Business Intelligence Developer Remote Jobs in Tennessee (US)
This page tracks remote business intelligence developer openings that are location-eligible for Tennessee.
This page tracks remote business intelligence developer openings that are location-eligible for Tennessee.
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421 Jobs
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Launch Potato is on a mission to build and scale digital brands by solving complex problems in product development, engineering, data science, creative, and mor
Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals. - 60 Days in: Bridging business context and data understanding by articulating how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. - 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. - 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. - Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Qualifications - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. - Strong candidates have owned reporting end-to-end, from pipeline to dashboard. - Experience working with messy, complex, third-party data. - Ability to partner closely with business teams to uncover meaningful trends and conduct retrospective analyses. Requirements - Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models. - Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate. - Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session. - Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts. - Curiosity & Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder. Benefits - Base salary: $120,000 to $150,000 per year, paid semi-monthly. - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits. - Performance-driven company with future increases based on company and personal performance, not annual cost of living adjustments.
Launch Potato is on a mission to build and scale digital brands by solving complex problems in product development, engineering, data science, creative, and mor
Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Qualifications - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. - Strong candidates have owned reporting end-to-end, from pipeline to dashboard. - Experience working with messy, complex, third-party data. - Ability to partner closely with business teams to uncover meaningful trends and connect data work to decisions that actually moved the business. Requirements - Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models. - Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate. - Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session. - Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts. - Curiosity & Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder. Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, identifying discrepancies, redundancies, and inconsistencies across existing dashboards, and beginning to develop a roadmap to standardize reporting across your verticals. - 60 Days in: Bridging business context and data understanding by articulating how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. - 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. - 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. - Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Competencies - Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions. - Reporting Ownership: Engages stakeholders to understand how reporting is used before building, creating dashboards that are adopted, not just delivered. - Business Acumen: Invests in understanding the business by asking the right questions before pulling the data. - Communication: Asks enough upfront to ensure the answer lands with the right context for the right audience. - Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view. - Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for. - Curiosity & Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time. Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company. Recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. Connecting 1.1 billion people and 5.4 billion devices across the globe. Clients include Google, Amazon, PayPal, SoftBank, ServiceNow, Ciena, Verizon, Vodafone, and many more. A “Great Place To Work® Certified™” company. Employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Role Description - Perform exploratory data analysis and provide various insights into customer data using domain knowledge that would bring more value to the business. - Leverage predictive analytics and AI/ML techniques to generate actionable insights for customer behavior, operational trends, and churn management. - Study key data from the customer, inventory, network, and trouble management systems and provide recommendations on the solutions that can be built out of the provided dataset. - Build data ingesting pipelines and maintain them in big data ecosystems. - Correlate analysis with real-time data from the customer database using churn data. - Design, build, test, and tune machine learning models using Python and other tools, focusing on accuracy and ensuring that intelligence is consistent with defined needs. - Create solutions by comparing various Machine Learning algorithms that would best fit for the customer churn and use cases. - Build the Machine Learning models in tools such as RapidMiner application to predict customer churn using Python scripts. - Use algorithmic and logical approach to determine initial set of potential ML models based on the data and results generated. - Maintain and suggest tools and technologies for increased productivity. - Build and update business intelligence reports, databases, and dashboards to provide users with detailed intelligence. - Architect end-to-end Machine Learning Model Deployment and Data Versioning pipeline in a production environment to identify data patterns and trends. - Participate in model and algorithm deployment into production, which needs a separate pipeline built with support for monitoring and