Top Hybrid Data & Analytics Jobs in Boston, MA

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Build and support Databricks Lakehouse pipelines, curated datasets, and analytics-ready data models using Spark, Delta Lake, Python, and SQL. Integrate Databricks with SQL Server, SaaS, and enterprise systems; implement data quality, governance, security, and monitoring practices; optimize Spark workloads; and support CI/CD and platform administration. Collaborate with analysts, data scientists, stakeholders, and Data Enterprise teams to modernize legacy data processes and deliver reliable production data products.

Analytics Intern will analyze high-volume data, build experiments and automated dashboards, measure product and campaign impact, and communicate actionable insights to stakeholders. The role partners cross-functionally to support data-driven product and customer decisions during a 10-week summer program.

Establishes enterprise data architecture, standards, models, governance, security, and roadmap across AWS platforms. Designs data lakes, warehouses, integrations, APIs, streaming systems, and operational data products while guiding database scalability, privacy, quality, lineage, and observability. Partners with engineering, analytics, product, security, and business teams, evaluates AWS technologies, oversees architecture through production, and coaches technical teams.

Design and lead scalable data architecture and AI pipelines that transform disparate and unstructured data into production-ready organizational intelligence. Build batch and streaming integrations with Snowflake, optimize databases through sharding, replication, indexing, and normalization, and support relational, vector, graph, and document data models. Collaborate with data scientists and analysts, develop enabling frameworks, document architecture, and guide production-ready AI infrastructure across AWS and enterprise platforms.

Build and oversee reliable ETL/ELT pipelines and data products that transform complex customer data into trusted analyses, visualizations, quality reports, and AI-powered insights. Responsibilities include data exploration, quality control, anomaly detection, AI/ML output evaluation, customer collaboration, documentation, and improving data-cleaning and analytics tools. The role requires cross-functional work in an Agile environment focused on security, data integrity, and clear communication.

Leads workforce planning analytics, forecasting, executive reporting, conversational self-service analytics, applied research, and AI transformation measurement. Builds automated reporting and analytical products using Python or R, SQL, and AI tools; develops governed semantic models and data products; monitors organizational design and data quality; and advises senior leaders on workforce and investment decisions.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

The Sr. Director of Biostatistics will lead statistical support for clinical studies, oversee biostatistics teams, and ensure statistical integrity in analyses and reports.