Top Remote Analysis Reporting Jobs in Portland, ME

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.

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.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Leads Novotech’s global Voice of Customer and customer experience insights capability. Designs CX measurement frameworks, manages survey platforms, integrates customer and operational data, and develops dashboards and executive reporting. Identifies trends, drivers, risks, and improvement opportunities, translating complex quantitative and qualitative analysis into actionable recommendations. Partners with commercial, operational, quality, and customer-facing teams to drive retention and service improvements while establishing global governance, standards, and capability roadmaps.

Analyzes healthcare datasets, including claims, pharmacy, utilization, and cost data, to develop reports, dashboards, forecasts, and actionable insights. Builds and maintains SQL-based reporting and data processes, validates data quality, supports regulatory reporting, and identifies automation and process improvements. Partners with stakeholders to define requirements, presents recommendations, supports projects and audits, and provides guidance to other analysts.

Evaluate AI-generated responses using a personal Gmail account and email history in English and Korean. Assess relevance, accuracy, helpfulness, personalization, and unsupported assumptions; compare responses and provide detailed feedback. Maintain privacy and confidentiality while working independently remotely. Requires a mixed-language inbox, approximately 1,000+ emails, reliable computer and internet access, at least four hours daily availability, and four hours of PST overlap for a 16-week contract.

Reviews and annotates Japanese-language text and images to help train AI systems. Responsibilities include drawing bounding boxes, answering structured questions, writing short summaries, and following annotation guidelines. This is a fully remote, long-term role requiring native or fluent Japanese, strong reading comprehension, basic computer skills, attention to detail, and reliable adherence to instructions. No prior experience is required; training and a language assessment are provided.

Evaluate AI-generated responses for relevance, accuracy, helpfulness, and personalization using a professional Google Workspace account and business email history. Compare responses, identify unsupported assumptions or personalization issues, provide detailed feedback, follow evaluation guidelines, and maintain confidentiality. Requires native German proficiency, an established business Gmail inbox, analytical attention to detail, independent remote work, and availability of up to 40 hours weekly with PST overlap.

Designs, develops, tests, and maintains scalable public health data pipelines, enterprise data marts, and cloud-based informatics systems. Uses Databricks, SQL, Python, PySpark, and related technologies to integrate, transform, curate, and govern multisource data. Performs data quality assurance, monitoring, troubleshooting, documentation, and dashboard development while collaborating with clinical, technical, public health, and external partners to improve interoperability, surveillance systems, and data-driven decision-making.

Develop and maintain scalable data pipelines, ETL/ELT processes, APIs, data models, and analytics datasets using Python, SQL, Spark, and Databricks. Integrate sensitive federal health, financial, and operational data while implementing validation, governance, testing, documentation, and performance optimization. Collaborate with engineers, architects, analysts, and stakeholders to deliver reliable data products and resolve technical data needs.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.