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Daxwell

Data Analyst Job at Daxwell in Houston

Daxwell, Houston, TX, United States, 77246

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We are seeking Data Analyst to support strategic and operational decision-making through rigorous data analysis, automation, reporting, and visualization. The ideal candidate has a combination of strong analytical and SQL skills with fluency in data modeling and automation.

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

Qualifications

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

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Manufacturing
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