Top Remote Analysis Reporting Jobs in Portland, ME

Analyze product funnels and user behavior to identify growth opportunities, improve customer and business outcomes, and guide product decisions. Partner with product, design, engineering, and analytics teams to track hypotheses, report key metrics, reconcile data discrepancies, maintain analytics and experimentation catalogs, and communicate actionable insights. The role requires strong SQL, visualization, experimentation, and cross-functional communication skills in a fintech or e-commerce environment.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

The Senior Data Analyst partners with business teams to define performance metrics, build and maintain self-service Hex dashboards, conduct exploratory analyses, and deliver actionable recommendations. The role coordinates with Engineering, Product, and Data teams to ensure reliable reporting data and contributes to dbt models. It also requires stakeholder communication, strategic insight generation, and translating technical findings for nontechnical audiences.

Develop and support a scalable business intelligence and reporting platform using ClickHouse, Python ETL/ELT pipelines, advanced SQL, dimensional models, and reporting marts. Integrate data from Elasticsearch, SQL Server, APIs, and files; optimize analytical queries; build dashboards and reporting experiences; collaborate with business stakeholders; and develop AI-enabled features for natural-language querying, insights, anomaly investigation, and automated reporting intelligence.

Complete and document real-world Google Analytics workflows involving reports, traffic, users, events, conversions, audience insights, and engagement metrics. Record screen demonstrations, create prompts and rubrics, explain workflow steps, review outputs for accuracy, and follow project quality standards independently in a remote contract environment.

Create realistic business scenarios using Excel, PowerPoint, and Word; interact with LLMs; review and compare AI-generated Office documents; and provide detailed feedback on accuracy, quality, and business relevance. The role requires strong analytical, communication, and document-review skills, with expertise in complex business models, reports, analyses, and presentations.

Designs and implements Snowflake ETL/ELT pipelines, data models, schemas, and transformations. Partners with stakeholders to define reporting and extract requirements, documents data flows, validates data quality across multiple systems, and supports Power BI datasets, semantic models, and dashboards. Troubleshoots end-to-end data issues, develops implementation plans, participates in testing and code reviews, and provides production support and technical recommendations.

Implement and maintain Informatica data governance solutions, including metadata management, data quality, lineage, and stewardship workflows. Develop automated ingestion, transformation, and validation processes; integrate Snowflake with Informatica and cloud platforms; monitor pipeline reliability; document governance standards; support reporting; troubleshoot data issues; and provide technical guidance to business and technical teams.

Analyze data and build analytical datasets, data models, dashboards, reports, and visualizations using Databricks, SQL, Python, and BI tools. Translate business requirements into reporting solutions, validate data quality, identify insights, document analytical logic, and support governance, security, lineage, and compliance. Collaborate with engineers, data scientists, architects, clients, and other stakeholders to deliver accurate, secure, and well-documented analytics solutions.

Build, test, and maintain batch and event-driven data pipelines and ETL/ELT workflows. Transform and validate large datasets, troubleshoot data-quality issues, improve workflow reliability, and support platform modernization. Collaborate with engineering, product, and data stakeholders while following strong practices for version control, testing, monitoring, documentation, and code review. The role may occasionally require work outside standard business hours.

Design and implement attribution, source tracking, CRM integrations, ROI measurement, funnel reporting, and sales performance systems for B2B clients. Consult with revenue leaders, define metrics, build and validate reporting across marketing, sales, CRM, advertising, and BI platforms, troubleshoot data quality issues, document solutions, and train client teams. Contribute to implementation methodologies, technical content, automation, and AI-enabled data validation and analysis.

Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.