Analytics Engineer Job Listing at Paycom in Grapevine, TX (Job ID 470066)

Description

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. 

Education/Certification:

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Business Analytics or related field.

PREFERRED QUALIFICATIONS

Education/Certification:

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Business Analytics or related field.

Experience:

• 2+ years' Experience in building data pipelines for production applications
• 2+ years' Experience developing software utilizing various languages, including Python, SQL and/or the ability to pick up new languages quickly
• Familiarity with Large Language Models and using them in production applications
• Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling
• Demonstrated ability to influence and align cross-functional teams in technical and business domains
• Ability to tactfully and effectively give and receive concrete feedback
• Experience with prompt engineering and RAG
• Ability to work cross-functionally and communicate technical findings to non-technical audiences
• Excellent product intuition and business acumen, with experience influencing product strategy

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands and fingers to handle, type, or feel; reach with hands and arms; and talk or hear. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.

WORK ENVIRONMENT AND ENVIRONMENTAL CONDITIONS

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

No hazardous or significantly unpleasant conditions. (Such as in a typical office). The noise level in the work environment is usually moderate.

Paycom is an equal opportunity employer and prohibits discrimination and harassment of any kind. Paycom makes employment decisions on the basis of business needs, job requirements, individual qualifications and merit. Paycom wants to have the best available people in every job. Therefore, Paycom does not permit its employees to harass, discriminate or retaliate against other employees or applicants because of race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status or any other consideration made unlawful by applicable laws. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. The Human Resources Department has overall responsibility for this policy and maintains reporting and monitoring procedures. Any questions or concerns should be referred to the Human Resources Department. ****To learn more about Paycom's affirmative action policy, equal employment opportunity, or to request an accommodation - Click on the link to find more information: paycom.com/careers/eeoc