Overview
Job Title : Technical Analyst-Data Science
Location : Houston, TX (Hybrid)
Position Summary : 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.
Responsibilities
- 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.
Qualifications
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.
Technical Skills Required
Programming & Scripting : Python, Java, SQL, RDatabases & Analytics : Snowflake, PostgreSQL, MongoDB, DataStax / Astra DB, Data modeling, ETLCloud & DevOps : AWS (S3, SageMaker)Tools & Frameworks : Git, Jira, Confluence, PyCharm, NotebooksMachine Learning and Deep Learning : Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, TensorflowGenAI / LLMs : Hands-on experience with generative AI tools and frameworksGeospatial Tools : Experience with GIS platforms such as ArcGIS, QGIS, CARTO or geospatial libraries in PythonKnowledge, Skills and Abilities
Strong analytical and problem-solving skills.Ability to work with large-scale datasets and perform advanced data mining.Excellent communication and stakeholder engagement skills.Self-driven, collaborative, and customer-focused mindset.Experience in Agile environments and cross-functional teams.J-18808-Ljbffr