Openings at Sanlam - 2 Positions

Role Description
Sanlam Business Intelligence (SBI) is a centre of excellence that delivers data and analytical services within the Sanlam Life and Savings (SLS) cluster. SLS provides clients across different market segments (entry-level, middle-income, affluent, professional market and business owners) with a comprehensive range of appropriate and competitive financial solutions.

These include traditional life insurance risk and savings products, investment, retirement, health and fiduciary services. Designed to facilitate long-term wealth creation, protection and niche financing, these solutions are engineered around client needs.
Are you analytically minded, curious and enthusiastic about data? Passionate about finding insights in datasets, with the ability to synthesise and clearly communicate the results and drive business impact?

An exciting opportunity exists in the SBI Scalable Warehouse Team.

We are looking for an individual with experience in data analysis, data modelling and with a keen passion to build data warehouses. 
If you believe you have what it takes, then come join the team and assist us to mature our data warehousing capability as you grow your skills and competencies in this exciting field. 

You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and own the enterprise data warehouse model.

What will you do?
 
Key result areas
Data Modelling

• Define standards and guidelines for various delivery teams to adopt and build out domain specific data models
• Drive adoption of the enterprise data modelling tool as the central repository of the enterprise vault layer
• Provide SME guidance and act as coach/ mentor to help workload teams adopt and implement the Data Vault Modelling Technique (DV).
• Chair the Data Vault Analyst Forums to drive alignment of Shared Hubs and consistency across Links and Satellites

Enterprise Vault Layer

• Collate information from various stakeholders and collaboratively design Raw Vault data models using DV
• Curate and manage the business glossary and metadata to support data discovery and reuse of datasets within the Enterprise Vault Layer
• Work with developers to review and enable the implementation of vaults of source systems
• Work with scrum masters and developers to co-ordinate, govern and plan the deployment of vaults across environments
• Work with analysts and developers to ensure data completeness, consistency and accuracy through automation (data debugging)

Stakeholder Engagement

• Work directly with management and other business users to gather requirements, provide status updates, and build relationships
• Present information using data modelling techniques
• Develop and conduct analyst training 

What will make you successful in this role?

Requirements
Qualifications

• An Appropriate IT Qualification (Diploma/Degree in (statistics/data or computer science/engineering) will be a strong recommendation.
• Practical experience in data modelling, data warehousing, data analysis and data profiling
• Business or Systems Analyst certification will be advantageous 

Knowledge and Experience 

• More than 5 years of experience performing data modelling or data warehouse data model build
• Strong knowledge of and experience with relational databases or Hadoop Distributed File System (preferred), data modelling (Kimball or Data Vault) and querying (SQL)
• Understanding of Business Intelligence and Data Warehousing software development lifecycle 
• Ability to perform well under pressure and manage competing priorities
• Business experience in financial services an advantage
• Strong analytical-thinking and problem-solving abilities
• Excellent written and verbal communication skills
• Experience working with data in various data sources and databases
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Demonstrated experience in handling large data sets and relational databases.
• Experience working in an agile environment, along with working experience of SharePoint, JIRA, and Confluence
• Excellent attention to detail

Competencies 

• Communication skills
• Accountability
• Analytical thinking
• Innovative thinking
• Building and maintaining relationships
• Results driven
• Team success
• Adaptability

Personal Attributes

• Manages complexity - Contributing through others
• Tech savvy - Contributing through others
• Plans and aligns - Contributing through others
• Optimises work processes - Contributing through others

Closing Date: 6th, May 2022 

go to method of application »

Role Description

Are you analytically minded, curious and enthusiastic about data? Passionate about finding insights in datasets, with the ability to synthesise and clearly communicate the results and drive business impact?

An exciting opportunity exists in the SBI Quality and Integration team.

We are looking for an individual with experience in using a variety of data tools and analysis methods to create information assets to be consumed by descriptive and advanced analysts.If you believe you have what it takes, then come join the team and assist us to mature our data analytics capability as you grow your skills and competencies in this exciting field. 

You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and assist developers in creating information.

What will you do?

Data Preparation

• Acquire data from various data sources and combine & transform data into interpretable datasets, reports or dashboards
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Extend the company’s data with third party sources of information when required
• Process, cleanse and verify the integrity of data used for analysis
• Perform data profiling of data contained in source systems
• Provide detailed analysis of all data implemented into the database
• Provide the data mapping and associated transformation rules for each data item
• Ensure that the business requirements and subsequent development activities are supported by accurate information. 

Analysis and Visualisation

• Interpret data, analyse results using analytical techniques and provide reports and/or dashboards
• Identify, analyse, and interpret trends or patterns in complex data sets
• Use data to answer key questions about the business.
• Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, application level, subject-level, integrated, etc.)
• Assist Data Modelers to draw up detailed data models.
• Stakeholder Engagement
• Work directly with management and other business users to gather requirements, provide status updates, and build relationships
• Present information using data visualisation techniques
• Facilitate requirements gathering workshops with the business
• Collaborate with internal and external stakeholders to analyse information needs, functional requirements and business processes

What will make you successful in this role?
Requirements

Qualifications 

• Bachelor’s degree (statistics/data or computer science/engineering) or equivalent 
• Practical experience in analytics, data modelling and data profiling

Knowledge and Experience

•  3 years of experience performing data analytics
• Strong knowledge of and experience with reporting packages (Business Objects), databases (SAP HANA, Cloudera), querying (SQL)
• Business experience in financial services an advantage
• Strong analytical-thinking and problem-solving abilities
• Excellent written and verbal communication skills
• Experience working with data in various data sources and databases
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Demonstrated experience in handling large data sets and relational databases.
• Experience working in an agile environment
• Excellent attention to detail

Competencies 

• Communication skills
• Accountability
• Analytical thinking
• Innovative thinking
• Building and maintaining relationships
• Results driven
• Team success
• Adaptability

Closing Date: 14th, April 2022