Top Business Intelligence Jobs

Senior Business Intelligence Engineer responsible for designing Account 360 Medallion Architecture, integrating enterprise and telemetry data, building predictive models and enrichment pipelines, and delivering actionable insights. The role uses Python, R, SQL, machine learning, NLP, and process mining to analyze device usage, customer workflows, and product friction. Responsibilities include rapid data-product deployment, stakeholder collaboration, sprint-based workload management, cross-training, technical debt reduction, and up to 15% travel.

Administer and support Tableau Cloud reporting platforms across development, test, and production environments. Manage users, permissions, security, refreshes, subscriptions, deployments, troubleshooting, and platform health. Support Azure SQL Database, Azure Data Factory pipelines, Salesforce data, and MuleSoft Runtime Fabric integrations. Investigate data and connectivity issues, optimize performance, resolve incidents, document technical processes, support SDLC activities, and mentor team members.

Design and maintain enterprise business intelligence platforms, including dimensional models, semantic layers, data warehouses, Power BI solutions, and Microsoft Fabric integrations. Optimize SQL, DAX, refresh processes, and semantic model performance. Establish BI governance, security, deployment pipelines, source control, testing, monitoring, and documentation. Lead complex initiatives, evaluate emerging technologies, and translate business needs into scalable solutions while communicating technical recommendations and risks to diverse stakeholders.

Build and maintain Tableau dashboards, KPIs, reports, forecasts, and business analyses for Customer Success, Marketing, and Sales. Query and validate cloud warehouse data using SQL, partner with Analytics Engineering on data models and quality, and translate stakeholder questions into actionable insights. Support self-service analytics, AI-enabled tools, documentation, training, and governance while analyzing pipeline, campaign performance, retention, churn, revenue, and customer data.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

Build and transform commercial data solutions using SQL and Databricks, create executive dashboards in Tableau and Power BI, and translate ambiguous business questions into actionable insights. Partner with commercial stakeholders on sales, retail-out, and distribution analytics; identify business trends, standardize reporting, and support enterprise self-service analytics and data maturity initiatives.

Provides business intelligence supporting supply chain and materials management decisions. Develops reports, analytical tools, forecasts, and presentations using internal and external data. Researches industry trends, competitive positioning, financial performance, customer insights, and market risks. Documents business processes, promotes analytical methods, and creates training materials for business users and executives.

Oversee business intelligence initiatives, data standards, integrations, dashboards, reporting, and data quality. Analyze requirements, resolve complex data issues, document data environments, and support user adoption through training and change management. Lead process improvement projects, coordinate testing and deployments, and provide direction to project teams. Collaborate across departments to deliver data-driven insights and KPI reporting while mentoring team members and maintaining compliance with company and gaming regulations.

Develop and maintain enterprise Power BI solutions, including dashboards, reports, semantic models, data transformations, SQL queries, security controls, refreshes, and deployment pipelines. Translate business requirements into scalable analytics solutions, optimize performance, troubleshoot data and connectivity issues, document solutions, support testing, and collaborate with technical and business stakeholders. Provide guidance to junior staff and present analytical findings to technical and non-technical audiences.

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.

Administer Tableau Cloud across development, testing, and production environments; manage users, permissions, security, refreshes, subscriptions, and platform health. Troubleshoot reporting, connectivity, performance, access, data-quality, and pipeline issues involving Azure SQL, Azure Data Factory, Salesforce, and MuleSoft Runtime Fabric. Collaborate with technical teams on incidents and deployments while providing documentation, training, and user support.

Leads enterprise data visualization strategy, architecture, governance, and development standards. Designs scalable Tableau-based analytics solutions, analyzes complex business problems, supports project delivery, and provides technical guidance to visualization users. Mentors junior staff, facilitates cross-functional problem solving, and advises leadership on data visualization decisions. Requires healthcare claims processing and Facets expertise, CMS Guidelines knowledge, and familiarity with fraud, waste, and abuse trends.

