Analytics Manager

at  QuantSpark

ABOUT US

QuantSpark transforms organisations through Analytics and AI. We supercharge high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI. QuantSpark prides itself on combining creative thinking with analytical rigour. Our team is innovation that drives us to create value for our clients.
We believe in offering a flexible, hybrid working environment. We are looking for candidates interested in a hybrid role that allows flexibility and those that share our commitment to come onsite to our office for a minimum of three days per week.

THE FOLLOWING SKILLS ARE NOT REQUIRED BUT WOULD BE BENEFICIAL:

• Strong experience configuring BI tools (and knowledge of ETL processes in general)
• Experience or an understanding of data lakes, data warehouses and different data structures
• Familiarity with Project Management tools such as Asana and Jira
• Interest and/or familiarity with GenAI

You will be directly responsible for managing day-to-day client engagement. You successfully utilise your project management methodologies and employ agile principles to optimise processes, enhance collaboration, and drive efficiencies. You are a commercially minded leader with high emotional intelligence who can inspire a team of highly talented analysts and is adept with managing relationships with internal and external stakeholders.

• Scoping strategic analytics projects based on an expert level understanding client requirement and our capabilities.
• An understanding of all core data competencies, and expert project experience in at least 2-3 (Data Science and Predictive Modelling OR Data Strategy OR Data Visualisation OR Data Modelling) using Python, SQL or data visualisation tools such as PowerBI or Tableau
• Managing and developing the team through coaching, performance management, and goal setting.
• Handling the negotiation of commercial contracts with potential clients.
• Having oversight of information security and client on/off boarding.
• Managing day to day client engagement and project success.
• Coordinating the work of analysts and data scientists ensuring best-practice implementation of processes and effective knowledge sharing.
• Managing and developing the team through coaching, performance management, and goal setting.
• Contribute to the overall strategy and growth of the business.