{ "count" : 86776, "data" : [ { "id" : "6a2c956174d8ee00a098cf8a", "title" : "Research Operations Specialist", "company" : "M1 Technology", "industry" : "Consulting", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Operations Specialist in Herndon, United States, adjusted for government industry and company size." }, "location" : "Herndon, Virginia, United States", "locations" : [ "Herndon", "Virginia", "United States" ], "timestamp" : "2026-06-15T10:14:29.487", "fingerprint" : "9b7a7d0fc451e52f8ff2d13086a391302d96867395b7d8cf217f9a5b4198d210", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://m1technology.com/careers?gh_jid=4250115009", "externalId" : "4250115009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "experienceMinYears" : 1, "experienceMaxYears" : 5, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Document analysis", "Quality assurance", "Research techniques" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Document analysis", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Research techniques", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Process management, Cross-functional coordination, Vendor management, Stakeholder management", "majorSkillsList" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management" ], "coreResponsibilities" : "Review documents, Identify duplicate documents, Assess document duplicates, Record decisions, Create memoranda, Create written reports, Document results of studies, Document investigations, Document recommendations, Scan documents, Provide electronic response, Maintain classified library, Archive documents", "teamCollaboration" : "Collaborate with clients; Collaborate with colleagues; Collaborate with technical teams", "domainKnowledge" : "Intelligence Community; Document Library; Classified library", "domainList" : [ "intelligence-community", "document-library", "classified-library" ], "domainSpecificKnowledge" : [ "Intelligence Community", "Document Library", "Classified library" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Written reports", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "TS/SCI with Polygraph", "outcomesObjectives" : "Provide retrievable copies of documents; Provide intelligence reporting; Provide reference services", "qualificationsBasic" : "1-5 years experience searching/querying databases, Ability to adjust to new systems, Driven self-starter, Preemptive in seeking clarification, Capability to adapt to new processes, Team player, Skilled in time management, Ability to prioritize competing tasks, Multitask to meet deadlines, Goal oriented individual, Apply critical thinking, Provide out of the box solutions, Experience with data calls, Experience with quick reaction tasks, Communicate effectively with peers, Communicate with management levels, Proactive experience and approach, High quality services for stakeholders", "qualificationsPreferred" : "Significant prior customer knowledge, Relatable experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "M1 Technology, LLC is a technology consulting firm specializing in delivering software systems that support our clients’ mission needs. We partner with federal and commercial organizations to provide high-impact technology solutions and exceptional service. Founded in 2016, M1 Technology’s vision is simple and unwavering: connect mission-first individuals to deliver meaningful outcomes for government clients while creating an exceptional home for our employees. Our team is seeking a talented Research Operations Specialist that has a solid grasp of industry research techniques and understanding of the Intelligence Community. The mission of the team is to run queries and do intense research to provide retrievable copies of document(s) collected or produced by the customer, sometimes referred to as the Document Library. Collections can include a variety of forms including, but not limited to: electronic, hardcopy, microfilm, and on-line full text database. This position is the focal point for providing intelligence reporting and reference services to the entire IC. The right candidate must have significant prior customer knowledge and relatable experience that they are able to utilize in order to perform the research. He or she will then analyze the results requiring the constant exercise of discretion and to determine applicability of the documents to the tasking, providing results in accordance with customer guidelines. The individual will maintain the classified library and archive documents when appropriate. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities: Electronically review a subset of newly processed documents, identify potential duplicate documents in the existing document repository. Assess document duplicates and record decisions in the customer's automated system. The customer will provide training in duplicate document detection processing. Create memoranda or written reports documenting the results of quality assurance studies and investigations and associated recommendations including remediation. Scanning documents to provide customers with an electronic response when necessary. Required Qualifications: 1-5 years experience of searching/querying databases with ability to quickly adjust to new systems. Driven self-starter who is preemptive in seeking clarification when needed and the capability to adapt to new processes. Must be a team player willing to collaborate and develop robust relationships with clients, colleagues and technical teams. Skilled in time management with the ability to prioritize competing tasks and multitask in order to meet tight deadlines. Goal oriented individual who is able to apply critical thinking and provide out of the box solutions. Experience with data calls and quick reaction tasks Ability to communicate effectively with peers and various management levels delivering a proactive experience and approach to high quality services for all stake holders. Why Work at M1? Engage in meaningful, mission-oriented work with national impact Collaborate with top-tier professionals in a high-performance environment Work on cutting-edge projects with the latest technology Enjoy a culture of innovation, integrity, and technical excellence", "summaryDescription" : "Research Operations Specialist at M1 Technology. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management. Review documents. Identify duplicate documents", "postedDate" : "2026-06-13T20:51:22.974", "createdAt" : "2026-06-13T20:51:22.974", "lastUpdated" : "2026-06-15T10:14:29.487", "ingestTimestamp" : "2026-06-13T20:51:22.974", "mongoId" : "6a2c956174d8ee00a098cf8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Document analysis", "Quality assurance", "Research techniques", "Critical thinking", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Intelligence Community", "Document Library", "Classified library" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 648.0368, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30704af292fd229cff2fd7", "title" : "HR Operations Specialist", "company" : "Qube Research & Technologies", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for HR Operations Specialist in London, adjusted for mid-seniority and the finance industry." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:47:54.919", "fingerprint" : "5ba81a7f1b72dc11536cbf58ce60b5cfe6cbec9155b7f29ae08a16866ebe6f44", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8589388002", "externalId" : "8589388002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "rawDescription" : "Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Join our HR team in London as an HR Operations Specialist. In this role, you will support employee lifecycle activities while delivering a high-quality employee experience. Working closely with colleagues across HR, you will help ensure that processes are efficient, scalable, and aligned with the needs of the business. Your future role at QRT: Facilitate operational processes across the employee lifecycle, including background screening, immigration support, onboarding, offboarding, transfers, and HRIS updates Deliver high-quality support to employees and HR Business Partners across a broad range of HR and employee experience matters Partner with Compensation, Payroll, Global Mobility, and Talent Development teams on cross-functional initiatives and process improvements Maintain accurate employee data and help ensure data accuracy and consistency across HR systems and processes Drive process enhancements and automation initiatives that improve efficiency, scalability, and the employee experience Your present skillset: Degree-level qualification, ideally in Human Resources, Business, Psychology, or a related field Proven experience in HR Operations or a similar employee-facing HR function Awareness of multi-jurisdictional employment law, specifically within the EMEA region Experience working with HR systems, ticket management platforms, and workflow automation tools Experience with Workday is highly desirable Demonstrated problem solving and project management skills High attention to detail, with a focus on accuracy and precision Collaborative team mindset, with a focus on supporting colleagues across HR and the wider business Excellent written and verbal communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.", "summaryDescription" : "HR Operations Specialist at Qube Research & Technologies", "postedDate" : "2026-06-16T01:20:20.223", "createdAt" : "2026-06-16T01:20:20.223", "lastUpdated" : "2026-06-16T10:47:54.919", "ingestTimestamp" : "2026-06-16T01:20:20.223", "mongoId" : "6a30704af292fd229cff2fd7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 622.9253, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6174d8ee00a0911fc7", "title" : "Director of People Technology, Data & Operations", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T06:22:18.830", "fingerprint" : "e74ff96f1f4009b9d19fe36e34b4813658fd6e958ba4683437460b4e1eb3a144", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4678885006", "externalId" : "4678885006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "People Operations", "HR Technology", "People Data", "System implementation", "Process design", "Workforce analytics", "Data integration", "AI adoption", "Operational compliance", "Cross-functional alignment" ], "hardSkillsList" : [ "HRIS implementation", "Service desk deployment", "Data pipelines", "Workforce reporting", "Background checks", "Right-to-work verification", "Regulatory data collection", "U.S. workforce reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "HRIS implementation", "level" : "intermediate" }, { "name" : "Service desk deployment", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Workforce reporting", "level" : "intermediate" }, { "name" : "Background checks", "level" : "intermediate" }, { "name" : "Right-to-work verification", "level" : "intermediate" }, { "name" : "Regulatory data collection", "level" : "intermediate" }, { "name" : "U.S. workforce reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "People Technology, People Operations, People Data, AI Adoption", "majorSkillsList" : [ "People Technology", "People Operations", "People Data", "AI Adoption" ], "coreResponsibilities" : "Own People technology stack, Implement HRIS, Deploy AI service desk, Manage platform governance, Manage platform integration, Manage platform access, Design scalable workflows, Document scalable workflows, Operationalize scalable workflows, Manage recruiting operations, Manage offer management, Manage onboarding, Manage job changes, Manage compensation changes, Manage offboarding, Build People data foundation, Develop dashboards, Develop automated pipelines, Develop workforce analytics, Integrate People data with Finance, Integrate People data with BI, Integrate People data with analytics platforms, Support headcount planning, Support operational scaling, Support executive decision-making, Drive AI adoption, Identify AI tool use cases, Establish audit readiness, Establish operational compliance, Partner with Talent Acquisition, Partner with Legal, Partner with Finance", "teamCollaboration" : "Work with Finance; Work with Legal; Work with Business Intelligence; Partner with Talent Acquisition; Partner with Legal; Partner with Finance", "projectManagementSkills" : [ "Multi-workstream programs" ], "domainKnowledge" : "Clinical AI; Medicare seniors; Chronic disease; Health system EMRs; Clinical Intelligence platform; AI agents; Clinical decision-making; People function scaling; Workforce intelligence; Operational clarity; Employee lifecycle; Compliance requirements; High-growth technology; Remote environments; High-autonomy environments; Structured workflows", "domainList" : [ "clinical-ai", "medicare-seniors", "chronic-disease", "health-system-emrs", "clinical-intelligence-platform", "ai-agents", "clinical-decision-making", "people-function-scaling", "workforce-intelligence", "operational-clarity", "employee-lifecycle", "compliance-requirements", "high-growth-technology", "remote-environments", "high-autonomy-environments", "structured-workflows" ], "domainSpecificKnowledge" : [ "Clinical AI", "Medicare seniors", "Chronic disease", "Health system EMRs", "Clinical Intelligence platform", "AI agents", "Clinical decision-making", "People function scaling", "Workforce intelligence", "Operational clarity", "Employee lifecycle", "Compliance requirements", "High-growth technology", "Remote environments", "High-autonomy environments", "Structured workflows" ], "toolProficiency" : [ "Gemini", "Notion AI" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Deliver margin improvement; Deliver operational clarity", "qualificationsBasic" : "10+ years People Operations experience, 10+ years HR Technology experience, 10+ years People data experience, Experience implementing HRIS platforms, Experience managing HR technology ecosystems, Experience designing scalable HR operations, Experience building workforce analytics dashboards, Experience building reporting pipelines, Experience driving cross-functional alignment, Experience building remote environments, Experience operating in high-autonomy environments, Fluency with AI productivity tools", "qualificationsPreferred" : "Experience integrating with Finance systems, Experience integrating with BI systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Director of People Technology, Data & Operations to build and own the operational infrastructure that scales Cadence's People function alongside the company. This is a strategic and deeply hands-on role. You will own the People technology ecosystem, design and systematize end-to-end people operations processes, and build the data and reporting foundation that connects workforce intelligence to Finance and company-wide business decisions. You will report to People leadership and work closely with Finance, Legal, and Business Intelligence to ensure the People function delivers margin improvement and operational clarity - not just administrative support. What You'll Do Own the full People technology stack - including HRIS implementation, AI-powered service desk deployment, and ongoing governance, integration, and access management across all platforms. Design, document, and operationalize scalable workflows and SOPs across the full employee lifecycle: recruiting operations, offer management, onboarding, job and compensation changes, and offboarding. Build the People data and reporting foundation - developing dashboards, automated pipelines, and workforce analytics that give People leadership, Finance, and executives clear, actionable insight into hiring, retention, and compensation. Integrate People data with Finance, Business Intelligence, and company-wide analytics platforms to support headcount planning, operational scaling, and executive decision-making. Drive significant AI adoption across the People function and the broader business - identifying where AI tools reduce manual work, increase throughput, and raise the bar on operational quality. Establish audit readiness and operational compliance across background checks, right-to-work verification, regulatory data collection, and required U. S. workforce reporting. Partner with Talent Acquisition, Legal, and Finance to align People systems and programs with company growth objectives and compliance requirements. What You Need 10+ years of progressive experience across People Operations, HR Technology, and People data in high-growth technology companies. Demonstrated experience implementing and managing HRIS platforms and end-to-end People technology ecosystems. Experience designing scalable HR operations including workflows, SOPs, service delivery models, and compliance frameworks. Strong analytical skills and a track record of building workforce analytics dashboards and reporting pipelines integrated with Finance or BI systems. Proven ability to drive cross-functional alignment across Finance, Legal, and executive stakeholders on people programs and systems decisions. Experience building and operating in a fully remote, high-autonomy environment with accountability for outcomes across complex, multi-workstream programs. Fluency with AI productivity tools (such as Gemini, Notion AI, or comparable platforms) and comfort applying them to structured workflows, reporting, and process documentation. Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $200,000 - $300,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Director of People Technology, Data & Operations at Cadence Solutions. Skills: People Technology, People Operations, People Data, AI Adoption. Own People technology stack. Implement HRIS", "postedDate" : "2026-06-14T20:08:35.142", "createdAt" : "2026-06-14T20:08:35.142", "lastUpdated" : "2026-06-16T06:22:18.830", "ingestTimestamp" : "2026-06-14T20:08:35.142", "mongoId" : "6a2c6b6174d8ee00a0911fc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "HRIS implementation", "Service desk deployment", "Data pipelines", "Workforce reporting", "Background checks", "Right-to-work verification", "Regulatory data collection", "U.S. workforce reporting", "Leadership", "People Technology", "People Operations", "People Data", "AI Adoption", "HR Technology", "System implementation", "Process design", "Workforce analytics", "Data integration", "AI adoption", "Operational compliance", "Cross-functional alignment", "Multi-workstream programs", "Clinical AI", "Medicare seniors", "Chronic disease", "Health system EMRs", "Clinical Intelligence platform", "AI agents", "Clinical decision-making", "People function scaling", "Workforce intelligence", "Operational clarity", "Employee lifecycle", "Compliance requirements", "High-growth technology", "Remote environments", "High-autonomy environments", "Structured workflows", "Gemini", "Notion AI" ], "skillCount" : 40, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 606.0306, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30992bf292fd229c0e7370", "title" : "Clinical Technology Specialist", "company" : "ForTec Medical", "industry" : "Medical Device", "salary" : { "min" : 78000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Technology Specialist in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T12:32:51.398", "fingerprint" : "8d737b0b8b812d4501a80487ff085e170bddb37d149498a324b737c03d337d58", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ForTecMedical2/744000132284319-clinical-technology-specialist", "externalId" : "744000132284319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ForTec Medical is an industry leader, dedicated to improving patient health. Our Mission is to improve patient health and healthcare by delivering innovative surgical technologies on demand. ForTec’s commitment to excellence, integrity, and positive culture defines our organization. Join us in shaping the future of healthcare while growing your career in a supportive, mission-focused environment. What We Offer: At ForTec, caring for others starts with caring for our team. That’s why our benefits go beyond the basics: * Paid Time Off: Company paid holidays, a floating holiday, and generous paid time off. * Health & Wellness Support: Medical, dental, vision, short- and long-term disability, life insurance, critical illness insurance, accidental injury insurance, and a Health and Wellness Program. * Future Planning: 401(k) with company match, annual profit-sharing opportunities, and free financial advising resources. * Extras That Matter: Free Teladoc account, employee assistance programs, and uniforms for field team members. Employee referral bonuses, tenure milestone awards, holiday bonuses, and performance-based recognition and reward opportunities. As a Clinical Technology Specialist , you will play a vital role in ensuring the successful use of advanced, innovative surgical technologies. We offer comprehensive training to equip you with the skills and confidence to thrive in your role. Primary Responsibilities: * Set up and operate surgical technologies to provide technical equipment guidance as needed to surgeons and staff before and during surgery * Perform preoperative checklists, sterilization, equipment calibrations, and complete necessary documentation * Load and transport surgical technologies to healthcare facilities. Driving is an everyday responsibility of this role with occasional overnight travel * Practice safe vehicle operations, safe workplace practices, and laser safety techniques * Meet customer needs, provide exceptional customer service, and foster strong, professional relationships with both ForTec team members and healthcare partners ## Qualifications Requirements: * Must be able to work a flexible schedule with early mornings, evening cases, and occasional weekend coverage or overnight travel * Professional demeanor and strong team-oriented mindset * Must be able to meet the credentialing requirements of assigned medical facilities, which include client-required immunizations * Basic computer/smartphone proficiency * High School diploma or equivalent * Must hold a valid U.S. driver’s license with no major violations * Ability to push, pull, and manipulate medical equipment over 50 pounds * Ability to frequently bend, stoop, sit, and stand for long periods of time What You Need to Be Successful : * Ability to work independently * Self-starter with excellent problem-solving abilities * Outstanding communication and customer service skills * Strong organizational skills with a high attention to detail Preferred Background: * If you have prior medical, EMT, Surgical Technologist, or military experience, your background can provide a smooth transition into the clinical technology specialist role. * If you have experience working long days, unpredictable schedules, early mornings, and are eager to learn, we will train you! Join ForTec Medical – make YOUR impact today! ## Additional Information All your information will be kept confidential according to EEO guidelines. The Company is an equal opportunity employer. As such, we provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, citizenship, ethnicity, national origin, age, disability, pregnancy, genetic information, sexual orientation, status as a member of the United States armed forces, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.", "summaryDescription" : "Clinical Technology Specialist at ForTec Medical", "postedDate" : "2026-06-15T20:54:42.000", "createdAt" : "2026-06-16T03:36:09.001", "lastUpdated" : "2026-06-16T12:32:51.398", "ingestTimestamp" : "2026-06-16T03:36:09.001", "mongoId" : "6a30992bf292fd229c0e7370", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 586.5426, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30739ff292fd229c002f5d", "title" : "Clinical Technology Specialist", "company" : "ForTec Medical", "industry" : "Medical Device", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Technology Specialist in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T11:55:12.515", "fingerprint" : "80a379d762645571545c8bded5c54bdcaf62addaec06e8357bd064f01403a687", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ForTecMedical2/744000132284319-clinical-technology-specialist", "externalId" : "744000132284319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ForTec Medical is an industry leader, dedicated to improving patient health. Our Mission is to improve patient health and healthcare by delivering innovative surgical technologies on demand. ForTec’s commitment to excellence, integrity, and positive culture defines our organization. Join us in shaping the future of healthcare while growing your career in a supportive, mission-focused environment. What We Offer: At ForTec, caring for others starts with caring for our team. That’s why our benefits go beyond the basics: * Paid Time Off: Company paid holidays, a floating holiday, and generous paid time off. * Health & Wellness Support: Medical, dental, vision, short- and long-term disability, life insurance, critical illness insurance, accidental injury insurance, and a Health and Wellness Program. * Future Planning: 401(k) with company match, annual profit-sharing opportunities, and free financial advising resources. * Extras That Matter: Free Teladoc account, employee assistance programs, and uniforms for field team members. Employee referral bonuses, tenure milestone awards, holiday bonuses, and performance-based recognition and reward opportunities. As a Clinical Technology Specialist , you will play a vital role in ensuring the successful use of advanced, innovative surgical technologies. We offer comprehensive training to equip you with the skills and confidence to thrive in your role. Primary Responsibilities: * Set up and operate surgical technologies to provide technical equipment guidance as needed to surgeons and staff before and during surgery * Perform preoperative checklists, sterilization, equipment calibrations, and complete necessary documentation * Load and transport surgical technologies to healthcare facilities. Driving is an everyday responsibility of this role with occasional overnight travel * Practice safe vehicle operations, safe workplace practices, and laser safety techniques * Meet customer needs, provide exceptional customer service, and foster strong, professional relationships with both ForTec team members and healthcare partners ## Qualifications Requirements: * Must be able to work a flexible schedule with early mornings, evening cases, and occasional weekend coverage or overnight travel * Professional demeanor and strong team-oriented mindset * Must be able to meet the credentialing requirements of assigned medical facilities, which include client-required immunizations * Basic computer/smartphone proficiency * High School diploma or equivalent * Must hold a valid U.S. driver’s license with no major violations * Ability to push, pull, and manipulate medical equipment over 50 pounds * Ability to frequently bend, stoop, sit, and stand for long periods of time What You Need to Be Successful : * Ability to work independently * Self-starter with excellent problem-solving abilities * Outstanding communication and customer service skills * Strong organizational skills with a high attention to detail Preferred Background: * If you have prior medical, EMT, Surgical Technologist, or military experience, your background can provide a smooth transition into the clinical technology specialist role. * If you have experience working long days, unpredictable schedules, early mornings, and are eager to learn, we will train you! Join ForTec Medical – make YOUR impact today! ## Additional Information All your information will be kept confidential according to EEO guidelines. The Company is an equal opportunity employer. As such, we provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, citizenship, ethnicity, national origin, age, disability, pregnancy, genetic information, sexual orientation, status as a member of the United States armed forces, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.", "summaryDescription" : "Clinical Technology Specialist at ForTec Medical", "postedDate" : "2026-06-15T20:54:42.000", "createdAt" : "2026-06-16T01:35:56.348", "lastUpdated" : "2026-06-16T11:55:12.515", "ingestTimestamp" : "2026-06-16T01:35:56.348", "mongoId" : "6a30739ff292fd229c002f5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 586.5426, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306021f292fd229cf8619a", "title" : "Clinical Data Specialist", "company" : "Iterative Health", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Clinical Data Specialist in Cambridge, United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States", "Dallas HQ", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T07:50:02.004", "fingerprint" : "41ed16a45f5732b3e5ac6eadcdce4ab1f5128deee0fa2c57b2744365b2182d1d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iterativehealth/jobs/4687877006", "externalId" : "4687877006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "EHR, CTMS, CRM", "professionalSkills" : [ "Clinical documentation", "Patient recruitment", "Data management", "Operational coordination" ], "hardSkillsList" : [ "Data entry", "Database maintenance" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Database maintenance", "level" : "intermediate" } ], "majorSkills" : "Clinical research, Data analysis, Patient identification", "majorSkillsList" : [ "Clinical research", "Data analysis", "Patient identification" ], "coreResponsibilities" : "Review electronic health records, Identify patients for studies, Interpret study protocols, Interpret eligibility criteria, Determine appropriate patient populations, Build databases of participants, Maintain databases of participants, Document patient pre-screening activities, Document pre-screening findings, Collaborate with research sites, Collaborate with clinical teams, Support participant recruitment, Support research sites, Collect data, Document data, Coordinate operational activities, Assist with scheduling patient visits, Coordinate research appointments, Perform data entry, Maintain study records, Maintain tracking tools, Participate in project meetings, Contribute to process improvement", "teamCollaboration" : "Research sites; Clinical teams", "domainKnowledge" : "Clinical trials; Healthcare technology; Good Clinical Practice; Protected health information", "domainList" : [ "clinical-trials", "healthcare-technology", "good-clinical-practice", "protected-health-information" ], "domainSpecificKnowledge" : [ "Clinical trials", "Healthcare technology", "Good Clinical Practice", "Protected health information" ], "toolProficiency" : [ "Microsoft Office Suite", "Google Workspace", "Adobe Acrobat", "Salesforce", "CTMS platforms" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate documentation; Study documentation; Data documentation", "qualificationsBasic" : "Bachelor's degree or equivalent, Proficiency with Microsoft Office Suite, Proficiency with Google Workspace, Proficiency with Adobe Acrobat, Proficiency with web-based applications, Ability to learn new technology platforms, Exceptional attention to detail, Organizational skills, Time management skills, Ability to manage multiple priorities, Excellent written communication skills, Excellent verbal communication skills, Ability to work independently, Ability to work collaboratively, High degree of professionalism, High degree of discretion, High degree of integrity", "qualificationsPreferred" : "Prior experience in clinical research, Prior experience in healthcare operations, Prior experience in patient recruitment, Prior experience in data management, Familiarity with clinical research protocols, Familiarity with eligibility criteria, Experience reviewing EHR data, Experience interpreting EHR data, Knowledge of GCP guidelines, Knowledge of clinical research regulations, Experience in healthcare technology, Experience in biotech, Experience in a startup environment, Familiarity with Salesforce, Familiarity with CTMS platforms, Familiarity with research technology systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About Iterative Health At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Why This Role Matters The Clinical Data Specialist at Iterative Health plays a critical role in supporting clinical trial operations across the Iterative Health research network. This position is responsible for conducting detailed EHR reviews to identify potential clinical trial candidates, supporting patient recruitment efforts, maintaining research databases, and ensuring accurate documentation throughout the patient pre-screening process. The ideal candidate is highly detail-oriented, thrives in a fast-paced environment, and is passionate about advancing clinical research through data-driven patient identification and operational excellence. Where You’ll Drive Impact Clinical Trial Patient Identification & Screening Review electronic health records (EHRs) to identify patients who may qualify for active clinical research studies. Interpret study protocols and eligibility criteria to determine appropriate patient populations for recruitment. Build and maintain databases of potential study participants across multiple research programs. Document patient pre-screening activities and findings in accordance with established procedures and regulatory requirements. Collaborate with research sites and clinical teams to support participant recruitment initiatives. Research Operations Support Support research sites within the Iterative Health network through data collection, documentation, and operational coordination activities. Assist with scheduling patient visits and coordinating research-related appointments. Perform accurate and timely data entry into clinical research databases and internal systems. Maintain study-related records and tracking tools to support operational efficiency and reporting needs. Participate in project meetings and contribute to ongoing process improvement initiatives. Compliance & Quality Handle protected health information (PHI) and research data in a confidential, compliant, and secure manner. Adhere to company policies, study protocols, Good Clinical Practice (GCP) guidelines, and applicable regulatory requirements. Ensure accuracy, completeness, and quality of all documentation and data-related activities. What You Bring to the Team Bachelor's degree or equivalent combination of education and experience. Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), Google Workspace (Docs, Sheets, Drive, Gmail), Adobe Acrobat, and web-based applications. Ability to quickly learn and navigate new technology platforms, including Electronic Health Records (EHRs), Clinical Trial Management Systems (CTMS), and Customer Relationship Management (CRM) tools. Exceptional attention to detail and organizational skills. Strong time management skills with the ability to manage multiple priorities simultaneously. Excellent written and verbal communication skills. Demonstrated ability to work independently and collaboratively in a dynamic, fast-paced environment. High degree of professionalism, discretion, and integrity when handling sensitive information. Preferred Qualifications Prior experience in clinical research, healthcare operations, patient recruitment, or data management. Familiarity with clinical research protocols and eligibility criteria. Experience reviewing and interpreting electronic health record data. Knowledge of Good Clinical Practice (GCP) guidelines and clinical research regulations. Experience working within a healthcare technology, biotech, or startup environment. Familiarity with Salesforce, CTMS platforms, or similar research technology systems. How We Work Collaborative and low-ego team environment High ownership and accountability culture Fast-paced and highly iterative growth environment Open communication and continuous learning mindset Mission-driven organization focused on improving patient outcomes Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.", "summaryDescription" : "Clinical Data Specialist at Iterative Health. Skills: Clinical research, Data analysis, Patient identification. Review electronic health records. Identify patients for studies", "postedDate" : "2026-06-15T23:23:01.338", "createdAt" : "2026-06-15T23:23:01.338", "lastUpdated" : "2026-06-16T07:50:02.004", "ingestTimestamp" : "2026-06-15T23:23:01.338", "mongoId" : "6a306021f292fd229cf8619a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data entry", "Database maintenance", "Clinical research", "Data analysis", "Patient identification", "Clinical documentation", "Patient recruitment", "Data management", "Operational coordination", "Clinical trials", "Healthcare technology", "Good Clinical Practice", "Protected health information", "Microsoft Office Suite", "Google Workspace", "Adobe Acrobat", "Salesforce", "CTMS platforms" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 560.4348, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f37f292fd229c0564d4", "title" : "Senior Software Engineer, Operations Research, Google Research", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineer in Mountain View, CA, adjusted for Google's size and industry, reflecting 2024-2025 compensation trends." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T11:30:50.090", "fingerprint" : "18a6411732170c5ca2f62f4183a41f3d1aca1ceb557479794729c8ef7ae91712", "source" : "google", "language" : "en", "externalId" : "131955302491660998", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Java, Python, Distributed systems, Large-scale systems, Machine learning, Operations research, Large-scale optimization, Distributed optimization", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Software development", "Large-scale systems", "Distributed systems", "Machine learning", "Operations research", "Large-scale optimization", "Distributed optimization" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Operations research", "level" : "intermediate" }, { "name" : "Large-scale optimization", "level" : "intermediate" }, { "name" : "Distributed optimization", "level" : "intermediate" } ], "majorSkills" : "Operations Research, Large-scale systems, Distributed systems", "majorSkillsList" : [ "Operations Research", "Large-scale systems", "Distributed systems" ], "coreResponsibilities" : "Design and implement large-scale optimization systems, Develop algorithms for operations research problems, Collaborate with researchers and engineers, Analyze and improve system performance, Contribute to the design of new systems", "teamCollaboration" : "Cross-functional teams; Researchers and engineers", "domainKnowledge" : "Operations research; Large-scale optimization; Distributed optimization; Machine learning", "domainList" : [ "operations-research", "large-scale-optimization", "distributed-optimization", "machine-learning" ], "domainSpecificKnowledge" : [ "Operations research", "Large-scale optimization", "Distributed optimization", "Machine learning" ], "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "5+ years of experience in software development, Experience with C++ or Java, Experience with distributed systems, Experience with large-scale systems", "qualificationsPreferred" : "Experience with Python, Experience with machine learning, Experience with operations research, Experience with large-scale optimization, Experience with distributed optimization, Experience with Google's internal systems", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior Software Engineer, Operations Research, Google Research at Google. Skills: Operations Research, Large-scale systems, Distributed systems. Design and implement large-scale optimization systems. Develop algorithms for operations research problems", "postedDate" : "2026-06-16T01:49:09.107", "createdAt" : "2026-06-16T01:49:09.107", "lastUpdated" : "2026-06-16T11:30:50.090", "ingestTimestamp" : "2026-06-16T01:49:09.107", "mongoId" : "6a307f37f292fd229c0564d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Software development", "Large-scale systems", "Distributed systems", "Machine learning", "Operations research", "Large-scale optimization", "Distributed optimization", "Operations Research", "System design", "Algorithm design" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 543.1527, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30518ff292fd229cf0227f", "title" : "GRC Specialist, Automation & Technology", "company" : "Collibra", "industry" : "Technology", "salary" : { "min" : 115500.0, "max" : 164500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level GRC Specialist, Automation & Technology in New York, United States, within the SaaS industry, adjusted for company size and specific location." }, "location" : "New York City ", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T09:03:00.311", "fingerprint" : "5b7e26edf7a0de2bd150836719adfdef060fe5befdec31ab3c90d9707561efe3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.collibra.com/us/en/company/careers/job-listing/?gh_jid=8007845", "externalId" : "8007845", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Joining Collibra’s GRC team Collibra’s GRC Team is looking for a GRC Specialist, Automation & Technology who brings a strong technical mindset and a passion for automation, combined with solid core experience supporting audits and compliance programs. In your day to day, you will act as a strategic, technical contributor who can bridge the gap between compliance requirements and modern automation tools (like Claude and Workato) to make our team more impactful. You will partner directly with GRC and Internal Audit teams to manage workloads and automate manual processes: helping build and maintain AI-driven agent workflows to streamline repeatable processes and controls, facilitating continuous monitoring for our control environment, and supporting technical implementations of controls, such as for new cloud environments or new AI initiatives. Values-in-action: Our customers are our true north. Our GRC Specialist, Automation & Technology will enhance customer trust and accelerate sales pipelines by engineering automated, always-audit-ready environments for critical frameworks. This is a hybrid role based in our New York City office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. The GRC Specialist, Automation & Technology at Collibra is responsible for Collaborating with the GRC and Internal Audit teams to architect and deploy AI agentic capabilities, such as multi-step Claude workflows, Workato recipes, and autonomous control monitoring processes in order to eliminate repeatable manual GRC overhead and streamline evidence validation. Engineering continuous control monitoring pipelines and real-time control checks for our key security frameworks in order to shift Collibra from point-in-time sampling to an always-audit-ready risk posture. Supporting the technical GRC infrastructure integration of new cloud environments into our control framework starting in Q3. Facilitating automated governance guardrails and continuous monitoring systems for our expanding portfolio (i. e. AIUC-1) in order to maintain ongoing compliance. Partnering closely with Internal Audit and GRC colleagues to evaluate manual processes and controls and leverage orchestration and automation platforms in order to maximize the strategic efficiency and impact of our risk mitigation practices. Helping design automated key risk indicator (KRI) and key performance indicator (KPI) reporting to senior management. Administering the day-to-day functions of Collibra’s GRC platforms and tools (i. e. Optro) to maintain a reliable source of truth. You have 3+ years of experience in a technical compliance role, IT internal audit, or GRC environment, ideally within an enterprise SaaS platform. Experience building workflow automations using industry standard platforms (e.g., Workato, Claude, or native GRC platform automation engines). Hands-on experience reviewing or auditing cloud environments (Cloud infrastructure, IAM, and native logging systems) and AI programs. One or more current qualifications is nice-to-have: CISA, CRISC, CISSP, CIA, CPA, or relevant cloud/automation certifications (e.g., Azure, AWS, GCP, Workato). A bachelor’s degree or equivalent related working experience is required. This position is not eligible for visa sponsorship. You are Passionate about automation and efficiency, with a strong interest in leveraging AI and orchestration tools to optimize risk practices. Knowledgeable about information security fundamentals, cloud compliance principles, and the core mechanics of continuous control monitoring. Familiar with performing control testing or supporting technology audits, with some exposure to cloud environments (AWS/GCP/Azure) and enterprise ecosystems. Familiar with common control frameworks, specifically ISO 27001, ISO 42001, NIST AI, SOC 2, gained through direct support of an audit or compliance program. Familiarity with AIUC-1 is nice to have. Ability to translate manual compliance workflows into structured logic and discuss technical automation requirements clearly with stakeholders. Strong problem-solving and analytical skills to proactively identify repeatable day-to-day bottlenecks and design automated, sustainable solutions. Measures of success Within your first month, you will begin building relationships within the GRC and Internal Audit teams, gain a thorough understanding of Collibra’s GRC tooling and Claude automation workflows, and align on the roadmap for cloud environment onboarding. Within your third month, you will be helping design and maintaining your first AI-driven workflows to automate repeatable day-to-day tasks like user access recertifications and training escalations, while supporting the technical onboarding of new cloud environments into our control framework. Within your sixth month, you will help the team achieve control compliance for in-scope systems and infrastructure, establish automated continuous control monitoring pipelines for Collibra’s ISO framework, and begin designing workflows to support Collibra’s expanding AIUC-1 program. Compensation for this role The standard base salary range for this position is $88,000.00 - $110,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location. In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more. Benefits at Collibra Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits. We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra. At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone. With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.", "summaryDescription" : "GRC Specialist, Automation & Technology at Collibra", "postedDate" : "2026-06-15T23:15:49.850", "createdAt" : "2026-06-15T23:15:49.850", "lastUpdated" : "2026-06-16T09:03:00.311", "ingestTimestamp" : "2026-06-15T23:15:49.850", "mongoId" : "6a30518ff292fd229cf0227f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 164500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 530.4551, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e5774d8ee00a0af7083", "title" : "Senior Staff Research Data Scientist, AI Data", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Staff Research Data Scientist in Mountain View, United States, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:32:43.967", "fingerprint" : "30e1fbb4056308c0617f88b118e8e1b9528bfc28c17b15ecabb540c5e69c2ecd", "source" : "google", "language" : "en", "externalId" : "127735879274767046", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Spark, Scala, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Conduct research, Develop models, Design experiments, Analyze data, Build data pipelines, Deploy machine learning models, Collaborate with engineering teams, Communicate findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "AI; Machine learning", "domainList" : [ "ai", "machine-learning" ], "domainSpecificKnowledge" : [ "AI", "Machine learning" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Staff Research Data Scientist, AI Data. Skills: Machine Learning, AI, Data Science. Conduct research. Develop models", "postedDate" : "2026-06-16T01:50:26.425", "createdAt" : "2026-06-16T01:50:26.425", "lastUpdated" : "2026-06-16T12:32:43.967", "ingestTimestamp" : "2026-06-16T01:50:26.425", "mongoId" : "6a210e5774d8ee00a0af7083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "Modelling skills", "Machine Learning", "AI", "Data Science", "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering", "Machine learning", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 519.97095, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3085acf292fd229c07acc9", "title" : "Operations Specialist", "company" : "Solidgate", "industry" : "Merchant Care & Success", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Operations Specialist in Kyiv, Ukraine, adjusted for the FinTech industry and full-time employment." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-16T11:09:20.806", "fingerprint" : "b990a2ec68a6892d3c468d7e92dbf53ebf77b58dd61876da0aba4e1d9f28e578", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/solidgate/67ad02f1-2a61-4147-8124-2e5a82699a49/application", "externalId" : "67ad02f1-2a61-4147-8124-2e5a82699a49", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Database", "professionalSkills" : [ "Data analysis", "Process streamlining" ], "hardSkillsList" : [ "Dispute case handling", "Data discrepancy investigation" ], "hardSkills" : [ { "name" : "Dispute case handling", "level" : "intermediate" }, { "name" : "Data discrepancy investigation", "level" : "intermediate" } ], "majorSkills" : "Chargeback prevention, Fintech infrastructure", "majorSkillsList" : [ "Chargeback prevention", "Fintech infrastructure" ], "coreResponsibilities" : "Connect chargeback prevention services, Test chargeback prevention services, Monitor chargeback prevention services, Work with the database, Process analytical requests, Identify repetitive manual tasks, Streamline tasks using AI tools, Streamline tasks using templates, Streamline tasks using workflow, Handle dispute cases, Investigate data discrepancies", "teamCollaboration" : "Interaction with other teams; Work with Analytics team; Work with Sales team; Work with Account Management team", "domainKnowledge" : "Fintech infrastructure; Chargeback prevention; Provider-specific nuances", "domainList" : [ "fintech-infrastructure", "chargeback-prevention", "provider-specific-nuances" ], "domainSpecificKnowledge" : [ "Fintech infrastructure", "Chargeback prevention", "Provider-specific nuances" ], "communicationSkills" : "Analytical communication", "continuousLearning" : "Learning budget; Courses; Conferences", "innovationCreativity" : "Streamline tasks using AI tools", "problemSolvingSkills" : "Investigate data discrepancies", "outcomesObjectives" : "Influence financial outcomes", "qualificationsBasic" : "Bachelor's or Master's degree, English proficiency at Upper-Intermediate, Excellent analytical skills, Excellent communication skills", "qualificationsPreferred" : "Academic achievements and results", "workSiteFlexibility" : "Flexible", "rawDescription" : "OUR MISSION AND VISION At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world. We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board. We’re building the #1 payment orchestrator in the world — and the names behind us prove it. Clients include Bolt, Ajax, Nova Post, MEGOGO. Trusted by giants like J.P. Morgan. Ranked #2 in the “Employer of the Year 2026” award by Forbes Ukraine. ABOUT THE TEAM AND ROLE As a Operations Specialist, you’ll work on Chargebackhit — technology that protects online businesses from fraud and chargebacks. The product is mature but runs with the energy of a startup: things evolve fast and decisions are made quickly. This role sits at the intersection of operations, data, and fintech infrastructure. You’ll handle dispute cases that require human judgment, work with banking interfaces, investigate data discrepancies, and directly influence financial outcomes for our merchants. No prior experience is required — just attention to detail, focus, and a drive to grow. What you’ll own - Сonnecting, testing, and monitoring the operation of chargeback prevention services - Working with the database - Active interaction with other teams: Analytics, Sales, and Account Management - Processing analytical requests from our clients - Identify repetitive manual tasks and streamline them using AI tools, templates, and workflow automation; - Handle dispute cases that require human judgment, provider-specific nuances, or non-standard workflows; YOU’RE A GREAT FIT IF YOU HAVE - Bachelor’s or Master’s degree (completed or in progress) - Strong academic achievements and results - English proficiency at Upper-Intermediate level or higher - Excellent analytical and communication skills - Strong attention to detail and the ability to stay focused on high-volume, data-heavy tasks WHY SOLIDGATE? - No internships here — we build careers. Get hands-on from day one and make a real impact. - Your work = real outcomes. Shape how global companies move money. - Grow like crazy. Learn from top fintech pros and level up faster than anywhere else. - Flex your schedule. Balance studies and work with flexible hours that fit your life. - Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing. \uD83D\uDC8C The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun. Tomorrow’s fintech needs your mindset. Come build it with us. Know top talent? We’re always on the lookout. Recommend someone https://sjuopcfl.forms.app/external-referral-form for our role, and if they get hired, there’s a bonus waiting for you — simple as that.", "summaryDescription" : "Operations Specialist at Solidgate. Skills: Chargeback prevention, Fintech infrastructure. Connect chargeback prevention services. Test chargeback prevention services", "createdAt" : "2026-06-16T01:59:34.389", "lastUpdated" : "2026-06-16T11:09:20.806", "ingestTimestamp" : "2026-06-16T01:59:34.389", "mongoId" : "6a3085acf292fd229c07acc9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Dispute case handling", "Data discrepancy investigation", "Chargeback prevention", "Fintech infrastructure", "Data analysis", "Process streamlining", "Provider-specific nuances" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 504.7092, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305819f292fd229cf40436", "title" : "Contingent Research Data Analyst, HEOR", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Contingent Research Data Analyst in Healthcare in Taipei, Taiwan, adjusted for company size and industry." }, "location" : "Taipei, TAIWAN, TW", "locations" : [ "Taipei", "TAIWAN", "TW" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:23:29.767", "fingerprint" : "a35e775eaa33eafe9549030a7abec1a38573d3894f3dc70a602e9b377099b2ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000132196718-contingent-research-data-analyst-heor", "externalId" : "744000132196718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Data modelling", "Machine learning modelling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Machine learning modelling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Data engineering", "majorSkillsList" : [ "Data analysis", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Perform data analysis, Develop data models, Build and maintain data pipelines, Implement machine learning models, Create business intelligence dashboards, Collaborate with cross-functional teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of experience in data analysis, Proficiency in SQL, Bachelor's degree in Statistics, Mathematics, Computer Science, or related field", "qualificationsPreferred" : "PhD preferred, Experience with Python or R, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "rawDescription" : "At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function of Position: The Contingent Research Data Analyst, based out of Taiwan, will provide research, analytic, and data management support to the Ion Custom Hospital Analytics (Ion CHA) team. Ion CHA uses hospital-provided patient care data to assess the impact of the Ion lung biopsy platform on their lung cancer treatment programs. The research analyst, based out of Taiwan, will work remotely with health services researchers and market access specialists to generate research questions, and will then be expected to answer those questions by independently analyzing healthcare data. The research analyst will also support data cleaning and visualization activities for Ion CHA. Roles & Responsibilities:  Hypothesis Generation o Generate research questions related to lung cancer biopsy and treatment outcomes, costs, and other healthcare metrics. o Create statistical analysis plans to derive insights from electronic health record and other large health care databases to answer research questions. o Support evidence generation by conducting statistical analyses and writing research abstracts and publications.  Data Management, Analysis, and Visualization o Using a scripting language such as R, write code to clean data, create derived variables, merge/join/concatenate tables, identify missing values and outliers, and identify data inconsistencies. o Create data dashboards highlighting key healthcare outcome metrics by leveraging tools such as Tableau, R-Shiny, Quarto, ggplot2, and plotly. o Develop automated reports to share with internal and external stakeholders, including market access specialists and hospital executives.  Additional Project Support o As needed support GAVE team with additional data analytic and visualization projects based on analyst interests and team needs. ## Qualifications Skills, Experience, Education, & Training:  Master’s degree in biostatistics/statistics, epidemiology, or health services research.  Strong understanding of real-world data sources (i.e. medical claims data, EHR data) and observational research design.  Experience conducting analyses for healthcare research and writing abstracts/publications.  Ability to program with a scripting language such as R and Python and to query large databases using SQL.  Must reside in Taiwan. ## Additional Information Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.", "summaryDescription" : "Contingent Research Data Analyst, HEOR at Intuitive. Skills: Data analysis, Machine learning, Data engineering. Perform data analysis. Develop data models", "postedDate" : "2026-06-15T12:57:57.000", "createdAt" : "2026-06-15T23:41:18.554", "lastUpdated" : "2026-06-16T07:23:29.767", "ingestTimestamp" : "2026-06-15T23:41:18.554", "mongoId" : "6a305819f292fd229cf40436", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data modelling", "Machine learning modelling", "A/B testing", "Causal inference", "Data analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 504.11856, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305003f292fd229ceebc59", "title" : "Contingent Research Data Analyst, HEOR", "company" : "Intuitive", "industry" : "Medical Device", "salary" : { "min" : 1050000.0, "max" : 1550000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Contingent Research Data Analyst in Healthcare in Taipei, Taiwan, adjusted for company size and industry." }, "location" : "Taipei, TAIWAN, TW", "locations" : [ "Taipei", "TAIWAN", "TW" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:47:08.504", "fingerprint" : "f93a8c378c70045e2fcbe5c4a664470518399553da229bf3c789923abd7c40ce", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Intuitive/744000132196718-contingent-research-data-analyst-heor", "externalId" : "744000132196718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data wrangling", "Data visualization", "Database management", "Cloud computing", "ETL processes", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform data analysis and interpretation, Develop machine learning models, Create business intelligence dashboards, Collaborate with stakeholders, Present findings and recommendations, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders; Product managers; Engineering teams", "domainKnowledge" : "Health Economics; Real-World Evidence; HEOR data", "domainList" : [ "health-economics", "real-world-evidence", "heor-data" ], "domainSpecificKnowledge" : [ "Health Economics", "Real-World Evidence", "HEOR data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Communicate insights", "continuousLearning" : "Stay updated on industry trends", "problemSolvingSkills" : "Data analysis; Statistical modeling; Machine learning", "qualificationsBasic" : "Bachelor's degree, 3+ years of experience, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, Experience with R, Experience with statistical modeling, Experience with machine learning, Experience with data visualization tools, Experience with cloud platforms, Experience with HEOR data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function of Position: The Contingent Research Data Analyst, based out of Taiwan, will provide research, analytic, and data management support to the Ion Custom Hospital Analytics (Ion CHA) team. Ion CHA uses hospital-provided patient care data to assess the impact of the Ion lung biopsy platform on their lung cancer treatment programs. The research analyst, based out of Taiwan, will work remotely with health services researchers and market access specialists to generate research questions, and will then be expected to answer those questions by independently analyzing healthcare data. The research analyst will also support data cleaning and visualization activities for Ion CHA. Roles & Responsibilities:  Hypothesis Generation o Generate research questions related to lung cancer biopsy and treatment outcomes, costs, and other healthcare metrics. o Create statistical analysis plans to derive insights from electronic health record and other large health care databases to answer research questions. o Support evidence generation by conducting statistical analyses and writing research abstracts and publications.  Data Management, Analysis, and Visualization o Using a scripting language such as R, write code to clean data, create derived variables, merge/join/concatenate tables, identify missing values and outliers, and identify data inconsistencies. o Create data dashboards highlighting key healthcare outcome metrics by leveraging tools such as Tableau, R-Shiny, Quarto, ggplot2, and plotly. o Develop automated reports to share with internal and external stakeholders, including market access specialists and hospital executives.  Additional Project Support o As needed support GAVE team with additional data analytic and visualization projects based on analyst interests and team needs. ## Qualifications Skills, Experience, Education, & Training:  Master’s degree in biostatistics/statistics, epidemiology, or health services research.  Strong understanding of real-world data sources (i.e. medical claims data, EHR data) and observational research design.  Experience conducting analyses for healthcare research and writing abstracts/publications.  Ability to program with a scripting language such as R and Python and to query large databases using SQL.  Must reside in Taiwan. ## Additional Information Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.", "summaryDescription" : "Contingent Research Data Analyst, HEOR at Intuitive. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T12:57:57.000", "createdAt" : "2026-06-15T21:38:55.159", "lastUpdated" : "2026-06-16T08:47:08.504", "ingestTimestamp" : "2026-06-15T21:38:55.159", "mongoId" : "6a305003f292fd229ceebc59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data wrangling", "Data visualization", "Database management", "Cloud computing", "ETL processes", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Health Economics", "Real-World Evidence", "HEOR data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 501.43607, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5df99bc74574cb671a26", "title" : "Assistive Technology Specialist", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 3409.0, "max" : 3752.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "826781", "locations" : [ "826781", "
