Where

LMA Data Specialist

Nedbank Head Office
Johannesburg Full-day Full-time

Description:

Position

LMA Data Specialist

Job Purpose

To work with the different RBB business arears to shape direct marketing campaigns and select the appropriate target populations and data for campaigning. The incumbent needs to have a good understanding of data-driven direct marketing; good communication skills; good understanding of Microsoft SQL and a good grasp of how-to setup logical decision trees to configure communication across a client journey.

Job Responsibilities

  • Manage all data aspects related to the end to end Intelligent Driven Marketing process.
  • Partner with business to understand their campaign strategy
  • Data extraction
  • Ensure that campaign data is on time and of a high quality
  • Put checks in place to prevent incorrect data used in campaigns
  • Ensure secure transfer of data (including protection of personalised data)
  • Automate campaign data where possible to reduce errors and ensure efficient processes
  • Optimise the use of data sources and identify opportunities in the data available
  • Ensure accurate post campaign reporting
  • Make use of the dashboards and identify potential insights to share with business.
  • Provide Business with Insights that inform and guide business decisions/campaign strategies.
  • Ensure actionable insights provided to business in line with business campaign strategy
  • Use the resources available to ensure that EMI data processes are optimised
  • Corporate sustainability reputation and stakeholder engagement management.
  • Onboard and enabling new business areas
  • Project support
  • Application and upholding of data, campaign process and communication governance

Requirements:

Position

LMA Data Specialist

Job Purpose

To work with the different RBB business arears to shape direct marketing campaigns and select the appropriate target populations and data for campaigning. The incumbent needs to have a good understanding of data-driven direct marketing; good communication skills; good understanding of Microsoft SQL and a good grasp of how-to setup logical decision trees to configure communication across a client journey.

Job Responsibilities

  • Manage all data aspects related to the end to end Intelligent Driven Marketing process.
  • Partner with business to understand their campaign strategy
  • Data extraction
  • Ensure that campaign data is on time and of a high quality
  • Put checks in place to prevent incorrect data used in campaigns
  • Ensure secure transfer of data (including protection of personalised data)
  • Automate campaign data where possible to reduce errors and ensure efficient processes
  • Optimise the use of data sources and identify opportunities in the data available
  • Ensure accurate post campaign reporting
  • Make use of the dashboards and identify potential insights to share with business.
  • Provide Business with Insights that inform and guide business decisions/campaign strategies.
  • Ensure actionable insights provided to business in line with business campaign strategy
  • Use the resources available to ensure that EMI data processes are optimised
  • Corporate sustainability reputation and stakeholder engagement management.
  • Onboard and enabling new business areas
  • Project support
  • Application and upholding of data, campaign process and communication governance
  • Manage all data aspects related to the end to end Intelligent Driven Marketing process.
  • Partner with business to understand their campaign strategy
  • Data extraction
  • Ensure that campaign data is on time and of a high quality
  • Put checks in place to prevent incorrect data used in campaigns
  • Ensure secure transfer of data (including protection of personalised data)
  • Automate campaign data where possible to reduce errors and ensure efficient processes
  • Optimise the use of data sources and identify opportunities in the data available
  • Ensure accurate post campaign reporting
  • Make use of the dashboards and identify potential insights to share with business.
  • Provide Business with Insights that inform and guide business decisions/campaign strategies.
  • Ensure actionable insights provided to business in line with business campaign strategy
  • Use the resources available to ensure that EMI data processes are optimised
  • Corporate sustainability reputation and stakeholder engagement management.
  • Onboard and enabling new business areas
  • Project support
  • Application and upholding of data, campaign process and communication governance
  • Sql

Minimum Experience Level

  • 3 years’ experience in information management within depth understanding of data and how this intercepts with business objective
  • Advanced SQL Coder
  • Logical thinker
  • SQL Development and AbInitio is an advantage
  • Candidate should be flexible to use any application

Essential Qualifications - NQF Level

  • Advanced Diplomas/National 1st Degrees
  • Diploma

Preferred Qualification

  • Degree in Information Technology or Business Management, Mathematical/Statistics

Type of Exposure

  • Completed Reports
  • Developed and Implemented Communications Strategy
  • Manage internal process
  • Managed Transformation & Innovation
  • Managed Relationships
  • Managed Self

Technical / Professional Knowledge

  • BI Tools (Advanced)
  • Managing business Meta Data advanced
  • DAX understanding intermediate
  • Data Virtualization understanding advanced
  • Data Visualization design and build advanced
  • Design Thinking advanced
  • Database Query advanced
  • Business writing skills (intermediate)
  • Data analysis Advanced
  • Research methodology advanced
  • Data Modelling - intermediate
  • Data Ethics basic
  • Data mining intermediate
  • Data profiling - intermediate
  • Data story telling -advanced
  • Business analysis methodology intermediate
  • Domain knowledge advanced
  • 3 years’ experience in information management within depth understanding of data and how this intercepts with business objective
  • Advanced SQL Coder
  • Logical thinker
  • SQL Development and AbInitio is an advantage
  • Candidate should be flexible to use any application
  • Advanced Diplomas/National 1st Degrees
  • Diploma
  • Degree in Information Technology or Business Management, Mathematical/Statistics
  • Completed Reports
  • Developed and Implemented Communications Strategy
  • Manage internal process
  • Managed Transformation & Innovation
  • Managed Relationships
  • Managed Self
  • BI Tools (Advanced)
  • Managing business Meta Data advanced
  • DAX understanding intermediate
  • Data Virtualization understanding advanced
  • Data Visualization design and build advanced
  • Design Thinking advanced
  • Database Query advanced
  • Business writing skills (intermediate)
  • Data analysis Advanced
  • Research methodology advanced
  • Data Modelling - intermediate
  • Data Ethics basic
  • Data mining intermediate
  • Data profiling - intermediate
  • Data story telling -advanced
  • Business analysis methodology intermediate
  • Domain knowledge advanced

Minimum Experience Level

  • 3 years’ experience in information management within depth understanding of data and how this intercepts with business objective
  • Advanced SQL Coder
  • Logical thinker
  • SQL Development and AbInitio is an advantage
  • Candidate should be flexible to use any application

Essential Qualifications - NQF Level

  • Advanced Diplomas/National 1st Degrees
  • Diploma

Preferred Qualification

  • Degree in Information Technology or Business Management, Mathematical/Statistics

Type of Exposure

  • Completed Reports
  • Developed and Implemented Communications Strategy
  • Manage internal process
  • Managed Transformation & Innovation
  • Managed Relationships
  • Managed Self

Technical / Professional Knowledge

  • BI Tools (Advanced)
  • Managing business Meta Data advanced
  • DAX understanding intermediate
  • Data Virtualization understanding advanced
  • Data Visualization design and build advanced
  • Design Thinking advanced
  • Database Query advanced
  • Business writing skills (intermediate)
  • Data analysis Advanced
  • Research methodology advanced
  • Data Modelling - intermediate
  • Data Ethics basic
  • Data mining intermediate
  • Data profiling - intermediate
  • Data story telling -advanced
  • Business analysis methodology intermediate
  • Domain knowledge advanced
02 Jun 2025;   from: careers24.com

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