Top Analysis Reporting Jobs in Boise, ID

Participate in business and operations rotations, analyzing data and problems, developing recommendations, improving processes with AI and automation, collaborating cross-functionally, and presenting project outcomes to leadership. The program is designed for recent graduates who can adapt quickly, take ownership, and contribute to real-world projects while developing technical, business, and leadership skills.

Develop and maintain scalable data models, ELT workflows, and pipelines using Snowflake and dbt. Translate business requirements into analytics solutions, optimize SQL, write Python integrations, perform testing and code reviews, document technical specifications, and collaborate with stakeholders. The role also involves Git-based development, data warehousing design, API and SFTP extraction, Agile delivery, and deployment support.

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.

Build, maintain, and scale data pipelines and infrastructure supporting reporting, analytics, and business decisions. Manage relational and NoSQL databases, automate workflows, optimize data systems, monitor integrity and security, troubleshoot pipelines, and create Tableau and Databricks dashboards. Collaborate with data scientists, analysts, and cross-functional teams to deliver reliable data solutions.

Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Leads global contact center capacity planning, forecasting, headcount, and hiring strategies. Builds predictive staffing models using Python, analyzes contact flows and staffing accuracy, and develops reports with MicroStrategy, Alteryx, and Power BI. Communicates data-driven recommendations to executives, partner managers, vendors, and operations teams while managing planning initiatives and optimizing service levels, customer experience, and costs.