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

<p>Qualifications:</p><p>- Bachelor's or Master's degree in computer science Data Science or related field.</p><p>- 3-5 years of experience in a hybrid technical/business analyst role.</p><p><br></p><p>Technical Skills Required:</p><p>- Programming amp Scripting: Python Java SQL R</p><p>- Databases amp Analytics: Snowflake PostgreSQL MongoDB DataStax/Astra DB Data modeling ETL</p><p>- Cloud amp DevOps: AWS S3 SageMaker</p><p>- Tools amp Frameworks: Git Jira Confluence PyCharm Notebooks</p><p>- Machine Learning and Deep Learning: Pandas NumPy Scikit-Learn OpenCV PyTorch Tensorflow OpenCV</p><p>- GenAI/LLMs: Hands-on experience with generative AI tools and frameworks</p><p>- Geospatial Tools: Experience with GIS platforms such as ArcGIS QGIS CARTO or geospatial libraries in Python</p><p><br></p><p>Knowledge Skills and Abilities:</p><p>- Strong analytical and problem-solving skills.</p><p>- Ability to work with large-scale datasets and perform advanced data mining.</p><p>- Excellent communication and stakeholder engagement skills.</p><p>- Self-driven collaborative and customer-focused mindset.</p><p>- Experience in Agile environments and cross-functional teams.</p>

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