Data Analyst

Job Title: Technical Analyst-Data Science Location: Houston, TX (Hybrid) Schedule: Mon - Thurs Onsite, Friday Remote 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 & Scripting: Python, Java, SQL, R • Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, Data modeling, ETL • Cloud & DevOps: AWS (S3, SageMaker), • Tools & 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. Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.