Top Analysis Reporting Jobs in Spokane, WA

Build and maintain recurring sales and partner performance reporting, dashboards, scorecards, and forecast analyses. Identify trends, variances, risks, opportunities, and data-quality issues across pipeline, bookings, territories, accounts, and partner activity. Document KPI logic, assumptions, and data lineage while translating business requirements into reliable analytical products. Provide fact-based insights, scenario modeling, executive exhibits, and decision support without owning business commitments or cross-functional program accountability.

Analyzes pharmacy and medical data by creating complex queries, reports, visualizations, KPIs, and management presentations. Interprets findings, recommends improvements, supports cross-functional projects, documents reporting processes, and trains junior analysts. The role requires extracting data from warehouses using advanced SQL or SAS, synthesizing multiple data sources, and communicating insights in a healthcare environment.

Build and maintain production data ingestion, transformation, and pipeline code for a governed federal data and AI platform. Develop data products, support data science and ML teams, monitor quality and reliability, troubleshoot issues, and contribute to Terraform infrastructure and CI/CD workflows. Apply data governance, cataloging, access controls, and compliance practices within FedRAMP Moderate, NIST 800-171, and CUI environments. Collaborate with engineers and document pipelines and processes.

Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kit’s sales data domain.

Build and maintain Power BI reports, dashboards, semantic models, and operational analyses for warehouse and eCommerce operations. Use DAX, Power Query, SQL, and data modeling to analyze productivity, labor, capacity, service, and performance drivers. Establish KPI definitions, validate data quality, automate reporting, monitor refreshes, and translate findings into recommendations. Partner with Operations, Finance, IT, and Data Engineering, document reporting processes, train users, and support business reviews.

Build and operate cloud data capabilities, including ingestion pipelines, transformations, data models, curated data products, and data-quality controls. Use Snowflake, dbt, SQL, and Python to deliver governed data for analytics, applications, automation, and AI workflows. Implement testing, CI/CD, documentation, lineage, access controls, monitoring, incident resolution, and performance optimization. Collaborate with engineering, analytics, governance, security, and business teams in an Agile, product-oriented environment with active AI-assisted development.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Own the architecture, technical direction, reliability, and evolution of a shared cloud data platform. Lead hands-on development of streaming and batch pipelines using infrastructure-as-code, build governed analytical data products, and establish data contracts, quality, security, lineage, and observability standards. Serve as the final technical escalation point, mentor engineers, lead design and code reviews, promote responsible AI-assisted coding, respond to incidents, and communicate technical tradeoffs across stakeholders.

Build and maintain scalable data solutions in Palantir Foundry, including ontologies, data objects, pipelines, workflows, analytics, and AI/ML integrations. Translate stakeholder requirements into enterprise data and analytics solutions, manage schemas and governance, troubleshoot platform issues, document processes, and provide user training and support. The role supports FAA data modernization, platform adoption, and continuous improvement of Foundry applications and data models.