Lead-Data Analytics

Company Description

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland
Unlocking digital performance. Delivering measurable results.

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Clark, Philippines. As a Data Analyst, you will play a crucial role in transforming raw data into actionable insights that drive business decisions.

• Collect, process, and analyze large datasets from various sources
• Develop and maintain databases, data systems, and data analytics platforms
• Create comprehensive reports and interactive dashboards to present findings
• Identify trends, patterns, and anomalies in complex datasets
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions
• Develop and implement data quality assurance procedures
• Stay up-to-date with industry trends and emerging technologies in data analytics

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
• 2-3 years of experience in data analysis or related field
• Proficiency in SQL and database management
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Strong knowledge of statistical analysis and data mining techniques
• Proficiency in programming languages (e.g., Python, R)
• Advanced Excel skills
• Understanding of business intelligence and data warehousing concepts
• Excellent analytical and problem-solving skills
• Strong attention to detail and ability to work efficiently in a fast-paced environment
• Effective communication skills to present complex data in a clear, concise manner