Top Senior Analysis Reporting Jobs in Hartford, CT

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Business Analyst connecting U.S. insurance clients, internal teams, and technology partners. Responsibilities include gathering requirements, documenting processes and integrations, supporting AI and automation initiatives, testing solutions, coordinating implementation activities, and participating in Agile ceremonies, UAT, releases, and deployments. The role requires strong Property & Casualty insurance expertise, systems integration knowledge, API and data-mapping skills, and the ability to translate business needs into technical requirements.

Leads Alteryx’s product telemetry and analytics function, including instrumentation, semantic-layer governance, self-service analytics, intake prioritization, capacity planning, and executive communication. Manages a team in India, develops talent, improves data adoption and trust, and partners with technical and business leaders to sequence platform work. The role requires expertise in product analytics, data architecture, analytics operating models, metric governance, and stakeholder enablement.

Build, deploy, and operationalize data pipelines and solutions supporting AI, machine learning, and business intelligence. Responsibilities include data transformation, cleansing, governance, security, quality management, source analysis, testing, incident resolution, and defect remediation. The role collaborates across teams, supports data products, educates users, and applies software engineering and DevOps practices to deliver reliable analytical data solutions.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, payment support, and evaluation of new program opportunities. Develops monthly and ad hoc reports using Excel and Azure Synapse Analytics, interprets complex healthcare and insurance data, and communicates findings to senior leadership. The role also supports program implementation, maintenance, process improvement, and provider relationships.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.