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The purpose of this role is to source and profile data from multiple sources for reporting needs as defined by business. Designing data collection processes to collect and extract, transform, analyse, interpret, evaluate, and visualize data while working alongside various teams, both inside and outside of the BU.
Identifying trends and patterns in the data and report it back to the team. Working with multiple stakeholders and team members to improve data collection and quality processes.
The Data Analyst will report into the Data Specialist Team Leader, within the Data and Reporting team within the IT division.
RESPONSIBILITIES AND WORK OUTPUTS
Designing data collection processes, Data extracts from multiple BU and external sources.
Data provisioning, quality and transformation to produce meaningful reports.
Surfacing of data extracts in usable formats using available tools.
Data Analysis and problem solving.
Monitor and report on key performance indicators and metrics.
Perform “deep dive” analysis with regards to data accuracy, integrity, quality, and accessibility.
Identify and escalate data issues discovered.
Perform data quantitative and qualitative analysis.
Perform data reconciliations to identify data anomalies.
Create data visualizations, memos, dashboards and presentations to business audiences.
Liaise with various stakeholders on all levels to unpack and understand their data requests.
Assist the product house with reporting requirements internal and external to the product house.
Play an active role in the Data Management program.
Perform effective management and accountability over data to maintain confidentiality, integrity and availability.
Play an active role in projects to assist with data related principals/requirements/data reporting needs.
Actively live the company values
Ability to work independently and as part of a team
Customer/ Stakeholder Commitment
Drive for results
EXPERIENCE AND QUALIFICATIONS
Relevant B-degree or Diploma
Knowledge of the PDS system will be a distinct advantage
Intermediate SQL skills preferably
Working knowledge of PowerBi preferred
Demonstratable insurance experience preferred
Experience in data analysis, modelling, visualization and/or some programming knowledge
Demonstrate the ability to derive insights from data and communicate those insights to a non-technical audience.
Familiarity with a general programming language (e.g. Python, etc.) or a statistical package, or at least you're a Microsoft Excel guru.
Note: Never pay for any training, certificate, assessment, or testing to the recruiter.
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