing analytics frameworks.
- Act as a strong team contributor and leader, fostering a culture of collaboration, technical excellence, innovation, and continuous improvement.
Skills & Experience
- Minimum 5 years' experience in Data Analytics, Analytics Engineering, Power BI Engineering, or a related field.
- Advanced proficiency in Power BI, SQL, and Excel, with experience using Tableau and/or Power Automate.
- Proven track record of delivering high-quality dashboards, reporting solutions, and analytics products.
- Strong experience gathering requirements and managing stakeholders across multiple business functions.
- Extensive knowledge of data cleaning, transformation, modelling, and preparing datasets for scalable analytics solutions.
- Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
- Demonstrated ability to create intuitive, user-focused, and visually compelling dashboards.
- Experience working within complex enterprise environments.
- Power BI and/or Azure certifications are highly desirable.
- Python experience would be advantageous.
- Previous Business Analyst experience would be beneficial but is not essential.
- Must be UK-based and able to commute to the London office three days per week.
What's on Offer
- Competitive day rate of £510 per day (Inside IR35).
- Opportunity to work for a globally recognised entertainment and media organisation.
- Exposure to large-scale data and analytics projects.
- Hybrid working model with a central London office location.
- Collaborative and innovative working environment with high-profile stakeholders.
Senior Data Analyst – Analytics Engineer in Watford employer: RedCat Digital
Join a globally recognised leader in media and entertainment, where you will thrive in a collaborative and innovative environment that values data-driven decision making. With a competitive day rate and the flexibility of hybrid working in North West London, this role offers not only exposure to large-scale data projects but also ample opportunities for professional growth and development alongside high-profile stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst – Analytics Engineer in Watford
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like RedCat Digital before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like RedCat Digital.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like RedCat Digital.
We think you need these skills to ace Senior Data Analyst – Analytics Engineer in Watford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at RedCat Digital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to RedCat Digital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab RedCat Digital’s attention and show the tangible impact of your work.
How to prepare for a job interview at RedCat Digital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at RedCat Digital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at RedCat Digital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at RedCat Digital.