Analyze lending and credit risk data to identify trends, deliver strategic insights, develop reports and dashboards, and support business decisions. Lead analytical projects, perform root cause and KPI analysis, communicate findings to senior stakeholders, manage BI solutions, and mentor junior analysts. The role requires advanced data querying, ETL, data warehousing, statistical analysis, visualization, and presentation skills.

The Business Intelligence Analyst transforms commercial, financial, CRM, and operational data into actionable insights. Responsibilities include developing governed Power BI dashboards, analyzing performance and process gaps, improving CRM and data quality, defining KPI standards, validating data, facilitating stakeholder workshops, and tracking measurable business improvements. The role partners with business leaders, process owners, and enterprise IT across the Americas.

Administer Tableau Cloud across development, testing, and production environments; manage users, permissions, security, refreshes, subscriptions, and deployments. Troubleshoot Tableau, Azure SQL Database, Salesforce data, Azure Data Factory pipelines, and MuleSoft integrations. Support reporting users, investigate data quality and performance issues, coordinate incident resolution, document technical processes, and guide team members. The role requires strong SQL, Salesforce, business intelligence platform administration, communication, and problem-solving skills.

Build and maintain Tableau dashboards, reports, and analytical solutions; write production SQL and Python for data analysis and transformation; partner with stakeholders and data engineers to improve reporting, data quality, business performance, and insight delivery. Translate complex business questions into actionable analysis while supporting reporting standards, data definitions, and data-informed decision-making across functions.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Participate in the software development life cycle, including design, database and code implementation, testing, debugging, troubleshooting, documentation, and maintenance. Collaborate in Agile development meetings, write structured code, complete assigned projects, and consult with team members to achieve desired results. The role is intended for a Computer Science or related bachelor's student with strong problem-solving, critical-thinking, teamwork, and learning abilities.

Analyze structured and unstructured data from multiple sources to identify trends, produce dashboards and reports, and deliver actionable business insights. Develop BI solutions, KPIs, forecasts, root-cause analyses, and recommendations for improving operational performance. Communicate findings to technical and senior stakeholders, fulfill ad hoc reporting needs, and lead small projects and initiatives.

Analyze business data to identify trends, patterns, root causes, and improvement opportunities. Create and update reports, dashboards, visualizations, and KPI analyses using internal and external data sources. Translate business needs into reporting specifications, communicate insights to leadership, validate and clean data, and collaborate on team initiatives.

Leads business intelligence and database analysis to generate revenue insights, solve complex business problems, optimize digital performance, support sales and marketing initiatives, and develop predictive data products. The role requires advanced SQL analysis across large data warehouses, Tableau and web analytics reporting, data validation, executive presentations, and leadership of junior staff.

Build and maintain business intelligence models, dashboards, reports, and compensation analyses for shelter, breeder, and sales channels. Support insurance regulatory reporting, ad hoc analytics, data quality, governance, automation, and performance tuning. Partner with data engineering, compliance, and business teams to improve enterprise data models and enable AI-driven initiatives.

Own production Power BI development, including reports, dashboards, semantic models, advanced DAX, Power Query, SQL, and dimensional modeling. Design, deploy, troubleshoot, and support scalable analytics solutions; modernize legacy BI systems; improve data quality, security, performance, and release practices; and collaborate with Product, Analytics, Engineering, and business stakeholders. Preferred experience includes Microsoft Fabric, source control, CI/CD, semantic model tools, and regulated industries.

Develops, maintains, validates, and improves Power BI dashboards, reports, metrics, visualizations, and reporting environments. Partners with stakeholders to gather requirements, analyze and clean data, validate datasets and reporting solutions, troubleshoot issues, and ensure accurate, reliable insights. Supports quality data reporting services, data-source validation, documentation, and continuous improvement of business intelligence systems.

Leads enterprise business intelligence strategy, roadmap, governance, analytics, data engineering, data science, and AI-enabled automation. Partners with executives across functions to define KPIs, deliver dashboards and predictive insights, oversee data platforms and integrations, manage technology vendors and budgets, and lead a global team of BI engineers, data engineers, analysts, and data scientists.