Data Analyst

• 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.

Senior Operations Analytics Manager

• Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema
• Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analyst can use for threat hunting
• Maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on
• Work with the vendor to determine best practices for deployment and maintenance of system architecture and deploy within designated security requirements

Data Analytics Engineer

• Manage, sustain, and optimize containerized analytics environments
• Responsible for administration of Kubernetes-based infrastructure
• Collaborate with data engineers, platform architects, cybersecurity personnel
• Ensure availability, security, and performance of data analytics services
• Leverage strong troubleshooting skills in high-demand environments

Data Analytics Platform Kubernetes Administrator

• support and maintain critical data environments across Mission Partner Environments (MPE)
• deployment, configuration, administration, and optimization of enterprise analytics platforms
• provide customers with insight into their network through monitoring and performance management
• identify problem areas and opportunities for improvement in critical network
• assist team in understanding the network by turning metrics into information
• share expertise through leadership and mentoring as team works through challenges
• identify new opportunities to modernize the network to help customers meet needs

Data Analytics Platform Systems Administrator

• responsible for the design, deployment, operation, and sustainment of enterprise-level data analytics platforms supporting Mission Partner Environments ( MPE )
• ensures secure, reliable, and high-performance infrastructure and services that enable data sharing and analytics across multi-domain and multinational partners
• serve as a technical authority, guiding system architecture, integration, and operational best practices
• establish processes and facilitate technological innovation to make a lasting impact on data architectures and solutions

Lead Systems Administrator, Data Analytics Platform

• Conduct analyses of passive acoustic datasets to support detection, classification, and localization of cetaceans
• Characterize cetacean vocalizations and evaluate behavior, occurrence, abundance, seasonality, and habitat relationships
• Develop and validate automated detection and classification approaches, including call-level annotation and manual validation
• Analyze datasets collected from multiple platforms, including: Long-term stationary recorders, Towed hydrophone arrays, Drifting acoustic recorders, Autonomous systems (e.g., Seagliders)
• Apply statistical and quantitative approaches to support stock assessments and ecological analyses
• Support Seaglider and advanced acoustic analyses, including: Classification of cetacean sounds to species where possible, Validation of automated classifiers through manual review, Application of sound propagation models using Python and cloud-based tools
• Process acoustic datasets for analysis, including: Conversion of raw data formats into usable files (e.g., WAV), Debugging problematic data files, Performing quality assurance and quality control checks
• Archive and manage datasets, including: Storage on program and cloud servers, Preparation for submission to NCEI, Maintenance of dataset logs and issue tracking
• Maintain and update acoustic metadata databases (e.g., TETHYS, Makara, NCEI), including uploading and quality-checking detection and classification data
• Conduct quantitative soundscape analyses, including computation of ambient noise metrics and evaluation of trends across multiple temporal scales
• Maintain logs of datasets analyzed, analytical methods, outputs, and issues encountered
• Maintain analysis code and workflows in repositories such as NMFS GitHub Enterprise
• Assist with preparation of technical reports, manuscripts, presentations, and data visualizations
• Participate in meetings, workshops, and conferences to present progress and support collaboration

Acoustician – Cetacean Data Analysis, Processing Support

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Data Analyst 3, People Analytics

• Partner with key stakeholders within the Workforce Management team and cross-functionally within HR, Finance, Store/Retail Operations and IT on KPI and data delivery/visualization needs
• Participate in various workstreams to provide a foundation in advanced application of data intelligence, processes and tools
• Extract relevant data from source databases to outline key trends around demand planning, staffing, and scheduling
• Utilize data visualization to bring data to life and tell a compelling story built around actionable insights and support the communication of solutions to stakeholders
• Evolve the data analytics and reporting function by automating many of the time intensive (but largely static) data pulls and dashboards/visualizations being performed today, while incorporating new ideas and initiatives
• Build and maintain self-service reporting and scenario planning tools to place the intelligence of HR workforce planning in store operations’ hands

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