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Senior Quantitative Risk Analyst

S&P Global

S&P Global, formerly known as McGraw-Hill Financial, is a New York, New York-based company that provides credit ratings, analytical information, and benchmarks

Data Analyst2 hours ago

Full Time Remote Senior

Company Site

Role Description S&P Global Energy is seeking an experienced Analyst for its Commodity Risk Solutions team. We create solutions to support commodity risk functions in most of the energy commodity markets in the world, primarily quantitatively-derived forward curves for markets with little to no liquidity. We are a multi-disciplinary team, covering many commodities and regions, and we conceptualize, develop and operate our models. The analyst will work across the value chain here at S&P Global Energy, starting with sales and product management to define the market opportunity, then with both S&P Global Energy editorial and analytical staff to develop new forward curves and other products, through development of the code to publish the curves, and monitoring curve performance every day. They will leverage their knowledge of markets and our products to assist sales in defining and describing our products to customers. You will be placed on a challenging, steep learning curve in terms of not only deepening subject matter expertise in many commodity markets, but also the technologies that enable us to develop and publish our curves relatively independently of external support: Matlab, SQL and Excel. Through our unique position in the organization, we also work closely with the product management organization to manage related editorial products. Responsibilities - Develops algorithms for new forward pricing points for illiquid locations/commodities. - Implements algorithms in Matlab and SQL. - Updates related documentation. - Performs analysis and modeling including developing quantitative/analytic/statistical models. - With the team, ensures proper publication of curves every day. - Responds to client requests/enquiries for data and analysis. Qualifications - Proven work experience performing commodity quantitative or market analysis in 1 or more of the following markets: Crude Oil; Refined Products; Electricity; Natural Gas; LNG; Metals. - Regional commodity experience from Europe/Middle East or Asia. - Experience with Risk Management, forward curves and/or volatility is essential. - Experience using the following tool/technologies required: Scientific Programming (Matlab/Python/R/SAS), SQL databases, and MS Excel. - Displays well-rounded communication skills that implement good listening techniques, clear, concise writing style and good verbal skills. - Ability to communicate across a wide range of groups and personalities internally and externally. - Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team. - Adept at managing multiple tasks and adhering to regular deadlines. Able to adjust priorities throughout the day. - Self-Starter required – you will be working remotely from management and must be able to diligently pursue tasks and manage priorities. - The ideal candidate will be comfortable developing quantitatively-derived forward curves in coordination with other experts in the company, as well as implementing them in an every-day, without-fail environment, with little direct supervision. Benefits - Health & Wellness: Health care coverage designed for the mind and body. - Flexible Downtime: Generous time off helps keep you energized for your time on. - Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. - Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. - Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. - Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Observability/Monitoring MATLAB SQL Excel Python R SAS

View details: Senior Quantitative Risk Analyst

Europe + 2 more

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Senior GTM Operations Business Intelligence Analyst

Level Access

Technology is evolving rapidly and it should work for everyone. Digital accessibility compliance software and services.

Business Intelligence Developer6 hours ago

Full Time Remote SeniorTeam 501-1,000Since 1997H1B Sponsor

Company Site LinkedIn

• Primary owner of Go-to-Market (GTM) reporting requirements, KPI definitions, business logic documentation, and analytics design across the GTM technology ecosystem. • Translate business questions into scalable reporting solutions through clear requirements, data governance, KPI standardization, and analytics product management practices. • Support execution of the end-to-end flow of GTM data and processes, ensuring leadership has trusted insights to run the business and supporting cross-functional teams. • Partner with GTM Operations, Business Systems, and Data Engineering teams to prioritize reporting initiatives and ensure solutions meet business requirements. • Serve as Product Owner for GTM reporting and analytics initiatives, managing backlogs, prioritization, and stakeholder alignment. • Define and enforce governance standards for GTM data across accounts, contacts, leads, opportunities, and activities. • Own the GTM metrics framework, including KPI definitions, calculation methodologies, dimensional structures, and reporting standards. • Establish authoritative data sources, metric ownership, lineage, transformation logic, and reporting certification. • Monitor data quality and resolve reporting, business logic, and system integration issues through root-cause analysis. • Maintain analytics documentation, including KPI definitions, business rules, data mappings, reporting requirements, and operating procedures. • Design and oversee scalable Power BI solutions built on curated Databricks datasets and governed business logic. • Define reporting requirements, data models, measures, KPIs, and visualization standards to support executive decision-making. • Validate data, calculations, and KPI consistency across source systems, Databricks, and reporting platforms. • Support executive reporting and business reviews with trusted, actionable GTM insights. • Ensure reporting solutions align with approved business definitions, documented requirements, and governed data sources. • Advance AI adoption across GTM Operations by evaluating, piloting, and scaling AI-driven tools and processes. • Collaborate with RevOps, Marketing Ops, Cx Ops Finance, Business systems to align strategy, data flows, and reporting dependencies.

