At a Glance
- Tasks: Develop data products and optimise analytics for ITV's Insights Group.
- Company: Join ITV, a leading media company shaping the future of television.
- Benefits: Competitive salary, flexible work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in the TV industry with your data skills.
- Qualifications: 2+ years in data analytics or engineering, advanced SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Workplace: London, White City. Expectation is 2 days in the office.
12 Month Fixed-Term Contract
Main purpose of the role: The ITV Insights Group will lead the business in putting insight in every key decision. For example; What content should we commission? Which audience is most commercially attractive for us? How do we optimise our product to improve view through rates? The answers to these questions and more will enable ITV to succeed in the future.
This role will be line managed by the Lead Analytics Developer, with the primary aim to develop data products to enable the analytics priorities of the Insights Group. The role will also work closely with the Head of Analytics and collaboratively with the analytics function within the Insights Group, as well as Central Insights and Data Science.
Specific responsibilities:
- Champion analytics engineering best practices within the Insights team by designing and structuring robust, SQL-based analytical pipelines.
- Maintain the M&E KPI pipeline, iterating on metrics as business needs evolve.
- Embed best practices by connecting Dataform to GitHub for seamless code sharing and version control.
- Design and implement rigorous data quality checks and automated tests, configuring proactive Slack notifications to alert the team to pipeline issues.
- Support the Central Data team to conduct thorough User Acceptance Testing (UAT) on newly developed data products.
- Collaborate closely with analysts and insights managers to design, build, and optimise tables that serve as the foundation for fast, efficient dashboards.
- Drive the migration of legacy processes over to BigQuery notebooks and pipelines, simultaneously reducing operational costs and improving query efficiency.
- Assist in rebuilding and maintaining ITVX streaming data as a robust dimensional model using dbt. This involves integrating complex datasets, such as content metadata, broadcast schedules, VOD windows, content contracts, and user demographics.
- Ensure all data products are comprehensively documented for the wider business.
- Explore and integrate new data sources to empower the Insights team. This includes building automated API connections (e.g. Barb) and proactively auditing varied sources (such as FAST schedule feeds) to guarantee our pipelines run on the most accurate data available.
- Bridge data and business value by acting as the link between source data and actionable insight.
- Help standardise data models, core metrics, and processes across the Insights team.
Experience Required:
- 2+ years of experience in data analytics, data engineering, or analytics engineering
- Advanced SQL proficiency: Ability to write complex, performant, and clean code
- Data Pipeline Development: Ability to design, build, and automate robust ELT/ETL pipelines to turn raw data into clean, reliable data products
- Transformation & Version Control: Experience using frameworks like dbt or Dataform, alongside Git for code management, collaboration, and version control
- Cloud Data Warehouse experience: Hands-on experience with GCP (BigQuery) or similar cloud platforms
- Data Modeling expertise: Understanding of data engineering principles and dimensional modelling (star schema, snowflake schema)
- Data Profiling: Strong ability to explore, compare, and validate different data sources to fully understand their structure and quirks
- A passion for TV Content, and ITV, with an excellent understanding and interest in television
Senior Analytics Engineer in London employer: ITV
ITV is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. As a Data Insights Analyst, you will have access to cutting-edge tools and resources, alongside opportunities for professional growth and development within a leading media organisation. With a focus on employee well-being and a commitment to diversity, ITV provides a rewarding environment where your contributions directly impact audience engagement and content strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨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 ITV 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.
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We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ITV, 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 ITV, 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 ITV’s attention and show the tangible impact of your work.
How to prepare for a job interview at ITV
✨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 ITV.
✨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 ITV.
✨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 ITV.
