Data Analyst

Key Responsibilities:

• Develop Reporting Suites:

  Design, build, and maintain standardized and customized reporting frameworks aligned with business goals and client needs.

• Standardize Reporting Formats:

  Define consistent metrics, data sources, and visualization styles across brands to ensure uniformity and clarity.

• Customize Reports:

  Collaborate with stakeholders to deliver tailored reports that facilitate informed decision-making.

• Establish Reporting Infrastructure:

  Implement and manage tools and platforms that enable self-service reporting and easy data access.

• Ensure Data Accuracy:

  Develop robust validation and quality assurance processes to maintain data integrity across all reports.

• Cross-functional Collaboration:

  Work closely with marketing, sales, analytics, and IT teams to streamline data inputs and reporting workflows.

• User Support & Training:

  Provide comprehensive training and ongoing support to users for effective utilization of reporting tools.

• Monitor & Optimize Performance:

  Track report usage and user feedback to continuously enhance report quality and relevance.

• Upgrade Reporting Tools:

  Identify opportunities and implement improvements in reporting platforms and technologies.

• Client Reporting Standards:

  Create standardized, visually impactful reports that capture key metrics consistently across all brands.

• Drive Innovation:

  Encourage new ideas, explore advanced visualization techniques, and adopt emerging technologies to improve reporting capabilities.

• Data Analysis & Insights:

  Translate complex data sets into actionable insights supporting strategic business decisions.

• Ensure Compliance:

  Align all reporting practices with ISO standards and health, safety, and environmental regulations.

Qualifications & Experience:

• Bachelor's degree in Business Administration, Data Analytics, Computer Science, or a related field.
• Minimum 6 years of experience in developing and managing reporting suites, preferably within a multi-brand or agency environment.
• At least 2 years of hands-on experience with Python programming.
• Strong proficiency in VBA debugging, ETL processes, statistical analysis, and data validation.
• Advanced skills in data visualization and reporting tools such as Tableau, Power BI, or equivalent platforms.
• Deep understanding of data structures, governance principles, and data quality management practices.
• Excellent analytical thinking, problem-solving skills, and effective communication abilities.
• Proven track record of managing multiple stakeholders and delivering accurate, timely reports in a dynamic, fast-paced environment.