Data Analyst

2 weeks ago


Sandton, South Africa Discovery Ltd. Full time

**Business Unit**:Discovery Health**Function**:Data Analysis**Date**:13 Jun 2023- Discovery Health
Data Analyst**About Discovery**
- Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.**About (Data Science Unit - Operations Intelligence)**-
**Key Purpose**-
**Areas of responsibility may include but not limited to**
- Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
- Collating and mining datasets (using SQL) to uncover new insights that inform operational efficiency and ‘member
- delight’ interaction strategies
- Analysing datasets (using Excel and Power BI) to answer questions posed by the operational and clinical teams
- Delivering clear and reliable results on tight and high-pressured deadlines
- Collaborating with data scientists to develop predictive models and visualisations (using python and R)
- Presenting data and model findings in a way that provides actionable insights to business users
- Assisting with the development and implementation of key operational metrics
- Monitoring and analysing various operational trends
- Aggregate and synthesis data as necessary to produce weekly and / or monthly accurate reporting and dashboard assets
- Maintain reports and metrics

**Personal Attributes and Skills**
- Experience in programming languages such as R, Python, Scala
- Expert in data manipulation skills including SQL to extract, transform and load data
- Experience in interactive data exploration and data-driven story telling
- Strong analytical and statistical knowledge
- Ability to formulate problem statements and develop a plan for tackling the problem
- Strong ability to communicate findings and recommendations from data (visual, verbal and written)
- Self-starter
- Willingness to learn and grow exponentially
- A restless curiosity towards data and uncovering unknown correlations
- Ability to work cohesively in a team environment and balance multiple priorities
- A team player who can work alone when required and without supervision
- High level of attention to detail, resilience, enthusiasm, energy, and drive
- Positive, can-do attitude
- Experience presenting to Senior Management

**Education and Experience**
- Relevant Honours Degree in Statistics, Mathematics, or Data Science
- 2 or more years work experience in an analytical environment
- Extensive experience working with SQL programming languages and Power BI
- Exposure in statistical modelling, data mining, feature engineering and machine learning
- Other analytical qualifications will also be considered if accompanied by the relevant experience
- Analytical work experience in the financial or health services industry (advantageous)
- Work experience in healthcare and operational environments are advantageous

**Employment Equity**

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
- EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.


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