Data Analyst

Daxwell; Houston (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Daxwell seeks a Data Analyst to support strategic and operational decision-making through data analysis, automation, reporting, and visualization in Houston, Texas. This role blends hands-on analytics with the development of data-driven and AI-enabled solutions to improve accuracy, efficiency, and scalability.

The ideal candidate will have strong SQL and Python skills, experience with data modeling, ETL, and automated workflows, and a track record of translating insights into actionable

Qualifications

• Strong proficiency in SQL and Python.
• ,
• Solid understanding of data modeling, ETL design, data quality, and performance optimization for analytical workloads.
• Experience supporting business operations, reporting, forecasting, pricing, planning, or other enterprise analytical functions.
• Experience designing, testing, or implementing automated and AI-enabled workflows, including agentic solutions, preferred.
• Familiarity with Java, Apache Airflow, Kafka, Flink, AWS EKS, AWS EMR, or related data and cloud technologies is a plus.
• Strong problem-solving and communication skills, with the ability to translate operational and domain knowledge into practical analytical and agentic solutions.

Responsibilities

• Execute recurring operational activities within an assigned business domain and identify opportunities to improve accuracy, efficiency, and scalability.
• Design, maintain, and validate data pipelines, reports, dashboards, and analytical workflows using SQL, Python, Spark, Java, and related technologies.
• Analyze operational data to identify trends, anomalies, risks, root causes, and improvement opportunities.
• Develop and automate reporting, data validation, and operational processes.
• Support the design, implementation, and testing of agentic AI solutions, including orchestration, domain analysis, and other specialized workflows.
• Test applications, data workflows, and AI-enabled solutions for data accuracy, functionality, usability, and alignment with business requirements.
• Translate analytical findings into clear recommendations, visualizations, reports, and business presentations.
• Collaborate with business, data, engineering, and other cross-functional teams to deliver solutions aligned with organizational priorities.

Skills

SQL

Python

Data modeling

ETL design

Data quality

Performance optimization

Communication

Tools

Apache Airflow

Kafka

Flink

AWS EKS

AWS EMR

Job description

We are seeking Data Analyst to support strategic and operational decision-making through data analysis, automation, reporting, and visualization. This role combines hands-on operational responsibilities with the development and implementation of data-driven and AI-enabled solutions.

The ideal candidate has relevant business or operational domain experience, strong analytical and SQL skills, and experience with data modeling, automation, and software testing.

• Execute recurring operational activities within an assigned business domain and identify opportunities to improve accuracy, efficiency, and scalability.
• Design, maintain, and validate data pipelines, reports, dashboards, and analytical workflows using SQL, Python, Spark, Java, and related technologies.
• Analyze operational data to identify trends, anomalies, risks, root causes, and improvement opportunities.
• Develop and automate reporting, data validation, and operational processes.
• Support the design, implementation, and testing of agentic AI solutions, including orchestration, domain analysis, and other specialized workflows.
• Test applications, data workflows, and AI-enabled solutions for data accuracy, functionality, usability, and alignment with business requirements.
• Translate analytical findings into clear recommendations, visualizations, reports, and business presentations.
• Collaborate with business, data, engineering, and other cross-functional teams to deliver solutions aligned with organizational priorities.

Qualifications:

• Strong proficiency in SQL and Python.
• Solid understanding of data modeling, ETL design, data quality, and performance optimization for analytical workloads.
• Experience supporting business operations, reporting, forecasting, pricing, planning, or other enterprise analytical functions.
• Experience designing, testing, or implementing automated and AI-enabled workflows, including agentic solutions, preferred.
• Familiarity with Java, Apache Airflow, Kafka, Flink, AWS EKS, AWS EMR, or related data and cloud technologies is a plus.
• Strong problem-solving and communication skills, with the ability to translate operational and domain knowledge into practical analytical and agentic solutions.