Business Intelligence Developer

• Develop proper specifications of data requests based on stakeholder needs
• Transform requirements into actionable visualizations/reports
• Design, develop, test, maintain, and support reporting solutions including new reports, visualizations, and dashboards

• Responsible for creating advanced, information-based, business intelligence deliverables
• Provide domain expertise in one or more specific areas
• Work with customers across the organization in clinical, administrative and/or operational areas
• Provide analytical insights from reports and/or dashboard visualizations
• Facilitate discovery of new opportunities, support data-informed decision-making, develop new and enhance existing metrics
• Communicate insights and opportunities to leadership, analytical needs to technical teams
• Serve as a domain expert and mentor to other team membersSupporting projects that are outside their specialized domain
• Procure and integrate the data sources necessary to analyze the needs appropriately
• Deliver relevant analytics tools to meet customer’s objectives
• Implement and support the solutions for ongoing utilization

Senior Business Intelligence Analyst

• Serve as technical lead and primary liaison between IT/data teams and business/program stakeholders for analytics and reporting needs.
• Work with program and business areas to gather, analyze, and document business requirements, translating them into clear technical specifications for BI, analytics, and AI‑driven solutions.
• Lead as a technical project manager, creating and managing hybrid Agile sprint cycles (epics, stories, backlogs) as well as Waterfall project plans and associated project artifacts.
• Act as the primary point of contact for staff with data needs for external (e.g., federal, state, regulatory) and internal reporting.
• Translate complex data requests and operational requirements into clear, actionable queries for AI and traditional BI tools against complex analytics data sources.
• Explain technical findings, constraints, and data limitations in clear, concise, non‑technical language tailored to diverse audiences.
• Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex, multi‑source datasets.
• Guide non‑technical users in crafting precise prompts to obtain the data and insights they need, ensuring fidelity, reproducibility, and accuracy.
• Design, build, and maintain a catalog or library of standardized prompts and query templates for common reporting, performance, and compliance needs.
• Integrate AI‑driven insights into existing BI and reporting workflows while maintaining data quality, traceability, and responsible AI practices.
• Extract, integrate, transform, and analyze data from multiple complex internal and external sources to meet program, operational, and strategic needs.
• Collaborate with end‑users, performance analysts, and IT leadership to design, develop, and validate reports, dashboards, and data visualizations that support program monitoring and official reporting.
• Provide subject matter expertise on validating AI outputs, including identifying, explaining, and mitigating hallucinations and other AI risks.
• Ensure that all data outputs comply with applicable reporting standards, data governance policies, and regulatory or contractual requirements.
• Optimize BI solutions for usability, performance, and maintainability.
• Champion data literacy across the organization, promoting a culture of data‑informed and AI‑assisted decision‑making.
• Develop and deliver training sessions, workshops, and coaching for non‑technical staff on interpreting data, using BI tools, and leveraging AI for data synthesis and analysis.
• Create clear, comprehensive documentation, user guides, and tutorials on utilizing BI platforms and AI tools for querying and reporting.
• Mentor staff with varying levels of data literacy, helping them increase their skills and confidence in working with data and AI.
• Work closely with data engineering, IT, and program/business teams to troubleshoot data‑related issues and resolve data quality, integration, and consistency problems.
• Provide expert guidance to program and business staff on interpreting data trends, identifying root causes, and developing data‑driven recommendations.
• Collaborate on data governance initiatives, including data stewardship, metadata management, and data quality improvement strategies.
• Stay current with emerging AI, analytics, BI, and data visualization tools and techniques, and recommend enhancements to improve data access, data quality, and reporting capabilities.

Business Intelligence Analyst

• Generating actionable, in-depth analysis of large sets of investigative data for Corporate Investigations leadership
• Monitoring developments, assessing organizational performance opportunities and/or compliance risks, and reporting findings in a clear, proactive manner
• Delivering analytic insights via written reports and briefings to Corporate Investigations leadership in a clear, concise, and business-relevant way
• Designing, implementing, and updating ServiceNow performance analytics and case management dashboards
• Designing, implementing, and updating Excel reports using VBA, complex formulas, and power pivots
• Coordinating with a wide range of internal and external stakeholders, including Global Compliance Data & Analytics, Law Department, Employee Corrective Action, and Information Technology
• Supporting Corporate Investigations operations with ad hoc case research, information requests, and legal holds; supporting day-to-day operations-related activities

• The Senior Data Engineer is a technical-facing role within an Information Services, Analytics, or Engineering organization that leverages business relationships to design, develop, and deploy analytics solutions.
• Work with Business Stakeholders, Data Engineers, Data Managers, Data Scientists, and Cloud Engineers to understand business needs and requirements.
• Assess the impacts of business needs and translate them to data-driven and data-centric enterprise solutions.
• Develop and build the published data layer objects and/or visualizations for consumption by the end user community.

