Head of Data Insights

2 days ago


Stockholm, Stockholm, Sweden Readly Full time

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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