Data Analyst

Network International; Johannesburg; On-site; ZAR 30 000 - 60 000; Full time

Job summary

Join a forward-thinking global payments FinTech as a Data Analyst, where you'll play a pivotal role in transforming raw data into valuable insights. This position offers the opportunity to work closely with various departments, leveraging your analytical skills to drive informed decision-making. You'll be part of a dynamic, agile team dedicated to enhancing data processes and solutions. If you're passionate about data and eager to contribute to a company on a journey towards data maturity, this role is perfect for you. Embrace the challenge of solving complex problems in a fast-paced environment and make a significant impact on the business.

Qualifications

• Bachelor's degree or equivalent qualification in a relevant field.
• Proven experience in data analysis with strong SQL and Python skills.

Responsibilities

• Transform raw data into actionable insights to support decision-making.
• Manage daily data requests and optimize data automation processes.

Skills

Data Analysis

SQL

Python

Microsoft Excel

PowerPoint

Problem-solving

Communication Skills

Education

Bachelor's degree in a relevant field

3-year tertiary qualification

Tools

Tableau

PowerBI

QlikSense

Looker

Grafana

Job description

Job Description

Join our dynamic team at a leading global payments FinTech as we seek a versatile Data Analyst to contribute to our South African operations. Under the guidance of the Head of Data and VAS at Payfast, you'll assist all areas of the business in their decision-making and operations by drawing valuable insights from our data and solving a range of interesting and complex problems.

Responsibilities

1. Use your knowledge, skills, and experience to support the business in decision-making by turning raw data into valuable information and insights
2. Present and communicate insights to stakeholders in a way that is understandable and actionable
3. Manage daily data requests from internal and external stakeholders to address their data needs
4. Implement, maintain, and optimize data automation processes to improve efficiencies and enable scalable solutions across all areas of the business
5. Operate in a fast-paced environment to solve a wide range of problems by leveraging internal business understanding and using first-principle thinking
6. Work across multiple departments and interact with several different databases and systems
7. Work in a small, agile data team and contribute to an evolving company that is on a data maturity journey
8. Effectively document work and actively partake in knowledge-sharing within the team

Qualifications

• Bachelor's degree or other 3-year tertiary qualification in a relevant field
• Proven working experience in data analysis
• Advanced knowledge of Microsoft Excel and PowerPoint
• Strong SQL experience
• Experience using Python for data analysis and automation
• Knowledge of visualization tools such as Tableau, QlikSense, PowerBI, Looker, or Grafana
• Problem-solving skills
• Strong verbal and written communication skills
• Advantageous if you have knowledge of the payments or banking industry
• Advantageous if you have technical proficiency in database design and data models