Posted on: 03 April 2023
ID 856163

Senior Data Analyst - Amplify Health

About Discovery

Discoverys 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 Amplify Health

Amplify Health is a new Singapore-based digital health technology and integrated solutions business which has been launched as a Joint Venture between Discovery Group and AIA Group, a Hong Kong-based multinational insurance and finance corporation.

Amplify Health builds on the near 10-year working relationship between Discovery Group and AIA Group, which to date has focused on the integration of Discoverys Shared-value Insurance model and the Vitality technology platform with AIAs life insurance products through AIA Vitality across Asia. The success of the partnership is reflected in the growth of the AIA Vitality programme since its launch in 2013, now present in 10 markets across Asia, covering 1.3 million AIA Vitality members. This existing platform will form a powerful foundation for Amplify Health and its integration of health and wellness capabilities.

As a health technology and solutions business, Amplify Healths focus is to build a range of health technology assets and provide its intellectual property and expertise to AIAs rapidly growing health insurance businesses across the region. The new business will also deliver its health- and wellness-insurtech services to third party businesses throughout Asia including other payors, hospital and other healthcare providers and governments. Amplify Health will provide specialised services including digital capability and product design and management, claims management, provider enablement, data analytics, and the Vitality wellness programme.

Why should you work at Amplify Health?

Amplify Healths focus is to build a range of health technology assets and provide its core technology and expertise to AIAs rapidly growing health insurance businesses across the region. The new business will also deliver its health and wellness InsurTech services to third party businesses throughout Asia including other payors, hospital and other healthcare providers and governments. Amplify Health will provide specialised services including digital capability and product design and management, claims management, provider enablement, data analytics, and the Vitality wellness programme.

Amplify Health employees will collaborate to build a high performing, rapidly growing venture and to achieve an ambitious shared purpose of making Asia healthier. Amplify Health has an innovative, fast-paced, agile, and flexible working environment and is seeking to employ high energy, committed and passionate people who share Amplify Healths mission and are willing to work hard as part of an outstanding team to bring that mission to life.

What you will do?

The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant data profiling and manipulation methods including responsibility of understanding and owning business logic to create meaningful and useful data assets. Effective communication between a range of stakeholders is vital to ensure delivery.

The ideal person has a passion for data and understand the life journey of data.

The role is based in Sandton, South Africa. (Hybrid working model)

Core Responsibilities Include
  • Understanding internal lineage of data sets through close collaborations with technology and business intelligence teams
  • Mining large structured and unstructured datasets for a multitude of companies with different data structures
  • Ownership of data structures and relevant business logic by setting standards and vision for normalised data sets
  • Creation and methods for development of scalable and re-usable data marts while understanding key business usage. This includes relevant testing structures to ensure high quality.
  • Support the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible way
  • Usage of data to find new insights to inform healthcare strategies and develop product there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
  • Performing basic data analytics ad hoc to extract core data insights
  • Specification of data reports to derive business insights that will meaningfully change the environment
  • Present data and model findings in a way that provides actionable insights
  • Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
  • Improve processes and data outcomes where opportunities arise
What You Need To Be Successful
  • Behavioural skills :
    • Communication skills across a wide range of stakeholders
    • Ability to work cohesively in a team environment while balancing multiple priorities
    • High level of attention to detail, resilience, enthusiasm, energy and drive
    • Positive, can-do attitude focused on continuous improvement
    • Ability to take feedback and constructive criticism to drive improved delivery
    • Rigorous ability to problem-solve and optimise environment
    • Excellent co-ordination skills
  • Technical understanding- a working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
    • Proficient in SQL, and excel
    • Basic Python experience is essential
    • 5+ years of experience in Health data lifecycle in at least 2 out of the following Health areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
    • Proficient experience in generation of Datamarts for healthcare
    • Working experience in health outcome indices and metrics and measures
    • Knowledge of databases and structures, governance and meta data standards including data architecture principals, ETL/ELT, etc.
    • Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
    • Knowledge of clinical tools including coders, groupers, and classifications is advantageous
    • Knowledge of data science in the healthcare space is advantageous
    • Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous
    • Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.) is advantageous
  • Qualifications:
    • A bachelor's degree in statistics, healthcare related, or similar.
    • A master's degree in a related field preferred.
    • Experience in healthcare and/or insurance analytics is preferred.
EMPLOYMENT EQUITY

The Companys 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.
Occupation:
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