Technical Data Science Analyst

Overview

Hybrid
$60 - $70
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

Acceptance Testing
Agile
Amazon S3
Amazon SageMaker
Amazon Web Services
Analytical Skill
Analytics
ArcGIS
Business Analysis
Business Process
Cloud Computing
Collaboration
Communication
Confluence
Data Analysis
Data Modeling
Data Quality
Data Science
Database
Decision-making
Deep Learning
DevOps
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Geographic Information System
Geospatial Analysis
Git
JIRA
Java
Knowledge Sharing
Machine Learning (ML)
MongoDB
Needs Analysis
NumPy
OpenCV
Operational Efficiency
Pandas
PostgreSQL
PyCharm
PyTorch
Python
QGIS
R
SQL
Scripting
Snow Flake Schema
Software Development
Sprint
Supervision
Technical Analysis
Technical Writing
TensorFlow
scikit-learn

Job Details

Hybrid 4 days a week in Houston Office, Friday work from home.

Under general supervision, the Technical Analyst will bring a strong analytical mindset in support of business needs analysis and data/analytical solution development. This role combines technical capabilities with business analysis to analyze, test, and implement solutions that drive operational efficiency through advanced analytical capabilities. The ideal candidate will have a strong technical background and be comfortable working with large datasets (spatial and temporal) and collaborating with cross-functional teams including data scientists to deliver impactful outcomes. Strong analytical thinking, self-drive, and excellent communication and collaboration skills are essential.

Technical Skills Required:
Programming & Scripting: Python, Java, SQL, R
Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, Data modeling, ETL
Cloud & DevOps: AWS (S3, SageMaker),
Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks
Machine Learning and Deep Learning: Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, Tensorflow, OpenCV
GenAI/LLMs: Hands-on experience with generative AI tools and frameworks
Geospatial Tools: Experience with GIS platforms such as ArcGIS, QGIS, CARTO or geospatial libraries in Python

Bachelor s or Master s degree in computer science, Data Science, or related field.
3 5 years of experience in a hybrid technical/business analyst role.

Role:

  • Analyze business processes and translate requirements into technical/analytical specifications.
    Design and develop scripts, APIs, and automation tools to support advanced technical analysis.
    Build and maintain data pipelines in support of data analytics.
    Collaborate with stakeholders and data scientists to define problems, document solutions, and support implementation.
    Develop/improve reports and visualizations as needed to communicate insights and metrics.
    Ensure data quality and reliability in support of analytics and insights.
    Support Agile development processes including sprint planning, backlog grooming, and UAT.
    Prepare technical documentation and contribute to knowledge sharing across teams.
    Apply geospatial analysis techniques and tools to support location-based decision-making.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.