Sbi Jnr Data Analyst

Who are we?
Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of three clusters - Sanlam Corporate, Sanlam Retail Mass and Sanlam Retail Affluent. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the three clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives. 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 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.
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
1-3 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
Personal Attributes Interpersonal savvy - Contributing independently Decision quality - Contributing independently Optimises work processes - Contributing independently Plans and aligns - Contributing independently Build a successful career with us
We’re all about building strong, lasting relationships with our employ