Top Analysis Reporting Jobs in Spokane, WA

Design and operate Alpaca’s scalable data platform on GCP, including lakehouse infrastructure, Kubernetes-based deployments, streaming and CDC pipelines, batch ingestion, BI access, cataloging, monitoring, and governance. Build infrastructure as code with Terraform and Ansible, operate distributed query engines and Apache Iceberg, maintain reliability practices, and collaborate with DevOps and analytics teams to support rapidly evolving data requirements.

Lead discovery and requirements gathering for credit union data and reporting initiatives. Map core banking and ancillary system data, define regulatory reporting logic and controls, specify executive dashboards, validate outputs, and drive adoption. Partner with credit union stakeholders and engineers to deliver data products addressing member growth, lending, deposits, risk, compliance, and marketing performance. Contribute domain expertise to reusable use cases, demonstrations, and prospect conversations.

Build production data pipelines, models, dashboards, BI reports, and metrics for EverHealth’s revenue cycle management operations. Partner with business, product, engineering, and professional services stakeholders to identify visibility gaps and deliver trusted insights quickly. Integrate healthcare, clearinghouse, operational, and AI-agent data; instrument automation outcomes; document definitions and lineage; and help shape the warehouse and BI stack while maintaining secure PHI handling and compliance.

The Data and Visual News Associate develops multimedia and data-driven journalism during a two-year newsroom rotation. Responsibilities include investigative reporting using OSINT, geolocation, satellite imagery and metadata; producing interactives, maps, charts and visual stories; analyzing audience data; experimenting with AI-powered reporting workflows; and collaborating with graphics, data and innovation teams. The role requires a technical portfolio, data analysis and visualization skills, digital evidence verification experience, and proficiency with Adobe Illustrator, HTML and CSS.

Design and operationalize governed enterprise data platforms, data products, data contracts, lakehouse systems, and streaming pipelines. Establish authoritative data sources across CRM, MDM, and ERP systems, lead CX transformation architecture, deliver production data models and pipelines, advise enterprise customers on modern data architectures, and productize validated internal and field innovations into scalable customer offerings.

Owns monthly sales crediting, inforce, financial, and industry reporting for Employee Benefits. Reviews and reconciles data, investigates discrepancies, maintains legacy reporting tools, supports audits and testing, summarizes results for stakeholders, and partners with actuarial, sales operations, underwriting, billing, and IT teams. The role also improves reporting processes, documents business rules, and supports data warehouse enhancements.

Performs descriptive and prescriptive analytics on healthcare transaction data, including data extraction, cleaning, feature creation, exploratory analysis, validation, dashboarding, and reporting. Translates business questions into analytic tasks, supports product discovery and MVP prototypes, profiles data sources, reviews ETL processes, and documents reproducible methodologies. Partners with engineering, product, analytics, and commercial teams while maintaining data privacy, governance, quality, and clear communication for technical and non-technical audiences.

Own and improve Life360’s Ads Data Engineering platform on Databricks. Build, operate, and optimize batch and streaming pipelines, Delta Lake tables, dbt models, semantic layers, and core metrics. Integrate advertising and business data, implement quality and governance controls, manage AWS infrastructure with Terraform, reduce compute costs, and mentor engineers. Partner with analysts, ad strategists, and sales teams to deliver trusted data products while developing AI-assisted engineering tools and workflows.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Analyze lifecycle marketing performance, develop measurement and attribution frameworks, optimize campaigns and customer journeys, and connect marketing activity to product and business outcomes. Partner with marketing, product, engineering, and data teams to improve analytics capabilities, use AI-powered techniques for predictive insights, and present recommendations to senior leadership.