9 open positions found · Salary range: $15 - $80,000
From $25,000/yr
Our client is seeking a technically minded Business Analyst / Data Analyst to join their team on a permanent, fully remote basis. This opportunity is suited to a logical and analytical professional who enjoys working across business requirements, syste...
From $25,000/yr
Our client is seeking a technically minded Business Analyst / Data Analyst to join their team on a permanent, fully remote basis. This opportunity is suited to a logical and analytical professional who enjoys working across business requirements, syste...
$60,900 - $80,000/yr
Full-Time Opportunities | Recent Graduates Welcome | STEM OPT Candidates Welcome About the Opportunity We are seeking motivated, analytical, and detail-oriented candidates for Business Analyst and Data Analyst opportunities with U.S. employers. These opportunities are ideal for recent graduates and early-career professionals looking to apply their academic knowledge, strengthen their technical skills, and build a successful career in the United States. Candidates with educational backgrounds in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Finance, or related fields are encouraged to apply. Available Positions * Business Analyst * Data Analyst * Junior Business Analyst * Junior Data Analyst * Reporting Analyst * Business Intelligence Analyst Key Responsibilities * Collect, analyze, and interpret business and operational data. * Develop reports, dashboards, and data visualizations. * Use Microsoft Excel and SQL to analyze datasets, identify trends, and generate insights. * Gather business requirements and support process improvement initiatives. * Collaborate with stakeholders to understand business needs and recommend solutions. * Assist with KPI tracking, performance monitoring, and reporting. * Document analytical findings and communicate insights to relevant teams. * Support data-driven decision-making across business functions. Qualifications * Bachelor's or Master's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Finance, or a related field. * Working knowledge of Microsoft Excel and SQL. * Familiarity with Power BI, Tableau, Python, or other data analytics tools is a plus. * Strong analytical thinking, problem-solving, and communication skills. * Ability to work independently and collaborate effectively within a team. * Recent graduates and candidates with relevant internships, academic projects, or professional experience are encouraged to apply. Work Authorization \& Visa Sponsorship * International students and recent graduates with F-1 status, including candidates who may qualify for STEM OPT, are welcome to express interest. * Candidates who may require future employment-based visa sponsorship can also express interest. * Work authorization requirements and sponsorship availability vary by position and hiring employer. * STEM OPT eligibility and employer compliance requirements must be verified for the applicable opportunity. * Visa sponsorship is not guaranteed and is subject to the hiring employer's policies, eligibility requirements, and applicable immigration regulations. Why Apply? * Explore full-time career opportunities with U.S. employers. * Pursue roles aligned with your academic background and technical skills. * Showcase your projects, internships, analytical abilities, and professional experience. * Learn about relevant recruitment and career-support services, where applicable. How to Apply Interested candidates are encouraged to submit an updated resume highlighting their: * Educational qualifications * Technical and analytical skills * Academic projects and internship experience * Relevant professional experience * Current work authorization status * Preferred job location Apply today to explore Business Analyst and Data Analyst career opportunities in the United States! Important Information All opportunities are subject to the hiring employer's requirements, recruitment process, and applicable work authorization policies. Visa sponsorship, where available, is determined by the hiring employer and is not guaranteed for every position. Any applicable recruitment or career-support service fees will be communicated separately and transparently. Payment for career-support services does not guarantee employment, job placement, or visa sponsorship. Pay: $60,900.00 - $80,000.00 per year Benefits: * 401(k) * Visa sponsorship Work Location: In person
From $15/yr
Agence : Havas Business ScienceDescription du poste : Présente au sein du Village Havas Group et dans 15 pays, Havas DBI, en tant qu’entité de conseil en stratégie data marketing \& IA, accompagne ses clients sur un éventail large de projets basés sur l’utilisation de leurs données. Havas DBI fait partie d’un réseau global présent aujourd’hui en Europe, Amérique du Nord, Asie et Amérique Latine. Au service du business de ses clients, Havas Business Science transforme la data en actif stratégique pour des acteurs d’un grand nombre de secteurs (Orange, EDF, Groupe Crédit Agricole, Canal+, grands constructeurs automobiles, …). L’équipe regroupe les meilleurs talents du marché : consultants en stratégie data et IA, data analysts, data engineers, data scientists et experts de la data visualisation. Dans