Top Business Analyst Jobs

Supports the bank’s deposit growth strategy by analyzing product, program, pricing, market, and customer data. Develops recommendations, reporting, and insights to improve deposit growth; collaborates with cross-functional bank and IT teams to implement recommendations and expand data capabilities. The role requires extensive financial services marketing analytics experience and expertise with CRM, data warehouse, reporting, and business intelligence tools.

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.

Conduct business process discovery, requirements elicitation, data analysis, and validation for business-critical data integrations. Document current and future-state data flows, create functional specifications and data mappings, validate APIs and data quality, support testing and defect triage, and facilitate stakeholder sign-off. Collaborate with SMEs, engineers, product owners, distributors, and executives to prioritize requirements and deliver reliable integration solutions.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

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.

Designs and implements data-driven solutions for research operations using SQL, data engineering, and analytics. Develops dashboards, automated recruitment and survey processes, data integrations, reporting, and compliance checks. Analyzes data, supports complex participant recruiting, and collaborates with research, analytics, legal, and engineering teams to improve data accessibility, workflows, and operational efficiency.

Delivers recurring and ad hoc financial, operational, and productivity analytics across departments. Analyzes billing, collections, inventory, staffing, utilization, profitability, and other performance metrics. Develops reports, dashboards, written analyses, and executive summaries; maintains reporting tools, databases, templates, and visualizations; validates data quality; and collaborates with finance teams on strategic and operational initiatives.

Create dashboards, reports, visualizations, and analyses that identify trends and support leadership decisions. Lead annual financial planning, including budgeting, forecasting, variance analysis, performance monitoring, and reporting. Analyze product, operational, and vendor expenses to identify cost drivers and connect operational performance to financial outcomes. Collaborate with stakeholders to define reporting requirements, validate data, and communicate insights.

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.

Analyzes business data to identify trends, patterns, performance indicators, and root causes. Creates and maintains reports, dashboards, visualizations, and analysis specifications using internal and external data. Communicates insights to peers and management, supports business decisions, and collaborates on analytics projects and initiatives.

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.

Analyzes international trade data to provide actionable insights, support modernization and process improvement projects, resolve system issues, assist with testing, create training resources, and translate trade regulations and business requirements into Global Trade Management workflows and documentation.

Build and migrate production data models from Alteryx to dbt, manage Dagster or Airflow pipelines in Redshift, and create Tableau insights for Revenue Operations. Partner with business stakeholders to translate data into strategy and ROI. Explore LLMs, predictive analytics, and SageMaker machine learning applications such as churn prediction and lead scoring. Support ABM, customer health scoring, and globally aligned KPI reporting.

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

Designs, develops, validates, implements, and supports complex data, reporting, database, application, and automation solutions. Performs business and technical analysis, creates SQL and ETL solutions, develops reports and APIs, validates claims and audit data, resolves production issues, and ensures regulatory and control compliance. Leads technical initiatives, manages project risks and milestones, supports system testing and deployment, and guides other analysts.

Creates and maintains business intelligence reports, dashboards, data models, and documentation using Power BI. Collects and analyzes internal, industry, public, and purchased data; performs data profiling; identifies trends and anomalies; and develops actionable recommendations. Collaborates with business divisions, management, stakeholders, and IT to improve data collection and operational efficiency. Coaches users on Power BI and business intelligence practices. This is an on-premise role at the company’s Bloomington, Minnesota office.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines using Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Collaborate on AI, predictive analytics, churn prediction, and lead scoring initiatives using LLMs and Amazon SageMaker. Serve as a liaison between data teams and business stakeholders across Sales, Marketing, and Customer Experience.

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.

Develops and manages Power BI dashboards, apps, semantic models, reports, and SQL datasets. Transforms data using Azure, Power Query, and DAX; supports automation through Power Automate and Power Apps; documents systems and procedures; and partners with stakeholders on requirements, testing, training, deployment, and continuous improvement. Provides actionable insights and process improvements across the organization.

Analyzes portfolio performance and business data to identify trends, risks, opportunities, and actionable insights. Builds and updates reports, dashboards, visualizations, and performance analyses using SQL and business intelligence tools. Conducts research, benchmarking, forecasting, and data validation, then communicates findings to peers and leadership. Collaborates on analytical projects and translates business needs into report and analysis specifications.

Build and modernize business intelligence reporting by connecting Snowflake and BigQuery data with BI tools and generative AI APIs. Develop Looker dashboards, automate analysis, detect anomalies, validate data, and deliver actionable insights to Editorial, Sales, Finance, Product, and leadership. Lead data alignment meetings, communicate complex findings clearly, and mentor analytics teams on AI tools, prompt engineering, and database connectors. Monitor live data during major shopping holidays and work EST hours.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

Leads pricing and business analytics for contract product lines, analyzing performance, financial, and operational data to identify risks and opportunities. Develops pricing models, recommendations, and process improvements that support revenue and profit goals. Presents actionable insights to sales, operations, finance, and field leaders, manages special projects, maintains documentation and SOPs, and mentors analysts.

Provides analytical leadership for pricing and contract business operations. Analyzes pricing and operational performance, maintains pricing models, identifies risks and opportunities, and develops recommendations supporting revenue and profitability goals. Partners with sales, finance, marketing, product development, and field leaders; presents insights to business stakeholders; leads special analyses and process improvements; maintains training documentation and SOPs; and mentors analysts.

Build and improve analytical tools and AI-enabled automations for Strategic Finance and cross-functional teams. Analyze data using SQL, BigQuery, Hex, spreadsheets, and AI tools; prototype, test, validate, document, and iterate solutions. Translate business problems into analytical requirements, collaborate with Data & Tech, evaluate AI-generated outputs, and help transition successful prototypes into tools used across Planning, Merchandising, E-commerce, Operations, and Growth.