Data Analyst

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Perform deep-dive analyses across diverse data sources to identify trends, patterns, and opportunities.
• Write and optimize custom SQL queries to extract, transform, and analyze data.
• Use advanced Excel techniques (pivot tables, formulas, data modeling) to explore and visualize findings.
• Create user-friendly Tableau reporting to illuminate critical business insights, analysis, and recommendations for senior stakeholders.
• Proactively identify gaps, anomalies, and emerging patterns that may impact business performance.
• Partner with cross-functional teams to support strategic and operational decision-making.

• This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners.
• As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders.
• By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success.
• Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table.

Analytics Manager, Partner Insights

• Analyze passive acoustic monitoring datasets collected from stationary recorders, towed hydrophone arrays, drifting recorders, autonomous gliders, and other acoustic platforms.
• Develop, test, validate, and refine automated cetacean detection, classification, and localization approaches.
• Conduct quantitative analyses of cetacean occurrence, abundance, seasonality, habitat use, and acoustic behavior.
• Characterize cetacean call types and evaluate relationships between acoustic detections and environmental or anthropogenic factors.
• Perform statistical analyses supporting marine mammal stock assessments and ecological research.
• Analyze underwater soundscape datasets and compute ambient noise metrics across multiple temporal scales.
• Evaluate long-term acoustic trends and assess natural and anthropogenic sound sources within monitored ecosystems.
• Validate automated classifiers through manual review and annotation of acoustic datasets.
• Support acoustic analyses associated with autonomous Seaglider deployments and other emerging monitoring technologies.
• Contribute to acoustic propagation modeling and evaluation of species-specific detection performance.
• Maintain reproducible analytical workflows using MATLAB, Python, R, GitHub, and NOAA Fisheries data management standards.
• Document analytical methods, maintain analysis logs, and support preparation of reports, manuscripts, conference presentations, and technical summaries.
• Collaborate with NOAA scientists, project partners, and working groups to advance passive acoustic monitoring methodologies and research objectives.

Acoustician Level 2 – Part Time, Cetacean Data Analysis & Processing Support

• Own and expand client-facing reporting to help our customers understand the clinical and business value of their investment in Modern Health
• Build and maintain the data foundation that powers our analytics — including dbt models, metric definitions, and the pipelines that keep our data reliable
• Support our clinical analytics workstreams, including outcomes reporting, ROI analyses, and compliance-related data work
• Partner with stakeholders across Clinical Strategy, Customer Success, Finance, and RevOps to surface insights, build reliable reporting, and help the organization make better data-driven decisions

• Sourcing, transforming, validating, and analyzing data to support performance reporting, operational analytics, and regulatory needs
• Extracting data from core systems, including claims, enrollment, provider, utilization management, call center, and financial systems
• Developing and maintaining SQL queries, views, and data models to support reporting and analytics needs
• Performing data transformations, joins, and aggregations to create analysis-ready datasets
• Supporting data ingestion and integration across multiple source systems
• Performing data validation, reconciliation, and quality checks to ensure accuracy, completeness, and consistency
• Investigating and resolving data anomalies in collaboration with IT, vendors, and business stakeholders
• Documenting data sources, logic, and transformation rules
• Conducting exploratory and ad-hoc analysis to answer operational and business questions
• Supporting root cause analysis and investigative work requested by performance and operations teams
• Identifying data trends, anomalies, and patterns that may impact operational performance
• Delivering validated datasets and analytical outputs to Senior Performance Reporting Analysts and reporting teams
• Supporting the development of dashboards and reports by ensuring that underlying data is accurate and performant
• Assisting with performance metric calculations as defined by reporting governance
• Collaborating with data engineering and IT teams on data warehouse, data mart, and reporting layer enhancements
• Supporting automation of data pipelines and recurring analytical processes
• Participating in data governance, metadata management, and documentation initiatives

Data Analyst – Business Transformation

• This role will be the analytical engine behind how Rula understands, monitors, and improves its billing and account experience, financial performance and customer service.
• As an individual contributor, you will work closely with partners across Finance, Billing, Product, Data, Customer Service, and Operations, bringing well-rounded business acumen to investigate complex account questions, uncover root causes, and turn messy data into clear, actionable insights.
• Day to day, you’ll dig into billing workflows, identify where things break down, and help teams make informed conclusions that improve accuracy, reduce friction, and support sustainable growth.
• This role sits within the Analytics organization and plays a critical part in helping Rula deliver a reliable, trustworthy financial experience for members, providers, and partners.

Data Analyst jobs in Hawaii

See all jobs on JobTailor

Online Data Analytics Eco Representative

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Senior Director, Enterprise Data, Analytics, AI & Automation

Market Research Data Analyst

Data Analyst

Analytics Manager, Partner Insights

Acoustician Level 2 – Part Time, Cetacean Data Analysis & Processing Support

Data Analyst

Data Analyst – Business Transformation

Senior Operations Analytics Manager