le cadre du développement de ses activités, Havas DBI France recherche un Business Analyst Data Sales B2C/B2B \& AFS pour intervenir au quotidien auprès de l’un de ses grands comptes du secteur automobile. Contexte de la mission Vous rejoignez l’équipe data dédiée à un constructeur automobile de premier plan, au sein d’un dispositif pluridisciplinaire (consultants data, data analysts, data engineers, data scientists) opérant sur une plateforme data cloud. Votre périmètre couvre les sujets Après-vente, Ventes et B2B, ainsi que la qualité des données clients intégrées à la plateforme, les sujets media et CRM étant portés par d’autres membres de l’équipe. Vous êtes l’interlocuteur data privilégié des directions métiers concernées, de la compréhension de leur besoin jusqu’à la restitution des analyses. Afin de garantir une proximité forte avec le client, la mission se déroulera en régie dans les locaux du client, avec un rythme de 3 jours de présence par semaine. Missions principales 1. Après-vente — monitoring de l’activité atelier * Exploiter et fiabiliser les données issues des ateliers de réparation (ordres de réparation, factures, pièces, main d’œuvre). * Construire et faire vivre les indicateurs clés de performance de l’activité après-vente (rétention atelier, panier moyen, fréquence de passage, taux de pénétration…). * Identifier et expliquer les déviations de performance par réseau et par concession, et formuler des recommandations actionnables. 2. Ventes — stocks, promotions et traitement des leads * Suivre les données de stocks véhicules, promotions et incentives, et mesurer leur effet sur les ventes. * Améliorer le traitement des leads : qualification, scoring de la chaleur des leads, priorisation et restitution au réseau. * Suivre et partager la conversion en vente (lead-to-order) et l’atteinte des objectifs commerciaux auprès des directions concernées. 3. B2B — firmographie et potentiel de parc * Nettoyer et consolider les données liées aux moyens et grands comptes : sirétisation, dédoublonnage, construction d’un référentiel firmographique fiable. * Sourcer et intégrer les données de parc : taille du parc, type de financement (LLD, LOA, achat) et pénétration de la marque dans le parc. * Identifier les comptes à haut potentiel et outiller les équipes commerciales B2B (scoring, ciblage, tableaux de bord). 4. Qualité des données \& socle analytique * Suivre la qualité des données clients intégrées dans la plateforme cloud : CRM, campagnes, données de navigation et d’usage des véhicules (kilométrage…). * Mettre en place des dispositifs de contrôle et d’alerte sur les ruptures de flux, les anomalies et les déviations de performance. * Contribuer à la roadmap analytics et intervenir sur le build lorsque nécessaire (modélisation SQL, documentation) afin de sécuriser la qualité et la scalabilité des analyses. 5. Restitution \& acculturation des métiers * Concevoir et maintenir des tableaux de bord (Power BI / Tableau) lisibles et directement exploitables par les directions métiers. * Développer un storytelling business permettant de rendre les analyses accessibles aux décideurs. * Accompagner l’acculturation des équipes métiers aux enjeux data et contribuer au cadrage de nouveaux besoins. 6. Transverse — ROI \& socle analytique * Mesurer le ROI des actions data menées sur le media et le CRM. * S’aligner avec le reste de l’équipe data sur les actions d’optimisation de la plateforme et de la qualité des données. Profil recherché * Formation supérieure de type Bac +4 / Bac +5 (école de commerce, école d’ingénieur, université ou équivalent), avec une spécialisation en data, analytics, marketing ou systèmes d’information. * Minimum 4 ans d’expérience en tant que Business Analyst, Data Analyst ou rôle équivalent sur des problématiques sales et après ventes (annonceur, agence media, agence CRM ou cabinet de conseil data). * Une expérience significative sur des problématiques après-vente, performance commerciale ou B2B / grands comptes est un plus. * Appétence réelle pour la gestion de projet : cadrage du besoin, priorisation, coordination des équipes techniques et métiers, recette, déploiement et conduite du changement. * Une expérience dans le secteur automobile (constructeur, distribution, financement, services) sera particulièrement appréciée — à défaut, une forte appétence pour ce secteur est nécessaire. * À l’aise dans un contexte de conseil, avec un contact client quotidien et des interlocuteurs métiers variés (équipes métiers, agences, équipes techniques). Compétences attendues Compétences techniques : * SQL : maîtrise avancée, habitude des requêtes complexes. * Plateformes data modernes, idéalement Google Cloud Platform (BigQuery) ; la connaissance de Dataform / dbt est un plus. * Data visualisation : Power BI et/ou Tableau. * Python est un plus. Compétences clés : * Capacité à comprendre rapidement des problématiques métiers spécifiques et à les traduire en modèles de données, en indicateurs et en cas d’usage d’activation. * Gestion de projet : cadrer, prioriser, coordonner équipes métiers et techniques, et tenir les engagements de délai et de qualité. * Créativité dans la résolution de problèmes liés à la donnée : sources incomplètes, réconciliation de référentiels, intégration