Business Intelligence Developer

• An advanced analytical professional who exercises independent judgment to solve complex business questions
• Builds predictive models, delivers actionable insights, and leads project teams to drive specific operational or financial decisions
• Bridges the gap between raw data and actionable strategy
• Focuses on business value—leading business and technical requirements gathering, building rapid proofs-of-concept (POCs), and presenting data-driven recommendations to operational leaders
• Working with minimal oversight applying advanced analytical skills to novel business problems where no clear procedure exists
• Informally mentors junior team members

Business Intelligence Analyst III

• Manage multiple projects simultaneously, ensuring timely and effective delivery from initiation to completion
• Extract, analyze, and interpret data—including clinical data—to identify and recommend business opportunities to stakeholders
• Lead project teams in developing visualizations, tools, or other assets based on data-driven insights
• Accountable for project planning, monitoring progress, setting deadlines, and resolving issues
• Collaborate across CAPI and with external partners to ensure project alignment and successful outcomes
• Operate with a high level of independence and make informed decisions in complex situations
• May assume direct supervisory responsibilities as needed

Senior Business Intelligence Engineer

• 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

Senior Business Intelligence Analyst

• 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

• Architect across business and engineering: Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our product and engineering teams.
• Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip.
• Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team.
• Build and own data models: Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models.
• Partner with product engineering: Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines.
• Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.

• Solves complex business problems and issues using data from internal and external sources
• Provides insight to decision-makers
• Creates innovative solutions to complex business problems
• Manages Big Data and data quality
• Makes decisions regarding own work methods
• Follows established guidelines/procedures

Business Intelligence Engineer – Medicaid

• Analyze data from sales, manufacturing, engineering, financials, and supply chain systems
• Perform root cause analysis on operational issues
• Support global entities in the development of local KPIs
• Develop and maintain standardized KPI dashboards
• Partner with stakeholders to define reporting and analytics needs
• Design and develop interactive dashboards and reports in Power BI
• Collaborate with IT and ensure data accuracy, consistency, and reliability

Power BI Analyst II

• Dive deep into Zillow's internal and third party data to model data that accurately reflect our customer journey and business processes.
• Design a reusable, modular semantic layer that makes metrics and dimensions consumable across BI tools, data science workflows, and AI systems, while promoting consistency across those surfaces.
• Lead cross-organizational data initiatives that align with company strategy and roadmap planning
• Drive alignment on metric definitions and data governance standards across business lines
• Influence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systems
• Mentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organization
• Partner with executive stakeholders to influence how the data infrastructure must evolve to support company objectives
• Operate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.

Principal Business Intelligence Engineer

• 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

• Own and evolve the core business scorecards, dashboards, and ad-hoc analyses leaders use to monitor subscriber growth, revenue, billing health, retention, engagement, content performance, and monetization trends.
• Translate ambiguous questions from stakeholders into structured analytical plans, clear findings, and actionable recommendations that inform real decisions.
• Build deep expertise in Philo's billing and subscription ecosystem, including trials, conversion, renewals, churn, reactivation, plan migration, add-on attach, refunds, credits, failed payments, involuntary churn, and direct vs. partner billing flows.
• Identify the operational and product levers that improve subscriber health, reduce friction, and strengthen revenue retention across the lifecycle.
• Partner with Growth and Lifecycle Marketing on acquisition quality, funnel performance, cohort health, promotional effectiveness, winback programs, and LTV/CAC context.
• Partner with Product, Design, and Data Science on customer journey analysis, feature adoption, experimentation readouts, and insight generation across the viewing and account experience.
• Partner with Content, Programming, and Marketing to understand which channels, titles, and viewing patterns drive acquisition, engagement, retention, upsell, and free-to-paid conversion opportunities.
• Support customer-facing and operational teams with insights into support contact drivers, account issues, billing friction, and subscriber pain points where analytical clarity can improve the customer experience.
• Build executive-ready materials that connect numbers to narrative, synthesize tradeoffs, and help technical and non-technical stakeholders make decisions with confidence.
• Improve the quality and trustworthiness of business data by partnering with analytics engineering and data engineering on instrumentation, metric governance, source-of-truth logic, and data quality issues.
• Help raise the analytical bar across the organization through clear documentation, thoughtful prioritization, and a pragmatic balance of speed and rigor.

