Human Capital Data Analyst at Sanlam Group

What will you do?

• The incumbent is expected to provide insightful reports, analytics and planning recommendations from various data sources, and enable the Senior HCstakeholders in making data driven decisions and insights around the people strategy and outputs. We are looking for an individual with experience in using a variety of data tools, analysis methods and machine learning algorithms to build and implement predictive models with demonstrable business impact.

What will make you successful in this role?

• Explore data sources, implements data exploration, pre-processing and data cleansing on the historical data.
• Understand data and evaluate data quality from both data science and business value perspectives.
• Prepare the data for future models.
• Develop statistical / machine learning models based on the pre-processed data as a proof-of-concept.
• Proactive, innovative and timeous delivery of data insights and reports in line with the people strategic focus areas
• Provision of equitable and appropriate balance of detailed and high-level data insights as required, to enable the right conversations with differentstakeholders.
• Translate data and trends into stories to drive business decisions
• Where applicable, building and automation of reporting dashboards, which are simplified and easy to use.
• Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality.
• Agility and flexibility in delivering between planned and spontaneous reports.
• Proactive analyses of data to identify trends and patterns that impede employee experience.
• Partner cross functionally to help design and build out Human Capital analytics data warehouse.
• Understanding of the organisation and ability to apply business insights in managing complexities of various data points and reports across the group.

Qualification and Experience

• Bachelor's degree in Computer Science, Engineering, Mathematics or a related field of study and 5 years of experience required.
• Experience must involve 2 years in the following: ML and data science knowledge to define the next key features for the solution; build features architected for speed and distributed computing; Research, prototyping and development in the big data, machine learning and data science domain and machine-learning frameworks.
• Advanced knowledge of Microsoft Excel, SuccessFactors embedded reporting, advanced analytics and planning.

Knowledge and Skills

• IT Data Analysis
• Data Collection
• Data Mining
• Advanced analytics to address business requirements
• New technologies and methodologies

Personal Attributes

• Interpersonal savvy - Contributing through others
• Decision quality - Contributing through others
• Plans and aligns - Contributing through others
• Optimises work processes - Contributing through others

Core Competencies

• Cultivates innovation - Contributing through others
• Customer focus - Contributing through others
• Drives results - Contributing through others
• Collaborates - Contributing through others
• Being resilient - Contributing through others

Closing date for applications is 26 February 2023