We are seeking a highly skilled and detail-oriented Data Analyst to join our Operations team. The successful candidate will be responsible for collecting, interpreting, and analyzing data to provide actionable insights that support business decisions. This role involves data accuracy, timely reporting, process optimization, and the development of data-driven solutions that enhance organizational efficiency.

Key Responsibilities

Data Accuracy & Quality

• Interpret data and transform it into actionable business
• Ensure database efficiency, secure data storage, and effective
• Leverage tools such as Tableau, Power BI, and Excel for reporting and

Data Timeliness

• Build analytical models to forecast performance, identify trends, and propose
• Estimate project timelines, break down tasks, and ensure timely report
• Maintain appropriate documentation for data analysis

Data Completeness

• Generate detailed reports highlighting organizational strengths, weaknesses, and
• Provide comprehensive data-driven solutions across multiple sources and business areas.
• Develop automated data processes and lifecycle management for online and offline use.

Teamwork & Leadership

• Mentor and guide team members to achieve and exceed performance
• Conduct departmental training on data processes and analytics best
• Ensure compliance with data privacy regulations and company

Compliance & Continuous Improvement

• Formulate and execute new internal process flows and
• Conduct regular audits to ensure productivity and compliance across all

Must-Have Qualifications

Education:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or Finance.

Certifications an added advantage:

• Google Data Analytics Professional Certificate
• Microsoft Certified: Data Analyst Associate
• IBM Data Science Professional Certificate
• SAS Data Scientist
• Tableau Desktop Specialist

Professional Experience

• 3–5 years’ experience in Data Analysis, Business Intelligence, or a similar role.
• Proven track record in analyzing large datasets and developing actionable