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Business Intelligence Analysts

15-2051.01 Bright Outlook $158K
8+5
postings · Bachelor's
Career stage: All Intern (37) Entry-level (30) Mid-level (464) Senior (384) Manager (158) Director (57)
Education: All Associate's (5) Bachelor's (104) Master's (70) Doctorate (7)
What do these filters mean?
Career stage is read from the job title. Use it to find jobs aimed at where you are right now:
  • Intern You can apply while still in school.
  • Entry-level Designed for new graduates.
  • Mid-level Typically expects internship or 2-3 years of experience.
  • Senior Established career role — usually 5+ years experience.
  • Manager Leads a team of engineers, not an early-career role.
  • Director Executive role — typically 10+ years of career experience.
Education is the highest degree the posting explicitly mentions. Postings that don't say are not filtered out — they appear under "All".
Manager, Business Intelligence
Humana · Boise, ID
Manager Bachelor's
2026-05-16
Requirements
  • Minimum 5 years of technical experience in data analysis
  • Minimum 3 years of experience in SQL development
  • Advanced experience working with big and complex data sets within large organizations
  • Hands-on experience working with Databricks
  • Healthcare knowledge within the Medicare/Medicaid space
  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
  • Proficiency in understanding Healthcare related data
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
  • Must be able to accommodate business hours according to Eastern Standard Time
  • Experience in building and maintaining visualization suites that support a wide array of business customers
  • Demonstrated experience in developing and mentoring junior staff members
  • Maintain availability outside standard business hours based on business need
Preferred
  • Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
  • Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
  • Experience analyzing Medicare Enrollment and Membership data including 834 file processing
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience creating analytics solutions for various healthcare sectors
  • Experience in cloud computing (Azure preferred)
  • Experience managing workloads via Azure DevOps
  • Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
  • Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
  • Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
  • *Additional Information
View full posting on CareerOneStop → ID: 634b860d5abd
Manager, Business Intelligence
Humana · Salem, OR
Manager Bachelor's
2026-05-16
Requirements
  • Minimum 5 years of technical experience in data analysis
  • Minimum 3 years of experience in SQL development
  • Advanced experience working with big and complex data sets within large organizations
  • Hands-on experience working with Databricks
  • Healthcare knowledge within the Medicare/Medicaid space
  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
  • Proficiency in understanding Healthcare related data
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
  • Must be able to accommodate business hours according to Eastern Standard Time
  • Experience in building and maintaining visualization suites that support a wide array of business customers
  • Demonstrated experience in developing and mentoring junior staff members
  • Maintain availability outside standard business hours based on business need
Preferred
  • Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
  • Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
  • Experience analyzing Medicare Enrollment and Membership data including 834 file processing
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience creating analytics solutions for various healthcare sectors
  • Experience in cloud computing (Azure preferred)
  • Experience managing workloads via Azure DevOps
  • Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
  • Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
  • Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
  • *Additional Information
View full posting on CareerOneStop → ID: 3590ab034c56
Senior Product Manager - Technical, Quick Sight - Structured Data Analytics
Amazon · Seattle, WA
Manager Bachelor's
2026-05-16
Requirements
  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred
  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools
Responsibilities
  • Drive product delivery in deep partnership with engineering, applied science, and design. Drive product specifications, make crisp tradeoff decisions, and ensure high bar on the quality and user experience
  • Be hands-on with the technology. Whether that means understanding how a semantic model resolves a natural language query, how an embedded analytics SDK integrates into a partner's React app, or how a pricing SKU flows through AWS billing - you operate at the level of detail where real product decisions are made.
  • Own the customer journey from first contact through enterprise-wide adoption for critical engagement. Partner with GTM and Sales teams to design onboarding pathways, migration playbooks, and growth motions that reduce friction, accelerate time-to-value, and turn successful deployments into organization-wide productivity gains.
  • Engage directly with enterprise customers, ISV partners, and AWS field teams. Turn what you hear into product conviction - not just feature requests, but insight into where the market is moving and what customers will need before they know to ask for it.
  • Directly contribute to business outcomes - adoption, revenue, competitive win rates, customer retention. Use data relentlessly to prioritize, to make the case for investment, and to communicate progress to senior leadership.
View full posting on CareerOneStop → ID: 9d8d4612075c
Manager, Business Intelligence
Humana · Olympia, WA
Manager Bachelor's
2026-05-16
Requirements
  • Minimum 5 years of technical experience in data analysis
  • Minimum 3 years of experience in SQL development
  • Advanced experience working with big and complex data sets within large organizations
  • Hands-on experience working with Databricks
  • Healthcare knowledge within the Medicare/Medicaid space
  • Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
  • Proficiency in understanding Healthcare related data
  • Proficiency in verbal/written communication to senior and executive leadership
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
  • Must be able to accommodate business hours according to Eastern Standard Time
  • Experience in building and maintaining visualization suites that support a wide array of business customers
  • Demonstrated experience in developing and mentoring junior staff members
  • Maintain availability outside standard business hours based on business need
Preferred
  • Bachelor's Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or related field
  • Minimum 2 years of leadership experience (team(s) up to 10 people) managing direct reports
  • Experience analyzing Medicare Enrollment and Membership data including 834 file processing
  • Experience with tools such as Power BI for creating data visualizations
  • Expertise in data mining, forecasting, simulation, and/or predictive modeling
  • Experience creating analytics solutions for various healthcare sectors
  • Experience in cloud computing (Azure preferred)
  • Experience managing workloads via Azure DevOps
  • Professional experience with Azure DevOps, GIT, NuGet, CI/CD processes and Agile methodologies
  • Hands on experience working with agile/scrum methodologies including user story grooming, sprint planning etc. to deliver high quality software solutions improving team velocity and speed to market
  • Experience with Data Warehousing (Azure/SQL/Synapse) and ETL (Azure Data Factory/SSIS)
  • *Additional Information
View full posting on CareerOneStop → ID: 9f5132710d77
Staff Product Manager, Real Time Data Analytics Platform
Confluent · Olympia, WA
Manager Bachelor's
2026-05-06
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 8+ years of experience in product management or related technical roles.
  • 5+ years of experience taking technical infrastructure or data products from conception to launch.
  • Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering.
  • Experience defining and launching products in the data infrastructure, analytics database, or stream processing space.
  • Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization.
  • Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership.
  • *What Gives You an Edge:
  • Engineering background in analytical databases, stream processing, or distributed storage systems.
  • Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user.
  • Familiarity with Kafka, Flink, or similar streaming infrastructure.
  • Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery.
  • Prior experience with cloud-native infrastructure products and consumption-based pricing models.
  • Experience working on open source data infrastructure projects.
  • *Ready to build what's next? Let's get in motion.
  • *Come As You Are
  • Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
Responsibilities
  • Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation.
  • As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it.
  • This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases.
  • *What You Will Do:
  • Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience.
  • Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative.
  • Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics.
  • Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale.
  • Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it.
  • Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning.
  • Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud.
  • Define success metrics, cost models, and pricing strategy for a new product area.
  • Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership.
View full posting on CareerOneStop → ID: 6086bd0df0e4
Technical Program Manager III, Data Analytics, Cloud Networking
Google · Kirkland, WA
Manager Bachelor's
2026-05-05
Requirements
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with data analytics, reporting, and scripting using SQL.
  • Experience with dashboards or data visualization platforms.
Preferred
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in data centers, network infrastructure, including optical transport, dark and leased fiber, cross-connects, etc.
  • Experience in vendor management in the telecommunications/network industry.
  • Excellent stakeholder management, with the ability to influence at all levels of the organization.
Responsibilities
  • A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
  • Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
  • The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
  • Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
  • Prioritize program goals, understand and translate other stakeholders' needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
  • Define the scope of projects and develop, execute, and/or manage project plans for supported program(s).
  • Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
  • Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
  • Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
View full posting on CareerOneStop → ID: 94b5a359a911
Data Analytics Manager- Data Lake
Deloitte · Seattle, WA
Manager Bachelor's
2026-04-29
Requirements
  • 6+ years of relevant analytics consulting or industry experience
  • 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
  • 4+ years of experience in statistical analysis, machine learning, and data mining techniques
  • 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
  • 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 2+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
  • Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred
  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
View full posting on CareerOneStop → ID: b6368c231586
Manager Data Analytics
Serco · Olympia, WA
Manager Bachelor's
2026-04-29
Requirements
  • At Serco, we deliver mission-critical services and technology solutions that enable our government customers to operate more effectively, securely, and efficiently. We support complex federal missions across defense, civilian, and intelligence domains by combining deep domain expertise with modern digital, data, and cloud capabilities. Our teams are trusted partners to our customers, committed to technical excellence, innovation, and disciplined execution in highly regulated environments.
  • We are seeking a Data Analytics Manager. This role will be responsible for building, managing, and enabling high-performing data analytics teams that deliver solutions employing data management, operations research, machine learning, statistics, business intelligence, and low-code automation for internal initiatives and government contracts.
  • *This position is contingent upon your ability to obtain/maintain a Secret security clearance
  • *In this role, you will:
  • Perform advanced analysis and develop tools to advance digital transformation efforts.
  • Use and mentor others in methods of data management, operations research, machine learning, statistics, business intelligence, and low-code automation (e.g., Power Platform)
  • Partner with program managers, data scientists, data engineers, cybersecurity staff, and customer stakeholders to translate mission and business requirements into robust technical data solutions.
  • Support capture and proposal efforts by defining analytics approaches, estimating level of effort, and articulating technical solutions for government solicitations.
  • Identify opportunities to insert automation, digital tools, and data visualization to help customers make data-driven decisions.
  • Provide technical leadership and risk management across multiple programs, ensuring consistent, repeatable delivery of data analytics capabilities.
  • *To be successful in this role, you will have:
  • U.S Citizenship
  • An active Secret Security Clearance, or the ability to obtain one
  • Bachelor's degree in computer science, engineering, information systems, operations research, data science, or a related technical discipline
  • Additional 10 years of experience may be substituted for a STEM degree
  • Minimum of 5 years of progressive experience in data analytics, data science, operations research, or closely related roles, including 2 years in a technical leadership or management capacity
  • Hands-on experience with data analytics and automation technologies such Python, R, SQL, Power Platform (Power Apps, Power Automate), and business intelligence tools (e.g., Power BI)
  • Working knowledge of artificial intelligence concepts and their relationship to data analytics, including where AI can augment analysis, automation, and decision-making, as well as limitations, risks, and ethical considerations
  • Knowledge of use cases and developing models that include the use of probability, statistics, simulation, optimization, machine learning, and heuristics
  • Knowledge of various data management frameworks, principles, and best practices
  • Knowledge of data management maturity assessment processes and implementation
  • Strong leadership, communication, and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences
  • Experience deploying solutions in government or highly regulated environments, with an understanding of compliance, documentation, and operational rigor expectations
  • Ability to travel up to 10%
Preferred
  • Experience contributing to technical proposals, white papers, or solution architectures for government customers
  • Security + certification or other cyber certification/experience
  • If you are interested in supporting and working with our military leaders and a passionate Serco team- then submit your application now for immediate consideration. It only takes a few minutes and could change your career!
View full posting on CareerOneStop → ID: b393ca21667a

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Manager - Data Science / Data Lake Deloitte · Seattle, WA Manager Bachelor's 2026-05-29
Requirements
  • 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
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Source: CareerOneStop (U.S. DOL) · Search more jobs