Location: Johannesburg (Onsite)
Position Type: Permanent
Travel Required: Yes
JOB PURPOSE
The Data Analyst is responsible for transforming data into actionable insights that drive business decisions. This includes data collection analysis and reporting as well as ensuring data integrity and consistency across the organization.
QUALIFICATIONS:
- A degree in Computer Science Data Science Statistics Applied Mathematics or a related field.
- Equivalent work experience in finance supply chain management engineering or manufacturing operations is advantageous.
EXPERIENCE:
- At least three years of experience in data analysis business intelligence or a related field.
- Experience in financial analytics sales and distribution customer journey analytics marketing analytics or process control is preferred.
SKILLS AND ABILITIES REQUIRED:
Technical Skills
- Proficiency in SQL PL/SQL and other database programming languages.
- Familiarity with data visualization tools (e.g. Tableau Power BI).
- Experience with Excel and statistical analysis tools.
Analytical Skills
- Strong ability to analyze data sets and translate them into meaningful insights.
- Knowledge of basic statistical and data mining techniques.
Communication and Collaboration
- Excellent communication skills to convey complex data insights to nontechnical stakeholders.
- Ability to collaborate with various departments to identify and fulfill data needs.
ResultsDriven
- Focus on achieving business outcomes through effective data analysis.
- Ability to manage multiple tasks and prioritize effectively.
ROLE RESPONSIBILITIES:
Data Collection and Integration
- Gather and integrate data from multiple sources.
- Ensure the accuracy and integrity of data collected.
Data Analysis
- Perform detailed data analysis to identify trends patterns and insights.
- Create reports and dashboards to present findings to stakeholders.
Collaboration and Communication
- Work closely with business units to understand their data needs.
- Translate business requirements into datadriven solutions.
Continuous Improvement
- Continuously seek opportunities to improve data processes and reporting.