Top Data & Analytics Jobs in Providence, RI

Build and maintain Quince's compensation data environment: integrate HR systems, automate benchmarking and AI workflows, support comp reviews and equity approvals, analyze pay trends, and partner with Talent, Finance, and Legal on global comp strategy.

Own and evolve the analytics platform: build and maintain dbt data models, govern semantic metrics in Lightdash, ensure data quality and observability, and partner with analysts and stakeholders to enable reliable self-service reporting.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Embedded with a single enterprise client to engineer and optimize large-scale data ingestion, design scalable analytical and operational data models, build/maintain cloud data warehouses, improve internal tooling and workflows, and act as a technical partner guiding strategic data decisions.

Build and maintain executive and project-level dashboards, standardize and cleanse source data, define reporting conventions and KPIs, perform data quality checks, coordinate with stakeholders, and apply AI/LLM tools to improve reporting workflows and efficiency.

Design, build, and optimize scalable ETL/ELT data pipelines into Snowflake using Azure Data Factory, Synapse, and ADLS. Migrate on-prem SQL Server processes to cloud, develop and tune SQL and stored procedures, implement monitoring and CI/CD, support production as part of Tier-3 on-call rotation, and collaborate with stakeholders to ensure data quality and governance.

Lead architecture and scaling of the Databricks data warehouse and self-service data platform. Build reusable batch and streaming frameworks, enforce governance, SLOs, lineage, observability, CI/CD, and multi-tenancy. Mentor engineers, run design reviews, and ship documented patterns to enable analytics, data science, and app teams to move quickly without blocking on platform tickets.

Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

Design and improve learning data reporting and dashboards in Cornerstone, integrate Cornerstone and Workday data, conduct user research and usability testing, create wireframes and prototypes, design accessible reporting interfaces, and collaborate with L&D, HR, product, and technical teams to optimize reporting and UX.