de données tierces. * Analyse et interprétation des données à des fins décisionnelles, avec une capacité à démontrer la création de valeur / ROI. * Excellentes compétences en storytelling business et en restitution des résultats. * Appétence pour le contact client et pour l’acculturation des métiers aux enjeux data. * Bon niveau d’anglais indispensable, à l’écrit comme à l’oral (échanges avec des interlocuteurs internationaux). Venez vivre une expérience unique avec nous. * Au sein du groupe Havas, vous rejoindrez un vaste réseau qui rassemble des talents du monde entier pour répondre au mieux aux besoins de nos clients. * Chaque Havas Village rassemble sous un même toit des talents dans les domaines de la création, des médias, du digital, du design et de l'activation, ce qui nous permet de fournir un service agile, homogène et intégré à nos clients sur chaque marché, tout en s'appuyant sur le talent et le soutien des autres Havas Village du monde entier. * Nous sommes situés au cœur du Havas Village France : 29/30 Quai de Dion Bouton à * Jusqu’à 2 jours de télétravail par semaine, et des locaux (réellement) confortables et modernes lorsque vous êtes à l’agence. * + Restaurant d’entreprise - Roots, et cafétéria avec offres Starbucks. * ️ 25 jours de congés payés + 15 RTT par an. * De nombreux avantages grâce au groupe Havas (goûter, soirée agence, CSE (offres promotionnelles sur les loisirs, voyages, etc.) service de conciergerie, conférences inspirantes, salle de sport intégrée \& activités sportives, politique mobilité durable très avantageuse, afterwork Havas, avant-premières cinéma, etc.). #LI-LS1 Type de contrat : CDIVous intégrerez une entreprise garantissant l'égalité des chances et qui valorise la diversité.
From $37/yr
Job Title: Business Data Analyst Client Location: Central London - Hybrid (3 on-site days/week) Starting: ASAP Pay Comments: PAYE - 37.5 hrs/week Minimum Pay (per day): 200.00 Maximum Pay (per day): 217.00 Duration: 10 months Job Description: Aquent is partnering with a leading global technology company that is revolutionising how individuals and businesses manage their financial lives. This innovative organisation is deeply committed to customer success, leveraging data-driven strategies to enhance experiences and drive operational excellence across diverse international markets. They are at the forefront of integrating AI into their core workflows, transforming how they generate insights and automate processes. We are seeking a highly motivated and forward-thinking Data Analyst to join a dynamic team dedicated to building cutting-edge data capabilities. In this pivotal role, you won't just analyse data; you'll be instrumental in shaping strategy, enabling actionable insights, and establishing robust, AI-ready data foundations that scale across multiple regions. You will be at the heart of improving how this company measures and delivers customer success, directly influencing Customer Experience, Digital Experience, Service Delivery, and Supportability, all while working with groundbreaking AI-native analytics. This is a 10-month hybrid contract, offering up to £217.09 per day (PAYE). Shortlisted candidates will be contacted by COB Monday, 7th September. Due to the number of applications, we’re unable to get back to each candidate individually. Key Responsibilities * Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions and governance tailored for international markets. * Develop data capabilities that function consistently across multiple regions and countries, while adapting to specific local requirements (e.g., regulatory, language, or workflow differences). * Automate recurring reporting and validation processes to boost accuracy and efficiency, ensuring data structures and taxonomies are optimized for downstream AI consumption and model-readiness. * Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics, designing reporting that connects metrics across the entire customer journey rather than in isolated silos. * Deliver deep-dive analytics by conducting root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies. * Translate analytical findings into actionable recommendations that improve customer journeys, optimise staffing and routing decisions, and reduce escalations. * Advance AI-native analytics by leveraging Generative AI tools to automate recurring insight generation, support AI-powered summarisation and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation. * Enable experimentation and continuous improvement by supporting A/B testing and digital experience evaluations, analysing performance outcomes, and quantifying customer and business impact. * Provide baseline metrics, monitor results, and deliver insights to scale successful initiatives, including evaluating the performance and customer impact of AI-assisted and digital experiences. * Influence strategy through compelling storytelling, communicating insights and trends clearly and persuasively to both technical and non-technical stakeholders to ensure alignment on decisions that enhance customer experience, digital adoption, operational performance, and supportability. Required Skills \& Experience * Solid experience in Data Analytics or Data Science, with ideal exposure to Customer