Data Analyst

SUMMARY:
Shape the Future with Data – Your Expertise as a Data Analyst Makes the Difference!

POSITION INFO:
Are you passionate about uncovering patterns, making sense of numbers, and driving strategic decisions? As a Data Analyst, you have the power to turn raw data into impactful insights that solve real-world problems and create lasting value for businesses.

In this role, you'll translate complex datasets into actionable intelligence, guiding key decisions and influencing outcomes. You'll be part of a dynamic team, no matter where you're based, working at the forefront of technology and analytics.

Ready to take the next step? Contact:

Duties:

• Collect and consolidate data from diverse sources (databases, APIs, spreadsheets, surveys).
• Analyse data to identify trends, patterns, and actionable insights.
• Design and maintain dashboards, reports, and visualisations using tools like Excel, Tableau, or Power BI.
• Ensure data integrity through quality checks and thorough documentation of methodologies.
• Partner with departments such as marketing, finance, and operations to support business goals.
• Identify process inefficiencies and recommend data-driven workflow improvements.
• Track key performance indicators (KPIs) and monitor business metrics.
• Stay current with emerging data analysis tools, techniques, and industry trends.

• Matric (Grade 12)
• Bachelor’s degree in information technology, Computer Science, Statistics, Mathematics or Economics
• Honour’s degree in data science, business analytics or relevant fields will be beneficial.
• Relevant certifications can strengthen a candidate’s profile: Microsoft Certified: Data Analyst Associate, Google Data Analytics Certificate, Tableau Desktop Specialist, SAS Certified Data Scientist, AWS Certified Data Analytics - Specialty

• 3 -5 Years of experience in data analytics and script development.
• Proficiency in using analytics tools such as ACL, IDEA, or SQL.
• Proficiency in tools like Excel, Tableau, Power BI, or QlikView for data visualisation and reporting.

• Strong analytical thinking and problem-solving skills.
• Results-driven with a focus on meeting targets and delivering quality outcomes.
• Ability to troubleshoot and resolve technical issues related to data tools.
• Solid grasp of statistical methods, hypothesis testing, regression analysis, and predictive modelling.
• Effective collaboration with cross-functional teams, including IT, marketing, and finance.