Digital Business Analyst

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.

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.

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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