Business Intelligence Developer

• The Business Intelligence Analyst plays a critical role in bridging the gap between business needs and technical solutions.
• Elicit, analyze, document, and validate business requirements through interviews, workshops, and existing documentation.
• Extract, transform, and load (ETL) data from various sources, including Salesforce.
• Customize and configure Salesforce to meet specific business needs.
• Serve as a liaison between business users and technical teams.
• Lead process improvement or regular (annual) business processes.

Business Intelligence Analyst

• Proactively drive monetization strategy, yield optimization, and operational excellence across T-Mobile’s owned and operated (O&O) and third-party advertising inventory.
• Blend expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities.
• Take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups.
• Identify risks and opportunities before they impact results.
• Oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile’s continued growth as a premier advertising platform.
• Support analytic needs by utilizing data from ad servers, SSPs, and demand partners.
• Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms.
• Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health.
• Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership.
• Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends and document operational insights.
• Conduct ongoing research on industry trends and media to support business intelligence activities.
• Build pricing models for O&O (owned and operated) and third-party inventory.
• Design and implement SSP experiments to maximize yield, revenue, and inventory health.

• 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

• Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
• Build custom data visualizations and interactive analytical applications using web frameworks (e.g., Streamlit, Flask, Dash, or similar) to deliver experiences beyond what standard BI tools provide
• Develop automation solutions to integrate disparate systems and automate otherwise manual workload
• Create analytical data models that support standardized metrics tied to production rate ramp and supply chain performance
• Collaborate with supply chain leaders, production control, and program management to identify and build metrics that enable leaders to lead their teams
• Build strategic reporting solutions for leadership to support Weekly Business Reviews (WBR) and Monthly Business Reviews (MBR)
• Work with partners and domain specialists to generate reporting, application, and integration requirements
• Use AI coding assistants to accelerate development, and critically review and refine all outputs before shipping to production
• Provide business analysis and technical expertise to internal and external partners
• Maintain day-to-day workflow and communication with a variety of partners across the company

Senior Business Intelligence Engineer

• 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

• Attend and participate in meetings with client stakeholders
• Build interactive reports and dashboard using the Microsoft BI technologies including Power BI and SSAS, as well as Oracle 19c – strong focus on Power Apps and Power Automate
• Develop reports and business models using Power BI (including DAX language)
• Experience with Microsoft Azure platform and service (Power BI, Azure SQL Data Warehouse, Azure Synapse, Azure Data Factory)
• Experience with SQL and RDBMS data structures in a reporting context
• Assist business users on functional and data requirements to enhance reports and report data
• Experience in requirement analysis, design, and prototyping
• Strong understanding of Data Analytics application security layer models
• Experience with Enterprise Resource Planning (ERP) or Federal Financial Management solutions

Power BI Developer

• 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

• 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

• Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
• Build custom data visualizations and interactive analytical applications using web frameworks to deliver experiences beyond what standard BI tools provide
• Develop automation solutions to integrate disparate systems and automate otherwise manual workload
• Create analytical data models that support standardized metrics tied to production rate ramp and supply chain performance
• Collaborate with supply chain leaders, production control, and program management to identify and build metrics that enable leaders to lead their teams
• Build strategic reporting solutions for leadership to support Weekly Business Reviews and Monthly Business Reviews
• Work with partners and domain specialists to generate reporting, application, and integration requirements
• Use AI coding assistants to accelerate development, and critically review and refine all outputs before shipping to production
• Provide business analysis and technical expertise to internal and external partners
• Maintain day-to-day workflow and communication with a variety of partners across the company

Business Intelligence Engineer III

• 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 visually pleasing and accurate data visualizations, reports, and dashboards for federal government customer
• Collaborate as part of a team in the advanced development of rich data visualizations using Microsoft Power BI
• Interact with stakeholders to elicit requirements in an agile and iterative environment
• Design and develop Power BI reports and dashboards, using industry best practices and standards
• Identify, analyze, and translate business requirements and rules into intuitive analytical solutions, business scorecards, and management dashboards
• Work with stakeholders to easily visualize data from multiple sources in a single platform to aid in the design and development of complex business solutions
• Provide operational support for existing Power BI dashboards and reports
• Understand reporting database models and schemas and perform data analysis
• Connect to various data sources to import and transform data into Power BI
• Participate in large projects to migrate Tableau reports/dashboards into Power BI
• Collaborate in solutioning efforts in the Power BI environment addressing problems, tuning for performance, and diagnosing issues
• Create written and visual data reports and analysis
• Provide end-user training, technical demonstrations, and presentations to stakeholders.

