Data Analyst - Sandton, South Africa - Green Marble Recruitment Consultants

Green Marble Recruitment Consultants

Verified Company

Sandton, South Africa

1 week ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Our client who is a trailblazer in the logistics and freight company is on the lookout for a dynamic and results-driven Data Analyst to join their team.

Seize this opportunity to play a pivotal role in optimizing supply chain operations, enhancing efficiency, and reshaping the future of global logistics.

If you're passionate about leveraging data to drive impactful decisions and thrive in a fast-paced environment, they want you on their team

Minimum Requirement

Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science) or equivalent work experience.
46 years Proven experience as a Data Analyst.
Excel Super-User.
Strong Analytical and problemsolving skills.
Excellent communication and presentation skills.
Ability to work collaboratively in a team environment.
Attention to detail and a commitment to delivering highquality work.

Responsibilities

Data Collection and Processing:

Acquire, clean, and preprocess large datasets from various sources.
Collaborate with crossfunctional teams to understand data requirements and ensure data accuracy.

Data Analysis:

Conduct exploratory data analysis to identify trends, patterns, and anomalies.
Perform statistical analyses to derive meaningful insights and support decisionmaking processes.

Reporting and Visualization:

Create and maintain interactive and insightful dashboards for key stakeholders.
Develop reports that communicate complex data findings in a clear and concise manner.

Collaboration:

Work closely with other departments to understand their data needs and provide analytical support.
Communicate findings to nontechnical stakeholders and contribute to datadriven decisionmaking.

Quality Assurance:

Implement data quality checks and ensure the integrity and accuracy of data.
Recommend and implement process improvement to enhance data quality and efficiency.