Austin:9001 N Interstate 35 (320TX-4308)
9001 N Interstate 35 STE 110
Austin, 78753-5279

" ], "certifications" : [ "CRC credentials", "LPC renewals" ], "timestamp" : "2026-06-16T01:41:15.388", "fingerprint" : "b3c6b9e828b7aa717c5cafcc5070f4196581ce387df4c664be4c904aadbe7c6e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34172", "externalId" : "34172", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Case management", "Social services", "Rehabilitative services", "Teaching", "Counseling", "Medical eligibility", "Entitlement", "Budget justification" ], "hardSkillsList" : [ "Assistive technology assessment", "Assistive technology purchase", "Assistive technology delivery", "Vehicle modification", "Home modification", "Durable medical equipment", "Complex rehabilitation technology" ], "hardSkills" : [ { "name" : "Assistive technology assessment", "level" : "intermediate" }, { "name" : "Assistive technology purchase", "level" : "intermediate" }, { "name" : "Assistive technology delivery", "level" : "intermediate" }, { "name" : "Vehicle modification", "level" : "intermediate" }, { "name" : "Home modification", "level" : "intermediate" }, { "name" : "Durable medical equipment", "level" : "intermediate" }, { "name" : "Complex rehabilitation technology", "level" : "intermediate" } ], "majorSkills" : "Assistive Technology, Case Management, Vocational Rehabilitation", "majorSkillsList" : [ "Assistive Technology", "Case Management", "Vocational Rehabilitation" ], "coreResponsibilities" : "Oversee case management services, Review case management services, Facilitate access to medical services, Facilitate access to educational services, Facilitate access to social services, Facilitate access to other services, Provide intervention, Provide frequent contact with individuals, Provide frequent contact with facilities, Provide frequent contact with service providers, Oversee purchasing process for vehicle modification, Oversee purchasing process for home modification, Oversee purchasing process for durable medical equipment, Oversee purchasing process for equipment assessments, Assure policy compliance, Provide training on assistive technology, Provide consultation on assistive technology, Provide technical assistance on assistive technology, Consult with purchasing specialist, Coordinate with purchasing specialist, Conduct program analyses, Conduct program research, Assess service needs, Formulate program plans, Assist in preparation of budget estimates, Assist in justification of budget estimates, Supervise work of others", "teamCollaboration" : "Coordination with VR Supervisors; Coordination with VR Manager", "domainKnowledge" : "Vocational Rehabilitation; Assistive Technology; Disability employment services; Complex rehabilitation technology", "domainList" : [ "vocational-rehabilitation", "assistive-technology", "disability-employment-services", "complex-rehabilitation-technology" ], "domainSpecificKnowledge" : [ "Vocational Rehabilitation", "Assistive Technology", "Disability employment services", "Complex rehabilitation technology" ], "communicationSkills" : "Technical assistance", "continuousLearning" : "Tuition assistance program; FREE CEUs; Reimbursement for renewals", "specialRequirements" : "Occasional statewide travel, Lift and/or carry 10 pounds", "qualificationsBasic" : "Graduation from accredited college or university, Major coursework in human services, social science, or business, Three years and six months of full-time qualifying experience, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Twelve semester hours of graduate study, One additional year of full-time qualifying experience, Direct VR Counseling work experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For Texas to be GREAT, we need the best and brightest talent like you! The public vocational rehabilitation (VR) program administered through the Texas Workforce Commission helps people with disabilities to prepare for, obtain, retain, and advance in employment. MAKE A DIFFERENCE AND HELP PEOPLE WITH VR According to the Department of Labor, the unemployment rate for people with disabilities was 12.6% in 2020. This jobless rate continues to be much higher than the rate for those without disabilities. PUBLIC SERVICE IN VR IS FOR YOU… -If you want to find meaningful work and contribute to a powerful mission. For more than 100 years VR has been helping individuals with disabilities achieve their employment goals! -If you are looking for career and advancement opportunities. 38% of employees in VR have 15+ years of seniority. There are various positions with career ladders and opportunities to specialize in areas of interest: Autism, Blind & Visual Impairments, Deaf & Hard of Hearing, Brain Injury, Foster Youth, Transition Students, Veterans. -If you need a comprehensive benefits package that offers competitive pay & benefits from health plans, life insurance, retirement programs, paid leave and holidays, and longevity pay. -If you have direct VR Counseling work experience, receive higher starting salary. -If you want to advance your education with our tuition assistance program. -FREE CEUs to maintain CRC credentials and reimbursement for CRC & LPC renewals. The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are looking for an Assistive Technology Specialist position to join the Vocational Rehabilitation Department. This position is located at 9001 N IH 35 Austin, Tx. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Benefits to working for TWC include: - Competitive starting salary: $3,409.83 - $3,752.00/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Currently, the state pays 100% of the health plan premium for eligible full-time employees and 50% of the premium for their eligible dependents. Eligible part-time employees get a 50% state contribution for themselves and 25% for their dependents. Employees pay the remainder of the premium by paycheck deduction before taxes are withheld. - Optional Benefits such as dental, vision, and life insurance - 8 hours' sick leave per month - 8 hours' vacation leave per month with potential to earn more with longevity - Employee Assistance Program (EAP) services - Additional benefits for active employees: https://www.ers.texas.gov/Active-Employees/Health-Benefits. The Assistive Technology Specialist (ATS) performs advanced and/or supervisory (senior-level) social service or case management work. Work involves collecting, preparing, and reviewing cases to facilitate access to medical, educational, social, and other services; and providing intervention and frequent contact with individuals, facilities, and service providers. Works under minimal supervision, with considerable latitude for the use of initiative and independent judgment. GENERAL DUTIES: - Oversees and reviews case management services for the assessment, purchase and delivery of assistive technology services to customers in coordination with Administrative and Vocational Rehabilitation (VR) Supervisors, and under the direction of the VR Manager. - Provides expertise and oversees the purchasing process for vehicle modification, home modification, durable medical equipment, and equipment assessments for complex rehabilitation technology customer needs. - Assures policy compliance. - Provides training, consultation and technical assistance to staff, program contractors and program providers related to the proper assessment, purchase, and delivery of assistive technology services to customers in coordination with Administrative and VR Supervisors and under the direction of the VR Manager. - Consults and coordinates with the purchasing specialist to ensure appropriate application of comparable benefits for customer services. - Conducts program analyses and research. - Assesses service needs and formulates program plans. - Assists in the preparation and justification of budget estimates as requested. - May assign and/or supervise the work of others. - Performs related duties as assigned. MINIMUM QUALIFICATIONS: Graduation from an accredited four-year college or university with major coursework in human services, social science, business, or a related field plus three years and six months of full-time qualifying experience in social and rehabilitative services work, teaching and counseling persons with disabilities, social services, medical eligibility, or entitlement programs; Twelve semester hours of graduate study from an accredited college or university may be substituted for each year of the required qualifying experience; One additional year of full-time qualifying experience may be substituted for each year (30 semester hours) of the required college. Duty requires occasional statewide travel, 20% of work time. Out-of-town events may require overnight lodging for up to four consecutive nights. Duty may also require the ability to lift and/or carry 10 pounds of work-related materials. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: http://www.hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_SocialServices.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Assistive Technology Specialist at Texas Workforce Commission. Skills: Assistive Technology, Case Management, Vocational Rehabilitation. Oversee case management services. Review case management services", "createdAt" : "2026-06-14T19:46:50.591", "lastUpdated" : "2026-06-16T01:41:15.388", "ingestTimestamp" : "2026-06-14T19:46:50.591", "mongoId" : "69ce5df99bc74574cb671a26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 40908, "salaryAnnualMax" : 45024, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Assistive technology assessment", "Assistive technology purchase", "Assistive technology delivery", "Vehicle modification", "Home modification", "Durable medical equipment", "Complex rehabilitation technology", "Assistive Technology", "Case Management", "Vocational Rehabilitation", "Case management", "Social services", "Rehabilitative services", "Teaching", "Counseling", "Medical eligibility", "Entitlement", "Budget justification", "Disability employment services", "CRC credentials", "LPC renewals" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 497.0697, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308765f292fd229c0888e6", "title" : "Operations Specialist", "company" : "VGW Australia", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Operations Specialist in the Technology industry in Australia, adjusted for remote work and 3+ years of experience." }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T14:05:24.627", "fingerprint" : "68b86a37a39556cadf58a687479aaa863bb7a4f39c3ffa3b21059a5c2a5f4938", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vgw-australia/jobs/8497796002", "externalId" : "8497796002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "experienceMinYears" : 3, "technicalSkills" : "CRM Platforms", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Technical documentation", "SOPs" ], "hardSkills" : [ { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "SOPs", "level" : "intermediate" } ], "majorSkills" : "CRM operations, Knowledge Base development, Process documentation", "majorSkillsList" : [ "CRM operations", "Knowledge Base development", "Process documentation" ], "coreResponsibilities" : "Execute optimisations of CRM tools, Execute optimisations of CRM platforms, Rebuild queues, Rebuild views, Update contact automations, Provide support with escalations, Follow internal procedures, Follow internal guidelines, Follow internal policies, Build Knowledge Base, Maintain Knowledge Base, Digest product changes, Assess product changes, Adapt related processes, Collaborate with CRM staff, Identify needs, Identify gaps, Solve needs, Solve gaps, Follow up on needs, Follow up on gaps, Close out needs, Close out gaps", "teamCollaboration" : "Customer Engagement team; Operations Manager", "domainKnowledge" : "Sweeps Model; Interactive entertainment; Free-to-play games", "domainList" : [ "sweeps-model", "interactive-entertainment", "free-to-play-games" ], "domainSpecificKnowledge" : [ "Sweeps Model", "Interactive entertainment", "Free-to-play games" ], "toolProficiency" : [ "Braze", "Salesforce" ], "documentationSkills" : "Technical documentation; SOPs", "qualificationsBasic" : "3 years of experience in an operations role, Expert knowledge of marketing technologies, Expert knowledge of CRM Platforms, 2+ years demonstrated success in handling operational needs, Demonstrated experience in mentorship, Demonstrated experience in coaching, Demonstrated experience in development, Braze proficiency, Salesforce or comparable CRM experience", "remoteFriendly" : true, "rawDescription" : "Operations Specialist VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play games. We have an exciting opportunity to join our Customer Engagement team, we are currently looking for a Operations Specialist to join the team. The Operations Specialist works closely with the Operations Manager - Customer Engagement to develop and implement solutions that enhance the quality and efficiency of CRM operations. This role is focused on enabling the CRM function through the development and maintenance of a centralized Knowledge Base, technical documentation, and SOPs that support the team in delivering operationally efficient campaigns across global markets. Key responsibilities will include: Execute optimisations of CRM tools and platforms in line with the wider Customer Engagement strategy to ensure they are continually fit to service the changing needs of the Customer Engagement team, including but not limited to rebuilding queues/views and updates to contact automations. Provide support with escalations from the customer facing teams. Follow internal procedures, guidelines and policies especially around use of language as it relates to our Sweeps Model. Build and maintain the CRM team Knowledge Base, ensuring process and compliance related documentation remain up to date at all times for all platform configurations and operational procedures, ensuring clarity and consistency across the team. Thoroughly digest and assess all product changes, releases, and compliance/business model language changes, in order to make the necessary adaptations to related processes. Collaborate with the CRM staff and Operations Manager - Customer Engagement to identify their needs and customer experience gaps and seek to solve them from an operational perspective. Ensure these needs and gaps are followed up on and closed out. What you will bring to the role: Minimum of 3 years of experience in an operations role supporting an online customer service organisation. Expert knowledge of marketing technologies, tools and CRM Platforms. 2+ years demonstrated success in handling operational needs at large-scale customer service operations. Demonstrated experience in mentorship, coaching or/and development. Braze proficiency Salesforce or comparable CRM experience. About VGW VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play games. With high-quality, acclaimed brands including Chumba Casino, Global Poker and LuckyLand Slots, we entertain and delight over one million players in North America. As pioneers in sweepstakes promotions for online social games, we also offer our players the opportunity to redeem incredible prizes. At VGW, one of our core values is \"our players come first\". This means always striving to deliver a safe, responsible and positive player experience. Why VGW? At VGW, we’re more than just a team. We’re a diverse and inclusive group of individuals, each playing a vital role in our success. Our core values are clear and strong; we win together, do what’s right, put our players first and are powered by passion. We believe in our people and are committed to creating an environment where everyone feels welcome, inspired, and supported. We recognise that life is more than just work - that’s why we’re all about flexibility so you can strike a healthy balance between your personal life and career. We’re also here to champion your growth in your current role and future aspirations, providing opportunities for learning and career advancement. And to top it off, we back this all up with competitive compensation, perks and benefits. But it’s not all business. We inject fun into the workplace, celebrate together and create lasting memories, from a mix of in-person and online events, to social gatherings and much more. It’s our combined skills, ideas and visions that drive us forward. Join us on this exciting journey, and together, we’ll achieve remarkable things. If you want to join a team that does things differently, apply today - we look forward to seeing what you can bring to our team. Find out more at www.vgw.co #LI-AA1 #LI-Hybrid Privacy Policy", "summaryDescription" : "Operations Specialist at VGW Australia. Skills: CRM operations, Knowledge Base development, Process documentation. Execute optimisations of CRM tools. Execute optimisations of CRM platforms", "postedDate" : "2026-06-16T01:20:51.350", "createdAt" : "2026-06-16T01:20:51.350", "lastUpdated" : "2026-06-16T14:05:24.627", "ingestTimestamp" : "2026-06-16T01:20:51.350", "mongoId" : "6a308765f292fd229c0888e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Technical documentation", "SOPs", "CRM operations", "Knowledge Base development", "Process documentation", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Sweeps Model", "Interactive entertainment", "Free-to-play games", "Braze", "Salesforce" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 495.24283, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c683a74d8ee00a0902a86", "title" : "Director, Marketing Technology & Operations", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Marketing Technology & Operations in Boston, United States, adjusted for seniority and industry." }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-16T06:37:42.032", "fingerprint" : "15270a9b8bd873c6fb08be7399181921756a7f8ebe696f18c81f5787ed1899d7", "source" : "jazzhr", "language" : "en", "externalId" : "EIRtOd0VNk", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "Marketing automation, CRM, Data analysis, Reporting tools, Analytics tools, Visualization tools, Content management systems, Social media platforms, Email marketing platforms", "professionalSkills" : [ "Marketing strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Budget management", "Vendor management" ], "hardSkillsList" : [ "Marketing technology implementation", "Marketing operations management", "Data analysis", "Reporting", "A/B testing", "SEO/SEM", "Content management", "Social media marketing", "Email marketing", "Analytics", "Budget management", "Vendor management" ], "hardSkills" : [ { "name" : "Marketing technology implementation", "level" : "intermediate" }, { "name" : "Marketing operations management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "SEO/SEM", "level" : "intermediate" }, { "name" : "Content management", "level" : "intermediate" }, { "name" : "Social media marketing", "level" : "intermediate" }, { "name" : "Email marketing", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Vendor management", "level" : "intermediate" } ], "majorSkills" : "Marketing Technology, Marketing Operations, Data Analysis, Growth Metrics", "majorSkillsList" : [ "Marketing Technology", "Marketing Operations", "Data Analysis", "Growth Metrics" ], "coreResponsibilities" : "Develop and execute marketing technology strategy, Oversee marketing operations processes, Manage marketing automation platforms, Manage CRM platforms, Analyze marketing campaign performance, Develop and maintain marketing reports, Identify and implement new marketing technologies, Collaborate with sales and product teams, Manage marketing technology budget, Manage marketing technology vendors", "teamCollaboration" : "Sales teams; Product teams; Cross-functional teams", "projectManagementSkills" : [ "Project management tools" ], "domainKnowledge" : "Marketing technology; Marketing operations; Customer acquisition; Campaign management; Growth metrics", "domainList" : [ "marketing-technology", "marketing-operations", "customer-acquisition", "campaign-management", "growth-metrics" ], "domainSpecificKnowledge" : [ "Marketing technology", "Marketing operations", "Customer acquisition", "Campaign management", "Growth metrics" ], "toolProficiency" : [ "Marketing automation platforms", "CRM platforms", "Analytics tools", "Visualization tools", "Content management systems", "Social media platforms", "Email marketing platforms", "Project management tools" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "outcomesObjectives" : "Improve marketing campaign performance; Increase customer acquisition; Optimize marketing technology stack; Ensure data accuracy and integrity", "qualificationsBasic" : "5+ years of experience in marketing technology, 3+ years of experience in marketing operations, Experience with marketing automation platforms, Experience with CRM platforms, Experience with data analysis and reporting", "qualificationsPreferred" : "Experience with project management tools, Experience with A/B testing, Experience with SEO/SEM, Experience with content management systems, Experience with social media marketing platforms, Experience with email marketing platforms, Experience with analytics and visualization tools, Experience with budget management, Experience with vendor management", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Director, Marketing Technology & Operations. Skills: Marketing Technology, Marketing Operations, Data Analysis, Growth Metrics. Develop and execute marketing technology strategy. Oversee marketing operations processes", "createdAt" : "2026-06-14T18:43:16.538", "lastUpdated" : "2026-06-16T06:37:42.032", "ingestTimestamp" : "2026-06-14T18:43:16.538", "mongoId" : "6a2c683a74d8ee00a0902a86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Marketing technology implementation", "Marketing operations management", "Data analysis", "Reporting", "A/B testing", "SEO/SEM", "Content management", "Social media marketing", "Email marketing", "Analytics", "Budget management", "Vendor management", "Marketing Technology", "Marketing Operations", "Data Analysis", "Growth Metrics", "Marketing strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Project management tools", "Marketing technology", "Marketing operations", "Marketing automation platforms", "CRM platforms", "Analytics tools", "Visualization tools", "Content management systems", "Social media platforms", "Email marketing platforms" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "_score" : 493.30228, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30576ef292fd229cf39acc", "title" : "Research Associate/Senior Research Associate", "company" : "Shennon Biotechnologies", "industry" : "Biotech", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior/Senior Research Associate in San Francisco, adjusted for the biotech industry and full-time employment." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T06:28:28.227", "fingerprint" : "b0a792f5d096ef29a83485eaa0d36996ff5de6d0c25ed414199101d2e385a8ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/shennonbiotechnologies/jobs/5164894007", "externalId" : "5164894007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Perform experiments, Analyze data, Maintain lab equipment, Document research findings, Collaborate with team members", "domainKnowledge" : "Molecular biology; Cell biology; Biochemistry", "domainList" : [ "molecular-biology", "cell-biology", "biochemistry" ], "domainSpecificKnowledge" : [ "Molecular biology", "Cell biology", "Biochemistry" ], "documentationSkills" : "Research findings", "qualificationsBasic" : "2+ years experience", "rawDescription" : "We are a well-funded biotech startup that has developed a suite of proprietary technologies combining ultrahigh throughput single-cell functional screening with computational AI models to advance the development of immunotherapies for cancer and autoimmune diseases. We are currently looking for a research associate to join our interdisciplinary team. The candidate is expected to adapt quickly and communicate well, especially in a fast-paced startup environment. We pay competitive salaries with bonus and equity, plus full benefits that include medical, dental, vision, 401k match, commuter benefits and daily lunch. Responsibilities: Carry out a variety of cell biology tasks, including mammalian cell culture, virus harvesting, and transfections/transduction of various cell lines. Isolate and engineer primary T cells using different techniques. Perform functional assays to evaluate T cell responses. Assist with molecular cloning tasks including design, PCR, gel extraction, transformation, plasmid preparation, and sequence analysis. Collaborate with team on other experiments when needed. Qualifications: Bachelor’s degree in Molecular Biology, Cell Biology, Biochemistry, Biomedical Engineering or equivalent. Skill sets required: molecular cloning, flow cytometry, ELISA, cell line and primary T cell culture, and lentiviral transduction. 