DATA ANALYST

JOB TITLE – DATA ANALYST
Job Advert Summary:

Guided by Senior Data Analyst/Data Scientist, this role will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end users to develop differentiating business insights.
Required to assist in unpacking and analysing data structures in existing databases and ETL processes using SQL, Business Objects and QlikView.
Analyse data models, test the outputs, investigate & troubleshoot data issues and devise solutions in line with best practice.
Responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and create reports/dashboards.

Minimum Requirements
Qualifications:

Bachelor’s degree (Statistics; Data or Computer Science; Engineering; Information Systems or related)

Experience:

Functional experience in analytics, data visualisation or reporting.
2-5 years of experience performing data analysis.
Experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.
Experience working with data in various data sources and databases.
Demonstrated experience in handling large data sets and relational databases with proven SQL skills.
Insurance knowledge and experience will be an added advantage.

Duties and Responsibilities
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.
Process, cleanse and verify 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.

Analysis & 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.
Support and maintain the data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional,
application level, subject-level, integrated, etc.).
Assist Data Modelers to draw up detailed data models.

Stakeholder Engagement:

Work 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.

Desired Skills: