IT Technical Analyst

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.

• Develop and implement data pipelines, automation, and analytical solutions.

• Work with large, complex datasets (spatial, temporal, structured, and unstructured).

• Support data scientists and business stakeholders by building the infrastructure and tools needed for analytics and machine learning.

• Business Analysis: Gather requirements, analyze processes, and document solutions.

• Development: Write scripts, build APIs, create automation tools.

• Data Engineering: Maintain pipelines, ensure data quality, and enable analytics.

• Collaboration: Partner with data scientists and business users to deliver insights.

• Visualization: Develop dashboards and reports to communicate findings.

• Geospatial Analytics: Apply GIS tools for location-based insights.

• Agile Participation: Contribute to sprint planning, backlog grooming, and testing.

• Documentation & Knowledge Sharing: Ensure best practices are captured and shared.

• 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.

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

• 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.