Top Data & Analytics Jobs in Hartford, CT

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Build and govern analytical datasets, data mappings, KPI definitions, semantic models, and reporting solutions. Analyze and validate complex data using SQL and Python, including XML and JSON processing. Support Azure and legacy Informatica platforms, data pipelines, migrations, governance, lineage, monitoring, and quality reconciliation. Collaborate with stakeholders, architects, product owners, and engineering teams to deliver scalable cloud-based analytics solutions and communicate technical concepts clearly.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Leads integrated project, programme, and portfolio reporting across a complex infrastructure environment. Develops reporting frameworks, governance standards, dashboards, executive summaries, and performance insights using project controls data. Partners with senior stakeholders, Programme Controls, Digital, and project teams to improve data quality, automate reporting, support governance, and enable evidence-based decision-making. Provides reporting best-practice guidance and drives continuous improvement across the Project Delivery Directorate.

Supports actuarial data workflows by updating and testing SQL queries, comparing legacy and updated results, performing data quality checks, and documenting data sources and business rules. Partners with actuaries, data scientists, and other data professionals on process improvements while developing technical and communication skills through mentorship.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Leads data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Analyze digital, email, direct mail, and lifecycle marketing performance; evaluate leads, conversions, customer segments, retention, and cross-sell opportunities; support A/B testing, attribution, forecasting, and budget allocation. Translate campaign data into actionable recommendations, improve reporting consistency, and partner cross-functionally to optimize acquisition and customer engagement using analytics and AI-enabled tools.