Salesforce Business Intelligence Analyst II [Salesforce BI Analyst II]

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

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Purpose Statement

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