Top Data & Analytics Jobs

Collects, processes, vets, and analyzes geospatial and statistical data using Esri tools, Power BI, Python, or R. Supports research projects, client meetings, reports, presentations, dashboards, technical assistance, and proposal development. Works on focused project tasks under supervision while communicating findings clearly and maintaining project information and spending records. The role is hybrid in Houston and includes travel to client sites.

Leads the People data ecosystem, including Snowflake workforce data models, pipelines, governance, metric certification, and data quality. Develops scalable workforce analytics products using Visier and Snowflake, enables governed AI-driven insights, replaces manual reporting with self-service solutions, and manages a high-performing team of data and analytics professionals.

Analyze, clean, validate, and reconcile data to produce dashboards, reports, metrics, SQL queries, analytical datasets, and business insights. Partner with stakeholders to define requirements, investigate trends and anomalies, validate data models and workflows, improve data quality, and establish scalable analytics standards and documentation.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, segmentation, and LTV analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and deliver actionable recommendations. Requires strong SQL and Python skills, causal measurement expertise, marketing platform experience, and the ability to communicate insights to senior stakeholders.

Leads site data, integration, and systems capabilities within a regulated manufacturing environment. Owns data strategy, governance, standards, system integrations, historians, data platforms, application lifecycle management, and AI enablement. Ensures compliant, reliable, contextualized manufacturing data while maintaining validation and inspection readiness. Manages the data enablement roadmap, resolves data quality and connectivity issues, supports analytics and AI deployments, and leads technical teams, contractors, and cross-functional stakeholders.

Build and maintain scalable data pipelines supporting reporting, analytics, and AI/ML use cases. Write production Python and SQL code, integrate data from APIs and other sources, establish data governance, implement quality monitoring and alerting, support production incidents, and document technical solutions. Collaborate with data scientists, engineers, and business partners to deliver reliable data infrastructure and insights.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and ETL/ELT workflows. Build trusted data products for analytics, automation, and AI agents; translate ambiguous business needs into scalable solutions; lead cross-team initiatives; ensure reliability and data quality; mentor engineers and analysts; and develop, evaluate, and monitor production LLM and agent systems using Python and SQL.

Leads the acquisition, integration, modeling, and development of data analytics products. Designs data lake and warehouse solutions, builds ETL pipelines, applies engineering and CI/CD practices, supports analytics and machine learning applications, and ensures data quality and regulatory compliance. Collaborates with technical and business stakeholders, contributes to agile delivery, leads code reviews, mentors junior engineers, and develops enterprise data flows that establish a reliable source of truth.

Leads the Federal Reserve Bank of Boston’s Data & Analytics department, setting strategy, architecture, governance, and multi-year technical roadmaps. Oversees self-service analytics, data infrastructure, pipelines, curated datasets, visualizations, and decision-support tools. Builds stakeholder partnerships, ensures responsible AI use, manages operational risks and controls, and develops a high-performing multidisciplinary team. Represents the function to executive leadership and collaborates across the Federal Reserve System.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.