alerting. - Align code branches to be managed with the latest algorithms to be used for customer churn predictability. - Assure adherence to business intelligence standards, methodologies, and practice. - Maintain the project codes/model versions using GIT/SVN version controlling tools. - Document all the project details and activities in the organization’s Confluence pages. - Develop technical design documentation to ensure the accurate development of reporting solutions. - Create status reports on a weekly and monthly basis with an accurate assessment of the deliverables. - Work with the team on the various AI/ML technologies, and business intelligence systems and tools, perform tests, and work with project managers and team on project deliverables. - Attend project meetings and work on ad hoc project report requests. - Triage requirement gathering, identify business value for scenarios by working with product owners, and optimize data-driven decision making. - Utilize statistical concepts/methodologies to correlate inventory, network statistics, and trouble management systems. - Explore and integrate AI/ML and GenAI frameworks to enhance customer communications and operational insights, including IVR call analytics and AI-driven outage intelligence across digital and self-service channels. - Telecommuting and working from home permitted from anywhere in the U.S. - Travel and relocation possible to unanticipated client locations throughout the U.S. - Domestic travel required approximately 10% of the time to various client sites. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Data Sciences, or Information Systems. - 3 years of experience in the job offered or related occupations of Lead Engineer, Software Engineer, Application Developer, or equivalent. Requirements - 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face. - 3 years with AI/ML Technologies such as Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN. - 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis, Random Forests, Gradient Boosting, K-Means, KNN, Neural Networks. - 3 years of experience with Model Evaluation & Testing such as Accuracy, Precision, Recall, Cross-Validation, A/B Testing, Hypothesis Testing. - 3 years of experience with MLOps & Deployment such as Docker, Kubernetes (AKS), CI/CD, Model Monitoring, Data Versioning. - 3 years of experience with API & Backend Development such as REST APIs, FastAPI, Uvicorn. - 3 years of experience with Data Engineering & Orchestration such as Apache Airflow, Kafka, Flume, Hadoop, Drill. - 3 years with Data Visualization & BI Tools such as Matplotlib, Seaborn, Grafana, Power BI, Tableau, Superset. - 3 years with Databases & Data Warehouses such as Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL. - 3 years with Cloud Technologies such as Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialog flow, Data Studio). - 3 years with DevOps & Collaboration Tools such as Git, Jira, Confluence, Azure DevOps. - 3 years with Operating Systems such as Windows, Linux. - Travel and relocation possible to unanticipated client locations throughout the U.S. - Domestic travel required approximately 10% of the time to various client sites.
Role Description We are seeking an experienced Business Intelligence (BI) Project Manager to lead enterprise-level data and analytics initiatives. The ideal candidate will manage BI projects from planning through execution, working closely with stakeholders across business units such as operations, finance, marketing, and guest analytics. This role requires strong project management skills, BI knowledge, and experience delivering data-driven solutions in fast-paced environments. - Lead end-to-end delivery of Business Intelligence and Analytics projects. - Define project scope, timelines, milestones, and deliverables. - Collaborate with business stakeholders to gather requirements and translate them into technical BI solutions. - Manage cross-functional teams including BI Developers, Data Engineers, and Analysts. - Track project progress, risks, and dependencies using project management tools. - Coordinate data warehouse, reporting, and dashboard development initiatives. - Ensure alignment with organizational data strategy and business objectives. - Oversee BI reporting tools implementation such as dashboards and performance reports. - Facilitate Agile ceremonies such as Sprint Planning, Stand-ups, and Retrospectives. - Communicate project status updates to leadership and stakeholders. - Ensure data quality, governance, and compliance standards are followed. - Support post-implementation reviews and continuous improvement efforts. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field. - 10+ years of experience managing BI or Data Analytics projects. - Strong understanding of Data Warehousing and ETL processes. - Experience managing BI tools such as Power BI, Tableau, Looker, MicroStrategy. - Hands-on experience with SQL and data analysis concepts. - Experience working in Agile or Scrum environments. - Strong communication and stakeholder management skills. - Proven ability to manage multiple projects simultaneously. Preferred Qualifications - Experience in Retail, Hospitality, or Entertainment industry. - Familiarity with cloud platforms such as AWS, Azure, Google Cloud Platform. - PMP, Scrum Master, or Agile certification preferred. - Experience working with large-scale enterprise reporting systems. - Knowledge of data governance and data quality frameworks. Technical Skills - BI Tools: Power BI, Tableau, Looker. - Databases: SQL Server, Oracle, Snowflake. - ETL Tools: Informatica, Talend, SSIS. - Project Tools: Jira, Confluence, MS Project. - Cloud Platforms: AWS, Azure. - Methodologies: Agile, Scrum, Waterfall. Soft Skills - Strong leadership and team coordination. - Excellent communication and presentation skills. - Problem-solving and analytical thinking. - Stakeholder relationship management. - Time management and prioritization.
