Top Analytics Jobs in Hartford, CT

The Senior Analyst role focuses on developing data models, dashboards, and reports while utilizing business intelligence tools to enhance operational efficiency and business performance analysis.

The Senior Quantitative Analytics Associate leverages statistical and mathematical techniques to validate models and provide predictive analysis for business needs, mentoring junior staff and delivering insights based on data analysis.

The role involves developing and optimizing Power BI solutions, managing data models, conducting customer discovery meetings, and guiding clients on deployment using Microsoft Azure services. Requires strong technical and interpersonal skills.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

The Quant Analytics Lead Associate develops and validates predictive models using statistics and machine learning techniques, conducts quantitative analyses, and communicates insights to stakeholders.

The Actuary analyzes financial data to forecast performance, ensures data integrity, advises on strategies, and supports business intelligence needs.

Manage and mentor a team of analysts and data scientists, develop analytics strategies, own analytics projects, and promote data-driven culture.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

The People Analytics Partner collaborates with HR and business leaders to provide data-driven insights and recommendations for talent decisions and survey strategies.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Data Analytics Associate will analyze healthcare data, manage research projects, and support customer engagements using analytics tools to drive insights.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The Staff, Advanced Analytics role involves driving data-driven decisions through analysis, statistical modeling, and metrics development to improve the customer journey at Airbnb.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

Lead the analytics strategy and execution, manage a high-performing team, and drive insights for decision-making across the company.

The Sr. Director will lead healthcare analytics and employer decision-making solutions, manage client delivery teams, and ensure engagement and profitability targets are exceeded.

The Data Analytics Lead will manage a team of analysts, oversee analytics projects, drive BI tool adoption, and ensure delivery of actionable insights using a modern data stack.

Manage digital analytics focusing on product performance, define KPIs, and collaborate with teams to enhance customer experiences. Manage analysts and create dashboards for monitoring.

As a Senior Analyst for the Customer Data Platform, you will ensure accurate and actionable customer data, develop audience segments, and optimize journeys while collaborating with technical and business teams.

The Senior Consultant will drive performance analytics strategy, leveraging data insights to support strategic initiatives for Middle and Large Business Insurance, enhancing revenue and profitability.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.