• Collect, manipulate, visualize, and analyze data from multiple business systems to support operational and strategic decision-making
• Design, build, automate, and maintain dashboards, scorecards, and recurring performance reports
• Define, track, and improve key performance indicators and business metrics in partnership with stakeholders
• Analyze business problems and perform root-cause analysis to understand solution space and implement identified opportunities
• Develop and maintain relationships and partnerships with stakeholders, peers, partners, suppliers, customers, and management
• Translate business questions into data requirements, reporting logic, and actionable insights
• Support data governance, standard metric definitions, and consistent reporting practices across the organization
• Present analysis and recommendations to functional leaders and executive stakeholders in a clear, concise manner
• Coordinate with cross-functional teams to implement reporting improvements and fulfill business intelligence priorities

Business Intelligence Analyst – Mid-Level

• Lead the architecture, design, and evolution of enterprise-scale data warehouse and analytics platforms supporting global business operations and strategic decision-making.
• Define and implement enterprise data modeling standards, governance practices, and scalable architectural frameworks for analytics and reporting solutions.
• Design and optimize Snowflake-based solutions, including advanced SQL development, dbt frameworks, JavaScript-based stored procedures, and data pipelines.
• Lead the development of scalable and maintainable dimensional data models, including staging, intermediate, semantic, and enterprise reporting layers with automated testing, lineage tracking, and documentation standards.
• Drive enterprise data integration initiatives involving Oracle E-Business Suite (EBS), ERP systems, manufacturing systems, external APIs, and cloud-based data platforms.
• Serve as the technical authority for enterprise BI and analytics engineering solutions, providing guidance and mentorship to engineers and cross-functional technical teams.
• Partner with business leaders and stakeholders across Finance, Supply Chain, Manufacturing, Operations, and IT to translate strategic business objectives into scalable technical solutions.
• Lead architecture reviews, performance optimization efforts, data quality initiatives, and enterprise scalability planning for mission-critical analytics systems.
• Establish best practices for ETL/ELT development, CI/CD deployment processes, code quality, testing frameworks, and operational support procedures.
• Evaluate emerging technologies and recommend improvements to enterprise data architecture, analytics platforms, and reporting capabilities.
• Lead complex cross-functional programs and coordinate technical activities across multiple teams to ensure successful delivery of enterprise initiatives.
• Drive continuous improvement initiatives for data governance, metadata management, reliability, observability, and operational excellence.
• Participate in strategic planning discussions related to enterprise analytics capabilities, data modernization efforts, and long-term platform roadmaps.

• Maintain and scale the Odos transaction and event database (Redis, PostgreSQL, or equivalent).
• Build ETL pipelines from on-chain data sources, APIs, and internal services.
• Ensure data integrity, consistency, and query performance across chains and order types.
• Define and track key metrics (e.g., total volume, route count, fee revenue, average slippage, gas savings, wallet activity).
• Develop and maintain Tableau dashboards and automated reporting for the leadership team.
• Collaborate with product and growth teams to design campaign and feature-specific analytics (Protected Swaps, Multi-Token Swaps, etc.).
• Integrate and analyze loyalty program data — wallet tiers, reward distribution, retention, and ROI.
• Work with marketing and growth teams to attribute traffic and measure referral or loyalty campaigns.
• Partner with backend engineers on event schemas and pipeline performance.
• Support finance and ops with data exports for audits, investors, and DAO reporting.

Data & BI Engineer

• Lead Technical Business Intelligence (BI) Analyst is responsible for individually contributing to and leading teams in the provision of technical expertise in one or more analytics toolsets
• Work with customers from clinical, administrative and/or operational areas across the System
• Provide analytical tools that drive insights, complex data extracts and integration, reports and advanced dashboard visualizations
• Develop and enhance existing metrics to analyze ongoing performance metrics
• Lead initiatives to work with customers and Analytics Team members to understand the problems being solved
• Procure and integrate the disparate data sources necessary to analyze needs appropriately
• Troubleshoot complex technical problems and serve in a lead technical advisory role to other BI Analysts
• Lead projects to analyze and integrate disparate data sources to ETL into an EDW

