Top Analytics Jobs in Boise, ID

Maintain and integrate investment data; build data systems and ETL pipelines; analyze large datasets; produce visualizations and reports (Tableau/Power BI/D3.js); improve data quality and governance; develop analytical tools; collaborate with clients, system architects, and product teams.

The Data Migration Specialist optimizes system performance for client data onboarding by utilizing Excel, SQL, VBA, and Python. They resolve data issues, apply accounting concepts, and implement solutions for continuous service improvement, while collaborating with development teams.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Design, build, and maintain data connections and transformations to normalize external portfolio data into a standard Clearwater format. Automate monitoring, improve auto-reconciliation, implement solutions from data feeds, support projects and migrations, mentor hires, and communicate technical details to non-technical stakeholders.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

Lead the marketplace analytics by optimizing monetization strategies, monitoring performance, creating dashboards, and analyzing supply-demand dynamics. Collaborate cross-functionally to drive engagement and profitability.

The IT Manager of Data & Analytics is responsible for leading data governance, implementing DevOps practices, and overseeing emerging technologies adoption while managing a team to enhance data capabilities and ensure compliance and operational efficiency.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Design and automate partner-facing reporting systems, transform complex healthcare data into clear insights, present findings to external stakeholders, support partner success, and collaborate cross-functionally to scale analytics workflows and uncover operational and clinical trends.

Develop and productionize safety and performance metrics for autonomous driving by analyzing large-scale vehicle, simulation, and external data. Build scalable data pipelines, interactive visualizations, and analytics infrastructure to support safety assessment, monitoring, investigations, and stakeholder decision-making. Apply engineering judgment, signal processing, and statistics to derive analysis-ready features and evidence for launch readiness.

The Analytics Manager will manage credit strategies for the Shopify portfolio, leveraging data analytics, collaborating with cross-functional teams, and enhancing underwriting frameworks.

The Senior Manager of Analytics will lead analytics on enterprise accounts, drive strategic insights for clients, oversee analytics delivery, and innovate offerings while collaborating with internal teams to enhance analytics capabilities.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

Use advanced analytics and ML to design and monitor credit risk models, optimize underwriting and credit strategies, partner with Engineering/Product/Compliance, oversee portfolio performance and regulatory alignment, and lead cross-functional initiatives to balance growth, compliance, and risk mitigation.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Regulatory Reporting Analyst ensures accuracy in insurance regulatory reporting, assists internal/external parties, manages controls, and improves data systems.

The Subject Matter Expert leads reconciliation efforts, improving processes, ensuring compliance, training staff, and managing client projects with advanced technical skills in reconciliation tools and Excel.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Sr. Data Migration Specialist enhances system efficiency by loading and validating client data, optimizing workflows, and implementing continuous improvements using advanced SQL and Excel skills.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.