Data Analyst/ Data Capturer: Sasol Secunda - Fidelity Services Group

eg. Accountant or Accounting or Kempinski



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Data Analyst/ Data Capturer: Sasol Secunda - Fidelity Services Group





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1. Patiently scroll down and read the job description below.

2. Scroll down and find how to apply or mode of application for this job after the job description.

3. Carefully follow the instructions on how to apply.

4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.


We are currently seeking a talented and motivated individual to join our team as a Data Analyst/ Data Capturer. This position offers an exciting opportunity to contribute to our organization's success through effective data analysis and management.

Responsibilities:

  • Data Analysis: Collect, interpret, and analyze data to identify trends, patterns, and insights that will support informed decision-making within the organization.
  • Data Capturing: Enter and maintain accurate data in our systems, ensuring data integrity and adherence to established protocols.
  • Data Reporting: Generate reports and visualizations to communicate findings and present data-driven recommendations to relevant stakeholders.
  • Process Improvement: Identify opportunities to streamline data capture and analysis processes, implementing efficient solutions to enhance productivity.
  • Collaboration: Work closely with cross-functional teams, including Operations, and Management, to ensure data-related requirements are met and support ongoing initiatives.


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Requirements:

  • Education: Grade 12 and/or relevant certifications in data analysis or database management will be advantageous.
  • Minimum of two years experience within a Data Analysis/ Data Capturer or relevant field.
  • Experience: Proven experience in data analysis and data capturing roles, preferably within the security services industry or a related field.
  • Technical Skills: Proficiency in data analysis tools such as Excel, Online Intelligence etc.
  • Attention to Detail: Strong analytical and problem-solving skills with a keen eye for detail and the ability to spot data anomalies or inconsistencies.
  • Communication: Excellent verbal and written communication skills, with the ability to present complex data findings in a clear and concise manner.
  • Team Player: Demonstrated ability to work collaboratively in a team environment, fostering effective relationships and contributing to collective goals.
  • Confidentiality: Adherence to strict confidentiality and data protection policies, ensuring the security and privacy of sensitive information.
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