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Daxwell
Verified live 2d ago

Data Analyst

Brief overview

Houston, TXIn-person
10 H-1B approvalsDept. of Labor
SQLPythonPandasPySparkData modelingBatch processing designPerformance optimization for analytical queriesData validationData cleansingData transformationExploratory data analysisKPI framework developmentData visualizationBusiness analyticsForecastingOperational planningApache Airflow

About the company

Daxwell is a manufacturer of single-use product companies in healthcare, food service, and industrial disposables.

Visa sponsorship history

3 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
10H-1B approved
100%approval rate
10new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20243
20252
20265

Job description

Summary

Daxwell is seeking a Data Analyst to support strategic and operational decision-making through rigorous data analysis, automation, reporting, and visualization. The ideal candidate will design and maintain automated data pipelines, conduct data validation, and translate complex data into actionable insights.

Responsibilities

  • Design, build, and maintain automated data pipelines and dashboards to support business operations, planning, and performance tracking
  • Conduct data validation, cleansing, and transformation on structured and semi-structured datasets using SQL, Python, and Spark
  • Perform exploratory data analysis and develop ad-hoc analytical models to identify trends, anomalies, and optimization opportunities
  • Support data governance, quality assurance, and contract validation efforts within the enterprise data platform
  • Develop and maintain KPI frameworks across finance, supply chain, and operations domains; ensure data definitions are consistent across systems
  • Translate complex data into clear, actionable insights through well-structured narratives, visualizations, and business presentations
  • Partner closely with engineering, finance, operations, and product teams to align analytical outputs with business priorities
  • Contribute to the development of analytical feature stores and assist Data Science teams with dataset preparation for modeling and ML pipelines

Skills

  • Expertise in SQL and Python, with hands-on experience using Pandas and PySpark for analytical workflows
  • Deep understanding of data modeling, batch processing design, and performance optimization for analytical queries
  • Strong communication skills, with the ability to articulate analytical findings and recommendations to technical and non-technical stakeholders alike
  • Experience in business analytics, forecasting, or operational planning within enterprise environments preferred
  • Familiarity with EKS and EMR deployments, as well as data frameworks such as Apache Airflow, Flink, and Kafka, is a plus

Qualifications

Must Haves

  • Expertise in SQL and Python, with hands-on experience using Pandas and PySpark for analytical workflows
  • Deep understanding of data modeling, batch processing design, and performance optimization for analytical queries
  • Strong communication skills, with the ability to articulate analytical findings and recommendations to technical and non-technical stakeholders alike

Nice to Haves

  • Experience in business analytics, forecasting, or operational planning within enterprise environments preferred
  • Familiarity with EKS and EMR deployments, as well as data frameworks such as Apache Airflow, Flink, and Kafka, is a plus

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