Data Insights Analyst (Entry / Junior)

Position Overview

We are looking for an enthusiastic Data Insights Analyst at entry or junior level to assist in analyzing data and delivering meaningful insights that support strategic business decisions. This role involves data collection, interpretation, and presentation while collaborating closely with various departments to identify trends and improve overall business performance.

Key Responsibilities

• Gather, clean, and examine data obtained from diverse sources.
• Create reports, interactive dashboards, and visual data representations to aid decision-making processes.
• Discover trends, patterns, and potential opportunities through comprehensive data evaluation.
• Contribute to designing and updating data models and reporting systems.
• Work together with internal stakeholders to clarify business needs and data requirements.
• Maintain consistent accuracy, integrity, and quality of data across different platforms.
• Perform on-demand analyses and deliver actionable recommendations based on data insights.

Prerequisites

• Preferably hold a Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or a related discipline.
• Prior experience in data analysis, business intelligence, or similar roles is beneficial.
• Proficient use of Microsoft Excel, SQL, and data visualization software such as Power BI or Tableau.
• Possess strong analytical thinking, problem-solving capabilities, and critical evaluation skills.
• Excellent verbal and written communication skills for effective presentations.
• Capable of working independently, juggling multiple responsibilities, and adhering to deadlines.
• Detail-oriented with a strong dedication to ensuring data accuracy.

Compensation and Benefits

• Competitive remuneration along with bonuses tied to performance.
• A nurturing workplace that offers mentorship and guidance.
• Availability of training programs, certifications, and growth-oriented professional development.
• Clear prospects for career advancement within data analytics and business intelligence sectors.
• Support for maintaining work-life balance with options for flexible or hybrid work schedules.