Principal Data Analyst (Product)

TL;DR

Principal Data Analyst (Product): Leading strategic projects to produce insights for digital product strategy across the hirify.global's portfolio with an accent on understanding audience interactions and driving personalized experiences. Focus on deep-dive analyses, challenging assumptions, and championing data-driven decision-making through experimentation.

Location: Hybrid (1-2 days in office) in London, Salford, Newcastle-upon-Tyne, or Glasgow, United Kingdom.

Salary: Up to £70,000

Company

The hirify.global has been serving audiences online for a quarter of a century, creating personalized products and services across iPlayer, Sounds, Bitesize, News, and Sport.

What you will do

• Lead deep-dive analyses across the hirify.global’s digital portfolio, collaborating with Data, Engineering, Architecture, Product, and Data Science teams.
• Work with senior stakeholders to understand problem areas and opportunities, challenging assumptions with expert data knowledge.
• Innovate and improve existing processes to maximize value for audiences.
• Provide expert leadership in analytical approaches, developing and upskilling the wider team.
• Champion data-driven decision-making and experimentation within the Product Group.

Requirements

• Significant experience in an analytical role, preferably analysing digital products.
• Highly proficient in SQL and experience with extremely large and complex datasets.
• Excellent communication and data storytelling skills for non-technical audiences.
• Ability to think strategically and a passion for high-quality, accurate analytics deliverables.
• Excellent data visualisation skills, with significant experience using tools like Tableau.
• Clear understanding of experimentation value and experience analysing A/B test results.

Nice to have

• Experience programming with scripting languages like Python.
• Experience with Data Science & Machine learning.
• Familiarity with agile or other rapid application development methods.
• Understanding of data pipelines and/or data modelling.

Culture & Benefits

• Flexible 35-hour working week.
• 25 days annual leave with the option to buy an extra 5 days.
• Defined pension scheme and discounted dental, health care, and gym.
• Excellent career and professional development opportunities.
• Support for flexible working arrangements.
• Inclusive environment valuing diversity and individual contributions.