Business Intelligence Developer Remote Jobs in Michigan (US)
This page tracks remote business intelligence developer openings that are location-eligible for Michigan.
This page tracks remote business intelligence developer openings that are location-eligible for Michigan.
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384 Jobs
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Role Description Science Systems and Applications, Inc. (SSAI) is seeking a senior BI Developer / Data Engineering professional to support enterprise data initiatives for a public sector education client. The selected candidate will design, automate, support, and improve data extraction, transformation, loading, data warehouse, and data lake solutions. This position is Onshore / Remote and requires availability during Pacific Time business hours. This role is ideal for a senior data professional with deep experience in: - Oracle - dbt - ETL/ELT - Data ingestion - Dimensional modeling - Cloud data integration - Data quality validation - Git/CI-CD deployment practices The work supports large-scale enterprise data management and reporting needs across business customers, vendors, and internal technical teams. Key Responsibilities: - Design, automate, support, and enhance sophisticated data extraction, transformation, and loading applications. - Develop and support Oracle database batch applications within data warehouse and data lake environments. - Ingest data from heterogeneous sources into on-premises or cloud data storage platforms, including environments such as Snowflake, AWS, and related cloud data services. - Build and manage ETL/ELT workflows using dbt, Oracle Data Integrator (ODI), Oracle PL/SQL, Oracle SQL, and shell scripting. - Develop dimensional hierarchies and data models to support enterprise data management reports and analytics needs. - Create and improve data solutions that support smooth, reliable data delivery across large volumes of data. - Perform data quality validation, write dbt tests, and help resolve data integrity or reporting issues. - Support API development frameworks and cloud-native data integration technologies as needed. - Support data lake migration from on-premises systems to cloud platforms. - Build incremental models, manage raw data layers, and develop modular dbt models for vendor/application data. - Convert complex Oracle stored procedures into maintainable dbt models using macros, hooks, incremental models, and modular design practices. - Use Git workflows, branching strategies, and CI/CD pipelines to support automated deployment of data solutions. - Collaborate with business customers, vendors, and internal resources to clarify requirements, resolve issues, and support successful delivery. - Provide weekly status updates and maintain required project/time reporting. Qualifications - 10+ years of demonstrated experience in BI development, data engineering, ETL/ELT, data warehouse, data lake, enterprise data management, or closely related services. - Strong knowledge of Oracle database development for batch applications in data warehouse or data lake environments. - Hands-on experience with data ingestion from multiple heterogeneous sources into on-premises and/or cloud data platforms. - Experience using dbt, ODI, Oracle PL/SQL, Oracle SQL, and shell scripting to manage ETL/ELT processes. - Experience developing dimensional hierarchies and data models for enterprise reporting. - Experience creating, maintaining, processing, and analyzing large data volumes. - Experience with data quality validation, reconciliation, and testing. - Knowledge or hands-on experience with API development frameworks. - Knowledge or hands-on experience with cloud-native data integration technologies. - Experience supporting data lake migration from on-premises systems to cloud platforms. - 3+ years of experience building incremental models, handling raw data layers, and building dbt models for vendor/application data. - Proficiency in dbt development, including macros, hooks, incremental models, data quality tests, and model security. - Experience converting complex Oracle stored procedures into modular dbt models. - Expert-level knowledge of Git workflows, branching strategies, and CI/CD pipelines for automated deployment. - Strong communication skills and ability to work with business stakeholders, vendors, and technical teams. Desired Qualifications - Previous experience working on LAUSD Data Lake systems or similar large education/public-sector data platforms. - Hands-on experience with Snowflake, AWS, or other cloud data platforms. - Experience with Oracle Data Integrator (ODI) in enterprise environments. - Experience modernizing legacy Oracle/PL SQL data processes into dbt-based models. - Experience supporting cloud data migration, data validation, and data reconciliation activities. - Experience working with vendor/application datasets and enterprise reporting requirements. - Strong technical problem solver with deep Oracle, dbt, ETL/ELT, data warehouse, and data lake experience. - Experience in Agile, DevOps, or CI/CD-enabled data delivery environments. Physical Requirements - Regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. - Frequently required to talk and hear. - Occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. - Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. - Specific vision abilities required include close vision, peripheral vision, depth perception, and the ability to adjust focus.
Reimagining real estate to make it easier than ever to move from one home to the next.
