Financial Data Analyst

Company Description

OUTsurance has been driving the South African insurance industry forward for the past 25 years. As leading practitioners in the field, we are always exploring innovative ways to develop digitally progressive solutions, without losing sight of our human principles. Our ongoing success can be credited to exemplary employees who set high standards with their enthusiasm and expertise. If you are eager to advance your career in a lively environment with ample ‘fun’, then this might be the career opportunity you’ve been waiting for.

What do you get OUT? 

• OUTsurance has been voted the Top Employer in South Africa since 2022.  Our vision for our employees is to be an excellent company to work for where you always get something OUT.

We offer our employees:

• A winning, entertaining, and all-embracing company culture that celebrates diversity.
• Generous Rewards and Recognition Programs.
• Benefits (Medical Aid, Pension Fund, Group Life and Disability Benefits)

• Growth opportunities (we recruit talent, nurture skills, and promote values-driven leaders from within)
• On-campus Wi-Fi and Emergency Panic-Assist through the OUTsurance App.
• Employee wellbeing programs: Free Counselling, Legal Advice, and Financial Coaching for you and your household members.
• An opportunity to give back (Staff Helping SA OUT Volunteer Program) and much more...
• Casual Dress Code
• Central office location with shuttles to and from the Gautrain station and Centurion Taxi Rank
• Onsite Clinic, Canteen, Carwash, Barber, Beauty Salon, and Sports Facilities
• Daycare center during public school holidays
• Maternity Expressing Rooms
• Prayer Rooms

Job Description

The Finance Department is seeking a Financial Data Analyst to become part of a dynamic and developing data team responsible for the entire data range of the department. Vision for this role is to bridge the divide between the traditional accounting profession and the data-focused aspects of the environment.

The role will necessitate understanding department policies and procedures, recommending and developing systems, and reporting to enhance the department's operation, in line with the current technological environment. Moreover, the successful applicant should possess a strong work ethic and the capacity to work as a part of a team, as the role demands cross-departmental collaboration.

The department is wholly committed to advancing the technological footprint and harnessing all the benefits this would entail. The successful candidate is expected to be a part of this vision. A keenness for integrating best data practices and technology within a practical business context will be beneficial.

Key Responsibilities:

• Gather data from a variety of sources, including databases, spreadsheets, and external datasets.
• Clean, format, and convert raw data to ensure its accuracy and readiness for analysis. This may involve dealing with missing values, outliers, and inconsistencies.
• Translate analytical outcomes into significant insights and actionable recommendations for decision-makers.
• Prepare reports, dashboards, and share findings with relevant stakeholders.
• Maintain data integrity, security, and documentation. Ensure data is organized and readily accessible for analysis.
• Develop new business processes on the cloud (Azure Synapse) data warehouse when required
• Discover hidden patterns or trends in data to inform business strategies.
• Compose SQL queries to extract and manipulate data from relational databases.
• Create data models for various purposes, such as forecasting and budgeting
• Ensure data quality, accuracy, and compliance with relevant regulations and policies.
• Stay well-informed with industry trends, tools, and techniques to enhance analytical abilities.
• Work closely with other teams, such as financial accountants and decision-makers, to understand their needs and provide insights that can steer business decisions.
• Clearly communicate intricate technical findings to non-technical stakeholders.
   

Qualifications

• Appropriate Data Analytics or Data Science Qualification (i.e., Degree in Computer Science, Information Systems, Actuarial, Financial Degree)

Experience required
Essential:

• 3 - 5+ years of relevant industry experience
• Experience in creating and maintaining data models
• Experience in synapse analytics or data factory

Advantageous:

• Exposure to the finance environment 
• Experience in processes 

Other Skills required:

• Advanced MS Excel
• Microsoft SQL Server
• Python
• SQL Server Reporting Services (SSRS) 
• Power BI modeling and reporting
• MS Office (excluding Excel) (advantageous)
• Experience with Azure and Synapse analytics (advantageous)

Additional Information

An ideal candidate will be able to align their personal work values to the OUTsurance values of awesome service, dynamic, honest, human, passionate, and recognition.

In accordance with the employment equity goals set by OUTsurance Insurance Company Ltd, preference will be given to individuals who meet the job requirements and belong to various designated groups.