Genesys Cloud Data Engineer/Analyst

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Job Overview

The Genesys Cloud Data Engineer/Analyst at KPG99 INC. will play a pivotal role in enhancing our data infrastructure and analytics capabilities within the Genesys Cloud environment. This position is designed for a professional who is adept in analyzing, engineering, and visualizing data to support decision-making processes. The incumbent will collaborate closely with cross-functional teams to optimize data pipelines, ensure data integrity, and provide insightful analyses that drive operational efficiencies and improve customer experiences.

Job Responsibilities

• Design and implement data models within the Genesys Cloud ecosystem to facilitate effective data analysis.
• Develop, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure timely and accurate data flows.
• Collaborate with stakeholders to gather requirements and translate them into data-driven solutions.
• Conduct in-depth analysis of data sets to uncover trends and insights that inform strategic initiatives.
• Monitor and troubleshoot data quality issues, ensuring high levels of data integrity and availability.
• Create and maintain comprehensive documentation for all data processes and systems to aid knowledge sharing.
• Provide training and support to team members on data-related tools and best practices.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or data analysis, preferably within a cloud environment.
• Proficient in SQL and other programming languages such as Python or R.
• Experience with cloud platforms, particularly Genesys Cloud, is strongly preferred.
• Strong understanding of data warehousing concepts, data modeling, and ETL processes.
• Experience with data visualization tools, such as Tableau, Power BI, or similar.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication skills to articulate complex data concepts to non-technical stakeholders.

Technologies & Tools

The Genesys Cloud Data Engineer/Analyst will utilize various technologies and tools including SQL databases, data visualization platforms (e.g., Tableau or Power BI), Python or R for data manipulation, and cloud services associated with the Genesys Cloud platform. Familiarity with ETL tools and data warehousing technologies will also be essential in this role to facilitate data management and analytics.

Ideal Candidates

Ideal candidates for this position demonstrate a strong analytical mindset coupled with a passion for data-driven decision-making. They exhibit excellent teamwork and interpersonal skills while possessing the ability to work independently on complex projects. A successful candidate will be proactive, detail-oriented, and possess a continuous improvement mindset, always seeking to enhance data processes and analytical capabilities within the organization.