2+ years of industry experience. Responsible, accountable, and detail-oriented Detail oriented, excellent organization skills and communication skills. Nice to haves: Understanding of T cell immunology. Experience with TCE development. Experience with NGS sequencing and analysis. Shennon Bio is an equal opportunity employer, and we welcome applicants from diverse backgrounds to apply. Job Type: Full-time, Mon-Fri Benefits: Daily lunch + Commuter benefits + Health insurance (Medical, Dental and Vision, 100% premium covered for Gold plan) + life insurance, flexible time off and sick leave, unlimited healthy snacks and drinks. Company Culture: Collaboration, Ownership and Authenticity.", "summaryDescription" : "Research Associate/Senior Research Associate at Shennon Biotechnologies. Perform experiments. Analyze data", "postedDate" : "2026-06-15T23:28:28.143", "createdAt" : "2026-06-15T23:28:28.143", "lastUpdated" : "2026-06-16T06:28:28.227", "ingestTimestamp" : "2026-06-15T23:28:28.143", "mongoId" : "6a30576ef292fd229cf39acc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Molecular biology", "Cell biology", "Biochemistry" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 492.22113, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6949b14570f0b99d58827159", "title" : "Instructional Technology Specialist", "industry" : "Education", "salary" : { "min" : 78000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Technology Specialist in the United States, adjusted for senior seniority and the education industry." }, "location" : "Mead Middle School", "locations" : [ "Mead Middle School", "2601 E. Skinner", "67211" ], "certifications" : [ "Teaching license" ], "timestamp" : "2026-06-15T08:46:58.625", "fingerprint" : "8baea07085e3606478d0c3c43b1473a2e5ce64901279c380a4e6e0de527736db", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=86512", "externalId" : "86512", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Microsoft Office 365, Microsoft Teams, Microsoft Excel, Microsoft Forms, Microsoft Word, Microsoft Outlook, Student information system", "professionalSkills" : [ "Data analytics", "Curriculum integration", "Staff development", "Digital literacy", "Digital citizenship", "Pedagogical support", "Instructional coaching", "Data-driven instruction", "Assessment planning", "Educational data analysis", "Teaching instruction", "Time management", "Interpersonal skills", "Verbal communication", "Written communication", "Problem-solving skills" ], "hardSkillsList" : [ "Technology integration", "Data analysis", "Coaching" ], "softSkillsList" : [ "Leadership", "Patience" ], "hardSkills" : [ { "name" : "Technology integration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Patience" } ], "majorSkills" : "Instructional technology, Data analysis, Coaching", "majorSkillsList" : [ "Instructional technology", "Data analysis", "Coaching" ], "coreResponsibilities" : "Integrate technology and data, Provide pedagogical support, Lead professional development, Coach educators, Coordinate assessment plans, Analyze educational data, Inform teaching strategies, Improve student outcomes, Train staff on assessments, Serve as liaison, Advocate for innovative practices, Support exploration of new technologies, Develop strategic plans, Assist with additional duties", "teamCollaboration" : "School leadership; Building-based academic leadership team; Instructional staff; Administrators; District directives", "projectManagementSkills" : [ "Strategic planning" ], "domainKnowledge" : "Educational pedagogy; Federal laws; State laws", "domainList" : [ "educational-pedagogy", "federal-laws", "state-laws" ], "domainSpecificKnowledge" : [ "Educational pedagogy", "Federal laws", "State laws" ], "toolProficiency" : [ "Microsoft Office 365", "Microsoft Teams", "Microsoft Excel", "Microsoft Forms", "Microsoft Word", "Microsoft Outlook" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Innovative teaching practices; New technologies", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Advanced computer skills, Respond rapidly, Stand for long periods, Bend, twist, balance, Stoop, climb steps, Reach overhead, Lift up to 20 pounds, Manage time independently, Respond within 24 hours, Limited travel, Comply with guidelines", "outcomesObjectives" : "Support and enhance student achievement; Improve student outcomes", "qualificationsBasic" : "Bachelor's degree required, 5 years classroom experience, Valid teaching license", "qualificationsPreferred" : "Master's degree preferred, Virtual instruction experience, LMS experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Instructional Technology Specialist Position Function: The Instructional Technology and Assessment Leader is a multifaceted position responsible for ensuring that technology and data analytics robustly support and enhance student achievement. This role involves curriculum integration, staff development, technical support, and the promotion of digital literacy and citizenship. The specialist will work closely with educators, students, and administrative staff to foster a technologically proficient learning environment that aligns with the school's vision and educational goals. This role is designed to be a cornerstone in the integration of technology and data within the educational landscape, ensuring that both are leveraged to maximize student achievement and prepare students for the demands of the 21st-century workplace. Essential Performance Responsibilities: Collaborate with school leadership and staff to integrate technology and data analytics into the curriculum effectively. Provide pedagogical support to teachers for leveraging technology in the classroom to facilitate deeper learning and digital citizenship. Lead professional development initiatives and coach educators in best practices for technology use and data-driven instruction as a member of the building-based academic leadership team. Coordinate the implementation of assessment plans and analyze educational data to inform teaching strategies and improve student outcomes. Provide training to staff on administering different types of assessments. Serve as a liaison between the school and assessment and research department, ensuring that data analysis aligns with educational objectives and district directives. Advocate for innovative teaching practices and support the exploration of new technologies to enhance learning experiences. Develop strategic plans that align with school goals and the broader mission of the district, including the integration of technology and data in instruction as a member of the building-based academic leadership team. Serve as a liaison between the school and instructional technology department, ensuring that technology integration aligns with educational objectives and district directives. Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: Must have advanced computer and technology skills to be able to teach in a virtual environment. Microsoft Office 365 proficiency is required to deliver instruction via Microsoft Teams, Microsoft Office, Microsoft Excel, Microsoft Forms, Microsoft Word, and Microsoft Outlook. Virtual instruction or experience with using an LMS is a bonus. Must always comply with USD 259's guidelines for equipment use. Travel: Limited travel between schools and central offices may be required. Physical and Mental Demands: Must be able to respond rapidly in emergency situations Must be able to stand for long periods of time, bend, twist balance, stoop, climb steps, reach overhead, lift up to 20 pounds Must be able to manage time independently Must be able to respond within 24 business hours to all communications Knowledge, Skills, and Abilities: Knowledge of current teaching methods and educational pedagogy Knowledge of applicable federal and state laws regarding education and students Ability and patience to work interactively with students Skill in organization, time management, communication, and interpersonal skills Ability to deliver teaching instruction in accordance with improved curriculum and standards Excellent skills in verbal and written communication Ability to understand the individual needs of each student Ability to effectively use Microsoft Outlook and the student information system Interrelations: Contact with students, instructional staff, administrators and the community. Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy. Must exhibit a professional manner and maintain a positive attitude at all times. Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor's degree required, Master's degree preferred. Valid teaching license with a minimum of 5 years of classroom teaching experience. Strong background in instructional technology, data analysis, and coaching. Excellent communication, leadership, and problem-solving skills. Ability to work collaboratively with diverse groups and manage multiple responsibilities. Professional demeanor and commitment to continuous learning and improvement. FLSA Status: Exempt", "summaryDescription" : "Instructional Technology Specialist. Skills: Instructional technology, Data analysis, Coaching. Integrate technology and data. Provide pedagogical support", "createdAt" : "2026-06-14T01:49:01.806", "lastUpdated" : "2026-06-15T08:46:58.625", "ingestTimestamp" : "2026-06-14T01:49:01.806", "mongoId" : "6949b14570f0b99d58827159", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Technology integration", "Data analysis", "Coaching", "Leadership", "Patience", "Instructional technology", "Data analytics", "Curriculum integration", "Staff development", "Digital literacy", "Digital citizenship", "Pedagogical support", "Instructional coaching", "Data-driven instruction", "Assessment planning", "Educational data analysis", "Teaching instruction", "Time management", "Interpersonal skills", "Verbal communication", "Written communication", "Problem-solving skills", "Strategic planning", "Educational pedagogy", "Federal laws", "State laws", "Teaching license", "Microsoft Office 365", "Microsoft Teams", "Microsoft Excel", "Microsoft Forms", "Microsoft Word", "Microsoft Outlook" ], "skillCount" : 33, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 491.48798, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051dbf292fd229cf07fea", "title" : "Director of Data - Logistics & Fulfilment", "company" : "Ocado Group", "industry" : "Logistics", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Data in London, UK, adjusted for the logistics industry and Ocado Group's company size." }, "location" : "Trident Place Two", "locations" : [ "Trident Place Two" ], "timestamp" : "2026-06-16T06:40:03.645", "fingerprint" : "090e0126cbc9f0e50c32760c68d37c88b5ec85308a56b15411881aa90b41ce6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.ocadogroup.com/jobs/details?gh_jid=4833468101&gh_jid=4833468101", "externalId" : "4833468101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, Scala, Spark, SQL, MLOps, AWS, GCP, Azure", "professionalSkills" : [ "Operations research", "Algorithm development", "Data storytelling", "Stakeholder management" ], "hardSkillsList" : [ "Logistics optimisation", "Applied ML", "Forecasting", "Modelling", "Routing optimisation" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Logistics optimisation", "level" : "intermediate" }, { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Routing optimisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Machine learning, Operations research", "majorSkillsList" : [ "Data science", "Machine learning", "Operations research" ], "coreResponsibilities" : "Lead data science, ML, and operations research, Foster working relationship between data science and engineering, Move ML models into production at scale, Oversee long-term vision for data science group, Ensure research depth translates into operational value, Support and develop data science crafts, Help organisation understand opportunities, Work with Data Engineering and Analytics, Embed strategy to capture metrics, Line manage Data Team Leaders, Represent data function in leadership teams", "teamCollaboration" : "Data science and engineering; Data Engineering and Analytics; Logistics and Fulfillment Senior Leadership Teams", "domainKnowledge" : "Physical hardware; Complex logistics; Warehouse optimisation; Delivery networks", "domainList" : [ "physical-hardware", "complex-logistics", "warehouse-optimisation", "delivery-networks" ], "domainSpecificKnowledge" : [ "Physical hardware", "Complex logistics", "Warehouse optimisation", "Delivery networks" ], "toolProficiency" : [ "MLflow" ], "communicationSkills" : "Data storytelling; Stakeholder relationships", "problemSolvingSkills" : "Proactive problem solver", "specialRequirements" : "Two days onsite", "outcomesObjectives" : "Take us from great research to production-scale impact; Energise team to push boundaries", "qualificationsBasic" : "In-depth knowledge of ML, Deploy models in production at scale, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Director of Data - Logistics & Fulfilment | London | Hybrid “This is a two-day onsite opportunity, split between our Tech Hub in Old Street and our HQ in Hatfield.” About us: Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world's largest online-only grocery retailer, as well as the global \"Ocado Smart Platform\". We champion a value-led culture of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast to help our teams work at their very best. About the role: This is a strategic leadership position sitting at the intersection of complex maths and physical reality. You will lead a high-impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions for the world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from \"great research\" to \"production-scale impact,\" energising the team to push boundaries rather than settling for the status quo. What the role involves: Fostering a tight working relationship between data science and engineering to move ML models into production at scale. Overseeing the long-term vision for our 4-team data science group, ensuring research depth translates into operational value. Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live. Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions. Line managing Data Team Leaders and representing the data function within the Logistics and Fulfillment Senior Leadership Teams. What we're looking for: In-depth knowledge of ML, and how to deploy models in production at scale (MLOps). A proactive problem solver comfortable with the ambiguity of physical hardware and complex logistics A strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing. The ability to use data to help product management prioritize feature development and measure improvements post-release. A leader who creates happy, high-performing teams through coaching, 1:1s, and a commitment to knowledge sharing. What do I get in return: Hybrid working pattern (2 days in the office) Wellbeing support through Apps such as Unmind and an Employee Assistance Programme 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase) Pension scheme(various options available including employer contribution matching up to 7%) Private Medical Insurance 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) Train Ticket loan (interest-free) Cycle to Work Scheme Share options Leadership bonuses Opportunity to participate in Share save and Buy as You Earn share schemes 15% discount on Ocado.com and free delivery for all employees Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary) #LI-JT1 #LI-OT #LI-HYBRID", "summaryDescription" : "Director of Data - Logistics & Fulfilment at Ocado Group. Skills: Data science, Machine learning, Operations research. Lead data science, ML, and operations research. Foster working relationship between data science and engineering", "postedDate" : "2026-06-15T23:19:48.054", "createdAt" : "2026-06-15T23:19:48.054", "lastUpdated" : "2026-06-16T06:40:03.645", "ingestTimestamp" : "2026-06-15T23:19:48.054", "mongoId" : "6a3051dbf292fd229cf07fea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Logistics optimisation", "Applied ML", "Forecasting", "Modelling", "Routing optimisation", "Leadership", "Coaching", "Mentoring", "Data science", "Machine learning", "Operations research", "Algorithm development", "Data storytelling", "Stakeholder management", "Physical hardware", "Complex logistics", "Warehouse optimisation", "Delivery networks", "MLflow" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 490.7951, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "696082060937eae70e9c77d7", "title" : "Instructional Technology Specialist", "industry" : "Education", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Technology Specialist in India, adjusted for mid-seniority and education industry." }, "location" : "Isely Traditional Magnet", "locations" : [ "Isely Traditional Magnet", "5256 N. Woodlawn", "67220" ], "certifications" : [ "Teaching license" ], "timestamp" : "2026-06-16T03:56:34.789", "fingerprint" : "0dcf9eb03bdc670033da41c275bcb046782c8c312422df9580f6ea6207f8d184", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=88598", "externalId" : "88598", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Software troubleshooting, Network administration, Operating systems, Hardware troubleshooting, Software diagnostics", "professionalSkills" : [ "Time management", "Technical knowledge sharing", "System compliance" ], "hardSkillsList" : [ "Data virus updates", "Scanning", "Troubleshooting skills", "Network topology", "Coaching", "Co-teaching", "Co-planning", "Installing software", "Configuring software", "Basic network administration", "Desktop troubleshooting", "Network troubleshooting", "Software troubleshooting", "Hardware diagnostics", "Software diagnostics" ], "softSkillsList" : [ "People skills", "Communication skills", "Willingness to learn", "Ability to research", "Ability to evaluate", "Well organized", "Ability to collaborate", "Confidentiality", "Tact", "Diplomacy", "Maintain positive attitude" ], "hardSkills" : [ { "name" : "Data virus updates", "level" : "intermediate" }, { "name" : "Scanning", "level" : "intermediate" }, { "name" : "Troubleshooting skills", "level" : "intermediate" }, { "name" : "Network topology", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Co-teaching", "level" : "intermediate" }, { "name" : "Co-planning", "level" : "intermediate" }, { "name" : "Installing software", "level" : "intermediate" }, { "name" : "Configuring software", "level" : "intermediate" }, { "name" : "Basic network administration", "level" : "intermediate" }, { "name" : "Desktop troubleshooting", "level" : "intermediate" }, { "name" : "Network troubleshooting", "level" : "intermediate" }, { "name" : "Software troubleshooting", "level" : "intermediate" }, { "name" : "Hardware diagnostics", "level" : "intermediate" }, { "name" : "Software diagnostics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "People skills" }, { "name" : "Communication skills" }, { "name" : "Willingness to learn" }, { "name" : "Ability to research" }, { "name" : "Ability to evaluate" }, { "name" : "Well organized" }, { "name" : "Ability to collaborate" }, { "name" : "Confidentiality" }, { "name" : "Tact" }, { "name" : "Diplomacy" }, { "name" : "Maintain positive attitude" } ], "coreResponsibilities" : "Ensure technology impacts student achievement, Model effective technology use, Provide level one technical support, Provide staff/student training, Attend professional development, Attend technology meetings, Serve as resource for purchasing technology, Provide building leadership for technology usage, Serve as resource for troubleshooting technology systems, Support teachers through coaching, Support teachers through co-teaching, Support teachers through co-planning, Integrate technology into instruction, Integrate technology into project based learning, Collaborate with district coaches, Collaborate with district specialists, Assist with additional duties", "teamCollaboration" : "Work with various organizations; Collaborate with district coaches; Collaborate with district specialists; Work with diverse population", "domainKnowledge" : "Instructional technology; Student achievement; Network topology; District technology initiatives", "domainList" : [ "instructional-technology", "student-achievement", "network-topology", "district-technology-initiatives" ], "domainSpecificKnowledge" : [ "Instructional technology", "Student achievement", "Network topology", "District technology initiatives" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "People skills; Communication skills", "continuousLearning" : "Attend professional development; Willingness to learn about technology", "problemSolvingSkills" : "Basic troubleshooting skills; Troubleshooting technology systems issues; Hardware troubleshooting; Software troubleshooting; Basic hardware troubleshooting; Basic software troubleshooting; Basic diagnostics", "specialRequirements" : "Limited travel between schools, Regular attendance is essential, Comply with USD 259's guidelines", "outcomesObjectives" : "Raise student achievement", "qualificationsBasic" : "Bachelor's degree required, Teaching license required, 5 years classroom teaching experience required", "qualificationsPreferred" : "Master's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Instructional Technology Specialist Position Function: Ensures technology positively impacts student achievement through curriculum integration and staff development. Models effective, efficient, legal and ethical use of technology throughout the building. Provides level one technical support for staff/students. Essential Performance Responsibilities: Provides on-going staff/student training opportunities with instructional uses of technology; data backup; virus updates and scanning on workstations; how to use the network drives and directories and basic troubleshooting skills Attends professional development to stay current with technology and attend monthly technology meetings Servers as a resource for staff and administration for purchasing of technology to raise student achievement Provides building leadership to staff and administration for usage of various instructional technologies to raise student achievement Serves as a resource for troubleshooting technology systems issues (hardware, network, software) by understanding of site network topology and to work with Macintosh and PC computers Provides support to teachers through coaching, co-teaching and co-planning with meaningful integration of technology into classroom instruction and project based learning activities Collaborates with district coaches and specialists on projects and delivery of professional development Additional Duties: Assists with additional duties as assigned by Supervisor. Equipment: This position may require the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine. Must always comply with USD 259's guidelines for equipment use. Travel: Limited travel between schools and central offices may be required. Physical and Mental Demands: Regular attendance is essential Demonstrates initiative working independently and with groups Knowledge, Skills, and Abilities: Strong people and communication skills Willingness to learn about technology and an aptitude to support technology which may include Installing and configuring software Basic network administration Basic understanding of desktop and network operating systems Basic hardware and software troubleshooting and diagnostics Ability to research, evaluate and make recommendations ensuring that building implementations of software and hardware systems comply with district technology initiatives and directives Well organized with good time management skills Ability and willingness to share technical knowledge and train all levels of users Ability to work with various organizations within the district (MIS, Instructional Technology, SSC) Ability to perform a variety of tasks, collaborate, meet deadlines, and work in a calm and efficient manner Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor's degree required Teaching license and a minimum of 5 years classroom teaching experience Master's degree preferred FLSA Status: Exempt", "summaryDescription" : "Instructional Technology Specialist. Ensure technology impacts student achievement. Model effective technology use", "createdAt" : "2026-06-14T18:49:03.818", "lastUpdated" : "2026-06-16T03:56:34.789", "ingestTimestamp" : "2026-06-14T18:49:03.818", "mongoId" : "696082060937eae70e9c77d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data virus updates", "Scanning", "Troubleshooting skills", "Network topology", "Coaching", "Co-teaching", "Co-planning", "Installing software", "Configuring software", "Basic network administration", "Desktop troubleshooting", "Network troubleshooting", "Software troubleshooting", "Hardware diagnostics", "Software diagnostics", "People skills", "Communication skills", "Willingness to learn", "Ability to research", "Ability to evaluate", "Well organized", "Ability to collaborate", "Confidentiality", "Tact", "Diplomacy", "Maintain positive attitude", "Time management", "Technical knowledge sharing", "System compliance", "Instructional technology", "Student achievement", "District technology initiatives", "Teaching license", "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "skillCount" : 39, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 490.2771, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca17574d8ee00a09a5954", "title" : "Research Engineer - Data Infrastructure", "company" : "Rhoda AI", "industry" : "Research", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Engineer in the Technology industry in Palo Alto, USA, adjusted for company size and specific role responsibilities." }, "location" : "Palo Alto", "locations" : [ "Palo Alto" ], "timestamp" : "2026-06-16T06:05:20.878", "fingerprint" : "a7d2ce63b5b0739ffe98855ef0345f3066560a6653365cf95983eefecd99bb51", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/c90321f2-5085-4f99-ac13-0de996ba1dd1/application", "externalId" : "c90321f2-5085-4f99-ac13-0de996ba1dd1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Cloud object storage, Databases, Metadata stores, Ray, Spark, Vision-language models, Snowflake, BigQuery, Redshift, DVC, Delta Lake", "professionalSkills" : [ "System design", "ML infrastructure", "Data infrastructure", "Distributed systems", "Production reliability", "Performance optimization", "Cost efficiency" ], "hardSkillsList" : [ "Data pipeline optimization", "Storage system optimization", "Indexing systems", "Retrieval systems", "Dataset querying", "Dataset filtering", "Dataset iteration", "Observability frameworks", "Monitoring", "Alerting", "Failure recovery", "Workload balancing", "Data artifact management", "Data versioning", "Data lineage", "Reproducibility", "Traceability", "Data exploration", "Data analysis", "ML inference" ], "hardSkills" : [ { "name" : "Data pipeline optimization", "level" : "intermediate" }, { "name" : "Storage system optimization", "level" : "intermediate" }, { "name" : "Indexing systems", "level" : "intermediate" }, { "name" : "Retrieval systems", "level" : "intermediate" }, { "name" : "Dataset querying", "level" : "intermediate" }, { "name" : "Dataset filtering", "level" : "intermediate" }, { "name" : "Dataset iteration", "level" : "intermediate" }, { "name" : "Observability frameworks", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Failure recovery", "level" : "intermediate" }, { "name" : "Workload balancing", "level" : "intermediate" }, { "name" : "Data artifact management", "level" : "intermediate" }, { "name" : "Data versioning", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Reproducibility", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Data exploration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "ML inference", "level" : "intermediate" } ], "majorSkills" : "Data Infrastructure, Distributed Systems, ML Infrastructure, Data Pipelines", "majorSkillsList" : [ "Data Infrastructure", "Distributed Systems", "ML Infrastructure", "Data Pipelines" ], "coreResponsibilities" : "Architect data infrastructure, Build data infrastructure, Scale data infrastructure, Process video clips, Manage video clips, Design storage systems, Optimize storage systems, Build indexing systems, Build retrieval systems, Support dataset querying, Support dataset filtering, Support dataset iteration, Develop observability frameworks, Implement workload balancing, Implement throughput optimization, Manage data artifacts, Manage data versioning, Manage data lineage, Build internal interfaces, Build lightweight tools, Enable data exploration, Enable data querying, Enable data analysis, Support integration of VLMs, Support scalable deployment of VLMs, Generate metadata", "teamCollaboration" : "Collaboration with researchers; Collaboration with engineers", "domainKnowledge" : "Generalist robotics; Foundation world models; Multimodal datasets; Robotics data formats; Real-world sensor data; Vision-language models", "domainList" : [ "generalist-robotics", "foundation-world-models", "multimodal-datasets", "robotics-data-formats", "real-world-sensor-data", "vision-language-models" ], "domainSpecificKnowledge" : [ "Generalist robotics", "Foundation world models", "Multimodal datasets", "Robotics data formats", "Real-world sensor data", "Vision-language models" ], "toolProficiency" : [ "Ray", "Spark", "DVC", "Delta Lake" ], "problemSolvingSkills" : "Performance optimization; Cost-performance tradeoffs", "qualificationsBasic" : "5+ years of experience in data infrastructure, 5+ years of experience in distributed systems, 5+ years of experience in ML infrastructure, Experience building large-scale data pipelines, Experience operating large-scale data pipelines, Deep understanding of distributed systems, Deep understanding of databases, Deep understanding of indexing strategies, Deep understanding of cloud storage architectures, Experience optimizing data throughput, Experience with workload balancing, Experience with cost-performance tradeoffs, Experience with distributed compute frameworks, Skills in observability, Skills in monitoring, Skills in production reliability, Software engineering fundamentals, Ability to own systems end-to-end", "qualificationsPreferred" : "1B+ samples data pipelines experience, Petabyte-scale systems experience, Experience managing large multimodal datasets, Familiarity with ML training workflows, Familiarity with data lifecycle management, Familiarity with vision-language models, Experience running ML inference workloads, Experience with robotics data formats, Experience with real-world sensor data, Experience with data warehouse technologies, Familiarity with data versioning tooling, Familiarity with data lineage tooling", "remoteFriendly" : false, "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Data Infrastructure MLEs to scale the systems that power our model training data pipeline, from raw ingestion and storage to indexing, retrieval, and throughput optimization at massive scale. We hire across levels — from senior to staff. What You'll Do - Architect, build, and scale a high-throughput data infrastructure that processes and manages billions of video clips with strong guarantees around reliability, latency, and cost efficiency - Design and optimize large-scale storage systems (cloud object storage, databases, metadata stores) for multimodal datasets - Build efficient indexing and retrieval systems to support fast dataset querying, filtering, and iteration for research and production use cases - Develop observability frameworks for data pipelines including monitoring, alerting, failure recovery, and performance optimization - Implement intelligent workload balancing and throughput optimization across distributed compute and storage systems - Manage data artifacts, versioning, and lineage to ensure reproducibility and traceability across training runs - Build internal interfaces and lightweight tools that enable researchers and engineers to explore, query, and analyze large datasets at scale - Support integration and scalable deployment of vision-language models (VLMs) within data pipelines for screening, enrichment, or metadata generation What We're