Step 1 · Compatibility
Senior Manager/Assistant Director (OR Cluster Data Analytics Team), SSP/RSL
Ministry Of Social And Family Development · onsite · closes 10/31/2026
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- • No specific skills required
- • 7y experience meets the 5y minimum
- • Job is contract, outside your preferences
- • Schedule works
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Step 2 · The role
The Opportunity and Resilience (OR) Cluster in the Ministry of Social and Family Development (MSF) aims to engender a society with opportunities for all to succeed. The Cluster’s work contributes to MSF’s macro-outcomes to ensure stability, self-reliance and social mobility for B20 households, stability and social mobility for families experiencing domestic violence and for youth-at-risk and youth offenders. We are forming a OR Cluster Data Analytics Team to primarily serve the OR Cluster and support data analytics work that are cross-domain in nature across the cluster. Responsibilities You will lead or be part of a dynamic team that serves as a central nexus to connect the issues between the OR domains. You will drive problem-solving and sense-making in selected OR problem statements, through data analytics. You will be involved in the following areas of work: (i) Planning and Prioritisation: Identify cross-domain problem statements and data priorities across OR Cluster that would inform upstream interventions and service delivery to vulnerable families and individuals. (ii) Data Analytics: Harmonise relevant datasets, set central standards and guidance for data management across the cluster and perform data analytics and sense-making for selected OR problem statements; provide technical guidance to the team or the OR divisions, and align project objectives, outcomes and methodologies. (iii) Capability Building: Spearhead capability building for the cluster to build data capabilities at different levels and build a data-driven and evidence-based culture within the cluster. Requirements • At least 5 years of relevant work experience, including undertaking data analytics project lead roles, will be an advantage. • Strong in quantitative methods and application, and skilled in using statistical software (R, Python, Stata, SPSS etc.). • Strong communication, writing, and presentation skills. • Strong interpersonal, collaboration, and stakeholder engagement skills, with good project management skills. • Ability to understand the business environment and identify business problem statements. • Knowledge in data governance and database management/systems will be an advantage.
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