Senior 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 delivering data and analytical services to Sanlam’s retail businesses, which provide a comprehensive range of financial solutions across different marketing segments.
Are you analytically minded, curious and enthusiastic about data? Passionate turning data into information, information into insights and insights into business decisions?
An exciting opportunity exists in the SBI Descriptive Analytics team.

We are looking for an individual who wants to develop skills and progress their career in data analytics. Learn and leverage a variety of data analytical tools and methods, including data visualisation best practice, to turn data into actionable insights with demonstrable business impact. If you believe you have what it takes, then join the team and assist us to develop our data analytics capability as you grow your skills and competencies in this exciting and sought-over field.
Your responsibilities will span all aspects of data analytics. From working with business representatives and product owners to define and elicit requirements, to preparing and analysing data from varying sources, to building dashboards that highlight key information and insights.
What will you do?
Key result areas

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
Processing, cleansing and verifying 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.
Own and maintain dashboards, ongoing reporting, and ad hoc requests from the organization.
Assist Data Modellers to draw up detailed data models.
Articulate data trends in business terms and provide a narrative around the insights.
Produce complex data views (prototypes) quickly and generate insights as a team of 1.
Assist with planning / set up of roadmaps for implementation of prototypes.

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
Coaching/Mentorship
Provides guidance, training, and problem solving assistance to other team members.
Coach and assist junior team members
What will make you successful in this role?

**Requirements**:
**Qualifications**:
Bachelors degree (information systems/statistics/data or computer science/engineering) or equivalent
Practical experience in analytics, data visualisation or reporting

Knowledge and Experience
5+ years of experience performing data analytics
Strong knowledge of and experience with reporting packages (Business Objects), databases (SAP HANA, Cloudera), querying (SQL)
Experienced in visualising/presenting data for stakeholder use
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
Ability to translate business requirements into non-technical terms.
Demonstrated experience in handling large data sets and relational databases.
Experience working in an agile environment
Excellent attention to detail
Understand different data modelling approaches (Kimball/Data Vault)

Competencies
Analytical thinking
Resul