Data Analyst

Location:Johannesburg (On-site)
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 non-technical stakeholders.
• Ability to collaborate with various departments to identify and fulfill data needs.

Results-Driven

• 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 data-driven solutions.
• Continuously seek opportunities to improve data processes and reporting.