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DATA Analyst
Infinit-O isn’t just about business process optimization, we’re about people. For over 20 years, we’ve been helping some of the world’s fastest-growing companies in Financial Services, Healthcare, and Technology achieve multiple strategic advantages through data-driven solutions, high-performance teams, and cutting-edge technology. Our world-class Net Promoter Score of 75 reflects our commitment to excellence and client satisfaction.
But what truly sets us apart is our culture. At Infinit-O, we believe that diversity, equity, and inclusion are the foundation of innovation and sustainable growth. We embrace differences, empower perspectives, and create equal opportunities for everyone. Our people-first approach has earned us the Great Place To Work Certification three times, and as a B Corp Certified company, we’re dedicated to making a positive impact not just in business, but in the communities we serve.
With a highly engaged and innovative team, we don’t just optimize processes, we also create meaningful change.
What is the role that we need? We are currently seeking a skilled and motivated Data Analyst to join our dynamic team. As a Data Analyst at Infinit-O, you will play a crucial role in collecting, analyzing, and interpreting data to provide valuable insights and support decision-making processes. You will collaborate with cross-functional teams to optimize data acquisition strategies, ensure data accuracy and quality, and drive continuous improvement.
Key Responsibilities:
Data Collection and Analysis: Collect, organize, and analyze data from various sources to identify trends, patterns, and insights.
Data Visualization: Create visually appealing and informative reports and dashboards to present data findings effectively to stakeholders.
Data Quality Assurance: Implement data validation processes to maintain the accuracy, completeness, and integrity of the data.
Business Insights: Translate data analysis into actionable recommendations to support strategic business decisions and process optimization.
Collaboration: Work closely with stakeholders from different departments to understand their data needs and provide analytical support.
Continuous Improvement: Identify opportunities to enhance data collection methods, processes, and tools to improve efficiency and effectiveness.
Job Requirements and Credentials:
Education: Bachelor’s degree in Computer Science, Information Technology or a related field. A master's degree in Data Science or relevant certifications is a plus.
Experience: Proven experience in data analysis, data visualization, and insights generation. Experience in the BPO or technology industry is preferred.
Analytical Skills: Strong analytical skills with the ability to collect, organize, and interpret complex data sets.
Technical Skills: Proficiency in data analysis tools such as Python, R, SQL, Excel, and data visualization tools like Tableau or Power BI.
Communication Skills: Excellent communication skills to effectively present data findings and insights to non-technical stakeholders.
Desired
Knowledge of machine learning algorithms and techniques for predictive analytics.
Certifications in data analytics or related fields.
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