Success, Operations, or Digital Experience domains. * Proficiency in SQL for data extraction, transformation, and pipeline development. * Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). * Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. * Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. * Strong problem-solving skills with the ability to balance strategic priorities and tactical execution. * Ability to manage multiple projects simultaneously in a fast-paced environment. * Proactive and growth-oriented mindset, consistently identifying opportunities for innovation. Nice-to-Have Skills * Experience with Python or R for advanced analytics, automation, or experimentation support. * Knowledge of statistical methods and experimentation (e.g., A/B testing). * Machine learning and Generative AI experience. * A genuine enthusiasm for Generative AI and a growth mindset toward how emerging tools can accelerate analytical work, actively curious about how LLMs, AI-native workflows, and intelligent automation can enhance impact. * Hands-on experience applying Generative AI to analytics workflows (e.g., automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines). * Experience working with call centre and/or digital support KPIs. * BS or MS in an appropriate quantitative field. Client Description: Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity \& is proudly an equal opportunities employer. We encourage applications from under-represented groups \& are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
From $375/yr
Data Business Analyst £375 to £450 per day | Inside IR35 | 6-month contract Reading | Hybrid, 1 to 3 days onsite per week We’re supporting a leading consultancy on a data-focused transformation programme and are looking for a Data Business Analyst with strong utilities sector experience to join the team. This is an opportunity to work across business and data teams, helping to understand operational challenges, improve processes and ensure data solutions meet business requirements. What you’ll be doing as a Data Business Analyst: * Working with business and technical stakeholders to gather and define data requirements. * Supporting workforce management initiatives, identifying opportunities to improve operational processes. * Translating business needs into clear requirements for data tools and solutions. * Analysing existing processes, identifying gaps and recommending improvements. * Bridging the gap between business teams and technical delivery teams. What we’re looking for: * Previous experience as a Business Analyst within the utilities sector. This is essential. * Experience working on data-focused projects, including data tooling and systems. * Exposure to workforce management processes or initiatives. * Strong stakeholder management and requirements-gathering skills. * Comfortable working across business and technical teams. Get in touch with Connor Smyth to hear more.
From $257/yr
Ireland - Dun Laoghaire JOB ID: R-257435 LOCATION: Ireland - Dun Laoghaire WORK LOCATION TYPE: Flex Commuter / Hybrid DATE POSTED: Oct. 05, 2026 CATEGORY: Operations SALARY RANGE: 73,580.25 EUR - 99,549.75 EUR What You Will Do Let’s do this. Let’s change the world. At Amgen Ireland, we are transforming our manufacturing operations through Data \& Analytics, Digital Automation, and emerging AI capabilities. We are looking for a hands-on, delivery-focused analyst to support the design, development, and deployment of digital solutions that directly impact manufacturing performance. You will work closely with Manufacturing, Engineering, Quality, and IS teams to translate business needs into structured requirements, support solution delivery, and ensure systems and analytics solutions are effectively implemented in a regulated environment. This role is ideal for someone who enjoys working at the intersection of business and technology, bringing structure to ambiguity and driving execution in fast-paced operational settings. Work Model At Amgen, we support flexible work arrangements that enable high performance and personal well-being. This role operates within a hybrid model; however, due to the nature of manufacturing operations, regular on-site presence at our Dun Laoghaire facility is required to effectively collaborate with stakeholders and support solution delivery. Who You Are You are a pragmatic and detail-oriented analyst who enjoys solving real-world operational problems. You are comfortable working directly with business stakeholders, understanding their needs, and translating them into clear, actionable requirements. You take ownership of delivery and follow-through, ensuring that solutions are not only built but also validated, compliant, and adopted. You are curious about new technologies such as AI and automation, and eager to apply them in practical, value-driven ways. Key Responsibilities * Work with Manufacturing, Engineering, and Quality teams to capture demand, clarify requirements, and structure use cases for digital, analytics, and automation initiatives. * Create and manage user stories, acceptance criteria, and backlogs, ensuring alignment with business priorities and Agile delivery practices. * Support solution delivery lifecycle, including