Top Remote Data & Analytics Jobs in Hartford, CT

Freelance analyst who examines complex spreadsheets, benchmarks, and research to identify trends, anomalies, and actionable insights; collaborates with writers, engineers, and strategists to translate data into persuasive marketing recommendations and deliver timely project outputs while working with minimal supervision.

Lead SAP data migration efforts: develop migration strategy and execution plans, manage data mapping, extraction, transformation, and loads using ETL tools (SAP Data Services). Run mock data loads and dashboards, conduct data mapping workshops, develop conversion documents and data catalogs, partner with business and technical teams, and report progress to leadership.

Support consulting projects with business and data analysis, prepare materials and reports, assist client communications and proprietary tools, research industry trends, and help with RFPs while learning multiple workstreams under project guidance.

Lead Imagine's global MEAL strategy, build high-performing country MEAL teams, ensure data governance and quality, develop dashboards and analyses, guide experimental design and reporting, translate insights for stakeholders, and strengthen organizational data literacy to improve program learning outcomes and operational effectiveness.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

The EHSS & Quality Senior Analyst leads data management for EHS, ESG, and Quality goals, ensuring compliance and driving continuous improvement initiatives. Responsibilities include data collection, analysis, and reporting, as well as the development of dashboards and automation processes.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

Lead strategic analytics and partner with senior leadership to drive growth, margin, and retention initiatives. Build interactive reporting (Python/Streamlit, BigQuery-connected Google Sheets), perform deep EDA in Jupyter, model and clean data with SQL and dbt, integrate secure AI-assisted tools and automation, ensure analytical quality, and translate insights into measurable business outcomes.

Perform fundraising analyses, manage and aggregate finance data from multiple platforms, validate fundraising models, build automated reporting and pipelines, design experiments (A/B tests), automate repetitive processes, and handle ad hoc data requests to optimize fundraising performance and operations across teams.