Fairbanks Morse Defense is one of the nation’s leading marine defense contractors, providing reliable power systems, parts, and aftermarket services to the U.S. Navy, Coast Guard, Military Sealift Command, and Canadian Coast Guard. We have a legacy of commitment that spans 150 years.
Role Description Fairbanks Morse Defense is looking for a Sr. Business Intelligence Analyst to join our growing Analytical team. The position is responsible for a variety of areas including SQL, Data Modeling, Data Visualization, and Data Warehousing. This role will support, develop, and enhance BI capabilities across all FMD business units. - Design, build, and maintain scalable Snowflake data models and data pipelines to support enterprise analytics. - Apply practical data quality techniques—including record counts, reconciliation checks, and anomaly detection—to validate accuracy, completeness, and reliability for downstream reporting. - Leverage advanced SQL, DAX, and data modeling expertise to perform complex data analysis and optimize analytical data structures. - Develop intuitive, high‑impact dashboards and visualizations in Power BI (or similar tools) that translate complex data into actionable business insights for stakeholders. - Business Analysis skills translating business needs into technical solutions. - Manage and execute BI projects to completion with internal stakeholders and external resources as required. - Document BI project details with milestones, timelines, resources, and costs required. - Provide user training and support to stakeholders. - Implement, maintain, and improve business intelligence best practices. - Act as a Business Intelligence educator, champion, and expert across FMD helping business users to better understand best practices to get value out of BI initiatives. Qualifications - Bachelor's degree in Data Analytics or a related field required. - 5-10 or more years of experience in Business Intelligence, Business Analysis, or in a related area, preferably in a manufacturing company. - Strong proficiency in SQL and experience working with relational databases (Oracle, Visual, or Jobscope ERP experience is a plus). - Experience with business intelligence technologies such as Python, AI, and API services. - Experience with government cloud environments is a plus. - Must be detail oriented with strong organizational and analytical skills. - Great interpersonal and communications skills. Requirements - This position requires access or potential access to Unclassified Naval Nuclear Propulsion Information, which is Not Releasable to Foreign Nationals (NOFORN) data. Therefore, to meet NOFORN requirement, you will have to provide proof of US Citizenship and attest that you do not have dual citizenship. Acceptable proof of US Citizenship is a US Passport, US Birth Certificate or Naturalization Certificate. - Ability to competently perform all the essential duties of the position, with or without reasonable accommodation. - Demonstrated commitment to effective customer service delivery. - Ability to work productively as a member of a team or work group. Benefits - Competitive benefits package including medical, dental, vision, life, and disability insurances. - 401k retirement plan with employer match. - Paid time off. - Paid holidays. - Paid parental leave. - Tuition reimbursement.