SQL Go

View details: Senior GTM Operations Business Intelligence Analyst

United States

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Director, Data Analytics

United Biosource Corporation

UBC is proud to be an equal opportunity employer and does not discriminate because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class. We are committed to a diverse, equitable and inclusive culture that fosters respect for each other, our clients, and our patients.

Data Analyst8 hours ago

Full Time Remote Lead

Role Description The Director of Data Analytics is responsible for the Patient Access Services (PAS) operational analytics unit within UBC. This role will work directly with the Head of Data & Analytics to execute on organizational client-facing data strategy and optimize the performance and productivity of the Data Analyst staff. - Manage the team of 5-8 Data Analysts responsible for PAS operational analytics. - Maintain team backlog, scheduled data refreshes, and report subscriptions. - Administer the Tableau Cloud and Power BI applications. - Coach Analysts with SQL, Tableau, Power BI, Snowflake and general analytics best practices. - Ensure analytics function has all team, business process, backend, and frontend procedures documented and maintained. - Support pharma client engagements, representing Data & Analytics for bid defenses, quarterly business reviews, and other initiatives. - Build business process, application, and data subject matter expertise for all service lines to serve as a highly-credible advisor to Operations leadership, Analysts, and clients. - Create and maintain excellent customer-facing relationships with Operations and clients. - Present project status updates and state of the team to Head of Analytics weekly. - Take full ownership of analytics execution and team performance. Qualifications - BS in a technical field (Analytics, Data Science, Computer Science, etc). - 1+ year Snowflake experience. - Advanced SQL skills. - Advanced dashboard design skills. - 2+ years experience with Tableau. - 1+ year experience with Power BI. - 5+ years of data analysis experience in a customer-facing, consultative role. - 5+ years managing Data Analysts with a hands-on approach. - Excellent communication and presentation ability. - Excellent project management skills. - Keen attention to detail and highly organized. - Healthcare data background, preferably in pharma. Preferred Qualifications - MS in a data-related field (BI, Analytics, Data Science, etc). - Patient Access Services / Commercial Hub experience. - 3+ years Snowflake experience. - 3+ years Power BI experience. - Expert-level Tableau skills. - 5+ years of prior experience as a Data Analyst in a highly-technical role.

Data Analytics Tableau Power BI SQL Snowflake

View details: Director, Data Analytics

United States

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Data Analyst Senior

Talan

Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, attachée à la diversité.

