Top Remote Analysis Reporting Jobs in Baltimore, MD

Serves as the technical authority for Azure SQL architecture, deployment, security, performance, operations, and migrations supporting federal programs. Designs secure Azure Government database environments, leads on-premises SQL Server migrations, develops T-SQL and data models, builds Azure Data Factory pipelines, implements DevOps and infrastructure automation, troubleshoots incidents, optimizes costs, documents standards, and mentors team members. Collaborates with engineering, architecture, data, and DevOps teams on reliable data platforms.

Monitor prediction markets and perpetual futures by tracking news, trader sentiment, venues, volumes, open interest, funding rates, and market share. Research protocols and users, build dashboards and datasets, identify product opportunities for Pyth, size opportunities with market and on-chain data, and collaborate with product, engineering, and business development teams. Write research reports, present recommendations to leadership, and evaluate launched initiatives against their original theses.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Support Sales and Key Account teams by owning trade performance reporting, building dashboards, analysing promotional ROI, preparing category presentations for range reviews, and collaborating with Marketing, Supply Chain, and Finance to drive commercial decisions.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.

Analyzes marketing data to improve pipeline contribution, campaign performance, funnel conversion, attribution, and customer lifecycle outcomes. Builds Tableau dashboards, queries and validates datasets with SQL, supports segmentation and propensity models, monitors data governance across Salesforce and Marketo, and automates reporting and data-quality workflows. Partners with cross-functional stakeholders to define KPIs, communicate insights, and inform marketing investment decisions while applying responsible AI practices.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Builds and maintains reliable, scalable data pipelines for enterprise analytics. Responsibilities include data integration, transformation, profiling, quality monitoring, metadata management, SQL development, data mapping, ETL/ELT, testing, documentation, and performance optimization. Collaborates with analytics, warehousing, database, technology, and business teams in agile environments to deliver fault-tolerant solutions across legacy, cloud, web, and packaged data sources.