Founded in 1980, BMC Software is a privately-held, business-to-business (B2B) software firm serving companies in the healthcare, financial services, retail, tel
Role Description The Business Intelligence Developer (BID) will be responsible for designing, developing, and maintaining reports, extracts and dashboards within the Epic electronic health record (EHR) system. This role involves working closely with healthcare professionals and IT teams to ensure that reports meet the needs of the organization and comply with regulatory requirements. Position: Business Intelligence Developer/Report Writer Department: Clinical and Enterprise Analytics Schedule: Full Time Qualifications - Education: Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, or within a related field preferred. - Relevant certifications in Epic Reporting preferred. - Experience: Minimum of 3 years of experience in report development, with a focus on healthcare reporting in Epic EHR systems. Experience with Epic’s Reporting Workbench, Radar, Caboodle and Clarity is required. - Experience in lieu of education is preferred. - Technical Skills: Proficiency in SQL, and knowledge of programming language. Familiarity with data warehousing concepts and ETL processes is a plus. - Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. - Communication: Excellent verbal and written communication skills, with the ability to interact effectively with stakeholders at all levels. - Detail-Oriented: Exceptional attention to detail with a commitment to delivering high-quality work. Requirements - Report Development: Design, develop, and deploy custom reports and dashboards within the Epic EHR system using Epic’s reporting tools such as Reporting Workbench, Radar, SlicerDicer using Caboodle and Clarity data sources. - Data Analysis: Analyze business requirements and translate them into technical specifications for report development. Ensure data accuracy and integrity. - Collaboration: Work closely with stakeholders, including healthcare providers, administrators, and IT teams, to gather requirements and understand reporting needs. - Troubleshooting: Identify and resolve issues related to Epic reports and data discrepancies. Provide technical support and guidance to end-users. - Documentation: Create and maintain detailed documentation for report specifications, development processes, and user guides. - Compliance: Ensure reports comply with industry regulations, standards, and organizational policies. - Continuous Improvement: Stay current with updates and best practices related to Epic reporting tools. Recommend and implement enhancements to improve reporting efficiency and effectiveness. Benefits - Competitive salary and benefits package. - Opportunities for professional growth and development. - A collaborative and supportive work environment. - Remote work environment. Compensation Range $71,500.00 - $104,000.00. This range offers an estimate based on the minimum job qualifications. However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer. This includes education, experience, skills, and certifications/licensures as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, BMCHS offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family well-being. NOTE: This range is based on Boston-area data, and is subject to modification based on geographic location. Equal Opportunity Employer/Disabled/Veterans. According to the FTC, there has been a rise in employment offer scams. Our current job openings are listed on our website and applications are received only through our website. We do not ask or require downloads of any applications, or “apps” job offers are not extended over text messages or social media platforms. We do not ask individuals to purchase equipment for or prior to employment.
Our mission: to be the leader in improving child health.
Role Description Do you enjoy creating reports and analysis driven by real business needs? Love using data to uncover insights that make a difference? If so, we’ve got the job for you. This role provides everything needed to gather and interpret user requirements, translate payor and regulatory needs, deliver training, build professional skills, and analyze business intelligence requests aligned with existing tools and processes. This is a fast-paced environment with the ability to adapt to new challenges each day while continuing to work on long-term projects. Job Responsibilities - Gather, prepare and analyze user requirements for designing and creating reports. - Participate in technical code review as needed. - Conduct proper testing and validation. - Utilize enterprise data systems (such as Epic Slicer Dicer, Caboodle & Clarity) to develop and modify reports and dashboards. - Perform change management when reporting system modifications are needed. - Coordinate the scheduling of reports in production. - Follow all build, configuration and release management and user and technical documentation standards set by CCHMC. - Perform reporting consolidation and analysis duties to ensure content alignment with enterprise standards. - Learn to translate business user questions into data solutions. - Utilize the CCHMC information glossary to refer to governed definitions when analyzing and creating reports. Training - Provide end user training as required for new hires or when changes are made to existing applications/systems. - Create educational materials for end user training including, but not limited to job aides, lesson plans & quick start guides. Technical Skill - Develop knowledge and professional skills through cross training, literature