Senior Analytics Business Intelligence Engineer

• Analyze client’s business and data requirements and convert them into Microsoft Power BI dashboards and solutions.
• Configure and administer Microsoft Power BI dashboards, reports and datasets.
• Facilitate training sessions on BI tools.
• Work with clients to engage user community and promote platform adoption.
• Serve as a subject matter expert for BI end user solutions, including sharing skills with technically-inclined business users.

Business Intelligence Analyst, Information Technology

• Design reusable BI information models, views, dashboards, metrics and reports that meet business needs across supply chain and related functions
• Translate business requirements into technical designs, user stories and acceptance criteria; validate delivered solutions with stakeholders
• Build, optimize and maintain SQL (Redshift/Oracle/Teradata/SQL Server) queries, Extract Transfer Load (ETL)/data wrangling pipelines and data transformations for reliable reporting
• Produce analytics deliverables (ad-hoc analysis, trend reports, root-cause investigations) to support decision-making
• Prototype and evaluate GenAI/LLM use cases to augment BI workflows (e.g., natural-language querying, automated data summarization, intelligent insights generation, prompt templates for analysts)
• Apply prompt engineering best practices: design, test, and optimize prompts and chains for consistent, accurate outputs; document prompt libraries and guardrails
• Integrate LLM/GenAI capabilities with BI tools or data platforms where appropriate (e.g., Application Programming Interfaces (APIs), wrappers, microservices) in collaboration with engineers and data scientists
• Ensure responsible use of GenAI: implement data privacy, Personally Identifiable Information (PII) handling, output validation, and model risk mitigation practices
• Collaborate with data scientists, Machine Learning (ML) engineers, and platform teams on productionizing Artificial Intelligence (AI)-enabled features and understanding model performance and limitations
• Develop and deliver stakeholder-facing demos, playbooks, and training materials that show how GenAI augments BI workflows
• Work with cloud data platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)) to design, develop, and maintain data products — including data ingestion, storage, transformation, and serving layers
• Build and validate data products on cloud platforms (BigQuery, Cloud Storage, Dataflow, AWS S3, Redshift, Glue, etc.) and collaborate with platform/engineering teams on deploying them to production
• Participate in agile delivery: sprint planning, estimation, development, testing and release activities
• Identify opportunities to improve automation, reduce analyst toil, and scale analysis via templated assets and self-service

Mid-Level Business Intelligence Analyst

• Must work on-site 5 days a week
• Serve as a senior analytics partner to clients and account teams
• Advise clients on analytics strategies
• Determine appropriate responses to client requests
• Provide clear verbal and written updates to management
• Support BI platform initiatives
• Liaise with BI platform and solutions teams
• Partner with development teams to expand analytics offerings
• Support the evolution of a governed, scalable BI ecosystem
• Develop and maintain analytics roadmap
• Proactively analyze client portfolios
• Assist with data assessment and mapping exercises
• Manage intake and backlog processes
• Partner with client technology teams
• Drive continuous improvement in data automation, standardization, and quality
• Utilize advanced analytics tools
• Provide oversight on Power BI model design

BI Analyst – Data Governance

• Handle and execute the business analytics solution vision and feature definitions to ensure impact of developed solution, tool or application is achieved
• Gather and analyze business requirements and end user specifications for new products/functionalities and improve existing solutions
• Plan integration projects, priorities, risk mitigation, staffing, costs and impacts
• Schedule and coordinate pre-implementation meetings with representatives of customer, carriers and vendors
• Work with business partners to ensure all requirements are clearly documented to guarantee deliverables meets the objectives
• Coordinate development and testing with the business analytics, development and product teams
• Independently design, develop, document and deploy high quality dashboards, reports, analytical tools and other user-friendly functionalities

