Salesforce Business Intelligence Analyst II at Capitec Bank

Job Description:

• To build value for the product line by solving client and business challenges using data in the Salesforce platform. 
• To utilise data and analytical skills and experience to build insights and reporting which enable senior decision makers to make better, informed decisions faster.

Education (Minimum)

• A relevant tertiary qualification in Business Administration or Statistical Sciences

Education (Ideal or Preferred)

• A relevant qualification in Information Technology - Computer Science or Mathematical Sciences
• A relevant tertiary qualification in Business Analysis or Similar

Knowledge and Experience:
Minimum:

• At least 2+ years’ experience in a similar Business Intelligence Analyst role
• Experience and knowledge of the ETL (extraction, transform, load) data flows
• Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data 
• Experience in analysing complex data sets to solve business challenges
• Experience in working with data on the Salesforce cloud platform and using the Salesforce SQL language
• Knowledge and experience in using complex Salesforce (and other) SQL to prepare and analyse data
• Experience in building data visualisations using tools such as Power BI
• Experience with stakeholder engagement (including senior management)
• Experience in and knowledge of managing data quality issues
• Exposure to and understanding of Agile project management methodology and experience with tools such as Jira
• Knowledge of data privacy, security regulations, and best practices
   

Ideal:

• Trailhead Salesforce Associate Certificate
• Previous experience working in Business Analysis / as a Business Intelligence Analyst within the Banking / Financial sector
• Knowledge of change management principles and practices
• Knowledge and experience in change management methodology (ADKAR)
• Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker 
• Knowledge and experience in lifetime value analysis, propensity modelling, journey mapping, and root cause analysis
• Applied knowledge of User Experience (UX) reviews through customer interactions and product services
• Knowledge and experience in automation using software robots built on platforms such as UiPath or Alteryx
• Programming / Coding: Ability to use scripting languages (such as Python or R) for data analysis and manipulation
• Basic knowledge and experience in using Version Control (Git)
• Design thinking
• Dimensional Modelling
• The Data Product Life Cycle (DPLC)

Skills

• Commercial Thinking Skills
• Facilitation Skills
• Numerical Reasoning skills
• Presentation Skills
• Problem solving skills