and attendance at department meetings and vendor education. - Keep current with the submission of departmental and hospital required documentation and completing departmental and hospital required training. - Obtain and/or maintain appropriate technical certifications (including Epic certifications if applicable). - Develop oral and written communication skills, especially related to system changes and updates. - Review and execute testing plans. Reporting - Create new simple Business Intelligence solution designs and modify and execute more complex solutions based on existing designs and templates. - Participate actively in project planning and meetings. - Prepare and submit detailed documentation and status reports in accordance with department standards. - Perform other duties as assigned. Analysis - Analyze Business Intelligence requests to align with existing tools and processes. - Organize and complete assigned tasks and associated documentation upon directives from supervisor. - Develop and use troubleshooting skills to effectively support Business Intelligence solutions. - Escalate unresolved issues with urgency. - Seek the appropriate resources needed for activities with multiple tasks. - Be personally accountable for commitments to project timelines and deliverables. - Effectively work with cross functional teams and customers to identify build deficiencies based on customer reporting requests. Qualifications - Bachelor's Degree - No experience required Preferred Qualifications - Experience with Epic Slicer Dicer, Caboodle, Clarity - Experience with BI Visualization Tools (MS Power BI and Fabric, Tableau, Qlik) - Familiarity/Experience with data virtualization (Denodo) - Familiarity/Experience with Data Governance concepts and processes - Experience with version control tools such as Azure DevOps and GitHub - Self-motivated and able to work in a fast-paced, deadline-driven environment - A love for technology and curiosity for learning new things - Interest in supporting and participating in a positive culture Location and Schedule - Primary Location: Remote - Schedule: Full time - Shift: Day (United States of America) - Department: Health Network 2.0 IS - Employee Status: Regular - FTE: 1 - Weekly Hours: 40 Company Description Cincinnati Children's is: - Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years - Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding - Recognized as one of America’s Best Large Employers (2025) - One of the nation's America’s Most Innovative Companies as noted by Fortune - Consistently certified as a great place to work - A Leading Disability Employer as noted by the National Organization on Disability - Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.
Role Description The Office of the Senior Vice President for Research seeks an experienced, collaborative Research Analytics and Business Intelligence Specialist. This role designs, develops, and maintains business intelligence solutions for Penn State’s research enterprise. The specialist will build Power BI reports and datasets, develop SQL-based data models and datamarts, and work with stakeholders across Research Central and the Office of the Vice President for Research to turn complex data into actionable insights. Experience in healthcare, higher education, or research administration data environments, and familiarity with the research proposal lifecycle, is preferred. Work Arrangement: This position is eligible to work remotely within the US. Standard work times will be in EST. Key Responsibilities - Data Analysis and Visualization: - Develop and maintain dashboards, reports, and datasets from multiple sources, and create user-friendly reporting tools. - Analyze and present data to support decision-making. - Provide ad hoc reporting and analysis. - Data Modeling and Architecture: - Build and maintain data structures for reporting and analysis. - Develop and improve data models, quality, documentation, and governance. - Gather and translate business requirements into analytics solutions. - Follow established processes and standards. - Stakeholder Collaboration and Communication: - Collaborate with stakeholders to define needs and deliver solutions. - Communicate insights clearly to varied audiences. - Present findings in written, visual, and verbal formats. - Support testing and implementation activities. - Manage multiple projects and priorities. Qualifications - Experience with data analysis and reporting tools. - Experience working with data from multiple sources. - Strong communication and organizational skills, with attention to detail. - Proficiency with Microsoft office software. Requirements - Familiarity with higher education or research environments. - Experience with institutional or operational data. Background Checks/Clearances Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO Is The Law Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. Role: The Head of Fraud Intelligence is responsible for transforming SentiLink's Fraud Intelligence Team (FIT) into a high-impact fraud intelligence function. This leader will oversee the evolution of FIT's operating model, ensuring the team delivers high-quality fraud labeling, generates actionable fraud intelligence, develops future technical talent, and creates measurable business impact through fraud prevention initiatives. This role requires a unique combination of operational rigor, fraud curiosity, analytical thinking, innovation, and talent development. The successful candidate will raise performance standards, implement best-in-class, scalable operational