Business Intelligence Engineer, 1st Shift

• Work in partnership with the Director of Analytics to build new dashboards and reports while optimizing existing reports
• Manage regular data refreshes of client dashboards and reports
• Work with internal and external leaders to identify opportunities for improvement of key business metrics and overall program performance
• Collaborate cross-functionally with program managers, Information Services (IS) team members, and client data providers to collect, clean, and analyze data
• Establish KPIs to benchmark existing program performance and measure the effectiveness of new business decisions
• Structure large data sets, create data visualizations, and extrapolate information that can be converted into actionable client recommendations
• Strategically think through data flow, form a plan of action to troubleshoot any issues, and iterate on the plan as needed
• Create client facing reports and presentations suggesting new strategies that will improve overall program performance

• Develop, maintain, and optimize enterprise reporting dashboards supporting project performance, financial management, and business development initiatives
• Create standardized reporting packages and deliver ongoing monthly, quarterly, and annual performance reports
• Design and maintain semantic models, relationships, measures, and calculated columns using DAX
• Optimize Power BI models for performance, scalability, and reusability
• Collaborate with technical staff on deployment pipelines, data refresh strategies, and lifecycle management
• Extract, clean, validate, and analyze data from our ERP and related business systems to assess pipeline activity, win rates, sales cycle trends, and client behavior
• Perform financial and operational performance analysis, including KPI tracking, revenue and margin variance analysis, backlog and WIP reporting, forecasting support, and project health assessments
• Ensure data integrity by identifying inconsistencies, correcting gaps, and recommending process improvements across our ERP and reporting systems
• Translate complex data findings into clear, concise insights for both technical and non‑technical audiences
• Partner closely with business development, operations, finance, and support teams to understand reporting needs and deliver timely analysis
• Support strategic planning through ad‑hoc analyses, scenario modeling, and client insights that inform leadership decisions

• Build, maintain, and improve interactive Power BI dashboards and analyses that provide real-time, cross-functional insights to drive strategic and operational decision-making
• Standardize KPI definitions and reporting processes, documenting metric calculations, assumptions, and limitations to ensure consistency and scalability
• Write and optimize SQL queries for data extraction, transformation, and reporting, ensuring accuracy and efficiency in the resulting datasets across multiple sources
• Present insights to department leads, enabling them to make data-driven operational process improvements, then track and measure the impact of those changes
• Collaborate with business and technical owners of internal tools (and resulting data feeds) to ensure data infrastructure supports accurate, efficient analytics workflows
• Maintain data governance and quality standards, ensuring consistency, accuracy, and adherence to the BI team's source-of-truth data models

Business Intelligence Analyst II

• Developing and maintaining business intelligence solutions to support global supply chain operations
• Building and automating data reports and dashboards using ERP and BI systems
• Partnering with IT and cross-functional teams to validate data accuracy and resolve discrepancies
• Analyzing data trends and generating insights to support operational and strategic decision-making
• Establishing and tracking performance metrics to monitor supply chain system health

Business Intelligence Analyst – Supply Chain

• Improve the quality, completeness, and usability of procurement data
• Use SQL and Python for data issues and root-cause analysis
• Support selected AI/ML use cases through data preparation and model evaluation
• Partner with business stakeholders to understand process pain points

• Responsible for the creation and overseeing of Manufacturing proposals to support the Bid and Proposal process
• Manage complex project initiatives of moderate importance with general oversight and direction
• Communicate practices, processes, and approaches within and outside of the organization
• Make improvements in processes, systems, or products
• Work towards achieving operational targets that impact departmental results

