Top Analytics Jobs in Boise, ID

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Loads, validates, reconciles, and analyzes client investment data using Excel and SQL. Identifies discrepancies, resolves data issues, and improves repeatable onboarding and migration workflows. Collaborates with development teams to enhance automation, accuracy, and delivery speed. Applies accounting, financial markets, securities, normalization, reporting, and reconciliation knowledge while coordinating complex activities in an agile environment.

Maintains and analyzes investment data for clients by organizing raw data, building data systems and pipelines, integrating multiple sources, and improving data quality. Develops analytical tools, performs data mining, creates visualizations and reports, and collaborates with architects, product teams, clients, and project managers to meet business requirements.

Loads, validates, reconciles, and analyzes client data for onboarding into Clearwater’s investment account system. Uses Excel, SQL, VBA, and Python to resolve discrepancies, improve automation, normalize data, and streamline reporting workflows. Applies accounting, financial markets, securities, and investment knowledge while collaborating with development teams and coordinating complex implementation activities. Leads continuous improvement initiatives and supports scalable, repeatable client data migration processes.

Maintains and validates financial and securities reference data for clients, ensuring accuracy, completeness, and compliance. Responsibilities include monitoring investment data, evaluating vendors, documenting workflows, supporting data solutions, analyzing accounting and custody information flows, performing basic SQL tasks, and collaborating with clients, data providers, and internal teams. The role requires developing knowledge of fixed income, equities, corporate bonds, derivatives, and related investment processes.

Maintains and validates financial asset and reference data for clients. Responsibilities include monitoring securities data, evaluating data vendors, performing manual and automated quality checks, responding to inquiries, documenting workflows, supporting data products, analyzing system information flows, and collaborating with clients and providers. The role also requires developing foundational knowledge of fixed income, equities, corporate bonds, and bond issuance procedures while performing basic SQL tasks.

Leads strategy, planning, and execution of customer EMR integrations for PhareOS. Oversees end-to-end data delivery, integration quality, process standardization, tooling, vendors, and platform enhancements. Builds and scales the data integration team, manages resources and senior client stakeholders, and drives innovation across integration methods and operating models. Requires extensive healthcare data integration leadership, HL7/FHIR and interface engine expertise, SQL proficiency, and strong program management skills.

Load, validate, normalize, reconcile, and report client investment data using Excel, SQL, VBA, and Python. Work with development teams to automate and improve onboarding, apply accounting and securities knowledge, lead improvements, and coordinate complex activities within an agile environment.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Leads Merakey’s enterprise data, analytics, AI, integration, governance, and business intelligence strategy. The Vice President will establish data architecture, governance, master data management, reporting, and advanced analytics capabilities across clinical, operational, financial, and workforce functions. Responsibilities include supporting acquisitions, integrating disparate platforms, developing responsible AI practices, managing vendors, shaping the data operating model, and building high-performing teams. The role partners closely with the CEO, CIO, executive leadership, and business stakeholders to drive enterprise transformation and data-informed decision-making.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Build and maintain dbt-based data transformations, analytics models, ELT workflows, testing, and data quality processes. Collaborate with analysts, engineers, and stakeholders to support reporting, self-service exploration, governance, and business decision-making. Troubleshoot data issues, document workflows, evaluate analytics tools, and contribute to scalable data practices using a modern cloud data stack.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Manages a business analytics team that delivers insights, KPI reporting, trend analysis, data visualizations, governance, and actionable recommendations. Guides statistical analysis, data modeling, querying, experimentation, and self-service analytics while aligning practices with enterprise standards. Partners with leaders to identify opportunities and risks, improve data quality, drive analytics adoption, and support strategic and operational decisions. Oversees team performance, department projects, communications, and best-practice development.

Leads global people analytics and workforce intelligence strategy, building AI-driven tools, predictive models, dashboards, and decision-support applications. Partners with IT, data, and security teams on governance, privacy, and ethical AI. Advises executives, democratizes workforce insights, measures people-program ROI, and anticipates talent trends through benchmarking and workforce modeling.

Lead advanced analytics for Airbnb’s host incentive programs. Own measurement strategy, design and analyze experiments, apply statistical and causal methods, develop metrics and reporting tools, and analyze complex datasets. Partner with Operations, Data Science, Finance, and Product leaders to deliver actionable insights, evaluate incrementality and ROI, and guide program decisions. Present recommendations to senior stakeholders and use AI-assisted analytics to automate repetitive work.

Build and govern clinical analytics datasets, SQL transformations, data marts, dashboards, and reporting solutions for clinical quality, patient safety, outcomes, regulatory, and research initiatives. Partner with clinicians, executives, researchers, and enterprise data teams to define metrics, ensure data integrity, implement testing and governance frameworks, and deliver trusted executive, board, regulatory, and clinician-facing insights using modern cloud data platforms.

Leads analytics strategy and delivery by partnering with business stakeholders, customers, and data engineering teams. Defines and prioritizes analytical roadmaps and backlogs, translates business needs into technical requirements, supports data governance, coordinates development, communicates progress, and manages user acceptance testing. The role promotes data-driven decision-making and ensures analytical solutions deliver sustainable business value.

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.