processes, and strengthen cross-functional partnerships to ensure FIT serves as an efficient operational machine, a trusted source of fraud expertise, and a pipeline for future leaders across the organization. Success will be measured by improvements in operational performance, development of high-potential internal talent, increased fraud prevention impact, and FIT's growing influence across Product, R&D, Analytics, GTM, and other business functions. This is a remote, US-based role. Responsibilities: - Establish clear performance baselines and operational metrics for FIT, including labeling volume, quality, turnaround time, cost efficiency, SLA adherence, and downstream business impact. - Design and implement scalable quality assurance processes, including sampling methodologies, review frameworks, feedback mechanisms, and escalation procedures to continuously improve labeling accuracy and consistency. - Reimagine FIT's operating model, workflows, tooling, and team structure to improve efficiency, scalability, and business outcomes. - Build a best-in-class entry-level talent program by defining hiring profiles, onboarding experiences, training programs, and career development pathways for Fraud Intelligence Analysts. - Create a repeatable progression framework that enables FIT team members to develop technical, analytical, and fraud expertise while preparing them for advancement and internal mobility opportunities. - Develop credible measurement frameworks that connect FIT activities to measurable fraud prevention outcomes, including model improvements, fraud detection enhancements, typology development, and customer impact. - Launch and scale initiatives that transform frontline fraud observations into actionable insights for Product, R&D, Analytics, GTM, and customer-facing teams. - Serve as a trusted fraud subject matter expert and strategic partner across the company, building strong relationships with stakeholders and ensuring FIT's insights influence key business decisions. - Establish recurring reporting, fraud trend analysis, and knowledge-sharing programs that elevate fraud awareness and expertise throughout the organization. - Leverage AI, automation, and process optimization opportunities to increase team productivity, improve quality, and enable FIT to focus on higher-value fraud intelligence work. Requirements: - 8+ years of experience in fraud operations, fraud intelligence, risk management, trust & safety, investigations, analytics, or a related domain, including significant people leadership experience - 4+ years of management experience overseeing a team of Fraud Analysts - Demonstrated success leading operational teams responsible for high-volume, quality-sensitive workflows and measurable business outcomes. - Strong fraud judgment with a deep interest in understanding evolving fraud patterns, typologies, and prevention strategies. - Proven ability to design and improve processes, operating models, quality systems, and performance measurement frameworks. - Experience developing and coaching early-career talent, building high-performing teams, and creating internal mobility pathways. - Strong analytical skills with the ability to use data to identify opportunities, measure outcomes, and drive decision-making. - Technical fluency and comfort working closely with product, analytics, engineering, machine learning, and data science teams. - Experience leveraging AI, automation, workflow tooling, or operational technologies to improve productivity and quality. - Exceptional written and verbal communication skills, with the ability to influence stakeholders across technical and non-technical audiences. - Demonstrated ability to lead cross-functional initiatives and align diverse stakeholders around shared goals. - Strong ownership mindset with a track record of driving change, executing against ambitious goals, and holding teams accountable to high standards. - Ability to balance strategic thinking with hands-on execution in a fast-paced, high-growth environment. - Curiosity, first-principles thinking, and a continuous improvement mindset focused on learning, experimentation, and long-term impact. Compensation: - $180,000-$240,000/year + equity + benefits Perks: - Employer paid group health insurance for you and your dependents - 401(k) plan with employer match (or equivalent for non US-based roles) - Flexible paid time off - Regular company-wide in-person events - Home office stipend, and more! Corporate Values: - Follow Through - Deep Understanding - Whatever It Takes - Do Something Smart
Don't Just Automate AP. Ottimate It. (Formerly Plate IQ)
• Take ownership of data that isn't yet "analysis-ready," mapping out processes to understand the how and why behind the numbers before building a single chart. • Untangle the nuances of VCC interchange, ACH, and check processing costs to find hidden margins. • Prepare the "Story of the Business" for the C-suite and sub-department leaders to drive high-stakes decision-making. • Build and maintain PowerBI dashboards that track customer and vendor behaviors, identifying trends that signify churn risk or growth opportunities. • Develop data-driven forecasts for interchange revenue and operational savings to support quarterly business reviews. • Act as an internal consultant to identify high-value areas for resource allocation, such as shifting high-volume check spend to e-payments. • Perform rigorous self-audits and reconciliation to ensure that every figure presented to leadership is 100% accurate and defensible.
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Python, SQL