Data Analyst

Paycom - ATS; Cupertino, San Jose (CA, CA); On-site; USD 81,000 - 99,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k)

Job summary

Paycom in Cupertino, CA seeks a Data Analyst to develop, monitor, and refine security and operational data processes. You will interact with clients and SIS management, applying SQL, Python, Tableau, and related tools to drive compliance and analytics initiatives.

The role focuses on building scalable data pipelines, designing AI-enabled analytical workflows, and delivering automated reports. It reports to the Senior Retail Operations Manager and offers a dynamic environment with growth

Qualifications

• Proficient in Python, SQL, querying databases and analytics tools.
• Experience with data pipelines and data transformation techniques.
• Strong foundation in compliance and data analytics.

Responsibilities

• Investigative data analysis across multiple systems.
• Use statistical and machine-learning techniques to build scalable systems.
• Maintain and update live data pipelines and integrate new data sources.

Skills

Python

SQL

Tableau

Data analytics

Machine learning

Data pipelines

Education

Bachelor's degree in IT/Statistics/Data Science/CS

Tools

APIs

Structured Databases

CI/CD

Job description

Job Details: Job Location: CA Cupertino - Cupertino, CA, Position Type: Full Time, Salary Range: $90000.00 - $90000.00Salary

About the role: The Data Analyst's duties include developing, executing, and refining service requests, which may involve routine monitoring of online platforms for potential security and operational hazards, escalation procedures, and data report creation. This role involves direct interaction with clients and SIS management and requires providing specialized guidance on security intelligence matters. The ideal candidate possesses a robust foundation in compliance and data analytics, with proficiency in SQL, Python, Tableau, and other relevant tools. This position reports to the Senior Retail Operations Manager.

Responsibilities

• Investigative data analysis, pulling and reconciling data across multiple systems
• Use statistical and machine-learning techniques to build scalable systems.
• Maintain and update live data pipelines and operationalize new data pipelines as additional data sources are identified within the scope of deliverables.
• Analyze and extract relevant information from large amounts of the Client's historical business data to help automate and optimize key processes.
• Design, development, and evaluation of highly innovative models for predictive learning.
• Establish scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation.
• Building SOPs for gathering data and searching specific systems
• Regular control monitoring report resolutions
• Use individual problem-solving and analytical skills to authenticate customers
• Perform other related duties as required
• Design, build, and deploy AI-based analytical workflows (including LLM-powered tools and agentic pipelines) to automate security intelligence monitoring, anomaly detection, and reporting tasks.
• Develop, test, and refine prompts for AI/LLM applications; fine-tune models on domain-specific data to improve accuracy, relevance, and consistency of outputs for security and compliance use cases.
• Establish evaluation frameworks and QC processes (accuracy benchmarks, hallucination checks, bias/drift monitoring) to continuously assess and improve AI model and pipeline performance.
• Apply understanding of modern software development practices — version control, code review, testing — to build maintainable, production-grade data and AI pipelines; CI/CD pipeline design and deployment automation.
• Support infrastructure management for data/AI systems (cloud resources, containerization, environment configuration) and contribute to CI/CD automation for reliable, scalable deployment of models and data pipelines.

Qualifications

• A bachelor's degree in information technology (IT), Statistics, Mathematics, Data Science, Computer Science, or equivalent military/professional training
• 3-5 years of Data Engineering, Data Analytics, and Machine Learning experience
• Proficient in Python, SQL, querying databases, familiarity with analytics tools, and statistical techniques
• Skilled in developing data pipelines from diverse sources, including APIs and Structured Databases
• Strong expertise in data transformation, processing, and visualization
• Self-motivated team player with the flexibility to work various shifts and deliver high-quality results, and willing to assist the team with overtime as applicable
• Maintain required state guard card and client-requested certifications; employee is responsible for documentation and fees.

We Offer

• $90,000 salary
• Health, Dental, Vision, and 401(k)
• Paid Time Off, including Sick/Safe Time
• A dynamic and challenging work environment with opportunities for growth