Workplace: White City London/ Manchester - Hybrid
12 Month Fixed-Term Contract
Senior Data Analyst, Subscriptions
We are seeking a Senior Data Analyst to join the ITV Insight Group’s analytics function. Embedded across domain-aligned insights teams within the department, our analysts play a crucial role in shaping the business’s understanding of the UK television market, evolving viewer behaviours and future opportunities in an exciting, highly competitive and increasingly complex media landscape.
This role sits within Viewer Insights, and will focus on delivering insights and analytics to drive ITV’s subscriptions and direct-to-consumer initiatives. This includes ITVX Premium reporting and proposition development, insights to optimise the subscriber experience on ITVX, and how ITVX Premium is effectively distributed on partner platforms.
As a critical part of a cross-functional team you will partner with business leaders and key stakeholders to understand their challenges and answer the “big questions". You will also work closely with Data Engineers, Insight Managers and Data Scientists to innovate, inform and impact decision-making. You will use your technical skills to create outcome-focused insight for your domain while thinking critically and collaboratively to build relationships and create recommendations that balance the stakeholder requirements with ITV’s wider strategic objectives.
The team
ITV is on a mission to Supercharge Streaming and Optimise Broadcast with data and insight right at the centre of our digital transformation strategy. The business faces many challenges ahead to achieve this vision: What content should we commission? Which audiences are the most commercially attractive for us? What should our marketing strategy be? How do we optimise our product to improve view through rates? How do we use VOD (Video on Demand) to offset declines to Linear?
Whatever the issue, the ITV Insights Group is here to lead the business to its most successful future by putting insight, powered by research and data, at the heart of every key decision.
Responsibilities:
1. Provision of accurate and insightful analysis on how our viewers access the nation's best-loved and most-watched content, across SVOD or AVOD.
2. Re-developing SVOD reporting pipelines and dashboards to provide the business with trusted views on ITVX Premium uptake, churn and overall performance.
3. Embedding new methodologies, processes and ways of working across business domains
4. Contractual SVOD reporting for our key platform partners.
5. Assessing the effectiveness of ITVX Premium campaigns and initiatives to drive sign-ups and minimise churn.
6. Analysing audience journeys and providing insight on our viewers in order to drive business value.
7. Evaluating the performance of ITVX upsell journeys and the impact of changes made by the product team.
8. Work closely with the data engineering team, ensuring new SVOD data products are fit for purpose and have high data quality.
9. Proof of concept analysis to support the implementation of new SVOD metrics or segmentation methodologies that ladder up to our KPIs.
10. As part of a cross-functional team, developing and embedding dashboarding solutions for business stakeholders, enabling a culture of self-service analytics.
11. Collaborating with cross-functional teams including Insight Managers, Data Scientists, Data Engineers, Analysts and business stakeholders to drive projects forward.
12. Communicating analytics and insight to business stakeholders in a non-technical, strategically-minded and impactful manner.
Skills you’ll need (minimum criteria)
13. 3+ years of experience of working in data analytics, preferably with extensive exposure to subscription/trading analytics, product or marketing.
14. Proven track record of using data to drive direct to consumer relationships and business value.
15. Strong communication skills with the ability to tell commercially relevant stories with data to senior stakeholders across the business
16. Strong experience using SQL to analyse large datasets on data lakes or EDWs
17. Experience working with Google Analytics or other Digital/Product analytics tools to understand customer behaviour
18. Strong data visualisation skills using tools such as Tableau or Looker Studio
19. Experience working with cloud-based platforms such as GCP (BigQuery), AWS (Redshift) or Databricks
20. Comfortable visualising and presenting analysis across a range of formats (reports, PowerPoint, dashboards, e-mail)
21. Nice to have: Experience using Python to conduct statistical analyses and/or automate transformation pipelines
22. Nice to have: Knowledge of A/B testing principles & statistical techniques.
Other things we’re looking for (key criteria)
23. Able to understand and challenge assumptions and biases in analytical output, methodologies, models, data sets and recommendations
24. Excellent attention to detail and proactive in preventing errors
25. Keen problem solving skills and critical thinking
26. Experience working with Agile project management methodologies
27. A passion for TV and media is a plus!