Working With Numbers
Healthcare
Specialist/Consultant,EnterpriseAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Specialist/Consultant, Enterprise Analytics at Working With Numbers. Skills: Enterprise Analytics, Business Intelligence, Data Visualization. Support end-to-end analytics initiatives. Perform data extraction”
Industry & Context.
Problem solving; Analytical problem-solving; Deductive reasoning; Critical thinking
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Mathematics, Actuarial, Statistics, Operations Research, Engineering or related quantitative disciplines, 5-10 years of working experience in analytics related function, Proficiency in SQL
Nice to Have
Graduate degrees are an added advantage, Experience in Banking, Insurance or Healthcare sectors, Experience with Tableau, Exposure to statistical analysis, experimentation, or analytical problem-solving methodologies, Experience with Python, R, Databricks or cloud analytics platforms
What You'll Do.
Support end-to-end analytics initiatives
Perform data extraction
Perform data transformation
Perform exploratory data analysis
Perform visualization on large and complex datasets
Develop reporting solutions
Develop analytical outputs
Translate analytical findings into insights
Translate findings into recommendations
Support problem solving discussions
Investigate hypotheses
Contribute analytical perspectives
Operationalize analytical solutions
Translate business requirements into analytical components
Ensure data consistency
Ensure data reliability
Participate in enterprise initiatives
Participate in missions teams
Participate in transformation efforts
Contribute to continuous improvement of analytics capabilities
Contribute to continuous improvement of reusable assets
Contribute to continuous improvement of reporting standards
Build working relationships with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; Strategic Analytics; Data Science; Business and functional teams
Communication Scope
Actionable recommendations
Full Job Description
**At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.** _As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives._ _To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone._ **If you believe in developing a better tomorrow, read on.** **About the Role** Responsible for delivering high-quality data, analysis, and visualisation support within cross-functional teams, with a primary focus on healthcare-related initiatives. The role operates within the Business Intelligence function while working closely with Strategic Analytics, Data Science, and business stakeholders to support coordinated, data-driven problem solving. Responsibilities: * Work closely with Strategic Analytics, Data Science, and other stakeholders to support end-to-end analytics initiatives * Perform data extraction, transformation, exploratory data analysis (EDA), visualization on large and complex datasets * Develop dashboards, reporting solutions, and analytical outputs to support business decision-making and operational monitoring. * Translate analytical findings into clear, structured insights and actionable recommendations for business stakeholders. * Support problem solving discussions by investigating hypotheses, identifying patterns, and contributing analytical perspectives to business challenges. * Collaborate with Data Science team to prepare datasets, validate outputs and operationalize analytical solutions where required. * Support Strategic Analytics initiatives by translating business requirements into analytical components * Ens
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