Manager/Senior Manager, Digital Product Insights (DX1)

About the role

This role supports data-informed product development and enhancement plans within the digital ecosystem of the Careers Connect Group, through analytics, data management and insights generation. It involves applying analytical methods to develop insights that inform product decisions, handling data requests and collaborating with cross-functional teams to improve the digital Career and Employment Services (CES) platform.

Key responsibilities

• Data analysis: collect, analyse and interpret data from multiple sources to find trends in customer digital behaviour, apply basic statistical analysis and turn findings into actionable insights such as user needs for product improvement
• Data visualisation and reporting: build dashboards and reports in tools such as Tableau, Power BI or Excel, present them to stakeholders and share findings with management and cross-functional teams
• Data management: process data requests from internal and external stakeholders, liaise with the data governance team on compliance and standards, and upload data to platforms following quality protocols
• Product strategy: understand product development processes, support product strategy with data analysis and contribute to enhancement initiatives with evidence-based recommendations
• Stakeholder management: communicate with diverse teams, tailor findings to different audiences and manage several stakeholders, projects and data requests at once

Required profile

• Attention to detail and accuracy when handling data
• Quick learner comfortable with both analytical challenges and routine tasks
• Effective communicator with confidence presenting to stakeholders including Senior Management and POHs
• Proactive, self-motivated and able to work in fast-paced, sometimes ambiguous environments
• Open to candidates from diverse or fresh backgrounds; training and upskilling in technical tools and programming languages will be provided
• Contract offered initially, with possible extension or permanent tenure

Required skills

• Use of data analysis tools and programming languages such as Python, SQL and/or R is a bonus
• Experience with Google Analytics 4, Databricks, Adobe Analytics or similar platforms when needed
• Willingness to learn new technologies, including advanced analytics and AI/GenAI tools, where required