Top Data & Analytics Jobs

Supports sales analytics, pipeline forecasting, KPI reporting, dashboards, and CRM data quality. Provides functional support for Salesforce, LIMS, ELN, and other business applications; gathers requirements, supports end users and training, participates in UAT and validation, and coordinates system improvements across sales, laboratory, operations, and IT teams.

Design, build, and operate large-scale Hadoop-based data platforms and pipelines. Ingest, transform, and analyze structured and unstructured data for analytics, machine learning, and reporting. Develop reliable production systems using Spark, Hive, HDFS, streaming platforms, orchestration tools, SQL, and relational or NoSQL databases. Troubleshoot distributed systems and support performance, fault tolerance, documentation, and cost efficiency. Preferred experience includes cloud Hadoop platforms, lakehouse formats, data governance, Kubernetes, CI/CD, and infrastructure as code.

Lead the target-state architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption. Define data modeling, security, lifecycle, streaming, lakehouse, warehouse, disaster recovery, and cost-optimization standards. Guide architecture reviews, integrate governance and catalog tools, partner with ML, BI, product, and engineering teams, and mentor data engineers and architects while producing architecture artifacts and reference patterns.

Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, security, and consumption. Establish data modeling and lifecycle standards, architect lakehouse and streaming solutions, guide platform integrations, and ensure scalability, reliability, cost efficiency, and disaster recovery. Partner with engineering, ML, BI, product, and business teams; lead architecture reviews, mentor technical staff, and develop architecture documentation and reference patterns.

Develop and maintain ETL data pipelines, scalable data infrastructure, Salesforce integrations, reports, dashboards, and analytical solutions. Apply data governance, modeling, schema design, performance monitoring, and issue resolution. Collaborate with stakeholders to define data requirements, recommend Salesforce enhancements and automation, and deliver reporting and analytics initiatives.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services. Requires strong data engineering expertise and experience supporting financial services organizations, with knowledge of asset management and financial markets.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services including Lambda, Step Functions, and ECS. Requires strong data engineering expertise and practical experience building modern platforms within financial services, with knowledge of asset management and financial markets.

Designs, builds, and maintains the ASPCA’s enterprise data warehouse ecosystem. The role develops dbt Core models across medallion architecture, integrates MDM workflows, builds and operates Microsoft Fabric and Azure Data Factory pipelines, and supports Snowflake environments. Responsibilities include dimensional modeling, orchestration, monitoring, testing, troubleshooting, performance optimization, documentation, CI/CD, data governance, and quality assurance. The engineer collaborates with BI, data management, strategy, and research teams to deliver trusted, analytics-ready datasets.

Designs, builds, and optimizes enterprise data pipelines, warehouses, lakes, semantic models, and ETL/ELT solutions. Develops SQL and Power BI solutions, leads data modeling, ensures data quality and governance, resolves performance issues, and contributes to data architecture. Collaborates with HR stakeholders, analysts, data scientists, and technology teams to deliver scalable analytics and reporting platforms.

Analyze property and casualty insurance products, coverages, policy data, and statistical reporting requirements. Guide customers, provide training, collaborate with Product, Actuarial, Regulatory, and technical teams, and support data capture and management initiatives. Perform requirements gathering, impact analysis, data preparation, process improvement, and development of enhanced data capabilities. Ensure accurate, timely reporting and contribute to ISO’s industry-wide statistical data standards and analytics strategy.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

Leads the Life & Retirement analytical engineering function, including strategy, team development, data architecture, governed data products, semantic models, portfolio delivery, and enterprise data warehouse initiatives. Establishes engineering standards for quality, governance, reliability, automation, and CI/CD while partnering with business and technology leaders to deliver scalable cloud data solutions and measurable business outcomes.

Lead development and data engineering for Connecticut’s child welfare information systems. Responsibilities include .NET application support, database architecture, complex T-SQL development, Tableau and SSRS reporting, SSIS/Talend ETL, data migration and integration, legacy-system conversion, data quality validation, performance optimization, testing, documentation, and collaboration with business analysts and system integrators throughout the SDLC.