Lead Technical Business Intelligence Analyst

• Develop and maintain Looker reports, dashboards, and explores using LookML
• Write performant SQL queries against BigQuery and other GCP data sources
• Troubleshoot and optimize existing Looker legacy queries/dashboards for performance and accuracy
• Collaborate with Professional Services team members to understand reporting requirements and translate them into scalable BI solutions
• Build and document reusable LookML models, views, and dimensions
• Develop reports around SEO metrics including keyword rankings, share of voice, impressions, clicks, and site health signals
• Developing and support in maintaining existing documentation on Looker reports and dashboards
• Participate in requirements gathering sessions with internal stakeholders
• Maintain data quality standards and ensure consistency across reporting assets

Business Intelligence Analyst

• 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

• 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

• Material Creation: Design and produce comprehensive training and enablement materials, including technical documentation, video walkthroughs, and step-by-step 'How-To' guides.
• Evergreen Process: Develop and manage a lifecycle process to ensure all training materials remain accurate and up-to-date as the migration evolves and new features are released.
• Curriculum Leadership: Lead structured training sessions for different cohorts, ranging from executive stakeholders to power users and data analysts.
• Technical Coaching: Act as a subject matter expert to teach internal resources about data and BI best practices. This includes practical instruction on data modeling, relationship logic (how data joins work), and efficient query structures.
• Product Analyst Lens: Evaluate user needs to determine how the new BI platform can best solve specific business problems, providing proactive recommendations on data structure and visualization.
• Office Hours: Lead regular 'Office Hours' sessions to provide a forum for customers to ask questions, troubleshoot specific reporting challenges, and receive live coaching.
• Informational Sessions: Conduct webinars and informational workshops for customers to showcase the benefits of the modern stack and provide updates on the migration roadmap.
• Feedback Loop: Collect and synthesize user feedback to share with the Data Engineering and Product teams to influence the future state of our analytics tools.

Senior Business Intelligence Analyst, Training & Enablement

• define and track key success metrics across the Preferred Seller journey to measure performance and identify growth opportunities
• own core business reporting, dashboards, forecasts, and reviews to inform stakeholders
• lead A/B tests, pilots, and experiments to evaluate performance
• use data to uncover trends and optimize seller conversion, sales performance, and operational efficiency
• partner with leaders across departments for actionable analysis and recommendations
• work with Engineering, Data, and business stakeholders to build scalable datasets and solutions
• design clear analyses and visualizations for internal teams to understand performance
• provide thought leadership and mentor junior analysts

Senior Business Intelligence Analyst, Strategy & Insights

• Develop, maintain, and improve Tableau dashboards surrounding critical Sales and Marketing operations
• Translate evolving business requirements into intuitive, scalable reporting solutions
• Build reporting across key commercial KPIs including revenue performance, pipeline, customer acquisition, campaign effectiveness, retentions, etc.
• Serve as frontline support for BI tools — troubleshoot issues, answer user questions, and prioritize enhancements
• Identify gaps or opportunities in reporting and recommend improvements
• Conduct stakeholder training and create documentation to increase adoption and data literacy
• Partner with Data Warehousing team to ensure reliable, well-modeled data sources
• Collaborate with Data Scientists to operationalize analytical models into production dashboards
• Support high-priority, cross-functional initiatives requiring rapid analytical turnaround

See all jobs on JobTailor

Business Intelligence Analyst III

Senior Business Intelligence Engineer

Senior Business Intelligence Analyst

Senior Analytics Business Intelligence Engineer

Senior Business Intelligence Engineer

Business Intelligence Engineer – Medicaid

Power BI Analyst II

Principal Business Intelligence Engineer

BI Analyst – Data Governance

Senior Business Intelligence Analyst

Business Intelligence Analyst – Mid-Level

Principal Business Intelligence Engineer

Data & BI Engineer

Lead Technical Business Intelligence Analyst

Business Intelligence Analyst

Senior Business Intelligence Analyst

BI Analyst, Data Governance

Senior Business Intelligence Analyst, Training & Enablement

Senior Business Intelligence Analyst, Strategy & Insights

Business Intelligence Analyst