Senior Specialist, Business Intelligence Analyst – Manufacturing Estimator

• Work effectively across all account service lines in coordination with account director and BIAS team to identify client reporting requirements and determine best-fit solutions to resolve reporting needs
• Identify opportunities for process improvements on account and implement solutions to close process gaps across all service lines to increase efficiency and efficacy of account team by working closely with service line leads and AD
• Implement short term BI solutions to assist with account team reporting needs without impacting the delivery of the long-term roadmap and final solution
• Utilize advanced analytics tools to transform data, automate workflows and develop analytical tools
• Lead data and reporting governance on the account to ensure analytics platform operates as designed
• Perform data assessment and data mapping exercises to support system integration projects
• Develop the client specific business glossary, data dictionary, technical documentation and process documentation as required for activities within the data workstream
• Provide guidance and training to the account team employees on dashboarding platform, Triana and other analytical tools used on account when applicable
• Execute user acceptance testing of feature enhancements in both new releases and new dashboards
• Troubleshoot Triana bugs and issues with client specific instance of Triana
• Defining the business requirements from the account and client teams for custom reporting and act as the VOC for Triana platform enhancements
• Proactively analyse the client’s portfolio and provide support in identifying risks and opportunities
• Support data assessment exercise with account team and client while onboarding onto Triana or in preparation for custom reporting solution
• Assist with account specific data analysis to ensure consistency in reporting and dashboard requirements across the account and the Triana platform
• Partner with the development team to expand the Triana offering through dashboard POCs, tabular model measure development and product feature enhancements
• Provide both verbal and written updates to management on the progress of work
• Liaise with service line leadership to extract data from point applications for uploading into Triana
• Monitor KPI performance and report results regularly to the Senior Leadership Team
• Review data to be utilized for QBR documents and manage internal associated drafting and review meetings as needed
• Resolve Ad-Hoc reporting requests or other tasks as assigned

BI Analyst, Data Governance

• Define adoption and behavioral success frameworks, including leading and lagging indicators and measurement cadence.
• Analyze usage patterns, engagement signals, and behavioral trends to identify drivers of adoption and areas of friction.
• Integrate qualitative feedback (surveys, interviews) with quantitative metrics to provide actionable insights.
• Design and build adoption dashboards using Power BI, Tableau, or similar BI tools.
• Partner with data and engineering teams to model adoption datasets in Snowflake or comparable data platforms.
• Create mock‑up dashboards (e.g., Figma) to align stakeholders on metric intent and visualization approach.
• Document data sources, joins, calculations, and metric definitions to ensure reporting consistency and trust.
• Establish governance for adoption reporting, including metric definitions, refresh cadence, ownership, and data quality checks.
• Ensure accurate, timely, and auditable visibility of adoption metrics for internal teams and dealer audiences.
• Create repeatable documentation and standards to support scalable reporting.
• Partner closely with Product, DACS, Dealers, Customer Support, and Industry Partners to align on adoption insights and priorities.
• Research industry trends and best practices in digital and AI adoption measurement and incorporate learnings into internal approaches.
• Communicate findings clearly to technical and non‑technical audiences.

Lead Business Intelligence Analyst

• Turn data into actionable insights by developing dashboards, reports, and analytics.
• Design, develop, and maintain Power BI dashboards and reports.
• Collect, clean, and transform raw data into structured datasets optimized for reporting.
• Write and optimize SQL queries to extract and analyze data.

Data Analyst – Business Intelligence, Power BI

• Works independently to develop high quality BI contents that meets business needs
• Promotes consistent use of BI contents and calculations; recommend standards and BI best practices for the organization
• Assists in gather information and support on data governance processes
• Analyzes the use of data and interpreting data directly against requirements.
• Captures source data characteristics and abstracting them into consolidated data repository with proper data lineage and change control – including data from internal and external sources, also on premises or from the Cloud.
• Determines the logical design characteristics and information management strategies necessary to store, move, and manage data from a wide variety of database platforms.
• Responsible for creating, vetting and publishing data sources for common use in our BI tools (currently Tableau, Crystal and Epic reporting products).
• Gathers, documents and designs data integration and data visualization requirements for projects for small organizations through large corporations.
• Assists BI content creators to rapidly generate impactful, interactive visualizations with consistent and proper data elements
• Troubleshoots complex issues and addresses resolutions.

Senior Epic BI Developer

• Analyzes the use of data and interpreting data directly against requirements.
• Captures source data characteristics and abstracting them into consolidated data repository with proper data lineage and change control – including data from internal and external sources, also on premises or from the Cloud.
• Determines the logical design characteristics and information management strategies necessary to store, move, and manage data from a wide variety of database platforms.
• Creates, vets and publishes data sources for common use in our BI tools (currently Tableau, Crystal and EPIC reporting products).
• Gathers, documents, and designs data integration and data visualization requirements for projects for small organizations through large corporations.
• Assists BI content creators to rapidly generate impactful, interactive visualizations with consistent and proper data elements.
• Performs other duties as assigned.

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