Company
DataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analyst. Skills: data modelling, data visualisation, predictive analytics, SQL. Produce analytics and insights. Develop analytical models”
What You'll Achieve.
deliver material efficiency; risk and customer experience benefits; data driven optimization strategy
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
5 + years of work experience, Bachelor’s degree in a quantitative field, Experience in relational database & data warehouse, Proficiency in querying languages (e.g. SQL, SAS), Extensive experience using data visualisation tools, communication skills, Ability to operate at own initiative, Effective interpersonal skills, organizational, analytical and problem-solving skills
Nice to Have
Advanced degree (e.g., Master, PhD), academic record with advanced coursework in Math, Statistics, and data management, Experience in building predictive analytical models (e.g. Python)
What You'll Do.
Produce analytics and insights
Develop analytical models
Develop reporting & analytics
Optimise business performance
Understand process performance
Explain performance trends
Recommend process improvements
Facilitate data discovery
Drive continuous improvement
How You'll Work.
Team & Collaboration
works with, and supports Senior Management, Tribes and Process Leaders
Communication Scope
communication skills
Full Job Description
**Job Overview** The Data Analyst will be accountable for producing analytics and insights which deliver material efficiency, risk and customer experience benefits. The incumbent will be accountable for the end-to-end development of analytics including requirements gathering, sourcing and integrating data, building analytical models, publishing insights and data visualization as well as the ongoing maintenance and optimization of these assets. The role works with, and supports Senior Management, Tribes and Process Leaders to execute a data driven optimization strategy for business decisioning. **Key Responsibilities** * Develop reporting & analytics which aim to use reporting, monitoring and predictive analytics to optimise business performance * Use complex data and tools to understand all aspects of process performance and explain performance trends to senior stakeholders and business partners * Recommend process improvements to senior stakeholders * Utilise best practice data visualisation techniques to powerfully convey insights and facilitate data discovery * Drive a culture of continuous improvement and innovation within business units to improve service, reduce costs and manage risk within appetite **Key Capabilities/Experience** * For a Senior role: **5 + years of work experience** in a data-related position within a banking team, working with business and technical experts. * **Strong experience** in processing data for BI purposes: exploring and processing data, data modelling, data warehouses, data quality and analysis. **Minimum Qualifications** * **Bachelor’s degree** in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, and data management is a strong plus. * _Experience_ in **relational database & data warehouse**. * _Proficiency_ in querying languages (e.g. **SQL, SAS**) or other data m
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