Data Analyst

Daxwell; Houston (TX); On-site; USD 65,000 - 95,000; Full time

Job summary

Daxwell is seeking a Data Analyst to support strategic and operational decision-making through data analysis, automation, reporting, and visualization. This role blends hands-on operational duties with building data-driven and AI-enabled solutions for scalable impact.

The ideal candidate will have strong SQL and Python skills, experience with data modeling, ETL design, and the ability to translate findings into actionable insights for cross-functional teams.

Qualifications

• Proficiency in SQL and Python required.
• Strong understanding of data modeling and ETL design.
• Experience with data quality and optimization for analytical workloads.

Responsibilities

• Execute recurring operational activities within a business domain to improve accuracy and efficiency.
• Design, maintain, and validate data pipelines, reports, dashboards, and analytical workflows.
• Analyze operational data to identify trends, anomalies, risks, and root causes.

Skills

SQL

Python

Data modeling

ETL design

Data quality

Performance optimization

Analytical thinking

Communication

Tools

Apache Airflow

Kafka

Spark

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.