Posted on: 21 April 2023
ID 857670

Data Analyst : Sanlam Business Intelligence

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

In a rapidly evolving digital world, data is king, and businesses are increasingly relying on data analysis to inform their decision-making processes. At Sanlam Business Intelligence (SBI), we're at the forefront of delivering cutting-edge data and analytical services, and we're looking for individuals who are excited about the future of data analysis and the role it plays in shaping the world we live in.

To be successful in this role, you'll need to be analytically minded, curious, and enthusiastic about data. You'll need to have experience using a variety of data tools and analysis methods to create information assets that can be consumed by both descriptive and advanced analysts. You should also have a passion for finding insights in datasets, synthesizing results, and driving business impact.

As a member of the SBI Customer Data Hub you'll be responsible for end-to-end tasks within the data analysis framework, working closely with business representatives, product owners, and other stakeholders to define and elicit requirements, analyze data, and assist developers in creating information. You'll have the opportunity to collaborate with a dynamic team of data experts, grow your skills and competencies, and be part of a company that's leading the way in data analysis.

At SBI, we offer career progression opportunities in various data roles, as we believe in the transformative power of data for businesses and society. If you're passionate about data analysis and share our vision, we welcome you to start your career with us and explore future opportunities in different data roles.

What will you do?

Key result areas

Data Preparation
  • Ensure all data is of a high quality and is fit for purpose for easy interpretation by the business.
  • This is achieved through data wrangling, data cleaning, data integration, data transformation, data profiling, data mapping, data quality assurance, data modelling, data governance, ETL (Extract, Transform, Load), data warehousing, data validation.
Analysis and visualisation
  • Conduct data analysis and visualisation for business consumption.
  • This is achieved through data exploration, statistical analysis, predictive modelling, machine learning, data storytelling, dashboard design, KPI (Key Performance Indicators) creation, data mining, business intelligence.
Stakeholder engagement
  • Provide a data analysis service to various stakeholders across the business to solve various business problems.
  • This is achieved through high quality communication, collaboration, active listening, stakeholder management, project management, facilitation, presentation skills, requirements gathering, business analysis, problem-solving, critical thinking, and customer service.
What will make you successful in this role?

Requirements

Qualifications
  • Matric
  • Bachelors degree (preferred) or related NQF 6 qualification (required) in a relevant field e.g. statistics, data or computer science, engineering.
Knowledge And Experience
  • 3 - 5 years+ of experience in analytics, data modelling and data profiling (intermediate level)
  • Strong knowledge of and experience with reporting and visualisation software, databases and querying
  • 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.
  • Financial services experience is advantageous.
Technical Requirements
  • At Sanlam BI the following technology is use
  • SQL, Cloudera, Wherescape, Python, DataRobot, NiFI, Business Objects, Informatica
  • Experience in the following will be considered as a transferable skill to what we use
  • Talend, Tableau, PowerBI, SAS, SPSS, Snowflake
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

Were all about building strong, lasting relationships with our employees. We know that you have hopes for your future your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its four business clusters Sanlam Life and Savings, Sanlam Investment Group, Sanlam Emerging Markets, Santam, as well as MiWay and the Group Office the group provides many opportunities for growth and development.

Core Competencies

Being resilient - Contributing independently

Collaborates - Contributing independently

Cultivates innovation - Contributing independently

Customer focus - Contributing independently

Drives results - Contributing independently

Turnaround time

The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Closing Date : 30 April 2023

Our commitment to transformation

The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.
Occupation:
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