Learning Technology & AI Solutions Consultant
About The Position
Position Overview 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. Key Responsibilities 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.
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.
- 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.
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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
