Business Intelligence Developer

• 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

• 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

• 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

• 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

• 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

• 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

• Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
• Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution
• Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
• Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
• Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support
• Build, optimize, and support data marts and data warehouse solutions using Snowflake
• Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools
• Proactively identify and implement AI use cases across various business units, leveraging Enova’s AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption
• Advise on best practices, innovative designs, and emerging BI technologies

Senior Business Intelligence Engineer – Hybrid

• Perform advanced data management using Databricks and cloud platforms with SQL and Python for data retrieval, profiling, processing, validation, and migration to centralized cloud environments
• Design interactive Power BI & Tableau dashboards sourcing from cloud databases, published data sources, and external APIs while leveraging modern ETL/ELT processes and Git version control
• Create data visualizations and automated reporting solutions using Python that deliver actionable insights tailored to specific business audiences and use cases
• Serve as primary stakeholder liaison, working directly with end users and clients to understand processes, pain points, and analytical needs while ensuring alignment between technical capabilities and business objectives
• Translate complex business questions into comprehensive data analysis plans, executing independently or collaboratively while proactively identifying optimization opportunities
• Lead initiatives that transform analytical insights into concrete business recommendations and behavioral changes, driving data-driven solutions across the organization
• Validate calculations through peer review, automated testing, and cross-referencing with established metrics while performing quality assessments using Alteryx and cloud-native tools
• Collaborate with governance teams and business data stewards to establish quality standards, remediation processes, monitoring procedures, and resolve critical data issues through comprehensive validation and root cause analysis

BI Analyst

• Conduct advanced data analysis using statistical methods, predictive modeling, and trend forecasting
• Collaborate with stakeholders to deliver actionable insights that align with project goals
• Design and optimize data models using SAP S/4HANA (e.g., CDS Views), Azure Data Lake, and Power BI
• Implement relationships between datasets and define key performance indicators (KPIs) for business analysis
• Create advanced dashboards and interactive visualizations using PowerBI, SAP Analytics Cloud, etc.
• Automate recurring reports and processes to improve efficiency and save time
• Take ownership of smaller BI projects or specific tasks within larger initiatives
• Work closely with business stakeholders to understand their data needs and project objectives

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