testing, validation, and release coordination in line with SDLC and GxP requirements. * Collaborate with developers, data engineers, and data scientists to ensure requirements are clearly understood and implemented. * Support validation activities, documentation, and compliance processes required for regulated systems. * Contribute to digital automation and AI use cases, including hands-on support using tools such as ChatGPT, scripting, or low-code/no-code platforms where appropriate. * Assist in process mapping, data analysis, and continuous improvement initiatives to enhance manufacturing performance. What We Expect of You Required Experience and Skills: * Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, with 5+ years of experience in Information Systems, Digital, or Data \& Analytics roles. * Strong experience in business analysis, requirements gathering, and process mapping. * Experience working in Agile environments, including user story creation, backlog management, and sprint support. * Understanding of software development lifecycle (SDLC) and experience supporting testing and validation activities. * Experience working in regulated environments (GxP, data integrity, validation) or strong willingness to learn. * Strong communication and stakeholder engagement skills. * Analytical mindset with the ability to structure problems and work with data. * Fluency in written and spoken English. Preferred Experience and Skills: * Experience in pharmaceutical, biotechnology, or manufacturing environments. * Exposure to data analytics, visualization tools, or SQL/Python. * Experience with digital automation tools, scripting, or low-code platforms. * Interest or experience in AI/ML or Generative AI (e.g., ChatGPT) applied to business problems. * Familiarity with continuous improvement methodologies (LEAN, Kaizen). * Experience working in cross-functional and matrix environments. What You Can Expect of Us As we work to develop treatments that take care of others, we also care for your professional and personal growth and well-being. * Opportunities to learn, grow, and develop within a global organisation * A collaborative and inclusive environment where ideas are encouraged * A competitive Amgen Total Rewards Plan * Flexible work arrangements aligned to role and business needs
$40 - $55/yr
Jr. Business Analyst – Enterprise Data Employment Type: Full-time Location: Remote Travel Required: No About Kaizen Kaizen Global is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact. Job Description The Business Analyst is a Kaizen consultant placed on client engagements, working as part of a client’s Enterprise Data team. You’ll work with a blended team of Kaizen and client staff, including business stakeholders, data engineers, BI developers, and product owners, to deliver data and analytics solutions. In this role, you’ll turn client business needs into clear requirements, document and improve analytical processes, and keep development work organized and moving in Jira. You’ll report to a Kaizen engagement lead and get direction from senior Kaizen analysts and leads. Over time, you’ll own requirements for defined workstreams and become a trusted point of contact for client stakeholders. Key Responsibilities Requirements and Backlog Management* Gather and document requirements through client stakeholder interviews, working sessions, and reviews of existing documentation * Write user stories with clear acceptance criteria and keep them current in Jira * Work with senior BAs and product owners to refine and prioritize the backlog * Track requirements from intake through development and testing so nothing gets lost Analytical Process Analysis and Improvement* Learn and break down the client’s core business processes – often analytical in nature – that help run the business. This includes key reporting, core system process enhancements, KPI calculations, and data handoffs * Find pain points, manual workarounds, data quality gaps, and chances to simplify or automate * Help shape solution options and recommend improvements with the data and BI teams Process Documentation* Map current-state and future-state workflows using process flows and swimlane diagrams * Keep documentation clear and current in Confluence or team repositories Data and Analytics Solution Support* Quickly build a working knowledge of each client’s data landscape: source systems, pipelines, the data warehouse, and reporting layers * Document data definitions, business rules, source-to-target mappings, and data dictionaries * Write basic SQL queries to explore data, validate requirements, and support testing * Review, troubleshoot, or build basic Power BI reports and DAX measures to understand how metrics are calculated and shown * Create low-fidelity wireframes so stakeholders agree on a design before development starts Core BA Artifacts* Help create the BRDs, functional specifications, user stories, process maps, data mappings, and test cases that development and business teams rely on * Support UAT by drafting test scenarios, coordinating testers, and logging and tracking defects Sprint and Long-Term Planning* Take part in sprint planning, backlog refinement, standups, and retrospectives * Help break epics into stories and size work with