Data Analyst10 hours ago

Full Time Remote SeniorTeam 1,001-5,000Since 2003H1B Sponsor

Company Site LinkedIn

Role Description Rejoignez notre communauté Data & Analytics chez Talan ! Nous recherchons un(e) Data Analyst Senior capable de dépasser les simples reportings pour déceler les signaux faibles, expliquer les performances et éclairer les décisions stratégiques de nos clients. Votre valeur ne se mesure pas uniquement à la qualité de vos dashboards, mais à votre capacité à poser les bonnes questions, à challenger les hypothèses et à transformer des millions de lignes de données en recommandations concrètes et actionnables. Au sein de notre équipe Data & AI Experience, vous accompagnerez de grands groupes dans leur transformation data en combinant expertise analytique, visualisation, compréhension métier et innovations autour de l'IA générative. Votre rôle sur nos projets : - Recueillir, comprendre et challenger les besoins métiers afin d'identifier les enjeux de pilotage, de performance et d'aide à la décision. - Explorer et analyser des données provenant de multiples sources pour identifier des tendances, corrélations, signaux et opportunités d'amélioration. - Définir et construire des indicateurs pertinents (KPIs) en lien avec les objectifs stratégiques et opérationnels de nos clients. - Traduire des données complexes en recommandations claires et actionnables à travers des approches de data storytelling adaptées aux différents publics. - Concevoir des tableaux de bord et rapports interactifs sous des outils de datavisualisation comme Power BI favorisant la compréhension, l'analyse et la prise de décision. - Garantir la qualité, la fiabilité et la cohérence des données utilisées dans les analyses et les restitutions. - Collaborer étroitement avec les équipes Data Engineering pour formaliser les besoins en données, améliorer les modèles analytiques et fiabiliser les usages. - Rédiger les spécifications fonctionnelles et documenter les analyses, métriques et règles de gestion. - Exploiter les capacités de l'IA et de l'IA générative pour accélérer l'exploration des données, l'analyse, la génération d'insights et la production de restitutions à forte valeur ajoutée. - Utiliser les fonctionnalités avancées de Power BI (Copilot, Q&A en langage naturel, Smart Narratives, détection d'anomalies, analyses automatisées) pour enrichir l'expérience décisionnelle. - Accompagner les utilisateurs dans l'appropriation des outils, la compréhension des indicateurs et le développement d'une culture data au sein des organisations. Votre rôle chez Talan : - Benchmark de solutions et conseil auprès de nos clients sur les technologies data & analytics à adopter, en lien avec leurs besoins. - Réalisation de POC (Proof Of Concept) sur les modern data platforms et les outils de data visualisation. - Animer la communauté Data & AI : retours d’expérience, conférences internes, mentoring, formations, veille technologique et partage des bonnes pratiques. Qualifications - Expérience réussie sur des projets data & analytics à fort enjeu, alliant transformation de données et restitution décisionnelle. - Titulaire d’un Bac +5 (école d’ingénieur, université) ou équivalent. - Minimum 7 ans d’expérience en data analyse dont une expérience significative combinant data visualisation et proposition d’insights. - Maîtrise avancée de Power BI : modélisation sémantique, DAX, Power Query, conception de tableaux de bord interactifs et optimisation des performances. - Excellente capacité à explorer, analyser et interpréter les données afin d'identifier des tendances, opportunités, risques et leviers de performance. - Forte culture de la restitution des analyses et du data storytelling et de l’UX appliqué à la data visualisation. - Maîtrise des techniques d'analyse de données : segmentation, analyse comportementale, analyses de performance, corrélations, détection d'anomalies. - Connaissance des fonctionnalités d'IA de Power BI pour enrichir les analyses et accélérer la production d'insights. - La connaissance d'autres outils de data visualisation (Tableau, Qlik Sense, Looker Studio) constitue un atout. - Solide maîtrise du SQL pour l'exploration, l'analyse et la préparation des données. - Usage des outils de data préparation (DBT, Dataiku, Alteryx). - Bonne compréhension des modèles de données et des architectures analytiques modernes. - Sensibilité aux enjeux de qualité, de fiabilité et de gouvernance des données. - Capacité à exploiter des sources de données variées et à croiser des informations multiples pour construire des analyses à forte valeur ajoutée. - Maîtrise des usages de l'IA et de l'IA générative pour accélérer l'exploration des données. - Capacité à utiliser les assistants IA pour enrichir les analyses et améliorer l'expérience décisionnelle. - Sensibilité aux notions de traçabilité, qualité, sécurité et gouvernance de la donnée. - Expérience des environnements analytiques modernes : Databricks, Snowflake, BigQuery, Microsoft Fabric ou plateformes équivalentes. - Compréhension des principes de stockage, de transformation et d'exposition de la donnée dans les plateformes analytiques modernes. - La connaissance du versioning (Git) et des pratiques collaboratives de développement constitue un plus. - Expérience du travail en mode agile (Scrum, Kanban, SAFE). - Capacité à communiquer avec des interlocuteurs variés : métiers, équipes techniques et directions. - Maîtrise des outils collaboratifs et de gestion de projet (Jira, Confluence, Azure DevOps, Microsoft Teams...). - Bon niveau d'anglais professionnel (oral et écrit) – B2 minimum. Benefits - Plan de formation pour accompagner votre carrière (formations éditeurs, certifications). - Locaux modernes en centre-ville. - Top 5 du Palmarès Great Place to Work. - Télétravail jusqu’à 5 jours selon les missions, prime d’équipement de 100€. - Mobilité en France et à l’étranger. - Top 1% des entreprises évaluées par Ecovadis dans le domaine social, environnemental et éthique. - Tickets restaurant, prime vacances, 50% transport (abonnement transport public), mutuelle. - Permanence handicap (consultant dédié aux collaborateurs en situation de handicap et aux proches aidants). - Actionnariat salarié. - Prime de cooptations. - RTT. Company Description Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, attachée à la diversité.

AI Power BI Data Engineering R Power Query Tableau Qlik Looker Studio SQL dbt Alteryx Databricks Snowflake BigQuery Git Mode JIRA Confluence Azure DevOps Microsoft Teams

View details: Data Analyst Senior

France

€50K - €55K / year

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Senior Analyst, Health Plan Performance Operations

Aledade, Inc.

With Primary Care. For Primary Care.

