Analytics Engineer

Paycom is seeking a highly skilled and self-motivated Data Analyst to join our team, responsible for transforming complex data into actionable insights that drive business growth and inform strategic decision-making. As a Data Analyst, you will design, build, and maintain large-scale data pipelines, develop predictive models, and apply AI and machine learning techniques to uncover trends, patterns, and anomalies. You will collaborate with cross-functional teams to deliver data-driven solutions, communicate findings to stakeholders, and drive business outcomes through data-driven decision support. If you have a passion for data analysis, a talent for storytelling with data, and experience working with cutting-edge technologies, we encourage you to apply for this exciting opportunity.

Responsibilities

• Build data pipelines following the most optimum industry standards
• Build forecasting models to understand user behavior and user retention
• Clean and preprocess data to ensure accuracy and consistency
• Automate workflows and data processing tasks
• Perform exploratory data analysis to uncover trends, patterns, and anomalies
• Apply AI and machine learning techniques to derive insights from complex datasets
• Create visually appealing and interactive dashboards, reports, and presentations
• Communicate findings and recommendations to stakeholders using data visualization tools
• Collaborate with cross-functional teams to design and deliver actionable insights
• Identify and address data quality issues and discrepancies
• Implement data quality controls and monitoring mechanisms
• Partner with business units to define key performance indicators (KPIs) and metrics
• Analyze business processes and operations to identify opportunities for improvement
• Provide decision support through ad-hoc analysis and scenario modeling.