Business Intelligence Developer

• Design and develop scalable, efficient data models and governed semantic layers
• Translate complex SQL queries into scalable and reusable semantic models
• Optimize pipeline performance and queries
• Collaborate with the Analytics team to model key business metrics
• Create and maintain enterprise reports and dashboards with actionable insights
• Develop and maintain reliable data transformation and loading pipelines
• Manage and configure the BI platform, including user access, data governance, performance tuning, and security
• Champion data literacy, governance, and adoption across the business
• Support strategic decisions and operational performance monitoring across Marketing, Sales, Customer Growth & Retention, Product, and other functional areas
• Report to the Manager, Business Intelligence

Senior Business Intelligence Engineer

• Design, develop, and maintain custom financial and operational reports and dashboards in Sage Intacct
• Build and manage reports in Sage 300 CRE using Crystal Reports and Office Connector
• Ensure reports accommodate multi-entity, multi-currency, and department-specific needs
• Align reporting outputs with month-end and quarter-end close cycles and ad hoc reporting requests
• Maintain data accuracy, consistency, and usability
• Replicate key data into SQL tables when built-in tools are insufficient
• Support advanced report generation using SQL and Crystal Reports
• Troubleshoot data access and quality issues across systems and reports
• Gather reporting requirements from Accounting, Finance, and Business Operations teams
• Deliver customized reporting solutions to internal stakeholders and clients
• Provide guidance, documentation, and user support for interpreting and modifying reports
• Document report logic, data sources, and version history
• Share reporting best practices and train internal team members as needed

Business Intelligence Consultant

• Design, build, and support enterprise Data Lake solutions from the ground up
• Develop scalable ETL solutions and data pipelines
• Move and process terabytes of data efficiently
• Implement data quality, data governance, metadata, and lineage processes
• Develop anomaly detection, monitoring, and alerting capabilities
• Support modern Data Lakehouse and real-time analytics platforms
• Support large-scale data ingestion, transformation, reconciliation, and backfill processes
• Troubleshoot and optimize production data services and distributed analytics platforms
• Support production Linux environments and distributed data and analytics platforms
• Support enterprise reporting, self-service analytics, and business intelligence solutions
• Ensure data platforms handle sensitive and regulated information appropriately
• Provide technical leadership, mentor team members, conduct code and design reviews, and contribute to engineering standards and best practices
• Report to the DBA and Analytics Manager

Senior Data Engineer, Business Intelligence

• Design, build, and support enterprise Data Lake solutions from the ground up
• Develop scalable ETL solutions and data pipelines
• Move and process terabytes of data efficiently
• Implement data quality, data governance, metadata, and lineage processes
• Develop anomaly detection, monitoring, and alerting capabilities
• Provide technical leadership on complex data and analytics initiatives
• Mentor team members and conduct code and design reviews
• Contribute to engineering standards and best practices
• Support production data and analytics platforms, including troubleshooting and performance optimization

• Design, build, and support enterprise Data Lake solutions from the ground up
• Develop scalable ETL solutions and data pipelines
• Move and process terabytes of data efficiently
• Implement data quality, data governance, metadata, and lineage processes
• Develop anomaly detection, monitoring, and alerting capabilities
• Support modern Data Lakehouse and real-time analytics platforms
• Support large-scale data ingestion, transformation, reconciliation, and backfill processes
• Troubleshoot and optimize production data services and distributed analytics platforms
• Support Linux environments and operational services for data and analytics platforms
• Support enterprise reporting, self-service analytics, and business intelligence solutions
• Ensure platforms handle sensitive and regulated data according to organizational requirements
• Provide technical leadership, mentor team members, conduct code and design reviews, and develop engineering standards

• Pull together and analyze data from multiple systems and sources to create a reliable, consolidated view of business performance
• Build and maintain scalable dashboards and reporting for MBRs/QBRs, Sales, Marketing, funnel performance, customer trends, and product usage
• Partner with cross-functional teams to understand business questions and identify meaningful metrics
• Develop and maintain data models and reporting structures
• Establish data validation and quality-control processes
• Work with Data Engineers and technical partners to identify data gaps and improve data collection and availability
• Translate complex datasets into clear insights, trends, and actionable recommendations
• Query and manipulate data using SQL and other analytical tools
• Build dashboards and visualizations for teams and leaders
• Define, document, and standardize business metrics and reporting methodologies
• Investigate data discrepancies and improve data quality
• Support recurring executive and leadership reporting, including monthly and quarterly business reviews
• Respond to ad hoc analytical requests and turn repeat questions into scalable reporting solutions
• Continuously improve dashboards, reporting workflows, and analytical processes

Data Analytics, BI Analyst

• Support strategic data initiatives
• Design and develop analytical data products and services
• Analyze complex datasets
• Develop data models and visualizations
• Create dashboards and reporting solutions
• Translate data into actionable business insights
• Work within a collaborative, multi-disciplinary team

Business Intelligence Analyst – Intermediate

• Provide hands-on business intelligence support for strategic data initiatives under the Data Strategy
• Translate data into actionable business insights supporting strategic decisions
• Create dashboards, reports and business KPIs
• Deliver business intelligence capabilities for internal and external client needs
• Develop analytical data products and services based on various data sets
• Analyze data and prepare results
• Gather and document client requirements
• Design and develop data products
• Capture business and technical metadata for data products
• Perform data analysis, data quality audits/reviews, statistical analysis and data mining
• Develop and share data models and products
• Develop baseline and ongoing outcomes, key results, metrics and other indicators
• Provide insights, support decision-making and facilitate strategic business planning
• Integrate quantitative and qualitative data to create business insights
• Design and create dashboards and custom reporting
• Escalate issues and risks as appropriate
• Work within a multi-vendor/staff environment