Operations10 hours ago

Full Time Remote SeniorTeam 501-1,000Since 2014H1B No Sponsor

Company Site LinkedIn

• The Sr. Analyst, Health Plan Performance (HPP) Ops is responsible for extracting, analyzing, and transforming complex health plan data into actionable strategic insights. • This role drives dashboard creation, leads rigorous quality assurance auditing, and provides cross-functional leadership and mentorship to optimize value-based care contract performance. • Design, build and maintain dashboards, productivity trackers, and KPIs utilized by leadership to improve market performance and daily operations. • Build high-complexity queries of back-end data to power dashboards and custom ad-hoc projects. • Present data findings clearly through visualization tools to ensure understanding among diverse stakeholders and colleagues. • Audit year-end performance and claims data for discrepancies, reporting errors to payer teams for swift resolution.

SQL Swift

View details: Senior Analyst, Health Plan Performance Operations

United States

$66K - $79K / year

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Senior Consultant, Data Engineering SAP BW / SAP Datasphere

Windhoff Group

Projekte. Gemeinsam. Entwickeln.

Data Engineer12 hours ago

Full Time Remote SeniorTeam 201-500Since 1997H1B No Sponsor

Company Site LinkedIn

• Advise clients and colleagues • Analyze business and technical requirements • Implement data engineering solutions based on the SAP portfolio • Take responsibility for the project and the Windhoff project team • Design and implement data models and ETL pipelines • Participate in testing and the handover to production

AWS Azure Cloud ETL SQL

View details: Senior Consultant, Data Engineering SAP BW / SAP Datasphere

Germany

€60K - €100K / year

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Data Engineer, Data Bricks

Avenga

A global IT engineering and consulting company specializing in custom software development.

Data Engineer17 hours ago

Full Time Remote SeniorTeam 5,001-10,000H1B No Sponsor

Company Site LinkedIn

• Design, develop, and maintain ETL/ELT data pipelines using Databricks • Build and optimize data processing solutions in an Azure environment • Collaborate directly with the client to understand requirements and deliver technical solutions • Develop and optimize data transformations using PySpark • Work with Azure Data Factory and Jupyter Notebooks where applicable • Ensure data quality, reliability, and performance across data pipelines • Troubleshoot and resolve data-related issues • Contribute to the continuous improvement of data engineering solutions and best practices

Azure ETL PySpark Python SQL

View details: Data Engineer, Data Bricks

Slovakia

€3.8K / day

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Senior Research Consultant – Public Opinion, Political Attitudes

our common home

We are empowering people from all parts of society to build the common good for the environment.

Research Analyst17 hours ago

Contract Remote SeniorTeam 11-50Since 2022H1B No Sponsor

Company Site LinkedIn

• Make sense of social data, quantitative and qualitative, to explain people's values, attitudes, motivations, and behaviour • Design and run audience segmentation studies grounded on values and core beliefs • Design and run monitoring, evaluation, and learning (MEL) frameworks • Lead primary qualitative and quantitative social research • Design questionnaires, discussion guides, sampling plans, and data collection instruments • Organize, process, and analyze public databases and the organization's own research datasets • Translate findings into clear, compelling stories tailored to funders, policymakers, partners, and the public • Produce reports, briefs, and presentations, and create visualizations and dashboards • Take full ownership of multiple research projects

Python SQL Tableau

View details: Senior Research Consultant – Public Opinion, Political Attitudes

Brazil

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Especialista Backend, Node.js, NestJS

Heinsohn

Heinsohn Business Technology

Backend Engineer17 hours ago

Full Time Remote SeniorTeam 1,001-5,000Since 1977H1B No Sponsor

Company Site LinkedIn

• Desarrollar y mantener aplicaciones utilizando Microsoft .NET Framework. • Implementar funcionalidades con JavaScript para aplicaciones web. • Diseñar, desarrollar y optimizar consultas y procedimientos almacenados en PL/SQL. • Participar en el análisis, desarrollo, pruebas y mantenimiento de soluciones. • Corregir incidencias y proponer mejoras continuas en las aplicaciones. • Trabajar de manera colaborativa con equipos técnicos y de negocio.

JavaScript SQL .NET

View details: Especialista Backend, Node.js, NestJS

Colombia

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Ingeniero de Desarrollo Junior, Advanced .Net

Heinsohn

Heinsohn Business Technology

Backend Engineer17 hours ago

Part Time Remote JuniorTeam 1,001-5,000Since 1977H1B No Sponsor

Company Site LinkedIn

• Desarrollar y mantener aplicaciones con Microsoft .NET Framework. • Implementar funcionalidades utilizando JavaScript. • Diseñar y optimizar consultas, procedimientos y paquetes en PL/SQL. • Participar en el análisis, desarrollo, pruebas y soporte de aplicaciones. • Corregir incidencias y contribuir a la mejora continua de las soluciones.

JavaScript SQL .NET

View details: Ingeniero de Desarrollo Junior, Advanced .Net

Colombia

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