Top Senior Analysis Reporting Jobs in Portland, OR

Manages a data engineering team responsible for scalable, reliable data pipelines, infrastructure, and analytics tooling. Provides mentorship, performance management, and technical leadership while coordinating with product, analytics, finance, compliance, engineering, and regulators. Prioritizes cross-functional projects, supports data architecture and governance, ensures performance and reliability, and operates within strict regulatory and audit requirements.

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Design, develop, and optimize scalable Databricks data pipelines using PySpark, SQL, Spark, and Delta Lake. Build workflows, ingestion and transformation processes, data quality checks, monitoring, and CI/CD automation. Optimize distributed workloads, configure Databricks compute, support cloud governance and access controls, troubleshoot production issues, and collaborate with technical and research stakeholders to deliver secure, reliable analytical datasets.

Owns lead and account data quality across the sales pipeline. Responsibilities include deduplicating and enriching CRM records, defining lead quality and routing standards, maintaining account structures, resolving data escalations, evaluating enrichment vendors, and assessing AI for quality assurance and anomaly detection. Partners with sales leadership to build scalable workflows and validation processes using CRM tools, SQL, spreadsheets, and potentially Python.

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.

Own the company’s data function by designing and optimizing Snowflake architecture, pipelines, integrations, data models, BI dashboards, metric definitions, governance, and data-quality standards. Partner with leadership and cross-functional teams to translate operational needs into trusted data products. Automate recurring reporting, troubleshoot ingestion issues, perform ad hoc analysis, and establish scalable analytics practices as the first dedicated analytics hire.

Owns enterprise workforce intelligence and employee listening strategy. Analyzes employee sentiment, workforce trends, talent, skills, organizational effectiveness, and work data to identify risks and opportunities. Develops dashboards, analytical methodologies, AI-enabled insight products, and self-service resources. Partners with HR leaders and data owners to translate complex quantitative and qualitative findings into actionable recommendations for workforce planning, succession, organization design, automation, and capability decisions.

Design, develop, and publish advanced interactive Power BI reports and dashboards; define data structures and ETL needs; build analytics models using Microsoft BI stack (Power BI, SSAS/AAS, dataflows); use DAX and SQL to implement complex logic; collaborate with data engineering and business partners; mentor junior developers and performance-tune reports.

Own sales analytics and forecasting as the trusted source of truth for sales leadership. Build predictive and machine learning models to assess deal close likelihood and slippage, maintain Salesforce and Tableau dashboards, improve data governance, and translate complex business questions into actionable GTM recommendations. Partner with Sales, Marketing, and Finance on reporting standards, strategic planning, QBRs, and executive insights.

Supports leadership by analyzing business processes, systems, technologies, and operational data to identify improvements. Administers and configures business platforms, provides second-level technical support, conducts system audits, develops reports, validates data, and evaluates workflows. The role advises cross-functional teams, leads improvement initiatives, mentors junior staff, and manages operational adjustments while using statistical and trend analysis to support performance decisions.

Designs, builds, and operates scalable enterprise data platforms supporting ingestion, processing, storage, governance, analytics, and AI/ML. Responsibilities include developing batch and real-time pipelines, lakehouse and warehouse architectures, orchestration, infrastructure automation, CI/CD, monitoring, security, cost optimization, and observability. The role partners with data, ML, DevOps, security, and application teams, troubleshoots complex platform issues, establishes reusable engineering standards, contributes to architecture strategy, and mentors engineers.