Job Description:
We are seeking an experienced MI Analytics and Data Warehouse Manager to maintain and optimize our data warehouse, delivering actionable insights through MI analytics.
In this role, you will manage the development and implementation of data models, ETL processes, and MI reports to support decision-making and improve business performance.
You will be responsible for ensuring the accuracy and completeness of our data, while also identifying opportunities to optimize our systems and processes for greater efficiency and effectiveness.
A practical approach and commitment to delivering results are essential in this role, as you work to ensure that our data is well-managed and our insights are actionable.
Main Responsibilities:
* Lead a team of individuals to achieve organisational goals and objectives
* Mentor team members, providing guidance, coaching, and feedback to support their development
* Collaborate with stakeholders to define and prioritize MI requirements, ensuring alignment with customer needs and expectations
* Deliver actionable insights through MI reports and dashboards to support customer decision-making and improve customer experience
* Oversee the development and maintenance of the company's data warehouse, ensuring performance, security, and scalability
* Liaise with IT and other departments to ensure data quality and availability
* Ensure the accuracy, timeliness, and integrity of MI data to support financial decision-making and reporting
* Develop and implement MI best practices and standards to improve financial performance and efficiency
Requirements:
* Minimum 5+ years' experience in data manipulation and analysis, with expertise in ETL processes, data warehouses, SQL, and data visualization tools (e.g. Power BI)
* Bachelor's or Master's degree in a relevant field (e.g. Computer Science, Maths, Statistics, Finance), with an IT Professional certification beneficial
* Experience in managing and developing teams, with strong leadership and communication skills
* Proven experience in effective data warehousing and database management through ETL, data integration, MI analytics and reporting, data modeling, and use of business intelligence tools
* Strong business acumen and commercial mindset, with the ability to work collaboratively with cross-functional teams
* Understanding of relevant industry and business processes
* Experience in data governance and security best practices