Top Senior Business Intelligence Jobs

The Senior Business Intelligence Analyst develops scalable data models, reports, dashboards, queries, metrics, and analytics workflows. They partner with business stakeholders to translate needs into actionable insights, optimize data solutions for accuracy and performance, maintain reliable pipelines, automate reporting using generative AI, and ensure documentation and testing standards. The role also identifies risks and opportunities, leads end-to-end projects, and mentors junior analysts.

Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.

Leads the Diagnostics business analytics strategy, roadmap, governance, and end-to-end delivery of dashboards, reporting, visualization, and AI-enabled solutions. Partners with executives and technology teams to define KPIs, drive adoption, measure value, and improve business outcomes. Builds and manages analytics, BI, business analysis, and product teams; oversees budgets, vendors, portfolios, resource planning, and organizational data literacy.

Leads complex fulfillment-center analytics and applied AI initiatives from problem definition through production adoption. Builds scalable data models, pipelines, inspection tools, root-cause analysis, predictive solutions, and self-service analytics. Partners with Product, Engineering, Data Science, and Operations, establishes engineering standards, conducts reviews, mentors junior engineers, and communicates recommendations to senior stakeholders. Requires strong SQL, Python, cloud data, machine learning, visualization, testing, and software engineering expertise.

Deliver business intelligence and performance insights for institutional sales teams. Build sales enablement tools, AI-enabled workflows, KPI frameworks, and scalable data models. Analyze complex datasets, prototype statistical or machine learning models, ensure data governance, and translate findings into recommendations for senior stakeholders while partnering with technology and cross-functional teams.

Leads Sales Business Intelligence strategy and AI transformation as a senior individual contributor. Develops enterprise Power BI dashboards, data models, SQL transformations, metrics frameworks, AI agents, and automated analytical workflows. Partners with sales leadership, IT, engineering, security, and governance teams to deliver trusted insights, improve adoption, reduce manual reporting, and influence revenue decisions. Mentors analysts and drives AI-enabled ways of working without direct people-management responsibility.

Leads enterprise business intelligence, analytics, and reporting platforms. Defines strategy, governance, standards, roadmaps, and modernization initiatives; manages platform selection, migrations, rationalization, lifecycle, vendors, investments, and performance. Establishes semantic layers, governed metrics, self-service analytics, and reporting standards while partnering with business, architecture, engineering, security, and technology leaders. Builds high-performing teams and ensures scalable, secure, reliable, cost-effective analytics capabilities aligned with business outcomes.

Leads the Business Analytics and Reporting team, delivering business intelligence, dashboards, regulatory reporting, financial analyses, and executive insights. Partners with FP&A, strategic planning, and business stakeholders to explain performance drivers, risks, and recommended actions. Owns capital, retained earnings, and dividend calculations; modernizes reporting processes; improves controls and efficiency; and manages hiring, coaching, prioritization, and team development.

Develop and maintain high-visibility Tableau BI solutions, including complex dashboards, embedded analytics, data integrations, and performance optimization. Translate business requirements into secure, accessible visualizations; validate data accuracy and usability; troubleshoot APIs and data connections; and apply Python, ETL, Agile, CI/CD, and AI-assisted development practices. The role also produces architecture artifacts, mentors developers, manages backlog responsibilities, and improves software and data-system quality.

Lead HR business intelligence strategy and delivery for a global organization. Partner with HR and business leaders to translate requirements into workforce insights, develop self-service analytics, ensure data governance and quality, integrate BI tools with cloud platforms such as Databricks, and manage a BI team. Responsibilities include dashboard and visualization development, solution performance monitoring, stakeholder engagement, and continuous improvement.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Leads the Digital and Marketing data, measurement, governance, reporting, and analytics strategy. Owns KPI definitions, data quality, measurement standards, and platform enablement while translating customer and marketing insights into strategic recommendations. Partners cross-functionally with Marketing, Digital, Technology, Finance, Data Science, and Loyalty teams. Builds scalable operating models, advances experimentation and AI-enabled analytics, and leads and develops a high-performing analytics organization.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Develop and maintain BI dashboards, reports, data models, pipelines, web applications, and cloud data solutions supporting supply chain operations. Gather business requirements, translate operational questions into metrics and specifications, validate data, document lineage, migrate legacy reporting, train users, manage competing priorities, and mentor junior team members.