Role Description As a Principal Business Intelligence Engineer, you will shape the practice itself, defining how BI and analytics engineering scales across the company and how our data infrastructure evolves to meet the demands of AI-powered analytics. You will build a deep understanding of our mission, business model, and customers to identify opportunities to simplify processes, improve alignment, and strengthen our metrics platform. You will design semantic layer architecture that enables consistent, trusted data across BI, data science, and AI tools, while leading cross-organizational initiatives and influencing tooling and infrastructure decisions. This role requires deep technical expertise, strategic vision, and strong influence across teams. You Will Get To - 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. Qualifications - 8+ years of professional experience in analytics engineering, data engineering, visualization, or a related technical data role. - Experience shipping customer facing, production grade reporting on time and accurately every day. - Expert-level SQL and data modeling skills with experience designing data architectures that span multiple business domains. - Excellent communication and partner management skills, with a consistent ability to gain alignment and influence across product development, engineering, analytics, finance, sales and operations. - Deep experience with semantic layer design, metrics-as-code patterns, and data governance at organizational scale. - Strong understanding of how AI systems, conversational analytics tools, and machine learning workflows consume structured data. - Experience evaluating and adopting analytics engineering tooling at the organizational level (dbt, Databricks, Snowflake, or similar). Requirements - This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. - In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $168,600.00 - $269,400.00 annually. - In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $160,200.00 - $256,000.00 annually. - In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. - Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Benefits - Competitive base salary. - Equity awards based on factors such as experience, performance and location. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Zillow is honored to be recognized among the best workplaces in the country.
Louisville, Kentucky-based Humana is a leading healthcare company that offers a variety of health, wellness, and insurance products and services designed to off
Role Description Become a part of our caring community. The Risk Adjustment organization seeks to set the gold standard for insights and care, empowering people to live healthier lives. The Provider Programs Organization contributes to this vision through a portfolio of Humana-developed and vended in-office programs designed to enhance member outcomes and provider experience. The Senior Business Intelligence Engineer owns the reporting capabilities for Provider Programs related to these portfolio offerings. The Senior Business Intelligence Engineer would evaluate the existing capabilities and own the transformation in uniformity and structure into the future. The Senior Business Intelligence Engineer helps solve complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer determines the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data to create insightful and actionable business information. - Design, develop, and implement scalable Power BI solutions, including dashboards, reports, and data models, to meet business requirements. - Collaborate with business stakeholders, data analysts, and IT teams to gather requirements and translate them into effective Power BI visualizations. - Build and maintain robust data models using Power BI, ensuring data accuracy, consistency, and performance optimization. - Integrate data from multiple sources, such as SQL databases, Excel, and cloud platforms, and transform data using Power Query and DAX. - Develop, test, and deploy Power BI reports and dashboards, ensuring they adhere to organizational standards and best practices. - Monitor and troubleshoot Power BI solutions to address issues related to data refresh, performance, and user access. - Maintain documentation for developed solutions, including data models, workflows, and user guides. - Provide training and support to end-users to maximize adoption and effective use of Power BI tools. - Ensure compliance with data governance, security, and privacy policies throughout all BI activities. - Continuously evaluate and implement new features and enhancements within Power BI, staying current with platform updates. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience. - Minimum of 2 years of hands-on experience developing Power BI dashboards, reports, and data models. - Proficiency in Power BI, including data modeling, DAX, Power Query, and report design. - Experience integrating data from diverse sources (e.g., SQL Server, Excel, cloud platforms). - Strong understanding of data visualization best practices and BI solution lifecycle. - Proven ability to translate business requirements into technical solutions. - Experience with troubleshooting Power BI performance and data refresh issues. - Familiarity with data governance, security, and privacy standards. - Demonstrated ability to articulate ideas effectively in both written and oral forms. - Ability to collaborate with cross-functional teams and support end-users. Requirements - Master’s degree in a relevant discipline. - Minimum of 4 years of hands-on experience developing Power BI dashboards, reports, and data models. - Experience with advanced Power BI features (e.g., Row-Level Security, Power BI Service administration). - Familiarity with other BI and analytics tools (e.g., Databricks, SSRS, Azure Synapse). - Knowledge of scripting languages such as Python or R. - Experience with Agile or Scrum project methodologies. - Microsoft Power BI certification (e.g., DA-100, PL-300). - Prior experience in healthcare or regulated industries. Benefits - Competitive benefits that support whole-person well-being. - Medical, dental and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance. - Many other opportunities. Company Description Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.
The Operating System for Automated Hiring
Role Description We are looking for a construction workforce researcher, academic leader, labor economist, or industry expert to join AlphaHire’s Academic & Research Advisory Council focused on construction labor intelligence, workforce forecasting, and operational market analysis. This is a fully remote opportunity, with optional onsite visits to client headquarters as desired. AlphaHire is building a construction workforce intelligence platform designed to help contractors, developers, and construction executives better understand labor scarcity, compensation acceleration, hiring pressure, and operational risk across the construction industry. The Academic & Research Council serves as a strategic layer that helps guide methodologies, validate workforce interpretation frameworks, improve dashboard structures, and contribute to industry research initiatives. This advisory seat is intended for professionals who want to influence how labor market intelligence is measured, interpreted, and communicated within the built environment sector. - Provide strategic guidance on workforce intelligence methodologies, labor market interpretation frameworks, and construction workforce measurement systems - Contribute feedback on labor dashboards, compensation indexes, hiring pressure models, and workforce forecasting structures - Support the development of research papers, whitepapers, executive briefings, and workforce intelligence publications - Participate in periodic advisory discussions focused on labor scarcity, operational workforce pressure, and construction market trends - Help validate the operational interpretation of workforce signals and regional labor market data - Advise on statistical modeling, benchmarking frameworks, and longitudinal workforce analysis initiatives - Assist AlphaHire in improving the academic rigor and credibility of its labor intelligence ecosystem - Collaborate with executive advisors and industry operators to bridge workforce research with real-world construction execution challenges - Provide thought leadership around workforce development, labor economics, operational planning, and construction industry transformation Qualifications - 10+ years of experience in construction management education, labor economics, workforce research, operations research, or related fields - Experience conducting workforce studies, labor analysis, market research, or operational intelligence initiatives - Strong understanding of construction labor markets, workforce planning, compensation dynamics, or operational workforce challenges - Experience with data interpretation, research methodologies, forecasting models, or workforce analytics preferred - Prior publication, speaking, advisory, or institutional research experience strongly preferred - Ability to contribute strategic insight rather than purely theoretical commentary - Experience collaborating with industry stakeholders, executive teams, or operational leadership groups preferred - Construction-industry exposure is strongly preferred; unrelated academic backgrounds may not align with the council’s objectives Requirements - Compensation: Advisory participation structure will vary based on experience, involvement level, and strategic contribution. Benefits - Participation in executive workforce intelligence initiatives - Collaboration on industry research and publications - Speaking and thought leadership opportunities - Direct engagement with construction industry operators and leadership teams - Access to select retained search assignments - Strategic advisory opportunities - Executive introductions - Participation in workforce intelligence discussions tied to active construction market expansion and hiring initiatives
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
Role Description Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 130 Business Intelligence and Visual Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics. This course will focus on storytelling with data, visual perception, and AI-enhanced dashboarding. Students create executive-ready reports using BI platforms. Core Course Responsibilities Summary - Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms. - Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation. - Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe. - Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term. Qualifications - Advanced degree (Master's or Ph.D) in Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field. - Experience using BI and visual analytics tools in industry or consulting contexts. - Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions. - At least 1 year of teaching or training experience (preferably online/asynchronous). - Experience with online instruction. - Excellent communication and teaching skills in an online learning environment. Requirements - Prior online teaching experience at the graduate level (preferred). - Knowledge of global learner personas and culturally responsive pedagogy (preferred). - Familiarity with Moodle LMS and digital authoring tools (e.g., H5P) (preferred). Benefits - Compensation for this position is: $6573.15. Application Process - Interested candidates should submit a cover letter highlighting relevant qualifications and teaching experience. - A current CV or resume. - Contact information for three professional references. - Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
PrizePicks is a sports betting company offering a fantasy platform where users can select players and teams to place bets on. With the mission of becoming the most loved fan engage
• Build & maintain marketing performance dashboards and reports • Automate recurring reporting & operational workflows to reduce manual effort and improve accuracy • Support the management and QA for marketing data pipelines across paid channels • Monitor day-to-day performance across acquisition channels, surfacing insights to marketing team stakeholders • Support channel leaders in implementing incrementality tests and strategies • Conduct deep-dive analyses to support media buying decisions with data-driven insights and recommendations
Trinity Health is a multi-institutional healthcare network that serves over 30 million people with compassionate healing services. The health system was formed through the 2013 mer
Title: (REMOTE) Revenue Cycle - Sr Business Intelligence Developer Location: Livonia, MI United States Job Description: Employment Type: Full time Shift: Description: Position is remote/work from home based. ESSENTIAL FUNCTIONS Knows, understands, incorporates, and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices, and decisions. Designs and implements reporting applications including, but not limited to, BI dashboards, reporting cubes, emails, and batch reports. Works with project lead, business users and analysts to gather requirements, conduct design sessions and prepare specifications. Translates project requirements into functional and technical specifications for BI reports, dashboards and analytical applications. Develops, implements and maintains test strategies and plans. Contributes to and supports the organization's short and long term Business Intelligence strategy. Provides production support for Business Intelligence (BI) capabilities. Mentors, assists and trains other BI Developers, Data Analysts and power users as appropriate. Leads peer reviews of solution designs and related code reviews. Works with end users on specific questions regarding appropriate use of the BI tools and data. Manages the scope of the deliverables within the release timeframe, optimize programmer resources and fulfill obligations outlined in project plans or Service Level Agreements (SLAs) to deliver a defined release package. Manages dependencies and identifies efficiencies to package project deliverables into viable business capabilities/releases. Coordinates with revenue cycle colleagues to provide requirements to ensure necessary infrastructure and desktop configurations to run end user tools. Determines feasibility of integrating end user tools and upgrades with existing and future infrastructure along with Operations staff. Understands and provides input to the strategic objectives of the RC Data Analytics team with respect to end user tools and follow the standard vendor selection/evaluation processes when evaluating and making recommendations along with the Solutions Architect. Reinforces and assists defining the vision and direction of the RC Data Analytics team. Initiates opportunities to learn and grow. Handle multiple demands, shifting priorities, crises and rapid change. Cultivates working relationships within the RC Data Analytics team and with the PBSs and RHMs that are positive, professional and collaborative. Knows, understands, incorporate and demonstrates the Trinity Health Mission, Vision and Values in leadership behaviors, practices and decisions. Maintains a working knowledge of applicable Federal, State and local laws/regulations; the Trinity Health Integrity and Compliance Program and Code of Conduct; as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical and professional behavior. Performs other duties as assigned. MINIMUM QUALIFICATIONS Bachelor's degree in healthcare or information technology or an equivalent combination of education and experience. Minimum of seven (7) years of experience in Information Technology of which five (5) years' experience working as BI developer in a large data warehouse and business intelligence environment. Minimum of five (5) years of experience working with BI technologies such as Business Objects, Cognos, Qlikview, Tableau. Minimum of five (5) years of experience writing and tuning advance SQL. Demonstrated mastery and experience in creation and maintenance of Business Intelligence (BI) tool suites, including: - Functional and technical knowledge of supported enterprise data delivery tools - Evaluating, implementing, and deploying self-service BI tools - Report design and delivery - Dashboards, metrics, analytics, and objects - Rules Engines - Testing and implementing tool upgrades - Monitoring tool usage statistics - SPSS statistics calculations and integration Demonstrated knowledge of healthcare nomenclature preferred. Expertise in different data modeling methodologies (e.g., 3NF). Strong proficiency in leading technical projects, assignments and analysis. Interfaces with director level and staff positions. Experience working with multiple healthcare business disciplines including Operations, Finance, Revenue Cycle and Administration. Excellent organization, analytical, interpersonal, written and verbal communication skills. Ability to work in teams and in a self-directed work environment. Must be comfortable operating in a collaborative, shared leadership environment. A personal presence, which is characterized by a sense of honesty, integrity and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals and values of Trinity Health. PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS This position operates in a typical office environment. The area is well-lit, temperature-controlled and free from hazards. Incumbent communicates frequently, in person and over the telephone, with people in a number of different locations on technical issues. Manual dexterity is needed in order to operate a keyboard. Hearing is needed for extensive telephone and in person communications. The environment in which the incumbent will work requires the ability to concentrate, meet deadlines, work on several projects at the same period and adapt to interruptions. The incumbent must be capable of traveling in the course of completing project assignments. Ability to meet established deadlines. This position operates in a typical office environment. The area is well lit, temperature controlled and free from hazards. Hourly pay ranges: $47.23 - $70.85 The above statements are intended to describe the general nature and level of work being performed by persons assigned to this classification. They are not to be construed as an exhaustive list of duties so assigned Our Commitment Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.
• The UiPath Developer / Power BI Developer will support the J62LB Enterprise Testing Office in advancing Enterprise-wide automation, automated testing, Artificial Intelligence (AI), Robotic Process Automation (RPA), and reporting initiatives across enterprise platforms including SAP, Oracle, ServiceNow, and other emerging technologies. • The position is responsible for developing automation solutions, supporting automated testing activities, creating enterprise dashboards and reporting capabilities, and designing Proofs of Concept (PoCs) that improve testing efficiency, operational visibility, and process standardization across the Program Executive Office (PEO). • The successful candidate will support enterprise modernization initiatives through the development of UiPath automations, Power BI dashboards, automated defect tracking solutions, and data-driven reporting capabilities while assisting leadership with technology evaluations, process improvements, and automation strategies.
• This is a remote position. • Develop and maintain Power BI solutions for large-scale enterprise reporting. • Collaborate with teams to integrate Power BI within D365 F&O workspaces. • Perform data extraction, modeling, and visualization using advanced Power BI tools.
• Support analytics requests across multiple business areas (e.g., Product, Sales, Customer Success) • Exploring datasets to identify trends, anomalies, and opportunities - not just fulfill defined reporting requests • Contributing to and learning from the Business Intelligence team’s analytics development ecosystem • Building and maintaining data models and dashboards to support business decision-making
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