Top Remote Analysis Reporting Jobs in Portland, ME

The Senior Data Engineer will design and manage data pipelines, work with complex datasets, and collaborate with teams to enhance data product integrity and effectiveness.

Develop and advise on an upper-division course about applying data systems and investigative technologies to environmental and wildlife crime investigations. Translate professional investigative workflows into student-facing materials, design applied OSINT and records-research assignments, integrate multiple data streams, ensure legal/ethical compliance, and collaborate with academic and design teams to produce accessible online coursework.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The Senior Pricing Analyst drives operational excellence by identifying technical gaps, implementing automated solutions, ensuring compliance, and leading cross-functional initiatives to enhance pricing networks and client satisfaction.

The Business Systems Analyst will manage IDEXX's enterprise data catalog, assist with user onboarding, develop user stories, and promote data governance initiatives, ensuring data quality and compliance across the organization.

Perform accurate and timely data entry, typing, and proofreading; organize and categorize records; collaborate with remote team members to ensure data accuracy and follow company data-management procedures.

Lead and mentor a team of data analysts while remaining hands-on with SQL and BI tools. Partner with business leaders to translate goals into data requirements, deliver high-impact analyses and presentations, and recommend operational changes across marketing, call center, and clinical operations.

Prepare and map legacy tax data for migration into TaxSys: reverse-engineer source data, write conversion specs, QA developer outputs, communicate with clients and project teams, and support go-live. Track down and remediate bad data, lead small projects, and assist client verification and training.

Build and support high-performance data solutions, design and operate ETL pipelines and data warehouses, monitor production analytics tools, troubleshoot system issues, collaborate with product teams, and support TechOps for analytics infrastructure.

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead measurement strategy for paid and performance marketing, design and interpret A/B and lift tests, run incrementality and attribution analyses, and optimize channel budgets. Build business cases, develop dashboards and BI workflows, evaluate AI-enabled analytics tooling, and enable self-serve analytics. Partner cross-functionally and present insights to leadership to drive experimentation, growth, and LTV outcomes.