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    • Analyse business and operational data.
    • Strong data visualisation and storytelling skills.
    • Validate, cleanse, and interpret data.
    • Contribute to improving data literacy and strengthening the internal data culture.
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    • National Diploma/ B Tech/ First Degree in the field of ICT,.
    • Knowledge of good data governance and various data warehouse methodologies.
    • Strong applied knowledge of either SQL or Python for data analysis and scripting.
    • Knowledge of good data governance and various data warehouse methodologies.
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    • Accountable for: Converting raw data into RAG-framed analysis that reads as business impact, not a data dump.
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    • Monitoring data quality and integrity throughout the trial process, reporting findings to stakeholders.
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    • Develop automated processes for data ingestion, transformation and visualisation.
    • Familiarity with test data management and environment provisioning.
    • In this Contract position, you will play a crucial role in ensuring the delivery of high-…
    • A passion for data entry, data accuracy and takes comfort in routine work processes / data management.
    • Understands Data Input requirements for change requests…
    • Experience testing data migration or data warehouse projects.
    • SQL (basic querying and data validation).
    • PBT Group is seeking an experienced User Acceptance…

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Job Post Details

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Data Analyst - job post

Sanlam
3.9 out of 5 stars
Johannesburg, Gauteng
Permanent

Location

Johannesburg, Gauteng

Full job description

The role
Data Analyst
If you are a solution minded and innovative individual who is passionate about data and insurance, then this rare and exciting opportunity within the Santam Client Solutions Analytics & Reporting space is for you.
What will you do?
The purpose of the role is to join a small group of data pioneers to wrangle data, enhance business reporting and build models to enhance decision-making and profitability. This is a unique opportunity to work in a dynamic environment and collaborate across analytics teams, while having the freedom to create the data assets that you will model on; with technical data work, reporting and modelling being the core responsibilities of the role.
What will make you successful in this role?
  • Data wrangling
  • Building data flows from multiple sources in SAS and creating data assets in Hadoop
  • Dashboard and Report creation
  • Data extracts for adhoc business requests
  • Trend analysis and reporting from extracted data
  • Assist stakeholders by doing manual extracts from existing dashboards and SQL sources where required
  • Look for opportunities to improve existing reports and dashboards
  • Collaborate with multiple analytics teams to ensure efficient delivery
  • Work closely with actuarial and pricing teams on collaborative insights and modelling projects
  • Work with the underwriting team to come up with unique insights that drive underwriting rules and decisions
  • Do web scraping and data acquisition from novel data sources for insights and analysis
Qualification and Experience
  • Degree in Actuarial Science/Econometrics/Statistics/Computer Science/Data Science or related field.
  • 2-3 years of work experience, preferably in the insurance industry
  • Advanced SQL skills, including data processing, query optimisation, ability to utilize different SQL dialects (MsSQL, Hadoop SQL, Sybase)
  • Experience in R, Python (essential) and SAS (preferred) – SAS and Python are used in the role
  • Experience with PowerBi (essential) and Qlik/QlikSense (preferred)
  • Advanced Excel skills (Power query, VBA, complex formulas)
  • Hands on understanding of insurance concepts and accounting data
  • Hands on experience with web scraping, API development and data science application development will be beneficial
  • Previous practical experience within insurance pricing, underwriting and claims environments will be beneficial
  • Understanding and working experience with machine learning and statistical modelling, especially GLMs, decisions trees and feature engineering
Knowledge and Skills
Data design
Problem solving
Business Knowledge
Statistical and Data modelling
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