Top Data & Analytics Jobs in Spokane, WA

Administer AWS-hosted PostgreSQL databases, managing monitoring, backups, restores, snapshots, security, maintenance, and performance tuning. Support database migrations, releases, troubleshooting, and data quality remediation. Build Python and SQL data pipelines, automation, CDC and streaming workflows using AWS services and Kafka technologies. Enable near-real-time data movement to reporting platforms, data lakes, Snowflake, and Databricks while collaborating with application, DevOps, QA, analytics, and business teams.

Designs, implements, maintains, and evaluates environmental databases for CMS Unified Case Management. Builds and maintains ETL pipelines using AWS, Snowflake, and PostgreSQL; implements automated data validation; automates reporting pipelines; creates dashboards, tables, plots, maps, and documentation. Performs data analysis, develops recommendations, follows project specifications, and presents findings to stakeholders while applying Agile practices.

Develops cloud-based business intelligence and reporting solutions using AWS, Spark, Power BI, and SAP BusinessObjects. Builds data pipelines and workflows integrating multiple sources, retrieves data from S3 and PostgreSQL, and supports enterprise analytics. Responsibilities include ETL, data warehousing, performance tuning, big data processing, AWS IAM, BI optimization, data visualization, and stakeholder presentations. The role also requires strong problem-solving, communication, Agile experience, and collaboration supporting CMS systems.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Analyzes logistics performance metrics, develops dashboards and reports, identifies trends and bottlenecks, and provides actionable insights to improve delivery performance and operational efficiency across the supply chain.

Designs, develops, and maintains scalable distributed data pipelines and ETL workflows. Ensures data quality, integrity, security, privacy, and availability; optimizes data processing performance; monitors production systems; diagnoses root causes; documents architectures and procedures; and provides rotational on-call support for critical data systems.

Leads advanced analytics, business intelligence, reporting automation, dashboards, forecasting, data governance, and performance insights. Partners with executives, clients, data engineering teams, and stakeholders to translate complex data into strategic recommendations, improve business performance, and support decision-making. Oversees analytical projects, reporting standardization, data quality, technology improvements, and analyst mentoring.

Analyze market, industry, competitor, and customer intelligence for Vistex’s served industries. Assess market opportunities, monitor competitors, identify trends, develop competitor profiles, and translate complex information into actionable insights. Findings support go-to-market strategies, product roadmaps, marketing direction, competitive positioning, pipeline development, and revenue growth. The role collaborates with industry, sales, marketing, product, and pre-sales stakeholders while managing multiple projects.

Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for wealth management data platforms. Analyzes complex financial datasets using advanced SQL, documents business rules and transformations, translates requirements for ETL and data engineering teams, supports data governance and testing, and communicates findings to technical and business stakeholders.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Partners with live music venue operations and hospitality leaders to deliver business intelligence, dashboards, reporting, pricing strategies, guest insights, and cost-management analysis. Supports monthly and post-event reviews, data integrity, innovation, and operational excellence initiatives. Builds relationships with clients and stakeholders, experiments with process improvements, and serves as a subject-matter expert for live music programming.

Designs and maintains pipelines migrating financial data from legacy Oracle databases to Oracle ERP. Develops SQL and PL/SQL transformations, backend integrations, data mappings, reconciliation, testing, monitoring, troubleshooting, and documentation. Partners with accounting, business, and technical stakeholders to resolve issues and support large-scale financial transformation. The role also involves AI tool adoption, code reviews, solution design, deployment activities, governance, communication, mentoring, and project oversight.