Remotery

Data Executive

Posted 1 day ago

This is a fully remote position, open to applicants in South Africa.

📋 Description

• Identify, develop, and categorize data lists for marketing, sales, or outreach initiatives.

• Ensure that lists are precise, targeted, and adhere to applicable data protection regulations.

• Collaborate with internal teams to grasp list specifications and requirements.

• Cleanse, validate, and remove duplicates from data across various systems.

• Detect and rectify inconsistencies, inaccuracies, and outdated entries.

• Uphold data quality standards, best practices, and maintenance processes for databases.

• Assist in generating and managing reports and dashboards.

• Provide support for ad hoc data inquiries and analyses.

• Guarantee the accuracy and consistency of reporting data.

• Acquire skills in Excel, Power BI, and Tableau for data visualization.

• Work collaboratively across departments to understand their data requirements.

• Contribute to broader data projects and initiatives.

• Participate in training sessions and fulfill apprenticeship coursework.


⛳️ Requirements

• Exceptional attention to detail and a systematic approach to tasks.

• Proficient in Microsoft Excel (or a readiness to learn swiftly).

• Strong verbal and written communication abilities.

• An inquisitive and proactive mindset with a genuine interest in data.

• Capacity to effectively manage time and handle multiple responsibilities.

• Familiarity with data tools (e.g., CRM systems, Excel formulas, Power BI/Tableau) is desirable.

• Interest in pursuing a career in data, analytics, or marketing operations is advantageous.

• Basic knowledge of data protection principles (e.g., GDPR) is preferred.


🏝️ Benefits

• Earn a recognized apprenticeship qualification (e.g., Data Technician Level 3).

• Gain practical training in data management, reporting, and dashboard tools.

• Receive mentorship and guidance from seasoned data professionals.

• Enjoy a clear pathway for career advancement within the data and analytics team.

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