Job Description
Job Description
Job Description: Technical Analyst – Data Science
We are seeking a highly analytical and technically skilled Technical Analyst – Data Science to support business needs through data analysis, solution development, and collaboration with cross-functional teams. This role blends technical expertise with business acumen to deliver impactful insights and scalable data solutions.
WKey Responsibilities:
- Analyze business processes and translate requirements into technical specifications
- Design and develop scripts, APIs, and automation tools for advanced analytics
- Build and maintain data pipelines to support data science initiatives
- Collaborate with stakeholders and data scientists to define problems and implement solutions
- Develop reports and visualizations to communicate insights and metrics
- Ensure data quality and reliability across analytics workflows
- Support Agile development processes including sprint planning and UAT
- Document technical approaches and contribute to team knowledge sharing
- Apply geospatial analysis techniques to support location-based decision-making
Required 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
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder engagement abilities
- Experience working with large-scale datasets and Agile teams
Technical Skills:
- Programming & Scripting: Python, Java, SQL, R
- Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, ETL, Data Modeling
- Cloud & DevOps: AWS (S3, SageMaker)
- Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks
- Machine Learning & Deep Learning: Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, TensorFlow
- GenAI/LLMs: Hands-on experience with generative AI tools and frameworks
- Geospatial Tools: ArcGIS, QGIS, CARTO, or Python geospatial libraries