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Data Analyst

ExperiencedNo visa sponsorship
ING Bank logo

at ING Bank

Other

Posted 6 days ago

No clicks

**Data Analyst (Senior, Banking)** ensures business performance optimization by developing actionable insights using complex data and tools. Responsibilities include end-to-end analytics, trend explanation, process improvement recommendations, and leveraging best visualization techniques. Key to this role is 5+ years of data-related banking experience, robust proficiency in SQL, SAS, Power BI, and building predictive models (Python a plus). Drive continuous improvement and manage risk within specified appetite.

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Not specified

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

  • Bachelors 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 mining and manipulation tools
  • Extensive experience using data visualisation tools in creating storytelling dashboards and reports (e.g. Power BI, Cognos, Tableau)
  • Experience in building predictive analytical models (e.g. Python) is a plus.
  • Strong communication skills
  • Ability to operate at own initiative with a pro-active attitude in line with bank policy
  • Effective interpersonal skills
  • Strong organizational, analytical and problem-solving skills

Data Analyst

Compensation

Not specified

City: Manila

Country: Not specified

ING Bank logo
Other

6 days ago

No clicks

at ING Bank

ExperiencedNo visa sponsorship

**Data Analyst (Senior, Banking)** ensures business performance optimization by developing actionable insights using complex data and tools. Responsibilities include end-to-end analytics, trend explanation, process improvement recommendations, and leveraging best visualization techniques. Key to this role is 5+ years of data-related banking experience, robust proficiency in SQL, SAS, Power BI, and building predictive models (Python a plus). Drive continuous improvement and manage risk within specified appetite.

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

  • Bachelors 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 mining and manipulation tools
  • Extensive experience using data visualisation tools in creating storytelling dashboards and reports (e.g. Power BI, Cognos, Tableau)
  • Experience in building predictive analytical models (e.g. Python) is a plus.
  • Strong communication skills
  • Ability to operate at own initiative with a pro-active attitude in line with bank policy
  • Effective interpersonal skills
  • Strong organizational, analytical and problem-solving skills