Top Remote Business Intelligence Analyst Jobs

Create client-facing analyses and reusable data products for Product, Analytics, Client Success, and Sales teams. Analyze large healthcare datasets to identify behavioral patterns among medical professionals, automate code, and communicate insights to technical and non-technical stakeholders. The role combines SQL, Python-based exploratory data analysis, data visualization, stakeholder collaboration, and opportunities to grow into presentation-focused or advanced technical work.

Owns end-to-end reconciliation and financial reporting for payment settlements, banking activity, and internal ledger data. Responsibilities include designing SQL-based reports, dashboards, controls, metrics, exception workflows, and automated pipelines; investigating discrepancies and revenue leakage; supporting month-end close, audits, and regulatory reporting; partnering with Engineering, Product, Accounting, Treasury, Tax, and Compliance; and mentoring analysts.

Own end-to-end reconciliation and financial reporting across card networks, processors, banks, and internal ledger data. Build SQL-based reports, dashboards, exception queues, metrics, and automated controls; investigate discrepancies and root causes; improve data pipelines and processes; support month-end close, audits, and regulatory reporting; and partner with Engineering, Product, Accounting, Treasury, Tax, and Compliance. Mentor analysts and guide responsible AI use.

Build and maintain dbt data models while migrating workflows from Alteryx, orchestrating pipelines with Dagster or Airflow, and managing Redshift data infrastructure. Partner with RevOps stakeholders to translate data into actionable business insights and Tableau dashboards. Explore AI, LLM, and machine learning applications using SageMaker for predictive analytics, churn prediction, lead scoring, ABM, and customer health scoring.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines through Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLM, predictive analytics, and machine learning applications such as churn prediction and lead scoring using Amazon SageMaker. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders on KPIs, account-based marketing, and customer health scoring.

Build and migrate production data models from Alteryx to dbt, orchestrate reliable pipelines with Dagster or Airflow, and manage Redshift-based analytics infrastructure. Partner with Revenue Operations leaders to translate data into actionable business insights, dashboards, and KPI visibility in Tableau. Explore AI, LLM, and machine learning applications using SageMaker for use cases such as churn prediction and lead scoring. Support Salesforce data modeling, ABM, customer health scoring, and advanced analytics initiatives.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Dagster or Airflow pipelines in Redshift, create Tableau dashboards, and translate technical data into RevOps insights. Collaborate with Sales, Marketing, and Customer Experience leaders on KPIs, ABM, and customer health scoring. Explore AI, LLM, predictive analytics, and SageMaker-based machine learning for applications such as churn prediction and lead scoring.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Design, develop, and maintain Tableau and Power BI dashboards and data solutions for Supply Chain. Implement AI/ML models with Enterprise AI team, build ETL pipelines, perform ad-hoc analysis and automation, own KPIs, ensure data governance, provide training/support, and participate in QA and UAT to deliver actionable insights for operations.

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.

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.

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.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Supports enterprise data governance and business intelligence initiatives by profiling datasets, defining quality rules, validating metadata and lineage, maintaining business glossaries, and testing API integrations. Develops data-quality scorecards, governance reports, dashboards, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders while tracking remediation and testing evidence in Azure DevOps. The role requires Power BI, data governance, data-quality, SQL, ETL, and relational database experience in a Navy environment.

Leads advanced business intelligence and analytics initiatives, translating complex business needs into scalable enterprise solutions. Performs forecasting, scenario analysis, data preparation, validation, and troubleshooting using SQL, Python, and BI tools. Advises business leaders, defines requirements, supports data modeling and governance, improves self-service analytics, mentors analysts, and promotes data literacy. The role drives analytics maturity, data quality, process improvements, and strategic decision-making across the credit union.

Build and maintain finance data models, pipelines, analytical models, datasets, and Power BI reports using Microsoft Fabric, Databricks, PySpark, and related platforms. Integrate SAP and non-SAP financial data, ensure metadata, lineage, governance, and production reliability, and manage code releases through GitHub. Collaborate with finance, engineering, and business stakeholders to deliver scalable, AI-ready data solutions and translate complex information into actionable insights.

Owns the reporting and analytics foundation supporting Neptune’s Dollar General partnership. Responsibilities include developing dashboards and recurring reports, analyzing digital incentive and commercial performance, identifying growth opportunities, supporting revenue forecasting and reconciliation, validating data across sources, and translating findings into actionable recommendations for leadership and client stakeholders.

Develop and maintain Power BI dashboards, reports, data models, KPIs, and executive scorecards using SQL and healthcare claims data. Analyze trends, anomalies, savings opportunities, compliance risks, and Payment Integrity performance. Partner with business, compliance, clinical, and technology stakeholders to translate requirements into scalable regulatory and operational analytics solutions. Ensure data quality, governance, and reporting consistency while supporting forecasting, root cause analysis, and AI-enabled analytics initiatives.

Develops self-service BI tools, data sources, data marts, and interactive visualizations using Tableau or Power BI. Partners with clinical and operational leaders to translate information needs into actionable insights. Combines data from warehouses, lakes, and external sources; supports ETL, validation, data governance, platform maintenance, security access, and compliance. Trains and mentors analytics team members while ensuring BI assets are accurate, trusted, secure, and effectively maintained.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

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.

Supports enterprise business intelligence through ETL, SQL development, data warehouse modeling, SSRS reporting, SSAS cubes, Qlik analytics, dashboards, documentation, quality assurance, and issue resolution. Partners with cross-functional stakeholders to gather requirements, translate business needs into reporting solutions, ensure data accuracy, and train end users. The role requires independent analysis while collaborating with senior BI staff and supporting organizational decision-making.