Top Remote Analysis Reporting Jobs in Providence, RI

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

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.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

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.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Leads Citizens’ enterprise semantic analytics strategy and AtScale-based semantic layer operating model. Establishes governed, auditable processes for requirements, metric definitions, modeling, validation, certification, deployment, and change management. Oversees BI platform strategy across Power BI, Tableau, Alteryx, and WebFOCUS, while driving natural language query capabilities, business adoption, partner delivery, executive governance, and distributed team leadership.

Analyzes branch, regional, and national performance data to identify trends, root causes, and opportunities that improve sales effectiveness, conversion, product penetration, and productivity. Develops dashboards, executive reporting, KPIs, and data stories; evaluates initiatives and campaigns; ensures data integrity; and partners with sales, product, field execution, and analytics teams to deliver actionable recommendations and support business decisions.

Build and manage HR data pipelines, ETL/ELT processes, data warehouse models, and analytics workflows across cloud platforms. Ensure data quality, governance, security, and availability for People Analytics and HR stakeholders. Lead and mentor data engineers, collaborate with business and IT teams, and support reporting and analysis using tools such as Python, R, and business intelligence platforms.