Top Analysis Reporting Jobs in Hartford, CT

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

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.

Leads actuarial and analytics initiatives across insurance product lines, applying actuarial, statistical, pricing, reserving, forecasting, and quantitative analysis techniques. Drives data, tool, and process modernization; translates business needs into analytical solutions; provides strategic recommendations; and communicates findings to senior stakeholders. Manages a small team, mentors talent, collaborates across business units, and supports enterprise initiatives and continuous improvement.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Designs and implements enterprise-scale data platforms in Microsoft Azure. Partners with stakeholders to translate complex requirements into scalable architectures, develops prototypes, and remains hands-on through production deployment. Uses Databricks, ADLS, ADF, Fabric or Synapse, Python, PySpark, and SQL to build lakehouse, batch, streaming, integration, and analytics solutions. Establishes data models, governance, security, lineage, quality, observability, and performance standards while providing technical leadership to engineering teams.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Develops business intelligence and analytical solutions for the CPM organization. Responsibilities include consolidating data from disparate sources, writing SQL queries, creating tools, developing and supporting Power BI dashboards, gathering stakeholder requirements, preparing management reports, supporting regulatory filings, and producing KPI reports.

Performs institutional data analysis, statistical reporting, program assessment, and research to support university planning and accountability. Develops and maintains statistical programs, data archives, web-based collection and reporting mechanisms, and administrative report-writing tools. Conducts quantitative and qualitative analyses, prepares institutional studies, supports strategic planning and enrollment management, and communicates findings to faculty and staff while maintaining data integrity and confidentiality.

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.

Designs, builds, and operates large-scale Hadoop data pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing structured and unstructured data using Spark and related technologies; supporting analytics, machine learning, and reporting workloads; implementing streaming and workflow orchestration solutions; and ensuring production systems are reliable, performant, fault-tolerant, and cost-effective.