Top Analysis Reporting Jobs in Boise, ID

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

The Lead Data Migration Specialist enhances system automation and accuracy, handling data collection, analysis, and onboarding. They resolve discrepancies, implement optimizations, and collaborate with development teams, ensuring efficient data management and continuous service improvement.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Support stakeholders to gather and document requirements for analytics, reporting, data products, and AI solutions. Perform exploratory data analysis with SQL, identify data quality issues, create user stories and technical specifications, coordinate with engineering and BI teams, facilitate discovery workshops, and support UAT and standardized analytics practices.

Deliver sales reporting, data preparation, dashboard updates, and analysis to support sales intelligence. Maintain data accuracy across the warehouse and CRM, build Power BI visuals, execute ETL processes, and translate insights for non-technical stakeholders.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Design and implement enterprise analytics tracking across web, mobile, and SPAs using Tealium and other TMSs. Maintain data layers and SDRs, configure tags and events, validate data integrity, collaborate with engineering teams, mentor junior staff, produce technical documentation, and support presales and thought leadership activities.

Partner with Sales, RevOps, Finance, and Data Engineering to convert CRM and pipeline data into actionable insights. Build and maintain pipeline and forecasting reports, dashboards, and metrics; identify risks and opportunities; improve data quality and reporting reliability; triage analytics requests; and embed AI tooling into analytics workflows to accelerate output and ensure analytical rigor.

Partner with Customer Success and CS Ops to build post-sales analytics: customer health scoring, renewal and renewal pipeline reporting, billing and support signal analysis, and expansion/upsell dashboards. Own dashboard ecosystem, translate stakeholder requests into scalable reporting, collaborate with Finance and Data Engineering, and leverage AI tools to accelerate analytic workflows and maintain data quality for retention and expansion decision-making.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Monitor and verify accuracy of live e-sports game data feeds in real time, identify and resolve discrepancies, cross-check multiple sources, escalate issues, and collaborate to streamline processes. Maintain knowledge of schedules, rosters, rule changes, and key metrics to ensure contextual data accuracy throughout the season.