
Head of Data Insights
2 days ago
Foster Innovation and Drive Business Growth with Advanced Analytics
Readly is a leading provider of digital magazines and newspapers, offering unlimited access to thousands of titles and back issues. As the Head of Analytics, you will play a key role in shaping our data strategy, driving alignment with organisational goals and fostering innovation through advanced analytics.
Key responsibilities include:
Defining and leading the company's overall data and analytics strategy, ensuring alignment with organisational goals and maintaining leadership in data-driven practices.
Collaborating with product teams to deliver high-impact insights that shape product development and strategic decision-making.
Presenting findings and strategic recommendations to Product Managers and leadership, guiding product improvements, new feature development, and business growth.
Partnering with senior management to influence strategic direction through deep insights into financial performance and key business KPIs.
Leading business development by identifying market opportunities, crafting growth strategies, and driving key initiatives.
Driving innovation by utilizing advanced analytics techniques, including AI, machine learning, and predictive modeling.
Maintaining and enhancing the company's data platforms and infrastructure, ensuring scalability, security, and efficiency.
Requirements
As the Head of Analytics, you should have experience working in a dynamic, fast-paced and agile environment, preferably within a tech company. You also have a strong analytical background and are comfortable engaging with all levels in a company. Essential qualifications include:
Master of Science in statistics, mathematics, computer science, technology or equivalent.
Experience from leading a team of highly skilled analysts and engineers or similar.
Excellent communication skills and ability to lead discussions and evangelize opportunities related to the whole Analytics area.
Hands on development experience in several domains such as predictive analytics, clustering, machine learning, forecasting.
Fluent in English.
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