Build and maintain a Snowflake-based BI platform, including transformation layers, dimensional data models, semantic models, dashboards, data quality controls, and performance optimization. Translate business requirements into trusted metrics and reporting, develop dbt models, manage access and costs, and support AI-enabled analytics using Snowflake Cortex Analyst. Collaborate with integrations, finance, sales, and operations teams while establishing engineering standards, mentoring stakeholders, and contributing to Power BI development.

Build and maintain Power BI or Tableau dashboards, write SQL against Snowflake, define KPIs and data models, validate AI-generated analytics, and improve report performance. Partner with finance, sales, operations, and data engineering stakeholders to scope reporting needs, manage dashboard projects, identify data quality issues, and develop semantic-layer definitions. Train business users, create documentation, support self-service analytics, gather feedback, and track dashboard adoption.

Leads architecture and technical design for migrating SAP BusinessObjects reporting backed by SAP HANA to Microsoft Power BI. Responsibilities include reviewing legacy reports, designing target-state architecture, building scalable semantic and dimensional models, optimizing performance, defining governance and security, resolving migration constraints, and guiding Power BI developers. The role collaborates with business stakeholders, data engineers, database teams, and application teams to deliver enterprise reporting solutions.

Designs, develops, and maintains Power BI reports, dashboards, DAX measures, and semantic models. Ensures data accuracy, metric consistency, report usability, access control, and row-level security. Partners with stakeholders to gather requirements, validate reporting, resolve data discrepancies, and support report rollout and training. Administers Power BI workspaces, apps, refresh schedules, documentation, and usage tracking while exploring AI and automation opportunities.

Develop and maintain data pipelines, datasets, dashboards, paginated reports, PowerApps solutions, Power Automate workflows, and Databricks data engineering processes. Translate ambiguous business needs into scalable analytics solutions, write complex SQL, support reporting and data modernization, and contribute to AI/ML initiatives. Collaborate with technical and non-technical stakeholders while delivering actionable insights and automated workflows.

Designs, develops, maintains, and optimizes enterprise Power BI dashboards, reports, semantic models, and analytics solutions. Translates business requirements and KPIs into governed reporting products, implements DAX calculations and row-level security, and supports data governance. Provides user training, documentation, platform monitoring, troubleshooting, incident resolution, and production support while collaborating with business, data engineering, database, and IT teams. Korean bilingual communication is required.

Develop and maintain Power BI dashboards, visualizations, reporting environments, data refresh strategies, and automated exports. Validate student loan data, investigate anomalies, migrate Tableau and Crystal Reports, configure security and accessibility controls, gather requirements, document business rules, train users, and support reporting best practices.

Build and maintain Power BI dashboards, reports, semantic models, and executive scorecards using Microsoft Fabric, SQL, DAX, and Azure data services. Design lakehouses, data pipelines, ELT processes, and governed BI assets connecting ERP, MES, OT, and WMS data. Troubleshoot performance and data quality issues, support governance and lineage documentation, gather requirements, conduct testing and demos, and provide technical guidance to other BI analysts.

Partners with business leaders to translate challenges into analytical solutions; performs data profiling, statistical analysis, and source evaluation; develops dashboards, reports, datasets, and scalable BI solutions; validates data quality with engineers; communicates insights to influence strategy; and mentors junior analysts. The role requires advanced SQL, BI platform expertise, data modeling, visualization, and experience in regulated industries. It is a hybrid position requiring three onsite days per week.

Leads complex and enterprise-level business intelligence solutions supporting healthcare quality, compliance, and operational processes. Serves as a BI subject matter expert, applies advanced technical expertise, mentors team members, and collaborates with data engineering personnel on BI data architecture. Identifies gaps and improves processes, governance, data quality, and standardized work practices.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines with Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLMs, predictive analytics, and SageMaker use cases such as churn prediction and lead scoring. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders.