Data Analyst at Sanlam Group

What will you do?

The following outcomes will be expected to be achieved by the Data Analyst:

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 analytical models, reports and/or dashboards
• Mine and analyse data to drive optimisation and improvement of product development, marketing techniques and business strategies 
• Select features, building and optimising classifiers using machine learning techniques 
• Use predictive modelling to increase and optimise customer experiences, generation & targeting and other business outcomes 
• 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.)
• Eliciting technical/system rules to assist Data Modelers to draw up detailed data models and technical mapping.

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
• Lead facilitation requirements gathering workshops with the business
• Lead collaboration with internal and external stakeholders to analyse information needs, functional requirements and business processes 
• Responsible for systems process analysis, design and simulation. Assists in conducting mapping sessions with business units to facilitate process enhancement and change in terms of business strategies. Has reasonable understanding of organisation's business systems. Focus is on process analysis and re-engineering, with an understanding of business and technical problems and solutions as they relate to the current and future business environments. Assists in facilitating quality improvement interventions.

What will make you successful in this role?
Qualifications and experience

• Diploma/ Bachelor’s degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent required
• 5+ years of experience performing data analysis with proven functional experience in analytics, data visualisation and/or reporting
• Experience working with Business Intelligence and reporting packages (like SAP Lumira, SAP Web Intelligence)
• Adept at queries, report writing and presenting findings for stakeholder use
• Experience working with data in various data sources and databases (like MS SQL, DB2, Hive, Impala, Teradata, Netezza, File Sources, XML, JSON etc)
• Ability to translate business requirements into non-technical terms
• Experience querying databases and using statistical computer languages when managing data: (e.g. R, Python, SQL, etc.) advantageous
• Knowledge and experience in statistical and data mining techniques (e.g. GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.)
• Knowledge of a variety of machine learning techniques such as clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages and drawbacks.
• Ability to comply to and manage data assets under strict governance framework
• Ability to work with data profiling, data quality and reference data toolsets advantageous
• Experience in agile development advantageous
• Business experience in financial services required. 
• Business experience in Investments will be advantageous.

Competencies 

• Client focus 
• Cultivates innovation 
• Collaborates 
• Being resilient 
• Drive results 
• Decision Quality: Making good and timely decisions that keep the organization moving forward.
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. 
• Ensures Accountability: Holding self and others accountable to meet commitments.
• Business Insight: Applying knowledge of business and the marketplace to advance the organization’s goals.
• Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders.
• Manages Ambiguity: Operating effectively, even when things are not certain, or the way forward is not clear.
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

Attributes

• Assertive
• Honesty, integrity and respect
• Teamwork
• Can-do attitude
• Performance driven

Qualification and Experience

• Degree or Diploma with 4 to 6 years related experience.
• Knowledge and Skills
• Systems process analysis
• Business requirements
• Business process mapping
• IT governance, compliance and quality improvements
• Technologies
• Personal Attributes
• Interpersonal savvy - Contributing independently
• Decision quality - Contributing independently
• Business insight - Contributing independently
• Optimises work processes - Contributing independently
• Build a successful career with us
• We’re 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

• Cultivates innovation - Contributing independently
• Customer focus - Contributing independently
• Drives results - Contributing independently
• Collaborates - Contributing independently
• Being resilient - 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.