• Act as a technical and strategic leader across cross-functional teams
• Lead the end-to-end design and development of BI solutions: data models, ETL/ELT pipelines, semantic layers, cubes, metrics and visualizations
• Translate business requirements into robust BI architectures, metrics definitions and dashboards that enable insight and action
• Assess existing technology stack and recommend tools, platforms and patterns (cloud/on premises) that best meet performance, scale, security and cost objectives
• Author and enforce best practices for data modeling, data quality, metadata management, naming conventions and version control
• Write, optimize and review complex SQL and other data transformation code to ensure efficient, scalable pipelines
• Build reusable, documented semantic layers / dataset definitions to ensure consistency of business metrics across dashboards and reports
• Mentor and coach BI developers, analysts and data engineers; conduct design reviews and code reviews
• Collaborate with product owners, business stakeholders, data engineers, data scientists and IT for delivery, deployment and operational support
• Establish monitoring, alerting and troubleshooting processes for BI performance and data quality
• Drive continuous improvement: prototype new capabilities, proof-of-concepts and adoption of new BI/analytics trends (embedded analytics, self-service BI, data observability)

• 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

• Build and maintain data models, deploy machine learning models, and visualize data for the Global Supply Chain organization
• Craft and develop scalable reporting, dashboards, and data solutions using SQL, Tableau, and other tools
• Build custom data visualizations and interactive analytical applications using web frameworks (e.g., Streamlit, Flask, Dash, or similar)
• Develop automation solutions to integrate disparate systems and automate manual workloads
• Collaborate with supply chain leaders, production control, and program management to identify and build metrics
• Maintain day-to-day workflow and communication with a variety of partners across the company

• You will support business partners with advanced data insights and serve as a subject matter expert within the organization for all things data related.
• Work closely with our VP of Finance to develop in-depth insights into our user journey including new customer activations and cohort analysis, identifying product success, and customer health and engagement.
• Utilize an advanced understanding of multiple data structures, sources, and tools to guide business decisions, which may include data visualization, business intelligence, or data collection.
• Partner with key stakeholders and business leaders to provide strategic support and recommendations across various teams.
• Build and maintain internal reporting pipelines and dashboards for organization including troubleshooting, development, and access controls.
• Write advanced SQL queries, and system configurations, and manage and execute project plans.
• Conduct training and webinars to enable self-serve analytics for the stakeholders.

Senior BI Analyst

• Design and develop Power BI reports and dashboards that provide meaningful insights and support decision-making
• Conduct deep-dive analyses using Snowflake SQL and BI tools to identify trends, patterns, and actionable insights
• Build, enhance, and maintain interactive Power BI dashboards, ensuring performance, usability, and consistency
• Support ETL processes and data pipelines within Azure to ensure reliable, well-structured data for reporting and analytics
• Work closely with Azure data services, including the data lake, to understand data ingestion, storage, and transformations
• Create and maintain ERDs and data dictionaries to document data structures, relationships, and business definitions
• Serve as an expert in gathering actionable requirements and executing against them in an agile environment
• Support data governance, cataloging, lineage, and metadata management
• Collaborate closely with business stakeholders to gather requirements, understand reporting needs, and translate them into effective data solutions
• Become deeply familiar with all relevant data sources used in projects, including where data is stored, associated data dictionaries, and dependencies
• Investigate and assess existing reports with the ability to convert them into Power BI dashboards or enhance them as needed
• Define and develop metrics to measure operational health and excellence across organizations and initiatives
• Maintain and improve the integrity and reliability of internal and external data sources; collaborate with stakeholders to capture additional data and ensure accuracy and consistency
• Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the impact of implemented strategies
• Effectively communicate insights and recommendations to influence decision-making and drive growth

Contract Power BI Developer

• Design, develop, and maintain analytics applications, interactive dashboards, and embedded visualizations that support Finance decision‑making
• Create reusable visualization components, templates, and style guides to ensure consistency and scalability across analytics products
• Implement performant data queries, caching, and pagination strategies in conjunction with Data Engineers to optimize user experience
• Build integrations with authentication, authorization, and export mechanisms to meet security and compliance needs
• Instrument dashboards and apps with logging, usage metrics, and alerts to monitor adoption, performance, and data quality issues
• Mentor peers on visualization best practices, accessibility, and effective storytelling with data
• Collaborate closely with Data Engineering, Security, and Compliance to ensure analytics solutions meet scalability, reliability, and governance standards

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