Financial Analyst responsible for financial planning, analysis, budgeting, forecasting, cost analysis, and reporting to support business decisions.
Compensation
Competitive compensation package
Responsibilities
Partner with department leaders to understand business activity, evaluate financial performance, and support planning decisions
Support annual budgeting and ongoing forecasting, including developing assumptions, reviewing departmental submissions, and updating financial projections
Analyze actual results against expectations, identify meaningful trends, and explain the operational factors driving financial variances
Prepare recurring management reports and financial presentations that clearly communicate results, risks, and opportunities
Evaluate costs and resource utilization across departments and business activities to help leaders better understand operating performance
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch to optimize modeling processes and improve Swish products.
Compensation
starting at $160,000 base plus bonus potential
Responsibilities
Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
Build, test, deploy and maintain production systems.
Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
Support maintenance and optimization of cloud-native EDW and ETL solutions.
A Senior Software Engineer role focused on research, advanced data architecture, and digital twins within complex manufacturing and lithium-ion battery technology environments.
Compensation
Base salaries which exceed local & national industry averages. Year-end performance-based bonuses.
Responsibilities
Conduct research and learn advanced concepts across engineering disciplines
Communicate findings to experts and non-experts
Design and maintain data models and digital architectures
Apply machine learning and AI to optimize manufacturing processes
Integrate digital twins and simulation data
Requirements
Bachelor's degree in Computer Science, Software/Electrical Engineering
Support the design, development, and implementation of operational programs, processes, and solutions that align with business objectives.
Compensation
$75,000-$95,000
Responsibilities
Support the design, development, and implementation of operational programs, processes, and solutions that align with business objectives.
Analyze and develop reporting for operational data, performance metrics, and trends to identify gaps, risks and opportunities for measurable improvement.
Partner with business and technical teams to translate operational requirements into standardized processes, frameworks and measurable performance standards.
Create and maintain clear, accurate program documentation, including process guides, standard operating procedures, quality standards and reporting to support consistency and knowledge sharing.
Develop and maintain quality standards, audit checklists and validation processes and monitor adherence to drive consistent service quality.
Requirements
Associate’s or bachelor’s degree in a related field or demonstrated experience
Desarrollar e implementar proyectos de automatización aplicando los estándares de la metodología de Mejora Continua, asegurando calidad, tiempos y el funcionamiento adecuado en su instalación, considerando las mejores prácticas y nuevas tecnologías del mercado para Grupo Coppel.
Responsibilities
Desarrollar e instalar proyectos de automatización para Grupo Coppel, implementando distintas tecnologías que la operación o el Cliente necesita, buscando el aumento de productividad, el aprovechamiento adecuado de recursos, reducción de errores, entre otros.
Dar seguimiento a la administración óptima de recursos y actividades durante la ejecución de proyectos para controlar el tiempo establecido de su implementación, cumpliendo con los requisitos de calidad especificados por la necesidad de Grupo Coppel.
Asegurar se apliquen los lineamientos de Arquitectura Empresarial para asegurar la estandarización de diseño y modelado de procesos alineados a los macroprocesos, utilizando catálogos oficiales de sistemas, puestos y estándares definidos por la empresa.
Participar e implementar los procesos y sistemas en la instalación de proyectos, asegurando los resultados deseados y el correcto seguimiento de la operación.
Dar seguimiento a los resultados obtenidos de la implementación de proyectos, establecidos en el análisis Post Mortem, validando hipótesis y beneficios planteados en las propuestas de desarrollo, documentando adecuadamente las lecciones aprendidas y con esto servir como base para el desarrollo de proyectos futuros.
A senior individual contributor responsible for designing and delivering advanced technical analytics solutions to transform people data into actionable insights using platforms like Workday, Tableau, Prism, and SSRS.
Compensation
$106,880.00 - $133,595.00
Responsibilities
Receive, triage, and fulfill ad-hoc reporting and data requests
Investigate and resolve reporting issues, including broken reports, data discrepancies, and access problems
Perform routine maintenance on the team's catalog of existing reporting solutions
Utilize the team's ticket management system to track incoming requests
Serve as an escalation point for complex reporting issues worked by teammates
Requirements
Bachelor's degree in Business, Analytics, Math, Statistics, or Computer Science
Support strategy, evolution, and adoption of enterprise bioinformatics platforms and data solutions for public health initiatives.
Compensation
Market competitive salary, commensurate with experience and education
Responsibilities
Collaborate with scientists, public health stakeholders, and technical teams to elicit, analyze, and document business, scientific, operational, and technical requirements for bioinformatics platforms and tools.
Develop and maintain use cases, user stories, acceptance criteria, functional requirements, and non-functional requirements that support bioinformatics and data platform initiatives.
Partner with product managers, architects, and technical leads to define, prioritize, and refine platform capabilities, enhancements, and strategic roadmaps.
Coordinate activities across bioinformatics, data science, engineering, cloud, and infrastructure teams to ensure alignment, dependency management, and successful solution delivery.
Support Agile ceremonies including backlog refinement, sprint planning, Scrum of Scrums, and Program Increment (PI) planning while tracking requirements, risks, dependencies, and delivery progress.
Requirements
Bachelor's degree in bioinformatics, computational biology, genomics, or a related field
Nice to have: Master's degree in bioinformatics, computational biology, genomics, or a related field
Marketing Strategy & Analytics Manager
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Nov 7, 2026
Lead strategic planning, cross‑functional programs, and performance analysis across the Marketing organization.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Partner with Marketing leadership to develop annual and quarterly operating plans, including strategic priorities, resource allocation, success metrics, and targets.
Own strategic initiatives and cross‑functional programs from scoping through execution, defining workstreams, milestones, owners, and measures of success.
Work across Marketing, Business Development, Product, and Finance to align priorities, resolve dependencies, and address risks to execution.
Lead analyses that inform marketing strategy, investment decisions, and program improvements, translating business questions into analytical approaches and actionable recommendations.
Synthesize performance across marketing channels and functions to explain results, identify opportunities, and recommend next steps.
A senior, hands-on role responsible for enabling complex business domains on Shield AI’s enterprise data platform, initially focusing on Supply Chain and Manufacturing.
Responsibilities
Lead discovery and end-to-end enablement for complex Supply Chain and Manufacturing domains.
Partner directly with Supply Chain, Manufacturing, and Operations leaders to understand business processes, decisions, source systems, reporting needs, and pain points.
Translate ambiguous business needs into clear problem statements, prioritized use cases, phased roadmaps, technical designs, and achievable delivery plans.
Design and build governed data products across the data stack, including source-system assessment and integration requirements; Bronze, Silver, and Gold data assets; transformation logic; domain marts; curated datasets; semantic models; testing; documentation; and production-readiness controls.
Define canonical domain concepts, grain, facts, dimensions, conformed entities, historical treatment, business rules, and reconciliation approaches for high-value operational and analytical data.
Financial AnalystNewArkansas Talent Group · Little Rock, US
Machine Learning EngineerNewSwish Analytics · Remote, US
Senior Software EngineerNewInteger Technologies · Columbia, US
Technical Operations Program ManagerNewRazor · Fargo, US
Bioinformatics Business AnalystNewMetas Solutions · Remote, US
Marketing Strategy & Analytics ManagerNewf7d8749a-72d6-407c-bf98-292ea630c73a · San Mateo, US
Software Developer SrNewDayforce · Mauritius