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Description

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.

Duties and 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.

Requirements

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 amp Scripting: Python Java SQL R

- Databases amp Analytics: Snowflake PostgreSQL MongoDB DataStax/Astra DB Data modeling ETL

- Cloud amp DevOps: AWS S3 SageMaker

- Tools amp 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

Knowledge 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.

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