Business Intelligence Manager
4 weeks ago
Business Intelligence Manager (Data & Analytics) - Join us as the Business
Intelligence (Data & Analytics) lead and showcase your unparalleled skills in
transforming data into actionable insights. It's time to unleash your creativity and
revolutionise the world of analytics
Roles and Responsibilities
● Collaborate with hiring managers to identify staffing needs and develop
recruitment strategies.
● Lead and manage a team of data analysts, fostering a culture of collaboration,
professional development, and continuous learning.
● Identify key metrics and KPIs to track the success of business initiatives.
● Possess a strong understanding of data analytics methodologies, including
data mining, modelling, and visualisation tools. Stay updated with emerging
trends and technologies in the data analytics field.
● Collaborate with stakeholders across various departments to ensure clear
understanding and alignment on data-driven insights.
● Conduct market analysis to identify trends, opportunities, and competitive
threats.
● Implement and maintain robust data quality standards and governance
practices within the team. Ensure data accuracy, consistency, and accessibility
for all teams.
● Manage multiple data analysis projects concurrently, prioritising tasks, and
meeting deadlines effectively. Track project progress and communicate
updates to stakeholders.
● Present data findings in a clear, concise, and compelling manner that
resonates with stakeholders across all levels.
The Ideal Profile
● 4-7 years of experience in data analysis and data management. E-commerce
experience is a plus.
● Proven experience in leading and managing a team of data analysts. Strong
understanding of data mining, modelling, and data visualisation techniques
(e.g., SQL, Python, R, Tableau).
● Excellent communication, collaboration, and presentation skills.
● A passion for data-driven decision-making and a knack for translating data
into actionable insights.
● Ability to prioritise tasks, manage multiple projects, and meet deadlines
effectively.
● Strong understanding of data governance principles and best practices.
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