Analytics Assistant

The Analytics Assistant is a part-time, hybrid role based in Dubai, United Arab Emirates, with flexibility for some work from home.

This role supports data-driven decision-making by collecting, organizing, and validating operational, sales, and production data related to textile machinery and associated processes.

The Analytics Assistant helps prepare regular reports and dashboards, performs basic data analysis to identify trends and variances, and collaborates with internal teams to clarify data requirements and resolve inconsistencies.

may include maintaining spreadsheets and databases, documenting data sources and definitions, and assisting in the preparation of presentations and summaries for management.

The role also involves contributing to process improvements in data collection and reporting to enhance accuracy and efficiency.

• Candidates should possess skills in data collection, data entry, and basic data validation to ensure accurate and consistent information for analysis.
• Candidates should possess skills in spreadsheet tools (e.g., Excel or similar), basic data analysis, and report generation to support operational and management reporting.
• Candidates should possess skills in organizing information, maintaining documentation, and managing databases or data files in a structured and secure manner.
• Candidates should possess skills in written and verbal communication, including the ability to present findings clearly and collaborate effectively with cross-functional teams.
• Candidates should possess skills in time management, attention to detail, and problem-solving to handle multiple tasks and identify data issues proactively.
• Relevant qualifications such as a diploma or bachelor’s degree in business, statistics, engineering, information systems, or a related field are beneficial.
• Familiarity with manufacturing or industrial environments, interest in textile machinery and automation, and experience with basic analytical or BI tools are advantageous.
• Ability to work in a hybrid setup in Dubai, demonstrate reliability, and adhere to quality, safety, and data confidentiality standards is required