Top Remote Analysis Reporting Jobs in Spokane, WA

Design and modify data solutions using Databricks and Palantir Foundry; build data models and reports from ERP and legacy-system datasets; define and execute tests; and translate stakeholder reporting needs into technical specifications. The role requires SQL, Python, PySpark, database architecture, cloud architecture, software engineering practices, independent execution, documentation, and collaboration. It supports an Army client in a hybrid Arlington, Virginia environment and requires an active Secret clearance.

Leads the sales and partnerships insights function supporting sponsorship, ticketing, premium sales, and revenue decisions. Builds analytics standards, reporting, forecasting, pricing, pipeline, renewal, and performance measurement capabilities across decentralized properties. Recruits and manages an analytics team, partners with enterprise data and CRM teams, deploys models and AI-enabled tools, and advises executives, venue leaders, and clients on commercial strategy and outcomes.

Build governed, reusable Data 360 products and scalable transformation pipelines using SQL, Python, dbt, and Snowflake. Establish dimensional models, semantic layers, trusted metrics, data quality controls, lineage, and governance for clinical, laboratory, operational, and commercial data. Ensure PHI and genomic data compliance while integrating AI-native engineering practices. Collaborate with cross-functional stakeholders, lead architecture decisions, validate data products, resolve complex data issues, and mentor engineers.

Establishes data quality, freshness, coverage, and delivery baselines across multiple brands; connects data gaps to commercial impact; identifies automation opportunities; defines SLAs; documents data standards, source specifications, governance policies, and requirements; and delivers executive-ready insights. The role partners with Data Operations, Sales, Customer Success, Product, and Engineering to improve data quality, automate workflows, manage governance, and track business outcomes.

Build, operate, and improve Tala’s production data synchronization and change data capture pipelines across global markets. Deliver reliable, low-latency data to Snowflake using AWS, Kafka, Spark Structured Streaming, and lakehouse technologies. Improve scalability, performance, cost efficiency, data quality, monitoring, testing, CI/CD, and infrastructure as code. Troubleshoot incidents, lead root-cause analyses, document operational practices, contribute to architecture decisions, and collaborate with data, analytics, product, credit, and business teams.

Designs, builds, and optimizes enterprise data pipelines, warehouses, lakes, semantic models, and ETL/ELT solutions. Develops SQL and Power BI solutions, leads data modeling, ensures data quality and governance, resolves performance issues, and contributes to data architecture. Collaborates with HR stakeholders, analysts, data scientists, and technology teams to deliver scalable analytics and reporting platforms.

Build and maintain dbt SQL models, data pipelines, curated datasets, reports, and dashboards supporting state partners, customers, Finance, Operations, and executives. Own external and internal Metabase environments, support the data warehouse, and establish consistent metric definitions across technical and non-technical teams. The role also requires analytics support, stakeholder communication, and experience with Airflow, Python, and Git-based workflows.

Analyzes site performance data, identifies KPI root causes, synthesizes field feedback, and develops actionable recommendations for a multi-year SAP S/4HANA transformation. The role prepares executive reporting for Steering Committee, sponsor, and stage-gate reviews; tracks value realization; designs reporting templates, data models, and recurring tracking mechanisms; and supports leadership decision-making. It partners with field and business stakeholders and may guide analysts without formal supervisory responsibility.

Leads the enterprise business intelligence and analytics strategy, manages BI and data analysts, and oversees analytics roadmaps, projects, platforms, dashboards, and vendor relationships. Translates complex data into actionable financial and business insights, supports SAP and Power BI platform upgrades, manages delivery timelines and resources, and coaches team members. The role also drives stakeholder engagement, continuous improvement, talent development, and data-driven decision-making across the organization.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.