Senior Analytics Engineer

FocusKPI, Inc. is seeking a highly skilled and experienced Senior Analytics Engineer to join our dynamic team within the Information Technology and Services industry. This pivotal role involves developing and managing advanced analytics solutions that drive strategic decision-making and enhance operational effectiveness across our organization. The successful candidate will leverage their expertise in data analysis, statistical modeling, and data visualization to provide actionable insights that facilitate business growth and innovation. You will work closely with cross-functional teams to gather requirements, design data models, and implement robust analytics frameworks that support the needs of various stakeholders. Your deep understanding of analytics tools, programming languages, and database technologies will be critical in ensuring the accuracy and reliability of our data-driven initiatives. As a senior member of our team, you will also mentor junior analysts, fostering a culture of continuous learning and improvement. If you are passionate about harnessing the power of data to drive meaningful changes and possess a strong analytical mindset, we encourage you to apply for this exciting opportunity to contribute to our mission at FocusKPI, Inc.

Responsibilities

• Design and develop scalable analytics solutions to support business objectives.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Build and maintain data pipelines and ETL processes for efficient data collection and transformation.
• Conduct advanced statistical analysis to identify trends, patterns, and insights in complex datasets.
• Create and implement data visualization dashboards to present analytics findings in a clear and actionable manner.
• Perform data quality checks and ensure data integrity across all analytics platforms.
• Mentor and guide junior analytics team members, helping to enhance their skills and knowledge.
• Stay up-to-date with industry trends and best practices in analytics, big data, and machine learning.

Requirements