the delivery team * Support quarterly and roadmap planning by organizing requirements, dependencies, and priorities Client Engagement and Kaizen Contribution* Represent Kaizen professionally with client teams and build strong working relationships * Keep the Kaizen engagement lead updated on progress, risks, and scope questions * Follow Kaizen delivery standards and contribute to internal templates, best practices, and knowledge sharing * Pick up new client environments, tools, and business domains quickly as engagements change Qualifications* Bachelor’s degree in Business, Information Systems, Analytics, or a related field * 1 to 3 years of experience in business analysis, data analysis, or a related role * Basic understanding of data concepts such as tables, joins, data models, and metrics * Strong writing skills, with the ability to turn unclear input into clear, structured requirements * Clear, confident communication with both business and technical audiences * Curiosity about how the business runs and how data supports decisions * Interest in consulting and comfort working across different clients, industries, and team setups * Organized and detail-oriented, and comfortable asking questions * Familiarity with the following tools: + Microsoft Office: Excel, Word, PowerPoint (strong Excel skills expected) + Jira: creating and managing stories and epics (Confluence a plus) + Power BI: basic report building and DAX + SQL: basic querying and data validation + Diagramming: Visio, Figma, Lucidchart, Miro, or similar Kaizen Global is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law. VikTdTbwWZ
From $100/yr
<p>Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.</p> <p> </p> <p><strong>About This Job</strong></p> <p>Join a high-impact AI and Data transformation initiative with a leading banking client in Singapore. As a Business Analyst, you’ll help shape how data is discovered, accessed and enabled for AI use cases. Working across data platforms, integration, reusable data products and risk. You’ll collaborate with business, technology, data and risk teams to simplify the data enablement journey and turn complex requirements into practical, scalable solutions.</p> <p><strong>What You'll Get To Do</strong></p> <ul> <li>Shape and improve the <strong>AI Data Enablement process</strong>, making it easier and faster for AI teams to discover, access and use trusted data.</li> <li>Gather and translate requirements across <strong>data access, data platforms and integration</strong> into clear, actionable solutions.</li> <li>Help define and deliver <strong>reusable data products</strong>, with a focus on data discovery, quality, governance and risk.</li> <li>Partner with business, Data, AI/ML, Technology and Risk teams to align requirements and drive delivery.</li> <li>Define and manage <strong>scope, priorities, dependencies and timelines</strong>, proactively identifying and resolving delivery blockers.</li> <li>For Senior hires, lead complex workstreams and help shape the roadmap and target-state data enablement approach.</li> </ul> <p><strong>What You’ll Bring With You</strong></p> <ul> <li>Bachelor’s degree in business, Finance or related field</li> <li>5+ years of Business Analyst with experience in data, AI/analytics, or technology transformation.</li> <li>Strong understanding of <strong>data platforms, data access, integration and data products</strong>.</li> <li>Experience with <strong>data discovery, governance, quality, lineage and/or data risk</strong>.</li> <li>Ability to turn complex business needs into clear <strong>requirements, processes and delivery plans</strong>.</li> <li>Strong stakeholder management skills across business and technical teams.</li> <li>Experience in <strong>banking, financial services or regulated environments</strong> is essential.</li> <li>Exposure to <strong>AI/ML, GenAI or AI Data Enablement</strong> initiatives is highly desirable.</li> </ul> <p> </p> <p><strong>Eligibility to Work in Singapore<br><br></strong>Applicants must have unrestricted working rights in Singapore. Only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered. Employment Pass sponsorship is not available for this role.<strong><br><br>WHY CAPCO?</strong><strong> <br><br></strong>We are expanding our business rapidly across Singapore and Asia. You will work on engaging projects with some of the largest banking and insurance clients in the world, projects that will deliver significant transformation and change.<br><br><strong>We Offer<br><br></strong>You will join a company that supports and encourages an entrepreneurial outlook and independent thinking. Capco is not about organizational charts and layers – we operate with little hierarchy because we want all employees to feel that Capco is their firm. We warmly value diversity and inclusion and embrace our collective uniqueness – our culture is a strong, fresh, and invigorating difference from our competitors.<br><br>We offer highly competitive benefits, including medical and dental insurance and a work culture focused on innovation and creation of lasting value for our clients and employees.</p>
View detailed salary ranges from 9 listings with reported compensation ›
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