Business Intelligence Developer (Operations Business Intelligence)

Augment Professional ServicesHouston, TX
Onsite

About The Position

The role sits at the intersection of business analysis and technical data science work. The Technical Analyst is expected to understand business problems and translate them into technical requirements. They will develop and implement data pipelines, automation, and analytical solutions, working with large, complex datasets (spatial, temporal, structured, and unstructured). This position supports data scientists and business stakeholders by building the infrastructure and tools needed for analytics and machine learning.

Requirements

  • Degree in Computer Science, Data Science, or related field.
  • 3–5 years of experience in a hybrid role (business analysis + technical work).
  • Strong technical and problem-solving skills with the ability to communicate effectively across teams.
  • Programming: Python, Java, R, SQL.
  • Databases/ETL: Snowflake, PostgreSQL, MongoDB, Astra DB.
  • Cloud: AWS (S3, SageMaker).
  • Collaboration/DevOps Tools: Git, Jira, Confluence, PyCharm.
  • Machine Learning: Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, OpenCV.
  • Geospatial Analysis: ArcGIS, QGIS, CARTO, or Python geospatial libraries.
  • Strong communication and stakeholder engagement.
  • Self-motivated and collaborative.
  • Customer-focused mindset.
  • Comfortable working in Agile environments.

Nice To Haves

  • Generative AI: Experience with large language models and GenAI frameworks.

Responsibilities

  • Gather requirements, analyze processes, and document solutions.
  • Write scripts, build APIs, create automation tools.
  • Maintain pipelines, ensure data quality, and enable analytics.
  • Partner with data scientists and business users to deliver insights.
  • Develop dashboards and reports to communicate findings.
  • Apply GIS tools for location-based insights.
  • Contribute to sprint planning, backlog grooming, and testing.
  • Ensure best practices are captured and shared.
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