Looking For - 5+ years of experience in data infrastructure, distributed systems, ML infrastructure, or a closely related field - Strong experience building and operating large-scale data pipelines (1B+ samples or petabyte-scale systems preferred) - Deep understanding of distributed systems, databases, indexing strategies, and cloud storage architectures - Experience optimizing data throughput, workload balancing, and cost-performance tradeoffs in cloud environments - Experience with distributed compute frameworks such as Ray or Spark for large-scale data processing and transformation - Strong skills in observability, monitoring, and production reliability for high-scale systems - Strong software engineering fundamentals with the ability to own systems end-to-end, from design to production - Staff-level candidates are expected to define technical direction and own architectural decisions independently; senior candidates execute complex systems work with strong fundamentals and growing scope Nice to Have (But Not Required) - Experience managing large multimodal datasets - Familiarity with ML training workflows and data lifecycle management - Familiarity with vision-language models (VLMs) and experience running ML inference workloads at scale in distributed or cloud environments - Experience with robotics data formats or real-world sensor data (video, proprioception, teleoperation logs) - Experience with data warehouse technologies (e.g., Snowflake, BigQuery, or Redshift) for large-scale data storage, querying, and analytics - Familiarity with data versioning and lineage tooling (e.g., DVC, Delta Lake, or similar) Why This Role - Own the data foundation that everything else runs on — model quality is only as good as the data infrastructure beneath it - Direct collaboration with research and ML systems teams; your work has immediate, measurable impact on training velocity - High ownership in a small team — you'll make real architectural decisions, not execute tickets - Help build the infrastructure that powers robots operating in the real world, at scale", "summaryDescription" : "Research Engineer - Data Infrastructure at Rhoda AI. Skills: Data Infrastructure, Distributed Systems, ML Infrastructure, Data Pipelines. Architect data infrastructure. Build data infrastructure", "createdAt" : "2026-06-14T18:49:57.612", "lastUpdated" : "2026-06-16T06:05:20.878", "ingestTimestamp" : "2026-06-14T18:49:57.612", "mongoId" : "6a2ca17574d8ee00a09a5954", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline optimization", "Storage system optimization", "Indexing systems", "Retrieval systems", "Dataset querying", "Dataset filtering", "Dataset iteration", "Observability frameworks", "Monitoring", "Alerting", "Failure recovery", "Workload balancing", "Data artifact management", "Data versioning", "Data lineage", "Reproducibility", "Traceability", "Data exploration", "Data analysis", "ML inference", "Data Infrastructure", "Distributed Systems", "ML Infrastructure", "Data Pipelines", "System design", "ML infrastructure", "Data infrastructure", "Distributed systems", "Production reliability", "Performance optimization", "Cost efficiency", "Generalist robotics", "Foundation world models", "Multimodal datasets", "Robotics data formats", "Real-world sensor data", "Vision-language models", "Ray", "Spark", "DVC", "Delta Lake" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 487.40057, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca61674d8ee00a09b96c8", "title" : "Research Associate I, Research Lab Operations", "company" : "Revolution Medicines", "salary" : { "min" : 67000.0, "max" : 81000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redwood City, California, United States", "locations" : [ "Redwood City", "California", "United States" ], "timestamp" : "2026-06-16T04:23:09.102", "fingerprint" : "62ce3fdd87de8e746cb9df4573e950e4267ebc68a34f64722179e914afbb266d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.revmed.com/careers-list/?gh_jid=7772181003", "externalId" : "7772181003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are looking for an in vivo research associate to independently execute routine animal care, husbandry, and facility maintenance to support research activities and maintain a high-quality laboratory environment. Required Skills, Experience and Education: Experience in husbandry for laboratory mice and animal facility maintenance. Detail-oriented and comfortable keeping laboratory records. Reliably commute or planning to relocate before starting work to Redwood City, CA. Physical Demands: Activities may require standing for extended periods. Able to carry and lift to 50 pounds, maneuver items and carts exceeding 50 pounds. Responsibilities: Maintain high standards of animal welfare and report any health concerns to appropriate personnel. Husbandry in laboratory mice including: cage changing, provide food and water, provide housing and enrichment. Receive, house, and inspect incoming mice. Routinely and accurately fill out laboratory records including: daily animal health checks, room temperature/humidity readings, cleaning/husbandry, and facility maintenance. Cleaning and maintenance of a pathogen free animal research facility. Perform routine removal and disposal of multiple waste streams, including biohazardous waste, ensuring proper labeling and compliance. Restock supplies. Communicate using Microsoft Outlook and Teams. Follow protocols and operate equipment with training such as: changing stations, autoclave, and hydrogen peroxide vaporizer. Comply with safety requirements such as PPE and biohazardous waste disposal. Familiarity with Zoom and Studylog a plus. The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. Base Pay Salary Range $67,000—$81,000 USD We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message. Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address. If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.", "summaryDescription" : "Research Associate I, Research Lab Operations at Revolution Medicines", "postedDate" : "2026-06-14T19:20:38.018", "createdAt" : "2026-06-14T19:20:38.018", "lastUpdated" : "2026-06-16T04:23:09.102", "ingestTimestamp" : "2026-06-14T19:20:38.018", "mongoId" : "6a2ca61674d8ee00a09b96c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 67000, "salaryAnnualMax" : 81000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 487.3, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059e1f292fd229cf4bb5c", "title" : "Senior Specialist, Marketing Operations", "company" : "Checkout.com", "industry" : "All cost centres", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Specialist, Marketing Operations in London, UK, adjusted for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T14:31:52.861", "fingerprint" : "44cff5f5e5d5f45b85e1ebbb4f3b736f70b1b50d8ac443b5391db0f839f2beb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/checkout.com/2e8a5c8c-35d4-437f-9e78-dfeb1fadbec2/application", "externalId" : "2e8a5c8c-35d4-437f-9e78-dfeb1fadbec2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Webhooks, Automation scripts", "professionalSkills" : [ "System design", "Technical architecture", "Data synchronization", "Data modeling", "Technical audits", "System integrity", "Platform migrations", "Technical debt reduction", "System unification", "System scaling", "System diagnostics", "Routing bottlenecks", "Automation leaks", "Platform issues resolution", "Backend routing", "Scoring models", "Agile project delivery", "Operational backlog management", "Technical task scoping", "System updates execution", "Attribution architecture", "Tracking frameworks", "Marketing attribution", "System performance connection", "Operational governance", "System labeling", "Data hygiene standards" ], "hardSkillsList" : [ "Marketing Operations", "Marketing Systems Engineering", "MarTech Management", "CRM data architecture", "Relational databases", "Platform migration", "Software implementation", "Technology onboarding", "AI utilities", "Automated workflows", "Modern tooling", "Analytical capability", "Technical project management" ], "hardSkills" : [ { "name" : "Marketing Operations", "level" : "intermediate" }, { "name" : "Marketing Systems Engineering", "level" : "intermediate" }, { "name" : "MarTech Management", "level" : "intermediate" }, { "name" : "CRM data architecture", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" }, { "name" : "Platform migration", "level" : "intermediate" }, { "name" : "Software implementation", "level" : "intermediate" }, { "name" : "Technology onboarding", "level" : "intermediate" }, { "name" : "AI utilities", "level" : "intermediate" }, { "name" : "Automated workflows", "level" : "intermediate" }, { "name" : "Modern tooling", "level" : "intermediate" }, { "name" : "Analytical capability", "level" : "intermediate" }, { "name" : "Technical project management", "level" : "intermediate" } ], "majorSkills" : "Marketing Operations, MarTech Architecture, AI-Native Automation, Attribution Architecture", "majorSkillsList" : [ "Marketing Operations", "MarTech Architecture", "AI-Native Automation", "Attribution Architecture" ], "coreResponsibilities" : "Lead technology evaluations, Gather cross-functional technical requirements, Manage vendor evaluations, Map structural dependencies, Lead technical migration, Lead backend overhaul, Ensure seamless data synchronization, Ensure configuration with CRM, Conduct deep-dive technical audits, Identify data mismatches, Identify routing bottlenecks, Identify automation leaks, Resolve platform issues, Build backend routing, Manage backend routing, Build scoring models, Manage scoring models, Build data models, Manage data models, Pilot AI-driven tools, Integrate AI-driven tools, Integrate webhooks, Integrate automation scripts, Scale system capabilities, Erase manual bottlenecks, Manage operational backlog, Scope technical tasks, Execute updates, Build attribution frameworks, Maintain attribution frameworks, Connect system performance, Establish operational governance, Enforce operational governance, Establish system labeling protocols, Enforce system labeling protocols, Establish data hygiene standards, Enforce data hygiene standards", "teamCollaboration" : "Cross-functional teams; Global technical initiatives", "projectManagementSkills" : [ "Agile project delivery", "Operational backlog management", "Technical task scoping", "Rigor" ], "domainKnowledge" : "B2B; SaaS; Fintech; Marketing automation; CRM data architecture; Relational databases; Multi-touch marketing attribution; Commercial outcomes", "domainList" : [ "b2b", "saas", "fintech", "marketing-automation", "crm-data-architecture", "relational-databases", "multi-touch-marketing-attribution", "commercial-outcomes" ], "domainSpecificKnowledge" : [ "B2B", "SaaS", "Fintech", "Marketing automation", "CRM data architecture", "Relational databases", "Multi-touch marketing attribution", "Commercial outcomes" ], "toolProficiency" : [ "Marketing automation platforms", "CRM" ], "problemSolvingSkills" : "Complex logical puzzles; Systems lateral thinking; Commercial outcomes framing", "qualificationsBasic" : "5+ years Marketing Operations experience, 5+ years Marketing Systems Engineering experience, 5+ years MarTech Management experience, Administrator-level power user of marketing automation platforms, Sophisticated understanding of CRM data architecture, Sophisticated understanding of relational databases, Experience with major platform migration, Experience with software implementation, Experience with complex technology onboarding", "qualificationsPreferred" : "AI utilities usage, Automated workflows usage, Modern tooling usage", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description We are looking for an ambitious, analytical, and AI-native Senior Specialist to join our global Growth Operations & Lifecycle hub. Reporting directly to the Head of Growth Operations & Lifecycle Globally, this is a pure, technical operations and systems role. You won't be managing campaign calendars, writing email copy, or designing creative assets. Instead, you will be the absolute engine room of our global marketing team—architecting, scaling, and optimizing the technical data flows that power our multi-segment execution across Enterprise, Mid-Marketing and growth segments. Your mandate is to drive the continuous technical evolution of our MarTech stack. You will take ownership of evaluating new technologies, leading platform migrations, removing architectural technical debt, and ensuring our core systems are unified, scalable, and leak-free. Role Overview | Remit and Responsibilities 1. MarTech Architecture & Infrastructure Evolution - Lead Technology Evaluations: Serve as the operational lead for major software and platform reviews; gathering cross-functional technical requirements, managing vendor evaluations, and mapping out structural dependencies. - Stack Overhaul & Integration: Lead the technical migration and backend overhaul of our core marketing systems, ensuring seamless data synchronization and configuration with our primary CRM environment. - System Integrity & Diagnostics: Conduct routine, deep-dive technical audits of our infrastructure to identify data mismatches, routing bottlenecks, or automation leaks, resolving non-routine platform issues independently. 2. Multi-Segment Operational Scaling - Cross-Segment Frameworks: Build and manage the backend routing, scoring, and data models required to simultaneously fuel long-cycle Enterprise buyer journeys and high-velocity B2B segments. - AI-Native Automation: Actively pilot and integrate AI-driven tools, webhooks, and modern automation scripts into our daily infrastructure to scale system capabilities and erase manual bottlenecks. - Agile Project Delivery: Navigate fast-moving global technical initiatives by managing an operational backlog, scoping technical tasks with precision, and executing updates with speed and rigor. 3. Technical Governance & Attribution - Attribution Architecture: Build and maintain the backend tracking frameworks necessary for advanced multi-touch marketing attribution, connecting system performance straight to commercial outcomes. - Global Guardrails: Establish and enforce strict operational governance, unified system labeling protocols, and clear data hygiene standards across all global regions to ensure a single source of truth. Role Overview | Desired Background & Competencies - The Ops DNA: You have solid, dedicated experience purely in Marketing Operations, Marketing Systems Engineering, or MarTech Management within a fast-paced B2B, SaaS, or Fintech environment. - Platform Expertise: You are an administrator-level power user of major enterprise marketing automation platforms and possess a highly sophisticated understanding of CRM data architecture and relational databases. - Migration & Implementation Experience: You’ve been through the trenches of a major platform migration, software implementation, or complex technology onboarding process before. You know how to evaluate tech objectively and plan for zero system downtime. - An AI Native: You don't treat AI as a buzzword. You naturally use AI utilities, automated workflows, and modern tooling to supercharge your own productivity and solve complex logical puzzles. - Lateral & Analytical Thinker: You possess massive analytical capability. You don’t just execute a technical ticket blindly—you look at systems laterally, frame your work in terms of commercial outcomes (not just activities), and understand how a technical change impacts the broader pipeline. - Ambitious & Resilient: You thrive on ownership, excel in fast-moving environments, and are comfortable managing multiple technical projects simultaneously while maintaining an uncompromising quality bar. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/", "summaryDescription" : "Senior Specialist, Marketing Operations at Checkout.com. Skills: Marketing Operations, MarTech Architecture, AI-Native Automation, Attribution Architecture. Lead technology evaluations. Gather cross-functional technical requirements", "createdAt" : "2026-06-16T00:31:42.316", "lastUpdated" : "2026-06-16T14:31:52.861", "ingestTimestamp" : "2026-06-16T00:31:42.316", "mongoId" : "6a3059e1f292fd229cf4bb5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Marketing Operations", "Marketing Systems Engineering", "MarTech Management", "CRM data architecture", "Relational databases", "Platform migration", "Software implementation", "Technology onboarding", "AI utilities", "Automated workflows", "Modern tooling", "Analytical capability", "Technical project management", "MarTech Architecture", "AI-Native Automation", "Attribution Architecture", "System design", "Technical architecture", "Data synchronization", "Data modeling", "Technical audits", "System integrity", "Platform migrations", "Technical debt reduction", "System unification", "System scaling", "System diagnostics", "Routing bottlenecks", "Automation leaks", "Platform issues resolution", "Backend routing", "Scoring models", "Agile project delivery", "Operational backlog management", "Technical task scoping", "System updates execution", "Attribution architecture", "Tracking frameworks", "Marketing attribution", "System performance connection", "Operational governance", "System labeling", "Data hygiene standards", "Rigor", "B2B", "SaaS", "Fintech", "Marketing automation", "Multi-touch marketing attribution", "Commercial outcomes", "Marketing automation platforms", "CRM" ], "skillCount" : 52, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 480.77115, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066c2f292fd229cfb56ca", "title" : "Data Delivery Specialist", "company" : "Sprinter", "industry" : "Retail", "salary" : { "min" : 30000.0, "max" : 42000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Delivery Specialist in Alicante, Spain, adjusted for the retail industry and company size." }, "location" : "Avenida del Euro n. 2 - 03114 Alicante", "locations" : [ "Avenida del Euro n. 2 - 03114 Alicante" ], "timestamp" : "2026-06-16T09:03:19.646", "fingerprint" : "218e96e30052e50db0695c01b4becb2cfbd6eda800551507ced1d1567964d642", "source" : "greenhouse", "language" : "es", "applyUrl" : "https://job-boards.eu.greenhouse.io/sprintersportses/jobs/4898369101", "externalId" : "4898369101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alicante", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.3436365,-0.4881708" } ], "locationText" : "Alicante, Spain", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "JIRA Service Management, Jira Software", "professionalSkills" : [ "Gestión de Stakeholders", "Gestión de Negocio", "Capacidad Analítica", "Comunicación ecosistema IT" ], "hardSkillsList" : [ "Gestión de demanda", "Metodologías Ágiles", "Kanban", "Scrum", "Gestión del Flujo", "Reporting de rendimiento", "SLAs" ], "hardSkills" : [ { "name" : "Gestión de demanda", "level" : "intermediate" }, { "name" : "Metodologías Ágiles", "level" : "intermediate" }, { "name" : "Kanban", "level" : "intermediate" }, { "name" : "Scrum", "level" : "intermediate" }, { "name" : "Gestión del Flujo", "level" : "intermediate" }, { "name" : "Reporting de rendimiento", "level" : "intermediate" }, { "name" : "SLAs", "level" : "intermediate" } ], "majorSkills" : "Data Delivery, Agile Methodologies, Stakeholder Management, JIRA", "majorSkillsList" : [ "Data Delivery", "Agile Methodologies", "Stakeholder Management", "JIRA" ], "coreResponsibilities" : "Orquestar y optimizar el flujo de demanda, Garantizar una entrega impecable y ágil, Gestionar el ciclo de vida de las peticiones, Centralizar y refinar peticiones vía JIRA, Gestionar el Backlog global, Articular el flujo entre áreas, Documentar procesos, Comunicar procesos, Implementar marcos Kanban, Liderar marcos Sprints Agile, Adaptar metodologías a necesidades, Coordinar con líderes técnicos, Eliminar bloqueos, Optimizar la velocidad del equipo, Administrar el backlog, Priorizar tareas, Articular demanda técnica, Articular demanda de negocio, Gestionar usuarios de negocio, Gestionar expectativas de entrega, Incluir usuarios en ciclo de vida, Gestionar dependencias, Gestionar riesgos, Gestionar bloqueos, Elaborar informes de nivel de servicio, Medir la salud del equipo, Medir el rendimiento del equipo", "teamCollaboration" : "Coordinar con líderes técnicos; Coordinar dependencias; Alinear planes de entrega; Colaborar con áreas de IT", "projectManagementSkills" : [ "Agile", "Kanban", "Scrum", "Backlog management", "Prioritization" ], "domainKnowledge" : "Servicios de datos; Gobierno de datos; Arquitectura de datos; IA; Ingeniería de datos; Visualización de datos", "domainList" : [ "servicios-de-datos", "gobierno-de-datos", "arquitectura-de-datos", "ia", "ingenieria-de-datos", "visualizacion-de-datos" ], "domainSpecificKnowledge" : [ "Servicios de datos", "Gobierno de datos", "Arquitectura de datos", "IA", "Ingeniería de datos", "Visualización de datos" ], "toolProficiency" : [ "JIRA Service Management", "Jira Software" ], "communicationSkills" : "Comunicar procesos; Comunicar estándares; Comunicar planes de entrega", "documentationSkills" : "Documentar procesos; Documentar procedimientos; Documentar estándares", "continuousLearning" : "Plan de desarrollo personalizado; Carrera internacional; Amplio catálogo formativo", "problemSolvingSkills" : "Eliminar bloqueos; Resolver dependencias; Resolver riesgos; Resolver bloqueos", "outcomesObjectives" : "Garantizar entrega impecable; Garantizar entrega ágil; Asegurar trabajo en lo que mueve aguja; Optimizar velocidad del equipo; Medir salud del equipo; Medir rendimiento del equipo", "qualificationsBasic" : "Grado en Ingeniería Informática, Matemáticas o similar, 3-5 años en gestión de entregas (delivery), Gestión de servicios IT y/o Proyectos, Gestión directa de usuarios clave de negocio, Capacidad para gestionar prioridades, Capacidad para traducir conceptos de negocio en términos técnicos, Capacidad para coordinar dependencias, Alinear planes de entrega con otras áreas de IT, Experto en JIRA Service Management, Experto en Jira Software, Inglés B2", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "Como Data Delivery Specialist, serás el responsable de orquestar y optimizar el flujo de demanda de nuestro servicio de datos (Gobierno, Arquitectura, IA, Ingeniería y Visualización). Tu objetivo es garantizar una entrega impecable y ágil, gestionando el ciclo de vida de las peticiones desde su entrada en JIRA hasta su puesta en valor para negocio. En tu día a día: Orquestación de la Demanda: Gestionar el proceso end-to-end de recepción, análisis, priorización y seguimiento de demandas de negocio hacia el equipo de IT DATA. Centralizar y refinar todas las peticiones que entran vía JIRA del ámbito IT DATA para que recojan la información relevante para su posterior análisis por el equipo. Gestionar el Backlog global, asegurando que el equipo trabaje en lo que realmente mueve la aguja para el negocio. Articular el flujo entre las áreas de Gobierno, Arquitectura/IA, Ingeniería y Visualizació n. Documentar y comunicar los procesos, procedimientos y estándares de gestión de la demanda. Liderazgo de Metodología (Agile & Flow): Metodologías Ágiles: Implementación y liderazgo de marcos Kanban y Sprints Agile, adaptándolos a las necesidades de mantenimiento incidental y proyectos evolutivos. Coordinar con los líderes técnicos para eliminar bloqueos/dependencias y optimizar la velocidad del equipo. Gestión del Flujo (JIRA): Administración del backlog, priorización de tareas y articulación de la demanda técnica y de negocio. Capacidad para gestionar usuarios de negocio (data owners y stewards) y sus expectativas de entrega, incluyéndolos en el ciclo de vida de la iniciativa Gestionar dependencias, riesgos y bloqueos asociados a las peticiones de productos de datos solicitados. KPIs de Performance: Elaboración de informes de nivel de servicio (SLA, Cycle Time, Velocity, Burndown Chart, Capacidad del equipo, Panel de Bloqueos) para medir la salud y el rendimiento del equipo. ¿Qué buscamos? Grado en Ingeniería Informática, Matemáticas o similar. Experiencia sólida (3-5 años) en la gestión de entregas (delivery) en entornos de servicios DATA y gestionando servicios IT y/o Proyectos. Gestión de Stakeholders y Negocio: Experiencia demostrable en la gestión directa de usuarios clave de negocio, con capacidad para gestionar prioridades en función del valor que aportan las necesidades al negocio y expectativas de entrega Capacidad Analítica: Capacidad para \"traducir\" conceptos de negocio en términos técnicos de arquitecturas data para elaborar planes de entrega claros para los usuarios de negocio. Comunicación ecosistema IT: Capacidad para coordinar dependencias y alinear planes de entrega con otras áreas de IT (Infraestructura, Seguridad, DevOps, etc..) Domino de Herramientas: Experto en JIRA Service Management y Jira Software (configuración de tableros, flujos de estado y reporting de rendimiento de equipo y SLAs). Agilidad: Conocimiento profundo de Scrum, Kanban y cómo adaptarlos a un entorno que mezcla desarrollo (proyectos) con soporte (incidentes). Inglés B2 ¿Qué podemos ofrecerte? Bonus anual según performance. Flexibilidad horaria. Retribución flexible (seguro médico, restaurant, transporte, guardería...). Descuento de empleado/ a. Plan de desarrollo personalizado y carrera en un entorno internacional (JD Group). Amplio catálogo formativo en hard y soft skills Instalaciones deportivas dentro de la empresa. Sobre el grupo: Abrimos nuestro primer Sprinter en Valencia en 1995 y, desde entonces, nos hemos convertido en el espacio para quienes sentimos pasión por el deporte y la moda deportiva. Con más de 200 puntos de venta físicos y tienda online, contamos con marcas referentes como Nike, Adidas, Reebok o Fila, y con marcas propias como Up, Silver, Doone y Boriken, entre otras. Formando parte de JD Group, líder en Sports, Street & Premium Fashion, contamos con alrededor de 97.000 personas, superando las 4850 tiendas de diversas marcas en más de 49 países. ¡Te damos la oportunidad de desarrollar tu carrera en este grupo internacional en constante crecimiento! En Sprinter ofrecemos un entorno basado en la cooperación y el respeto mutuo, con un fuerte compromiso por la diversidad y la igualdad de oportunidades. Todas las personas serán consideradas sin importar su identidad de género, orientación sexual, etnia, religión, edad o grado de discapacidad. Nuestros procesos de selección están basados en el modelo de evaluación por competencias profesionales y valoramos la pasión, ganas de aprender y de crecer en un entorno internacional. ¿Te interesa? ¡Queremos conocerte! Si crees que esta oferta es para ti, aplica hoy mismo. Debido al alto volumen de solicitudes que recibimos para nuestras ofertas, lleva un tiempo poder revisarlas todas. Si no recibes noticias dentro de las dos-tres semanas posteriores a tu solicitud, por favor considera que en esta ocasión hemos decidido avanzar con otras candidaturas. Las personas que cumplan con los criterios serán contactadas por el equipo de Talent. ¡Gracias por tu interés y tiempo!", "summaryDescription" : "Data Delivery Specialist at Sprinter. Skills: Data Delivery, Agile Methodologies, Stakeholder Management, JIRA. Orquestar y optimizar el flujo de demanda. Garantizar una entrega impecable y ágil", "postedDate" : "2026-06-15T23:28:17.709", "createdAt" : "2026-06-15T23:28:17.709", "lastUpdated" : "2026-06-16T09:03:19.646", "ingestTimestamp" : "2026-06-15T23:28:17.709", "mongoId" : "6a3066c2f292fd229cfb56ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Gestión de demanda", "Metodologías Ágiles", "Kanban", "Scrum", "Gestión del Flujo", "Reporting de rendimiento", "SLAs", "Data Delivery", "Agile Methodologies", "Stakeholder Management", "JIRA", "Gestión de Stakeholders", "Gestión de Negocio", "Capacidad Analítica", "Comunicación ecosistema IT", "Agile", "Backlog management", "Prioritization", "Servicios de datos", "Gobierno de datos", "Arquitectura de datos", "IA", "Ingeniería de datos", "Visualización de datos", "JIRA Service Management", "Jira Software" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 478.17847, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ef0f292fd229c053c3f", "title" : "Research Intern", "company" : "Altimate AI", "industry" : "Engineering", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level Research Intern in the Technology industry in Bengaluru, India, with adjustments for company size and industry." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-16T12:20:14.787", "fingerprint" : "ebeba11de8198d873e8cbe69aa89cb97275acae8a08911cbc7d5b2bf06cfca80", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/altimate/4e3079fc-2ec6-4b5a-811d-579d22cf576d/application", "externalId" : "4e3079fc-2ec6-4b5a-811d-579d22cf576d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "technicalSkills" : "PyTorch, Hugging Face, LLMs, SQL, Dbt", "hardSkillsList" : [ "Fine-tuning", "LLM evals", "LLM agents", "RAG" ], "hardSkills" : [ { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "LLM evals", "level" : "intermediate" }, { "name" : "LLM agents", "level" : "intermediate" }, { "name" : "RAG", "level" : "intermediate" } ], "majorSkills" : "LLMs, Agentic data engineering, Modern data stack", "majorSkillsList" : [ "LLMs", "Agentic data engineering", "Modern data stack" ], "coreResponsibilities" : "Own a research question end-to-end, Scope research question, Run experiments, Write up research", "domainKnowledge" : "Agentic data engineering; Modern data stack; LLMs; Data quality", "domainList" : [ "agentic-data-engineering", "modern-data-stack", "llms", "data-quality" ], "domainSpecificKnowledge" : [ "Agentic data engineering", "Modern data stack", "LLMs", "Data quality" ], "toolProficiency" : [ "Hugging Face ecosystem" ], "innovationCreativity" : "Research question", "problemSolvingSkills" : "Fuzzy problem to scoped experiment", "outcomesObjectives" : "Path to public technical blog post; Path to open-source release; Path to paper", "qualificationsBasic" : "Prior project involving LLMs, Comfortable reading recent papers", "qualificationsPreferred" : "Familiarity with dbt, Familiarity with SQL, Familiarity with modern data open-source, Prior publications", "rawDescription" : "About Us Altimate AI is pioneering agentic data engineering - instead of engineers manually writing queries and managing pipelines, we're building AI agents that do this work autonomously. Think of it as AI teammates for data teams. We're #1 on the industry benchmark in this space. Our open-source developer tools have 1M+ downloads (including the dbt Power User extension with 200k+ downloads alone), and we're trusted by Fortune 500 companies. Our agents write SQL, optimise warehouses, and enforce data quality across dbt, Snowflake, Databricks, and BigQuery - and we're just getting started. We're hiring a research intern to work directly with the founding team on hard problems at the intersection of LLMs, agents, and the modern data stack. You'll own a research question end-to-end: scope it, run experiments, write it up. Strong work has a path to a public technical blog post, open-source release, or paper. What we're looking for: - Hands-on with PyTorch and the Hugging Face ecosystem - At least one prior project involving LLMs - fine-tuning, evals, agents, or RAG - Comfortable reading recent papers (NeurIPS / ICML / ACL / EMNLP) and implementing ideas from them - Can take a fuzzy problem and return a well-scoped experiment - Bonus: familiarity with dbt, SQL, or the modern data stack; open-source contributions; prior publications", "summaryDescription" : "Research Intern at Altimate AI. Skills: LLMs, Agentic data engineering, Modern data stack. Own a research question end-to-end. Scope research question", "createdAt" : "2026-06-16T01:59:59.354", "lastUpdated" : "2026-06-16T12:20:14.787", "ingestTimestamp" : "2026-06-16T01:59:59.354", "mongoId" : "6a307ef0f292fd229c053c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Fine-tuning", "LLM evals", "LLM agents", "RAG", "LLMs", "Agentic data engineering", "Modern data stack", "Data quality", "Hugging Face ecosystem" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 477.07718, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e3374d8ee00a0af634b", "title" : "Senior Staff Research Data Scientist, DevIE", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Research Data Scientist in Sunnyvale, United States, adjusted for seniority and industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:30:27.593", "fingerprint" : "46caa61f5b415962724c743a05d4d61cccceba2e1af21aa3d88517adc1c4f938", "source" : "google", "language" : "en", "externalId" : "104471617785995974", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Statistical Modeling", "majorSkillsList" : [ "Machine Learning", "Data Science", "Statistical Modeling" ], "coreResponsibilities" : "Conduct research and develop novel ML models, Design and implement data pipelines, Build and maintain BI dashboards, Analyze complex datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate results", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "summaryDescription" : "Senior Staff Research Data Scientist, DevIE. Skills: Machine Learning, Data Science, Statistical Modeling. Conduct research and develop novel ML models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:48:37.900", "createdAt" : "2026-06-16T01:48:37.900", "lastUpdated" : "2026-06-16T12:30:27.593", "ingestTimestamp" : "2026-06-16T01:48:37.900", "mongoId" : "6a210e3374d8ee00a0af634b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "Data Science", "Statistical Modeling", "Quantitative analysis", "Statistical modeling", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 472.43665, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f8bf292fd229cf7de69", "title" : "Renewables Data Researcher Intern", "company" : "Unison", "industry" : "Europe", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Milan, Italy, adjusted for the climate tech industry." }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-16T11:05:09.037", "fingerprint" : "6b5b202ac7f746fd75f9b07b53db2000dfef5368b54d13c65d6b73ac4d335688", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/unisoninfra/3f44c0b4-a7f9-4002-b49d-f3844f51dd23/apply", "externalId" : "3f44c0b4-a7f9-4002-b49d-f3844f51dd23", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Data quality management", "Data management" ], "hardSkillsList" : [ "Data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" } ], "majorSkills" : "Renewable energy, Data acquisition, Data validation", "majorSkillsList" : [ "Renewable energy", "Data acquisition", "Data validation" ], "coreResponsibilities" : "Enter data, Manage data quality, Research renewable energy information, Validate renewable energy information, Validate project details, Validate stakeholder details, Update internal datasets, Update tracking systems", "domainKnowledge" : "Renewable energy sector; Solar energy; Wind energy; Biogas energy; Infrastructure projects; Energy projects", "domainList" : [ "renewable-energy-sector", "solar-energy", "wind-energy", "biogas-energy", "infrastructure-projects", "energy-projects" ], "domainSpecificKnowledge" : [ "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "qualificationsBasic" : "Basic knowledge of energy projects, Basic knowledge of infrastructure projects, Basic knowledge of planning processes, Basic knowledge of permitting processes", "qualificationsPreferred" : "Solid understanding of renewable energy technologies, Good knowledge of solar technologies, Good knowledge of wind technologies, Good knowledge of biogas technologies, Good knowledge of related infrastructure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Unison is a telecom and renewables infrastructure investment firm funded in partnership with Ardian - the global investment house based in Paris with over $150 billion in assets under management. Unison commenced operations in 2003 and today invests in real estate and infrastructure hosting wireless and renewables tenants in the United States and Europe. The Company is expanding rapidly and looking for talented, entrepreneurial team members to grow with us. English Version We are looking for a motivated and detail-oriented Intern to join our team in Milan, supporting our data acquisition and optimisation activities within the renewable energy sector. This is an excellent opportunity for someone with a strong interest and foundational knowledge in renewable energy to gain hands-on experience working with real project data across Europe. Key Responsibilities Data entry and ongoing data quality management Research and validation of renewable energy project information Telephone-based validation of project and stakeholder details Support updates to internal datasets and tracking systems Ideal Profile Solid understanding of renewable energy technologies, including solar, wind, biogas, and related infrastructure Basic knowledge of how energy or infrastructure projects are structured, including planning and permitting processes Strong attention to detail and confidence working with data Comfortable conducting research and phone-based validation work Location Milan, Italy What We Offer Hands-on experience in a fast-growing renewable energy environment Exposure to large-scale infrastructure data and market analysis Opportunity to develop research and data management skills in a professional setting Versione Italiana Stiamo cercando un/una tirocinante motivato/a e orientato/a ai dettagli da inserire nel nostro team a Milano, a supporto delle attività di acquisizione e ottimizzazione dei dati nel settore delle energie rinnovabili. Questa rappresenta un’eccellente opportunità per candidati con forte interesse e conoscenze di base nel settore delle energie rinnovabili, per acquisire esperienza pratica lavorando con dati reali relativi a progetti in tutta Europa. Responsabilità principali Inserimento dati e gestione continua della qualità dei dati Ricerca e validazione di informazioni su progetti di energia rinnovabile Attività di validazione telefonica di dati relativi a progetti e stakeholder Supporto nell’aggiornamento di database interni e sistemi di monitoraggio Profilo ideale Buona conoscenza delle tecnologie legate alle energie rinnovabili, tra cui solare, eolico, biogas e infrastrutture correlate Conoscenza di base della struttura dei progetti energetici o infrastrutturali, inclusi i processi di pianificazione e autorizzazione Elevata attenzione ai dettagli e dimestichezza nell’utilizzo e gestione dei dati Disponibilità a svolgere attività di ricerca e validazione telefonica Sede Milano, Italia Cosa offriamo Esperienza pratica in un contesto dinamico e in forte crescita nel settore delle energie rinnovabili Esposizione a dati su infrastrutture su larga scala e analisi di mercato Opportunità di sviluppare competenze di ricerca e gestione dei dati in un contesto professionale", "summaryDescription" : "Renewables Data Researcher Intern at Unison. Skills: Renewable energy, Data acquisition, Data validation. Enter data. Manage data quality", "postedDate" : "2026-06-15T12:28:47.281", "createdAt" : "2026-06-15T12:28:47.281", "lastUpdated" : "2026-06-16T11:05:09.037", "ingestTimestamp" : "2026-06-16T03:22:19.700", "mongoId" : "6a305f8bf292fd229cf7de69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Renewable energy", "Data acquisition", "Data validation", "Data quality management", "Data management", "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 472.4165, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc5086", "title" : "Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 36000.0, "max" : 54000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level Data Operations Analyst in Sofia, Bulgaria, adjusted for industry and company size." }, "location" : "Sofia, 23, BG", "locations" : [ "Sofia", "23", "BG" ], "timestamp" : "2026-06-16T08:16:26.404", "fingerprint" : "5b6ac65c3e679dd26cbb647a9c9172458bd94956651bfa4bbde18ebc702aaec4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132192611-data-operations-analyst", "externalId" : "744000132192611", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Snowflake, BigQuery, Redshift, Tableau, Power BI, Looker, Airflow, Prefect, ETL", "professionalSkills" : [ "Data modeling", "Data governance", "Data quality", "Data strategy" ], "hardSkillsList" : [ "Data operations", "Data warehousing", "ETL processes", "Data quality frameworks", "Data governance principles", "Data modeling", "Data pipeline orchestration", "Data cataloging", "Data security", "Data privacy", "Data visualization", "Data lineage tracking", "Data stewardship", "Data architecture", "Data strategy development", "Data analytics", "Data science", "Machine learning" ], "hardSkills" : [ { "name" : "Data operations", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Data governance principles", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data pipeline orchestration", "level" : "intermediate" }, { "name" : "Data cataloging", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data lineage tracking", "level" : "intermediate" }, { "name" : "Data stewardship", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Data strategy development", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data operations, Data warehousing, ETL, Data governance", "majorSkillsList" : [ "Data operations", "Data warehousing", "ETL", "Data governance" ], "coreResponsibilities" : "Manage and maintain data pipelines, Ensure data quality and integrity, Implement and enforce data governance policies, Develop and maintain data models, Support data analytics and business intelligence initiatives, Troubleshoot and resolve data-related issues, Collaborate with stakeholders to understand data needs, Document data processes and systems", "teamCollaboration" : "Cross-functional teams; Data engineering teams; Analytics teams; Business stakeholders", "domainKnowledge" : "Data warehousing concepts; ETL processes; Data quality frameworks; Data governance principles; Data modeling; Data pipeline orchestration; Data cataloging; Data security; Data privacy regulations", "domainList" : [ "data-warehousing-concepts", "etl-processes", "data-quality-frameworks", "data-governance-principles", "data-modeling", "data-pipeline-orchestration", "data-cataloging", "data-security", "data-privacy-regulations" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "ETL processes", "Data quality frameworks", "Data governance principles", "Data modeling", "Data pipeline orchestration", "Data cataloging", "Data security", "Data privacy regulations" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Tableau", "Power BI", "Looker", "Airflow", "Prefect" ], "documentationSkills" : "Document data processes; Document data systems", "problemSolvingSkills" : "Troubleshoot data issues; Resolve data issues", "qualificationsBasic" : "5+ years of experience in data operations, Proficiency in SQL, Experience with data warehousing concepts, Experience with ETL processes, Experience with data quality frameworks, Experience with data governance principles, Experience with data modeling, Experience with Python or R", "qualificationsPreferred" : "Experience with cloud data platforms (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with data cataloging tools, Experience with data security best practices, Experience with data privacy regulations (GDPR, CCPA), Experience with data visualization best practices, Experience with data quality monitoring tools, Experience with data lineage tracking tools, Experience with data governance frameworks, Experience with data stewardship principles, Experience with data architecture principles, Experience with data strategy development, Experience with data analytics, Experience with data science, Experience with machine learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. This position requires working on weekends. The work week would be still 40hrs as regular. Job Description: As a Data Operations Analyst , you will be accountable for the delivery of NIQ databases and reports to our clients, covering EMEA and USA region. Your work will be the key to ensure the high quality and accuracy of every delivery. Responsibilities: • Producing client databases based on production cycle times, ensuring timely and accurate delivery • Creating and maintaining files structures, according to client's instructions • Executing special projects as per business priorities • Ensuring that our system upgrades and changes are implemented and used • Working within a multicultural environment and understanding the full cycle of our data production Qualifications: • Bachelor’s degree • 1 year of any job experience or completed internships. • Very good English knowledge (B2), both verbal and written. • Good communication skills, both verbal and written. • Willingness to work in a large, international team, be a team player. • Analytical mindset. • Proficiency in PC and MS Office standard tools (e.g. Excel, Word, Access, Outlook), be a quick learner of new software. We offer: * Food vouchers € 62 * Additional Medical Insurance, incl Prophylactics, Outpatient care, Inpatient care, еxpenses for medications and medical products * Life Insurance * Multisport card (self-funded by the employee) * A Hybrid model of working: 3 days of the week you work from home (home office), 2 days from the office. * Additional paid leave of 3 days in case of no overdue leave days from previous year * Free access to LinkedIn Learning platform In addition: * Working in an international organization, once you become a specialist in your field, you can count on numerous programs offering development or relocation to other departments or countries. Your development is important to us! * Stable employment in a dynamic and international environment with an established position on the market. * Volunteer time off (Global Volunteer Day) * Free Employee Assistance Program (EAP) – confidential counselling for emotional well-being * Office located close to the city center, easily accessible by public transportation ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Operations Analyst at NielsenIQ. Skills: Data operations, Data warehousing, ETL, Data governance. Manage and maintain data pipelines. Ensure data quality and integrity", "postedDate" : "2026-06-15T12:54:19.000", "createdAt" : "2026-06-16T00:02:12.537", "lastUpdated" : "2026-06-16T08:16:26.404", "ingestTimestamp" : "2026-06-16T00:02:12.537", "mongoId" : "6a3068adf292fd229cfc5086", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data operations", "Data warehousing", "ETL processes", "Data quality frameworks", "Data governance principles", "Data modeling", "Data pipeline orchestration", "Data cataloging", "Data security", "Data privacy", "Data visualization", "Data lineage tracking", "Data stewardship", "Data architecture", "Data strategy development", "Data analytics", "Data science", "Machine learning", "ETL", "Data governance", "Data quality", "Data strategy", "Data warehousing concepts", "Data privacy regulations", "Snowflake", "BigQuery", "Redshift", "Tableau", "Power BI", "Looker", "Airflow", "Prefect" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 472.29425, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051ddf292fd229cf08208", "title" : "Research Analyst", "company" : "Kindbridge Research Institute", "industry" : "Healthcare", "salary" : { "min" : 62000.0, "max" : 72000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T10:44:40.635", "fingerprint" : "4d03b6bc971c4bb56fb357514f2284ffc693b07561716317251fcf7788ee675c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kindbridgeresearchinstitute/jobs/4281698009", "externalId" : "4281698009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "Tableau, R, Python", "professionalSkills" : [ "Research synthesis", "Public health analysis", "Policy brief development", "Knowledge translation" ], "hardSkillsList" : [ "Literature reviews", "Evidence scans", "Environmental scans", "Background research", "Data synthesis", "Data interpretation", "Scholarly research", "Applied research", "Knowledge sharing" ], "hardSkills" : [ { "name" : "Literature reviews", "level" : "intermediate" }, { "name" : "Evidence scans", "level" : "intermediate" }, { "name" : "Environmental scans", "level" : "intermediate" }, { "name" : "Background research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Scholarly research", "level" : "intermediate" }, { "name" : "Applied research", "level" : "intermediate" }, { "name" : "Knowledge sharing", "level" : "intermediate" } ], "majorSkills" : "Research, Data analysis, Knowledge translation", "majorSkillsList" : [ "Research", "Data analysis", "Knowledge translation" ], "coreResponsibilities" : "Conduct literature reviews, Conduct evidence scans, Conduct environmental scans, Conduct background research, Support development of annual reports, Support development of landscape analyses, Support development of policy briefs, Support development of surveillance products, Support development of research deliverables, Assist with synthesizing findings, Assist with interpreting findings, Assist with communicating findings, Contribute to peer-reviewed manuscripts, Contribute to conference presentations, Contribute to technical reports, Contribute to scholarly research products, Contribute to applied research products, Translate research findings into accessible materials, Create reports, Create fact sheets, Create presentations, Create infographics, Create knowledge-sharing resources, Support emerging research priorities, Support special projects, Maintain research resources, Maintain project documentation, Maintain references, Maintain dissemination materials, Maintain tracking systems, Collaborate with researchers, Collaborate with subject matter experts, Collaborate with academic partners, Collaborate with community stakeholders, Advance statewide research, Advance public health initiatives, Support stakeholder engagement, Support knowledge-sharing activities, Support dissemination efforts", "teamCollaboration" : "Work alongside researchers; Work with public health leaders; Work with community partners; Collaborate with researchers; Collaborate with subject matter experts; Collaborate with academic partners; Collaborate with community stakeholders", "projectManagementSkills" : [ "Project management skills", "Manage multiple priorities independently" ], "domainKnowledge" : "Gambling; Gaming; Digital dependencies; Public health; Behavioral health; Addiction; Gambling-related harms; Health equity; Public health surveillance; Digital well-being", "domainList" : [ "gambling", "gaming", "digital-dependencies", "public-health", "behavioral-health", "addiction", "gambling-related-harms", "health-equity", "public-health-surveillance", "digital-well-being" ], "domainSpecificKnowledge" : [ "Gambling", "Gaming", "Digital dependencies", "Public health", "Behavioral health", "Addiction", "Gambling-related harms", "Health equity", "Public health surveillance", "Digital well-being" ], "communicationSkills" : "Translate complex findings; Actionable insights for diverse audiences", "documentationSkills" : "Develop research reports; Develop policy briefs; Create reports; Create fact sheets; Create presentations; Create infographics; Create knowledge-sharing resources; Maintain project documentation; Maintain dissemination materials", "problemSolvingSkills" : "Synthesizing findings; Interpreting findings", "outcomesObjectives" : "Reduce gambling-related harms; Inform prevention initiatives; Inform treatment initiatives; Inform policy initiatives; Inform public health initiatives", "qualificationsBasic" : "Master's degree in Public Health, Master's degree in Epidemiology, Master's degree in Health Communication, Master's degree in Behavioral Health, Master's degree in a related field, Research experience, Writing experience, Communication skills, Experience conducting literature reviews, Experience conducting research synthesis, Experience conducting public health analysis, Experience developing research reports, Experience developing policy briefs, Organizational skills, Project management skills, Ability to manage multiple priorities independently, Familiarity with health equity frameworks, Experience working with diverse communities, Interest in behavioral health, Interest in addiction, Interest in gambling-related harms, Interest in health equity, Interest in public health surveillance, Interest in digital well-being, Experience working in public health, Experience working in research, Experience working in healthcare, Experience working in nonprofit, Experience working in academic settings", "qualificationsPreferred" : "Familiarity with data analysis tools a plus, Familiarity with statistics tools a plus, Familiarity with data visualization tools a plus, Tableau familiarity a plus, R familiarity a plus, Python familiarity a plus, Similar platforms familiarity a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Kindbridge Research Institute (KRI), we are pioneering work in a space that’s still taking shape—gambling-related mental health. As a non-profit at the intersection of research, behavioral health, and community well-being, KRI is leading efforts to better understand gambling behaviors and their impact on vulnerable populations such as veterans, service members, and young adults. Through partnerships with researchers, universities, and public health systems, we deliver data-driven solutions and outreach strategies that promote awareness, prevention, and access to care. We're seeking a passionate Research Analyst who is driven by the opportunity to use research as a force for positive change. As part of the Massachusetts Research & Education Collaborative (REC), you'll support research, surveillance, and knowledge translation efforts that help reduce gambling-related harms across Massachusetts. Working alongside researchers, public health leaders, and community partners, you'll transform data into actionable insights that inform prevention, treatment, policy, and public health initiatives focused on gambling, gaming, and emerging digital dependencies. This is an exciting opportunity for a public health professional who is passionate about applying research to real-world challenges and improving health outcomes for communities across Massachusetts. What You'll Do: Conduct literature reviews, evidence scans, environmental scans, and background research on gambling, gaming, digital dependencies, and related public health topics Support the development of annual reports, landscape analyses, policy briefs, surveillance products, and other research deliverables Assist with synthesizing, interpreting, and communicating findings from a variety of data sources Contribute to peer-reviewed manuscripts, conference presentations, technical reports, and other scholarly or applied research products Translate research findings into accessible materials for policymakers, healthcare providers, community organizations, and public audiences Create reports, fact sheets, presentations, infographics, and other knowledge-sharing resources Support emerging research priorities and special projects identified through stakeholder engagement, surveillance findings, and public health needs Maintain research resources, project documentation, references, dissemination materials, and tracking systems Collaborate with researchers, subject matter experts, academic partners, and community stakeholders to advance statewide research and public health initiatives Support stakeholder engagement, knowledge-sharing activities, and dissemination efforts across Massachusetts What You'll Bring: Master's degree in Public Health, Epidemiology, Health Communication, Behavioral Health, or a related field Strong research, writing, and communication skills, including the ability to translate complex findings into actionable insights for diverse audiences Experience conducting literature reviews, research synthesis, public health analysis, or developing research reports and policy briefs Strong organizational and project management skills with the ability to manage multiple priorities independently Familiarity with health equity frameworks and working with diverse communities Interest in behavioral health, addiction, gambling-related harms, health equity, public health surveillance, or digital well-being Experience working in public health, research, healthcare, nonprofit, or academic settings Familiarity with data analysis, statistics, and data visualization tools such as Tableau, R, Python, or similar platforms a plus Work Culture & Values: Flexible Remote Work: This is a fully remote position, with a preference for candidates based in Massachusetts Autonomous & Impact-Driven: We believe in giving our team members the trust, tools, and support to own their work Collaborative & Innovative: You’ll be part of a dynamic, mission-driven team that values open communication, learning, and experimentation This is more than a project—it’s a platform to grow your career, explore new territory, and make a tangible impact. Come join us at KRI! Wage or salary to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. $62,000—$72,000 USD", "summaryDescription" : "Research Analyst at Kindbridge Research Institute. Skills: Research, Data analysis, Knowledge translation. Conduct literature reviews. Conduct evidence scans", "postedDate" : "2026-06-15T23:20:17.036", "createdAt" : "2026-06-15T23:20:17.036", "lastUpdated" : "2026-06-16T10:44:40.635", "ingestTimestamp" : "2026-06-15T23:20:17.036", "mongoId" : "6a3051ddf292fd229cf08208", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62000, "salaryAnnualMax" : 72000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Literature reviews", "Evidence scans", "Environmental scans", "Background research", "Data synthesis", "Data interpretation", "Scholarly research", "Applied research", "Knowledge sharing", "Research", "Data analysis", "Knowledge translation", "Research synthesis", "Public health analysis", "Policy brief development", "Project management skills", "Manage multiple priorities independently", "Gambling", "Gaming", "Digital dependencies", "Public health", "Behavioral health", "Addiction", "Gambling-related harms", "Health equity", "Public health surveillance", "Digital well-being" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 471.23044, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305962f292fd229cf47374", "title" : "People Operations Specialist", "company" : "Colliers International EMEA", "industry" : "Real Estate", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level People Operations Specialist in Amsterdam, Netherlands, adjusted for the Real Estate industry and company size." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T08:38:51.134", "fingerprint" : "6b5ef9a8b560f2f6a33f17d41e96f859e7abf5edf6f6b3ec03e98b6bbcca7458", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/ColliersInternationalEMEA/744000132165909-people-operations-specialist", "externalId" : "744000132165909", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "HR administration", "Payroll administration", "Data analysis", "Reporting", "System optimization", "Project support" ], "hardSkillsList" : [ "HR system management", "Data processing", "Mutation processing", "Bulk data handling" ], "softSkillsList" : [ "Oplossingsgericht", "Zelfstandig", "Eigenaarschap" ], "hardSkills" : [ { "name" : "HR system management", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Mutation processing", "level" : "intermediate" }, { "name" : "Bulk data handling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Oplossingsgericht" }, { "name" : "Zelfstandig" }, { "name" : "Eigenaarschap" } ], "majorSkills" : "HR administration, Payroll administration, HR systems, Data analysis", "majorSkillsList" : [ "HR administration", "Payroll administration", "HR systems", "Data analysis" ], "coreResponsibilities" : "Process HR and payroll mutations, Process HR and payroll administration, Act as first point of contact for employees, Perform data checks, Process bulk data files, Collect HR data, Structure HR data, Analyze HR data, Build reports and dashboards, Advise on report outcomes, Bridge People and Finance data, Optimize HR system workflows, Implement new HR system, Support HR projects, Provide overviews and analyses for projects, Perform project administration", "teamCollaboration" : "Colleagues EMEA People team; External payroll administrator; Various stakeholders", "domainKnowledge" : "Real estate advisory", "domainList" : [ "real-estate-advisory" ], "domainSpecificKnowledge" : [ "Real estate advisory" ], "communicationSkills" : "Dutch; English (C1)", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Create optimal employee experience; Support Colliers development", "qualificationsBasic" : "HBO werk- en denkniveau, Minimaal 2 jaar ervaring als HR Operations Specialist, HR Officer, Salarisadministrateur of vergelijkbaar, Minimaal 32 uur beschikbaar", "qualificationsPreferred" : "Ervaring met SAP of ADP is een pré, Ervaring in een corporate omgeving is een pré", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For this position, fluent Dutch language skills are required. Samen de toekomst van vastgoed vormgeven. Dat doen we bij Colliers. Al meer dan 125 jaar. Wij zijn een internationale en beursgenoteerde adviseur die bijdraagt aan een betere samenleving door complexe vastgoedvraagstukken op te lossen en de duurzaamheidstransitie in de gebouwde omgeving te versnellen. In 2025 zijn we volledig klimaatneutraal. Colliers is actief in 70 landen met ruim 23.000 werknemers. In Nederland werken we met 250 professionals in een organisatie waar ondernemerschap, expertise en doen wat goed is, centraal staan. We streven naar een inclusieve cultuur waar je kunt zijn wie je wilt zijn. Iedereen is welkom en we willen graag dat iedereen zich ook welkom voelt. Of het nu gaat om geslacht, leeftijd, geaardheid of achtergrond, we zoeken talenten die iets extra’s meebrengen. We moedigen actief verschillende inzichten en meningen aan. Bij Colliers geloven we in doen. In eigenaarschap, ondernemerschap en vooruitgang. Als People Operations Specialist ben jij de backbone van ons People team en betrokken bij alle HR- thema’s, van onboarding tot offboarding. Je bent verantwoordelijk voor de operationele HR- en salarisadministratie, en tilt deze ook naar een hoger niveau. Je bent analytisch sterk, doorgrondt onze HR-systemen tot in de puntjes en vertaalt ruwe data naar bruikbare rapportages en inzichten. Of het nu gaat om het implementeren van een nieuwe software, het draaien van complexe analyses voor lopende projecten, of het secuur verwerken van mutaties: jij bewaart het overzicht. Door jouw bijdrage wordt de uitvoering van onze People strategie praktisch uitvoerbaar en verlopen HR processen soepel. Wat ga je doen? * HR- & Salarisadministratie: Je bent in samenwerking met onze externe salarisadministrateur verantwoordelijk voor de volledige, tijdige en correcte verwerking van mutaties en de HR- en salarisadministratie. Je bent hierin het eerste aanspreekpunt voor alle medewerkers en voert scherpe controles uit. Ook het bulk-verwerken of doorvoeren van grote databestanden is voor jou bekend terrein. * Data & Rapportage: Je verzamelt, structureert en analyseert HR-data. Je bouwt overzichtelijke rapportages en dashboards (bijv. over verzuim, verloop of fte-ontwikkeling) en adviseert het People team over de uitkomsten. Je slaat een brug tussen de People en Finance data. * Systemen & Implementaties: Jij bent de 'super-user' van onze HR-systemen. Je begrijpt de technische achterkant, optimaliseert workflows en speelt een sleutelrol bij de implementatie en inrichting van het nieuwe HR systeem. Je werkt nauw samen met collega’s uit het EMEA People team om de regionale updates bij te benen en lokaal te implementeren. * Projectondersteuning: Je ondersteunt diverse HR-projecten door het aanleveren van de juiste overzichten en analyses, doorvoeren van de bijhorende administratie en allerhande werkzaamheden. Je levert hierin een actieve bijdrage met als doel een optimale employee experience te creëren en de verdere ontwikkeling van Colliers te ondersteunen. . ## Qualifications Wat breng jij mee? * Je hebt hbo werk- en denkniveau; * Je hebt minimaal 2 jaar ervaring als HR Operations Specialist, HR Officer, Salarisadministrateur of vergelijkbaar; * Ervaring met SAP of ADP is een pré; * Je bent oplossingsgericht, zelfstandig en neemt eigenaarschap van je werk en verantwoordelijkheden; * Je hebt sterke communicatieve vaardigheden in Nederlands en Engels (C1); * Je schakelt makkelijk met verschillende stakeholders en weet overzicht te bewaren in een rol met veel diverse werkzaamheden; * Je bent minimaal 32 uur beschikbaar (hybride); * Ervaring in een corporate omgeving is een pré. Wat bieden wij? * 28 vakantiedagen * Premievrij pensioen * Premievrij WGA-hiaat en ANW-hiaat verzekering * Nederlandse feestdagen ruilen voor andere religieuze of culturele feestdag * Leasefietsregeling Bij Colliers staat het welzijn én de ontwikkeling van onze medewerkers voorop. Door samen te werken met OpenUp kunnen we alle medewerkers professionele en vertrouwelijke ondersteuning bieden. [Lees meer.](https://openup.com/) Enthousiast over deze functie? Ben jij de nieuwe collega die wij in het People Team zullen verwelkomen? Dan nodigen we je graag uit om te solliciteren. Heb je vragen over de functie? Neem dan contact op met Tanja Rammers via tanja.rammers@colliers.com ## Additional Information Recruitmentbureaus en zelfstandige recruiters: We hebben het geluk dat er veel kwalitatief goede sollicitanten op onze vacatures reageren. Zo niet, dan zetten we onze eigen search op. Mochten we er echt niet uitkomen, dan hebben we een preferred supplier. We vragen je daarom ook vriendelijk of je ons niet wilt bellen met de vraag of jullie ons hierbij kunnen helpen.", "summaryDescription" : "People Operations Specialist at Colliers International EMEA. Skills: HR administration, Payroll administration, HR systems, Data analysis. Process HR and payroll mutations. Process HR and payroll administration", "postedDate" : "2026-06-15T10:29:19.000", "createdAt" : "2026-06-15T23:42:40.519", "lastUpdated" : "2026-06-16T08:38:51.134", "ingestTimestamp" : "2026-06-15T23:42:40.519", "mongoId" : "6a305962f292fd229cf47374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "HR system management", "Data processing", "Mutation processing", "Bulk data handling", "Oplossingsgericht", "Zelfstandig", "Eigenaarschap", "HR administration", "Payroll administration", "HR systems", "Data analysis", "Reporting", "System optimization", "Project support", "Real estate advisory" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 468.10745, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69ec6", "title" : "Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 33000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level Data Operations Analyst in Sofia, Bulgaria, adjusted for industry and company size." }, "location" : "Sofia, 23, BG", "locations" : [ "Sofia", "23", "BG" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:20:28.294", "fingerprint" : "059c2e976011ac8c9fb2d9a0439211b5fdc05823bb7048689b21715aed171d78", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132192611-data-operations-analyst", "externalId" : "744000132192611", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data governance", "Data quality", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Business Intelligence, Machine Learning", "majorSkillsList" : [ "Data Engineering", "Business Intelligence", "Machine Learning" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Create and manage BI dashboards, Perform data analysis and generate insights, Implement machine learning models, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Data warehousing concepts; Cloud data platforms; Machine learning frameworks; Business intelligence principles", "domainList" : [ "data-warehousing-concepts", "cloud-data-platforms", "machine-learning-frameworks", "business-intelligence-principles" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Cloud data platforms", "Machine learning frameworks", "Business intelligence principles" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "documentationSkills" : "Technical documentation; Data dictionary maintenance", "continuousLearning" : "Stay updated on industry trends; Explore new technologies", "problemSolvingSkills" : "Troubleshoot data issues; Analyze complex datasets; Develop data-driven solutions", "outcomesObjectives" : "Improve data accessibility; Enhance data quality; Drive data-informed decisions", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. This position requires working on weekends. The work week would be still 40hrs as regular. Job Description: As a Data Operations Analyst , you will be accountable for the delivery of NIQ databases and reports to our clients, covering EMEA and USA region. Your work will be the key to ensure the high quality and accuracy of every delivery. Responsibilities: • Producing client databases based on production cycle times, ensuring timely and accurate delivery • Creating and maintaining files structures, according to client's instructions • Executing special projects as per business priorities • Ensuring that our system upgrades and changes are implemented and used • Working within a multicultural environment and understanding the full cycle of our data production Qualifications: • Bachelor’s degree • 1 year of any job experience or completed internships. • Very good English knowledge (B2), both verbal and written. • Good communication skills, both verbal and written. • Willingness to work in a large, international team, be a team player. • Analytical mindset. • Proficiency in PC and MS Office standard tools (e.g. Excel, Word, Access, Outlook), be a quick learner of new software. We offer: * Food vouchers € 62 * Additional Medical Insurance, incl Prophylactics, Outpatient care, Inpatient care, еxpenses for medications and medical products * Life Insurance * Multisport card (self-funded by the employee) * A Hybrid model of working: 3 days of the week you work from home (home office), 2 days from the office. * Additional paid leave of 3 days in case of no overdue leave days from previous year * Free access to LinkedIn Learning platform In addition: * Working in an international organization, once you become a specialist in your field, you can count on numerous programs offering development or relocation to other departments or countries. Your development is important to us! * Stable employment in a dynamic and international environment with an established position on the market. * Volunteer time off (Global Volunteer Day) * Free Employee Assistance Program (EAP) – confidential counselling for emotional well-being * Office located close to the city center, easily accessible by public transportation ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Operations Analyst at NielsenIQ. Skills: Data Engineering, Business Intelligence, Machine Learning. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T12:54:19.000", "createdAt" : "2026-06-16T00:02:21.140", "lastUpdated" : "2026-06-16T11:20:28.294", "ingestTimestamp" : "2026-06-16T00:02:21.140", "mongoId" : "6a305dbff292fd229cf69ec6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Business Intelligence", "Machine Learning", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data governance", "Data quality", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data warehousing concepts", "Cloud data platforms", "Machine learning frameworks", "Business intelligence principles", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 466.77536, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306078f292fd229cf8e693", "title" : "Product Data Specialist", "company" : "LG Electronics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Specialist in Alpharetta, United States, adjusted for the technology industry and company size." }, "location" : "Alpharetta, GA", "locations" : [ "Alpharetta", "GA" ], "timestamp" : "2026-06-16T06:22:32.751", "fingerprint" : "b64073ed4d0c895c18ccc7928b0f1daf8d1a72f77123a0b3c48be94b6f8482fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5257778008", "externalId" : "5257778008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alpharetta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0755962,-84.2945964" } ], "locationText" : "Alpharetta, Georgia, United States", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. The Opportunity: Location will be in Alpharetta, GA Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems. Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries. Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents. Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database. Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content. Collaborate with technical and support teams to validate document accuracy and relevance. Participate in periodic data quality audits and database optimization reviews. Document processes, changes, and best practices for ongoing database management and continuous improvement. Qualifications: Bachelor’s degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience. Basic understanding of data management principles, including data accuracy, consistency, and organization. Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required). Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools. Strong attention to detail and ability to follow detailed instructions. Effective written and verbal communication skills, with the ability to collaborate in a team environment. Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook). Strong organizational skills and ability to manage multiple tasks in a fast-paced environment Recruiting Range $29—$29 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Product Data Specialist at LG Electronics", "postedDate" : "2026-06-15T23:25:25.892", "createdAt" : "2026-06-15T23:25:25.892", "lastUpdated" : "2026-06-16T06:22:32.751", "ingestTimestamp" : "2026-06-15T23:25:25.892", "mongoId" : "6a306078f292fd229cf8e693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 466.6652, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc5084", "title" : "Research Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 180000.0, "max" : 300000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Analyst in Cairo, Egypt, adjusted for the market research industry and company size." }, "location" : "Cairo, C, EG", "locations" : [ "Cairo", "C", "EG" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:26:09.578", "fingerprint" : "dec1cdb4d02cd249731479254670c61f3747b4d9ed47cd6cb8b8095fa4e1977d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132203679-research-analyst", "externalId" : "744000132203679", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NielsenIQ Customer Success Team is a modern service team transforming the way we serve our clients with top-notch tools. We are the team that partners with clients to fuse data, science, and the talents of our people to provide actionable insights to the clients and in markets we serve. We are the key link between NIQ and clients. Our service and delivery is the reason clients will continue to invest in our products and service. As part of the Industry Insights team, you will be executing projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations. You will also be managing the client relationship for Accounts you own. Responsibilities •Summarize data in tables, charts, and graphs •Analyze and interpret sales data and retail audit data •Draft reports and presentations (category overview as well as issue based) building a story and finalizing conclusions and proposes recommendations •Review data for errors and inconsistencies •Use internal tools and data sources •Prepare client correspondence •Attend client meetings and presentations over the phone, virtually and in person •Discuss analysis design to best answer client questions with Client Business Partner/client with the support of Senior team members •Propose calculation of Quantified Business Opportunity About you You’ll be able to execute projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations. ## Qualifications * Good understanding of FMCG industry and trends * 0-2 years of experience in Analytics and/or industry experience * Good interpersonal skills – ability to develop relationships internally and at the client organization * Strong analytical and conceptual thinking skills. Comfortable in dealing with numbers * Able to deliver analyses of moderate complexity with almost zero supervision * Able to deliver higher complexity analyses with limited supervision * Good presentation skills and ability to deliver an end to end story in a presentation * Strong levels of clients satisfaction achieved, acknowledgement from the client on a strong mindset to help them, as well as of the results per se * Desirable: Solid Knowledge of Nielsen products and services * Desirable: Project Management experience ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Research Analyst at NielsenIQ. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-15T13:30:43.000", "createdAt" : "2026-06-16T00:26:42.446", "lastUpdated" : "2026-06-16T11:26:09.578", "ingestTimestamp" : "2026-06-16T00:26:42.446", "mongoId" : "6a3068adf292fd229cfc5084", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 465.32974, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69ebd", "title" : "Research Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Analyst in Cairo, Egypt, adjusted for the market research industry and entry-level experience." }, "location" : "Cairo, C, EG", "locations" : [ "Cairo", "C", "EG" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:04:20.083", "fingerprint" : "7d5af7181f4d236ae5bfe3092202e1d385cfdecda353f65b63e933f055fa258f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132203679-research-analyst", "externalId" : "744000132203679", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NielsenIQ Customer Success Team is a modern service team transforming the way we serve our clients with top-notch tools. We are the team that partners with clients to fuse data, science, and the talents of our people to provide actionable insights to the clients and in markets we serve. We are the key link between NIQ and clients. Our service and delivery is the reason clients will continue to invest in our products and service. As part of the Industry Insights team, you will be executing projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations. You will also be managing the client relationship for Accounts you own. Responsibilities •Summarize data in tables, charts, and graphs •Analyze and interpret sales data and retail audit data •Draft reports and presentations (category overview as well as issue based) building a story and finalizing conclusions and proposes recommendations •Review data for errors and inconsistencies •Use internal tools and data sources •Prepare client correspondence •Attend client meetings and presentations over the phone, virtually and in person •Discuss analysis design to best answer client questions with Client Business Partner/client with the support of Senior team members •Propose calculation of Quantified Business Opportunity About you You’ll be able to execute projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations. ## Qualifications * Good understanding of FMCG industry and trends * 0-2 years of experience in Analytics and/or industry experience * Good interpersonal skills – ability to develop relationships internally and at the client organization * Strong analytical and conceptual thinking skills. Comfortable in dealing with numbers * Able to deliver analyses of moderate complexity with almost zero supervision * Able to deliver higher complexity analyses with limited supervision * Good presentation skills and ability to deliver an end to end story in a presentation * Strong levels of clients satisfaction achieved, acknowledgement from the client on a strong mindset to help them, as well as of the results per se * Desirable: Solid Knowledge of Nielsen products and services * Desirable: Project Management experience ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Research Analyst at NielsenIQ. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-15T13:30:43.000", "createdAt" : "2026-06-16T00:16:42.517", "lastUpdated" : "2026-06-16T12:04:20.083", "ingestTimestamp" : "2026-06-16T00:16:42.517", "mongoId" : "6a305dbff292fd229cf69ebd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 465.32974, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7db074d8ee00a095072a", "title" : "C++ Operations Research Developer", "company" : "OMP", "industry" : "Logistics", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level C++ Operations Research Developer in Antwerp, Belgium, adjusted for the technology industry and company size." }, "location" : "BE-Antwerp", "locations" : [ "BE-Antwerp" ], "timestamp" : "2026-06-15T03:25:43.717", "fingerprint" : "5cf3d297676449caa42f3f898680f4218244e6fe6b142ef957600cb03f039f1b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/ompexternaljobboards/jobs/4871849101", "externalId" : "4871849101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Antwerp", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.2211097,4.3997081" } ], "locationText" : "Antwerp, Belgium", "minimumEducation" : "Bachelor's", "technicalSkills" : "C++, C#, JavaScript, Python, OPAL", "professionalSkills" : [ "Algorithmic thinking", "Conceptual thinking", "Software design", "Technical specifications" ], "hardSkillsList" : [ "Coding skills", "Algorithmic thinking" ], "softSkillsList" : [ "Problem solver", "Analytical thinker", "Creative mindset" ], "hardSkills" : [ { "name" : "Coding skills", "level" : "intermediate" }, { "name" : "Algorithmic thinking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Analytical thinker" }, { "name" : "Creative mindset" } ], "majorSkills" : "Operations research, Software development, Data science", "majorSkillsList" : [ "Operations research", "Software development", "Data science" ], "coreResponsibilities" : "Write high-quality code, Adhere to agile methodology, Translate functional requirements, Detail designs into specifications, Discuss functional requirements, Validate functional requirements, Review code, Maintain developments, Support developments, Grow expertise, Grow command of technology", "teamCollaboration" : "Tight-knit group; Product managers; Product analysts; Software test engineers; Quality assurance test engineers; Functional analysts; Technical writers; Project managers", "projectManagementSkills" : [ "Agile methodology" ], "domainKnowledge" : "Supply chain planning; Operations research; Data science; Integration; Supply planning; Demand planning", "domainList" : [ "supply-chain-planning", "operations-research", "data-science", "integration", "supply-planning", "demand-planning" ], "domainSpecificKnowledge" : [ "Supply chain planning", "Operations research", "Data science", "Integration", "Supply planning", "Demand planning" ], "toolProficiency" : [ "Git", "UML" ], "communicationSkills" : "Communicative", "continuousLearning" : "Personal development; Career building", "innovationCreativity" : "Innovative software solutions", "problemSolvingSkills" : "Problem solver; Analytical thinker", "qualificationsBasic" : "Bachelor's, Master's, or PhD degree, Equivalent by experience, Object-oriented programming expertise, RESTful architecture expertise, Functional programming expertise", "qualificationsPreferred" : "Relevant work experience, Internships experience, Software development best practices experience, Cloud-native technologies experience, Streaming frameworks experience, Service-oriented architecture experience, API development experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "Are you passionate about programming? Eager to solve complex and real-world problems with smart software? And do you want to work in a team where you can learn from the best to improve your skills? Become our new Software Engineer! The world of supply chain planning offers plenty of interesting challenges for you to solve. Read on to learn more. Your Challenge As a software engineer, you contribute to the creation of innovative and leading software solutions. Guided by our top-notch software architects and software experts, you participate in all the steps of the software development life cycle from analysis, architectural design, and programming to maintenance. You are proficient with your preferred technology, whether it’s C++, C#, JavaScript, Python or OPAL and are ready to take a deep dive into one or more of the key domains of our product offering ranging from data science, integration, and operations research, to supply and demand planning applications. You are responsible for: Writing code that lives up to our high-quality standards in adherence to the agile methodology and compliant with the most recent standards of your preferred technology. Translating functional requirements into software design and algorithms. Finetuning and detailing designs into technical specifications. Discussing and validating functional requirements in a tight-knit group of 3-4 team players and in close collaboration with our seasoned product managers and product analysts. Reviewing code written by your team members. Collaborating closely with software and quality assurance test engineers, functional analysts, technical writers, and project managers. Maintaining and supporting your developments according to user feedback. Growing your expertise and command of your favorite technology. About you Essential talents and qualifications: A Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, Mathematics, or similar. Alternatively, the equivalent by experience. Passionate about writing high-quality software. The eagerness to learn and stay on the edge of technology. Excellent algorithmic and conceptual thinking. A solid expertise in one or more of following domains: object-oriented programming, RESTful architecture, and/or functional programming. Bonus points if you have: Relevant work experience, including internships. Experience in using software development best practices (e.g., design patterns, UML, Git, automated testing). A first experience in cloud-native technologies, streaming frameworks, service-oriented architecture, and API development. But most of all, you are fun to work with and a great team player! Soft skills · Problem solver · Communicative · Team-player · Pragmatic attitude · Passionate · Analytical thinker · Creative mindset Hard skills · Algorithmic thinking · Coding skills Language skills Required: · English A plus: · Any other language Your future We find the perfect intersection of your talents and our evolving needs. Our talent management program supports your personal development and empowers you to build a career in line with your ambitions. Many of our team members who start as a software engineer grow into the role of software architect, software expert, project manager, or team manager.", "summaryDescription" : "C++ Operations Research Developer at OMP. Skills: Operations research, Software development, Data science. Write high-quality code. Adhere to agile methodology", "postedDate" : "2026-06-13T22:01:41.754", "createdAt" : "2026-06-13T22:01:41.754", "lastUpdated" : "2026-06-15T03:25:43.717", "ingestTimestamp" : "2026-06-13T22:01:41.754", "mongoId" : "6a2c7db074d8ee00a095072a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Coding skills", "Algorithmic thinking", "Problem solver", "Analytical thinker", "Creative mindset", "Operations research", "Software development", "Data science", "Conceptual thinking", "Software design", "Technical specifications", "Agile methodology", "Supply chain planning", "Integration", "Supply planning", "Demand planning", "Git", "UML" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 465.3123, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087def292fd229c08dff4", "title" : "Account Operations Specialist", "company" : "Inizio Ignite", "industry" : "Consulting", "salary" : { "min" : 1100000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Account Operations Specialist in India, adjusted for mid-seniority, full-time employment, and the healthcare industry." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland" ], "timestamp" : "2026-06-16T10:56:21.040", "fingerprint" : "85de74266981b995b99bf6116dd86850ecf5ad5482fc92da35aff2ffa739ecb4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ashfieldadvisory/jobs/8000002", "externalId" : "8000002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Salesforce, HubSpot", "professionalSkills" : [ "Financial governance", "Process compliance", "Team enablement", "Contract operations", "Client systems administration", "Financial operations", "Account enablement" ], "hardSkillsList" : [ "Invoicing milestone management", "Revenue quality checks", "Billing quality checks", "Expense oversight", "Onboarding coordination", "Offboarding coordination" ], "hardSkills" : [ { "name" : "Invoicing milestone management", "level" : "intermediate" }, { "name" : "Revenue quality checks", "level" : "intermediate" }, { "name" : "Billing quality checks", "level" : "intermediate" }, { "name" : "Expense oversight", "level" : "intermediate" }, { "name" : "Onboarding coordination", "level" : "intermediate" }, { "name" : "Offboarding coordination", "level" : "intermediate" } ], "majorSkills" : "Contract operations, Financial operations, Client systems administration", "majorSkillsList" : [ "Contract operations", "Financial operations", "Client systems administration" ], "coreResponsibilities" : "Review SOWs against account standards, Maintain SOW/CO templates, Enter invoicing milestones in client systems, Set up new team members, Manage team member extensions, Partner with Vynamic team members to get approvals, Manage client laptop provisioning, Manage client laptop returns, Review monthly revenue allocation, QC monthly invoicing, Review account expense reports, Flag expense outliers, Support Account Lead with sales bonus de-identification, Maintain account onboarding SOPs, Maintain account offboarding SOPs, Manage Account Lead onboarding, Execute additional account enablement requests", "teamCollaboration" : "Interact with Account Leads; Interact with Client Executives; Partner with Vynamic team members; Work with Finance; Partner with Account Leads; Partner with Client Executives; Partner with Head of Client Services", "domainKnowledge" : "Revenue and billing quality; Sales bonus de-identification", "domainList" : [ "revenue-and-billing-quality", "sales-bonus-de-identification" ], "domainSpecificKnowledge" : [ "Revenue and billing quality", "Sales bonus de-identification" ], "toolProficiency" : [ "MS Office", "Excel", "PowerPoint", "SharePoint", "CRM", "Salesforce", "HubSpot" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "3 years of experience with reporting/analytics, Bachelor's degree, MS Office Products including Excel, PowerPoint and SharePoint, Basic working knowledge of CRM, Basic working knowledge of demand tracking systems, Basic working knowledge of reporting, Excellent organizational skills, Ability to interface effectively with internal team members and external parties, Ability to prioritize and multi-task successfully, Excellent follow-up skills, Attention to details", "qualificationsPreferred" : "Experience working in or with a Sales Operations function, Experience working in or with a Client Operations function, Experience working in or with a Business Development function", "workSiteFlexibility" : "Remote", "rawDescription" : "Job Description Position Overview: The Account Operations Specialist supports leadership of top revenue generating accounts ($5M+) with key contracting, financial governance, and team enablement activities. This may include SOW review and system administration, invoicing milestone management, revenue and billing quality checks, expense oversight, onboarding/offboarding coordination, and overall process compliance to ensure smooth account functioning. The Account Operations Specialist will support Vynamic Client Services and will report to Head of Client Services, interacting extensively with the Account Leads and Client Executives. Location: India (UK hours) Approx. % of Time Responsibility/Essential Function 50% Contract Operations & Client Systems Administration Review SOWs against account standards and maintain SOW/CO templates Enter invoicing milestones in client systems Set up new team members, manage team member extensions, and partner with Vynamic team members to get approvals in client systems Manage client laptop provisioning/returns 40% Financial Operations Review monthly revenue allocation with Finance QC monthly invoicing Review account expense reports prior to account lead approval and flag outliers Support Account Lead with sales bonus de-identification/emails 10% Account Enablement Maintaining account onboarding and offboarding SOPs Manage Account Lead onboarding Execute additional account enablement requests in partnership with Account Leads, Client Executives, and/or Head of Client Services as necessary Qualifications: Minimum of 3 years of experience with reporting/analytics Experience working in or with a Sales Operations, Client Operations, or Business Development function preferred Bachelor’s degree required Strong knowledge of MS Office Products including Excel, PowerPoint and SharePoint. Basic working knowledge of CRM and demand tracking systems (e.g., Salesforce, HubSpot) Basic working knowledge of reporting Strong verbal and written communication skills Excellent organizational skills, keeping track of many moving pieces amid constant change Strong analytical skills Ability to interface effectively with internal team members and external parties Ability to prioritize and multi-task successfully in a fast-paced environment Excellent follow-up skills and attention to details Operates within Inizio Ignite values Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.", "summaryDescription" : "Account Operations Specialist at Inizio Ignite. Skills: Contract operations, Financial operations, Client systems administration. Review SOWs against account standards. Maintain SOW/CO templates", "postedDate" : "2026-06-16T01:21:50.555", "createdAt" : "2026-06-16T01:21:50.555", "lastUpdated" : "2026-06-16T10:56:21.040", "ingestTimestamp" : "2026-06-16T01:21:50.555", "mongoId" : "6a3087def292fd229c08dff4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Invoicing milestone management", "Revenue quality checks", "Billing quality checks", "Expense oversight", "Onboarding coordination", "Offboarding coordination", "Contract operations", "Financial operations", "Client systems administration", "Financial governance", "Process compliance", "Team enablement", "Account enablement", "Revenue and billing quality", "Sales bonus de-identification", "MS Office", "Excel", "PowerPoint", "SharePoint", "CRM", "Salesforce", "HubSpot" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 463.99274, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b2b74d8ee00a09108ad", "title" : "Grants Technology & Data Analyst", "company" : "The Commonwealth Fund", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Grants Technology & Data Analyst in New York City, adjusted for the healthcare industry and company size." }, "location" : "New York City, NY", "locations" : [ "New York City", "NY" ], "timestamp" : "2026-06-16T06:35:29.085", "fingerprint" : "5e0e520604c02beb1b6d1fff3ed1f1c8201594847e8836e0213608c12c24d01e", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://the-commonwealth-fund.breezy.hr/p/ed07754836a9-grants-technology-data-analyst", "externalId" : "ed07754836a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York City, New York, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "The Organization The Commonwealth Fund — among the first private foundations started by a woman philanthropist, Anna M. Harkness — was established in 1918 with the broad charge to enhance the common good. Today, the mission of The Commonwealth Fund is to promote a high-performing health care system", "summaryDescription" : "Grants Technology & Data Analyst at The Commonwealth Fund", "createdAt" : "2026-06-14T18:39:20.523", "lastUpdated" : "2026-06-16T06:35:29.085", "ingestTimestamp" : "2026-06-14T18:39:20.523", "mongoId" : "6a2c6b2b74d8ee00a09108ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 462.63815, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c94bb74d8ee00a098b6df", "title" : "Survey Technology Process Specialist", "company" : "AKS Engineering & Forestry, LLC", "industry" : "Consulting", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Survey Technology Process Specialist in Tualatin, United States, adjusted for the Engineering industry." }, "location" : "Tualatin, Oregon, United States", "locations" : [ "Tualatin", "Oregon", "United States" ], "certifications" : [ "PLS license" ], "timestamp" : "2026-06-16T05:52:21.275", "fingerprint" : "fcb9885eecdd41418646e6bdd8fad829296c93f5d5901e492868f98e3f7154b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/aksengineeringforestryllc/jobs/4185628009", "externalId" : "4185628009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tualatin", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3809339,-122.7694369" } ], "locationText" : "Tualatin, Oregon, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GNSS/RTK, Total stations, LiDAR, UAV/drone systems, Point-cloud tools, Field software, Office software, Trimble, Leica, Topcon, Python", "professionalSkills" : [ "Technology evaluation", "Process implementation", "Workflow development", "Procedure documentation", "Training development", "Equipment maintenance", "Vendor relationships", "Technical integration" ], "hardSkillsList" : [ "Survey technology", "Hardware evaluation", "Software evaluation", "Pilot projects", "Rollout plans", "Equipment procurement", "Troubleshooting", "Deliverables production", "SOP creation", "Best practices standardization", "Training delivery", "Equipment inventory", "Firmware updates", "Vendor coordination", "Technical requirements", "Workflow integration", "Adoption metrics" ], "softSkillsList" : [ "Patient teacher", "Mentor" ], "hardSkills" : [ { "name" : "Survey technology", "level" : "intermediate" }, { "name" : "Hardware evaluation", "level" : "intermediate" }, { "name" : "Software evaluation", "level" : "intermediate" }, { "name" : "Pilot projects", "level" : "intermediate" }, { "name" : "Rollout plans", "level" : "intermediate" }, { "name" : "Equipment procurement", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Deliverables production", "level" : "intermediate" }, { "name" : "SOP creation", "level" : "intermediate" }, { "name" : "Best practices standardization", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Equipment inventory", "level" : "intermediate" }, { "name" : "Firmware updates", "level" : "intermediate" }, { "name" : "Vendor coordination", "level" : "intermediate" }, { "name" : "Technical requirements", "level" : "intermediate" }, { "name" : "Workflow integration", "level" : "intermediate" }, { "name" : "Adoption metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Patient teacher" }, { "name" : "Mentor" } ], "majorSkills" : "Survey technology, Hardware implementation, Software implementation, Training", "majorSkillsList" : [ "Survey technology", "Hardware implementation", "Software implementation", "Training" ], "coreResponsibilities" : "Evaluate new survey hardware, Evaluate new survey software, Lead pilot projects, Validate capabilities, Validate workflows, Implement new technology firmwide, Develop rollout plans, Coordinate equipment procurement, Partner with leads in other offices, Complete mid-project survey tasks, Troubleshoot equipment in field, Finish field runs, Produce deliverables, Create SOPs, Maintain SOPs, Create step-by-step procedures, Maintain step-by-step procedures, Create \"how-to\" documentation, Maintain \"how-to\" documentation, Develop training materials, Deliver hands-on training, Maintain technical resources, Organize technical resources, Track outcomes", "teamCollaboration" : "Cross-office rollout; Coordinate with Project Managers; Coordinate with survey supervisors; Coordinate with CAD/GIS teams; Coordinate with vendors", "projectManagementSkills" : [ "Manage pilot projects", "Manage rollout tasks" ], "domainKnowledge" : "Survey hardware; Field software; Point-cloud processing; LiDAR workflows; UAV photogrammetry", "domainList" : [ "survey-hardware", "field-software", "point-cloud-processing", "lidar-workflows", "uav-photogrammetry" ], "domainSpecificKnowledge" : [ "Survey hardware", "Field software", "Point-cloud processing", "LiDAR workflows", "UAV photogrammetry" ], "toolProficiency" : [ "GNSS/RTK", "Total stations", "LiDAR", "UAV/drone systems", "Point-cloud tools", "Field software", "Office software", "Trimble", "Leica", "Topcon", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Presenting to nontechnical staff", "documentationSkills" : "SOPs; Step-by-step procedures; How-to documentation", "continuousLearning" : "Learn new technology", "innovationCreativity" : "Test new technology rigorously; Champion practical adoption", "problemSolvingSkills" : "Troubleshoot equipment", "specialRequirements" : "Regular field work", "qualificationsBasic" : "Deep working knowledge of survey hardware, Deep working knowledge of field software, Proven ability to troubleshoot equipment, Experience developing SOPs, Experience delivering hands-on training, Highly organized, Able to manage multiple pilot projects, Able to manage rollout tasks, Written communication, Verbal communication, Comfortable coordinating with technical teams, Comfortable presenting to nontechnical staff, Self starter", "qualificationsPreferred" : "PLS license, Working toward PLS licensure, Experience with point-cloud processing, Experience with LiDAR workflows, Experience with UAV photogrammetry, Familiarity with scripting, Familiarity with automation, Prior experience leading R&D, Prior experience leading pilot programs, Tracking adoption metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AKS, we are growing and building for the future. We bring together multidisciplined experts across the land development, energy, and infrastructure markets to take on bigger challenges and deliver solutions that make a real difference. Our teams combine creativity, technical excellence, and a collaborative, hands-on approach to solve complex problems and deliver results our clients and communities can count on. We take pride in our work and our ability to provide opportunities for our teams, support each other’s growth, and look ahead to what’s next. When you join AKS, you will ﬁnd opportunities to take ownership of meaningful projects, learn, lead, and make an impact from day one. Role summary The Survey Technology Specialist drives survey technology evaluation, implementation, and adoption across the firm. This technically focused, hands-on role evaluates new hardware and software, completes and supports in-progress survey projects, documents procedures, and develops training so survey teams can reliably use new tools and workflows. This is a fulltime, Tualatin-office role with regular field work and cross-office rollout responsibilities. Compensation will be determined case-by-case based on experience. What You’ll Do Evaluate new survey hardware and software (GNSS/RTK, total stations, LiDAR, UAV/drone systems, point-cloud tools, field and office software) and lead pilot projects to validate capabilities and workflows. Implement new technology firmwide: develop rollout plans, coordinate equipment procurement, and partner with leads in other offices to ensure smooth adoption. Complete and take ownership of mid-project survey tasks when supervisors need assistance—troubleshoot, finish field runs, and produce deliverables to get projects to closeout. Create and maintain SOPs, step-by-step procedures, and “how-to” documentation that memorialize existing knowledge and standardize best practices. Develop training materials and deliver hands-on training sessions for survey crews and office staff; act as a clear, patient teacher and mentor. Maintain and organize technical resources: equipment inventory, maintenance schedules, firmware updates, and vendor relationships. Coordinate with Project Managers, survey supervisors, CAD/GIS teams, and vendors to ensure technical requirements are met and workflows integrate across disciplines. Track outcomes from R exact requirements are flexible and will be evaluated case by case based on demonstrated technical skill. Deep working knowledge of survey hardware and field software (GNSS/RTK, total stations, UAVs, LiDAR/point-cloud tools, Trimble/Leica/Topcon or similar). Proven ability to troubleshoot equipment in the field and complete projects to deliverable quality. Experience developing SOPs and training materials, and delivering effective hands-on training. Highly organized, detail oriented, and able to manage multiple pilot projects and rollout tasks. Strong written and verbal communication skills; comfortable coordinating with technical teams and presenting to nontechnical staff. Self starter who seeks out new technology, tests it rigorously, and champions practical adoption. Nice to Have PLS license or working toward licensure (licensure not required for the role but valued). Experience with point-cloud processing, LiDAR workflows, or UAV photogrammetry. Familiarity with scripting or automation (Python) for survey/GIS tasks. Prior experience leading R&D or pilot programs and tracking adoption metrics. Why AKS? At AKS, we believe your work should support your life, not the other way around. Here's what you can count on when you join our team: Meaningful Growth: Whether you're just starting out or looking to advance, we offer hands-on training, mentorship, and clear paths for professional development so you can grow with purpose. Real Collaboration: Join a team that brings diverse perspectives together to solve complex challenges with creativity, curiosity, and a shared commitment to quality. Respect for Your Time: We value work-life balance and offer generous PTO and a supportive environment that helps you manage both personal and professional responsibilities. Benefits That Care: You’ll have access to health coverage that supports your total well-being, plus a 401(k) match, paid holidays, and more resources to help you thrive. Weekly Team Lunches: Take a break and recharge with your teammates, we believe food brings people together. Culture That Connects: We invest in experiences that build strong teams and strong communities. A Place People Love to Work: We’ve been named one of the Top Workplaces year after year. Join us and be part of a team that values your contributions, celebrates initiative, and is committed to doing things the right way for our employees, clients, and communities.", "summaryDescription" : "Survey Technology Process Specialist at AKS Engineering & Forestry, LLC. Skills: Survey technology, Hardware implementation, Software implementation, Training. Evaluate new survey hardware. Evaluate new survey software", "postedDate" : "2026-06-14T20:08:55.843", "createdAt" : "2026-06-14T20:08:55.843", "lastUpdated" : "2026-06-16T05:52:21.275", "ingestTimestamp" : "2026-06-14T20:08:55.843", "mongoId" : "6a2c94bb74d8ee00a098b6df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Survey technology", "Hardware evaluation", "Software evaluation", "Pilot projects", "Rollout plans", "Equipment procurement", "Troubleshooting", "Deliverables production", "SOP creation", "Best practices standardization", "Training delivery", "Equipment inventory", "Firmware updates", "Vendor coordination", "Technical requirements", "Workflow integration", "Adoption metrics", "Patient teacher", "Mentor", "Hardware implementation", "Software implementation", "Training", "Technology evaluation", "Process implementation", "Workflow development", "Procedure documentation", "Training development", "Equipment maintenance", "Vendor relationships", "Technical integration", "Manage pilot projects", "Manage rollout tasks", "Survey hardware", "Field software", "Point-cloud processing", "LiDAR workflows", "UAV photogrammetry", "PLS license", "GNSS/RTK", "Total stations", "LiDAR", "UAV/drone systems", "Point-cloud tools", "Office software", "Trimble", "Leica", "Topcon", "Python" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 461.95212, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e4674d8ee00a0af6a82", "title" : "Staff Research Scientist, AI2 Research", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Research Scientist in Sunnyvale, United States, adjusted for the technology industry and company size." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T13:50:09.776", "fingerprint" : "4ec15aef3d559182bbf4aa45a6968e1141811be187806f764d971a862d01efe4", "source" : "google", "language" : "en", "externalId" : "124340432749372102", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, AI research", "majorSkillsList" : [ "Data science", "Machine learning", "AI research" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "summaryDescription" : "Staff Research Scientist, AI2 Research. Skills: Data science, Machine learning, AI research", "postedDate" : "2026-06-16T01:48:31.954", "createdAt" : "2026-06-16T01:48:31.954", "lastUpdated" : "2026-06-16T13:50:09.776", "ingestTimestamp" : "2026-06-16T01:48:31.954", "mongoId" : "6a210e4674d8ee00a0af6a82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "AI research", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 461.9171, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a20ff292fd229c118aba", "title" : "Research Pharmacy Technician", "company" : "Arizona Liver Health", "industry" : "Pharma", "salary" : { "min" : 24.0, "max" : 28.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Flagstaff ACT", "locations" : [ "Flagstaff ACT" ], "certifications" : [ "Pharmacy Technician Certification Board (PTCB) certification", "Arizona Board of Pharmacy Technician license" ], "timestamp" : "2026-06-16T12:45:38.980", "fingerprint" : "2cad0afa4df35288c42f3196e548245d9568fd0bcb63b6f3e93c0e17f64b8d37", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://azliver.com/careers-all-open-positions/?gh_jid=5263594008", "externalId" : "5263594008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Flagstaff", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1987522,-111.6518220" } ], "locationText" : "Flagstaff, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "Pharmacy software", "professionalSkills" : [ "Medication compounding", "Inventory management", "Patient counseling" ], "hardSkillsList" : [ "Compounding sterile products", "Medication dispensing", "Drug inventory control" ], "hardSkills" : [ { "name" : "Compounding sterile products", "level" : "intermediate" }, { "name" : "Medication dispensing", "level" : "intermediate" }, { "name" : "Drug inventory control", "level" : "intermediate" } ], "majorSkills" : "Pharmacy operations, Clinical research support", "majorSkillsList" : [ "Pharmacy operations", "Clinical research support" ], "coreResponsibilities" : "Prepare and dispense medications, Compound sterile and non-sterile preparations, Manage pharmacy inventory and order supplies, Maintain accurate patient records, Assist with clinical trial documentation, Ensure compliance with regulatory standards, Provide patient counseling on medication use, Perform quality control checks", "teamCollaboration" : "Physicians; Nurses; Research staff", "domainKnowledge" : "Pharmacy practice; Clinical trial protocols; Good Pharmacy Practice (GPP); Good Clinical Practice (GCP)", "domainList" : [ "pharmacy-practice", "clinical-trial-protocols", "good-pharmacy-practice-gpp", "good-clinical-practice-gcp" ], "domainSpecificKnowledge" : [ "Pharmacy practice", "Clinical trial protocols", "Good Pharmacy Practice (GPP)", "Good Clinical Practice (GCP)" ], "toolProficiency" : [ "Pharmacy management software", "Microsoft Office Suite" ], "communicationSkills" : "Patient counseling", "documentationSkills" : "Patient records; Clinical trial documentation", "problemSolvingSkills" : "Troubleshooting medication errors", "qualificationsBasic" : "1 year of pharmacy technician experience, High school diploma or GED, Current Pharmacy Technician Certification Board (PTCB) certification, Arizona Board of Pharmacy Technician license", "qualificationsPreferred" : "Experience with electronic health records (EHR) systems, Experience in clinical research settings", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us: Arizona Liver Health (ALH) is dedicated to driving high standards of care and advancing medical innovation through leading clinical trials, ensuring patient safety and regulatory compliance, and generating high-quality clinical data. Our network of multiphase, multitherapeutic research, standard of care, and VEN Centers sites is staffed by skilled providers, research, clinic, pharmacy, and patient outreach professionals. ALH operates state-of-the-art facilities and programs to meet the evolving needs of clinical research and overall patient treatment. Job Summary: Arizona Liver Health/Arizona Clinical Trials is looking for qualified candidates for the Research Pharmacy Technician position in Flagstaff. Title: Research Pharmacy Technician (Flagstaff, AZ) Compensation: $24.50- $28.50 per hour, depending on experience Work Schedule: Monday-Friday, 7:00a - 4:00p (set schedule) Key Responsibilities: Receiving and verifying the accuracy and authenticity of investigational products prescriptions Reviewing and recording patient information with their medication in compliance with the guidelines of the protocol Stocking the pharmacy with inventory Providing instructions to educate people on the correct way to take their medicine Supporting the Pharmacist in the daily operation of the pharmacy Protecting employees and patients by adhering to infection-control protocols and policies Disbursing completed and confirmed meds to patients Answering incoming calls and fielding patient questions Maintaining a clean and safe pharmacy by complying with regulations, rules and procedures Maintain accountability logs Knowledge, Skills, and Abilities: Certified Pharmacy Technician At least one (1) year experience working as a pharmacy tech at a private practice, hospital, or pharmacy setting Adhere to IRB approved protocols Understand good clinical practice (GCP) and regulatory compliance Comply with institutional policies, standard operating procedures (SOPs) and guidelines Knowledge of basic medical terminology Availability to work weekends as needed Effective communication, excellent attention to detail, strong information and time management, and administrative/computer skills Bilingual (Spanish-Speaking) preferred Education and Experience: High school diploma or GED from an accredited institution required Associate degree or active Pharmacy Tech license preferred Minimum (1) year experience working in a clinical research setting preferred Benefits & Perks: Health, Dental, Vision (with HSA plans and employer contribution) 2 Weeks PTO 5 days Sick Time 7 Company holidays + 2 Half-days 401k with company match Short- & Long-Term Disability Educational Assistance Shared company vehicles for required travel Travel Requirements: Some inter-office travel may be required as needed with the use of a company vehicle or mileage reimbursement. Work authorization/security clearance requirements Must have valid documentation and authorization to work in the U. S. for any employer EEO Statement: It is the policy of the Institute for Liver Health DBA Arizona Liver Health and Arizona Clinical Trials to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruiting, employment, placement, promotion, transfer, demotion, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational qualifications, business necessity or age limitations will be adhered to by the company where appropriate. Notice to Staffing Agencies: It is our policy that any and all contact with third party staffing or recruitment vendors come through our Talent Acquisition Team directly. We have an established and preferred network of contracted partners that we engage if and when we deem it necessary. We request that staffing agencies refrain from repeatedly contacting our hiring managers or employees directly. Unsolicited resumes, onsite solicitations, and inquiries will not be considered or responded to. Overly persistent or forceful inquires may also be blocked across our network at the domain level as spam. Thank you for your understanding.", "summaryDescription" : "Research Pharmacy Technician at Arizona Liver Health. Skills: Pharmacy operations, Clinical research support. Prepare and dispense medications. Compound sterile and non-sterile preparations", "postedDate" : "2026-06-16T03:16:56.054", "createdAt" : "2026-06-16T03:16:56.054", "lastUpdated" : "2026-06-16T12:45:38.980", "ingestTimestamp" : "2026-06-16T03:16:56.054", "mongoId" : "6a30a20ff292fd229c118aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 49920, "salaryAnnualMax" : 58240, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Compounding sterile products", "Medication dispensing", "Drug inventory control", "Pharmacy operations", "Clinical research support", "Medication compounding", "Inventory management", "Patient counseling", "Pharmacy practice", "Clinical trial protocols", "Good Pharmacy Practice (GPP)", "Good Clinical Practice (GCP)", "Pharmacy Technician Certification Board (PTCB) certification", "Arizona Board of Pharmacy Technician license", "Pharmacy management software", "Microsoft Office Suite" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 461.1058, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05474d8ee00a09a1e59", "title" : "Data Annotation Specialist", "company" : "Saronic Technologies", "industry" : "Software", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Annotation Specialist in Austin, United States, adjusted for the technology industry and contract employment type." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T02:28:21.795", "fingerprint" : "86d6befb0b593bae139fe66e3e03918ebb395121850177663e1c5ae2e77a5e83", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/f418b71d-d2e1-49e3-9a54-b41a2c5f5e97/application", "externalId" : "f418b71d-d2e1-49e3-9a54-b41a2c5f5e97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "technicalSkills" : "Computer vision", "hardSkillsList" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" }, { "name" : "Video annotation", "level" : "intermediate" }, { "name" : "Sensor data annotation", "level" : "intermediate" }, { "name" : "Object identification", "level" : "intermediate" }, { "name" : "Quality review", "level" : "intermediate" }, { "name" : "Labeling guidelines", "level" : "intermediate" } ], "majorSkills" : "Data annotation, Computer vision", "majorSkillsList" : [ "Data annotation", "Computer vision" ], "coreResponsibilities" : "Annotate visual datasets, Review visual datasets, Train machine-learning models, Evaluate machine-learning models, Annotate image data, Annotate video data, Annotate infrared data, Annotate sensor data, Identify vessels, Identify objects, Identify environmental features, Maintain accuracy, Maintain consistency, Maintain productivity, Apply labeling guidelines, Escalate unclear edge cases, Perform manual annotation, Review auto-labeled data, Support priority project deadlines", "teamCollaboration" : "Support technical team", "domainKnowledge" : "Maritime autonomy; Maritime perception", "domainList" : [ "maritime-autonomy", "maritime-perception" ], "domainSpecificKnowledge" : [ "Maritime autonomy", "Maritime perception" ], "toolProficiency" : [ "Labelbox", "CVAT" ], "qualificationsBasic" : "Prior experience in computer vision data annotation, Familiarity with annotation tools, Experience with annotation types, Visual pattern recognition, Spatial reasoning, Attention to detail, Comfortable performing repetitive work, Able to adapt to changing priorities, Communication skills, Willingness to ask questions, Willingness to accept feedback, Willingness to collaborate with the team", "qualificationsPreferred" : "Basic understanding of maritime environments, Basic understanding of autonomous systems, Basic understanding of robotics, Basic understanding of defense technology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development. The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team. This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic’s standard full-time benefits. This position reports to the Data Annotation Manager. RESPONSIBILITIES - Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods. - Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy. - Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets. - Apply evolving labeling guidelines and escalate unclear edge cases when needed. - Perform both manual annotation work and quality review of auto-labeled data as needed. - Willingness to support priority project deadlines when needed. QUALIFICATIONS - Prior experience in computer vision data annotation or labeling. - Familiarity with annotation tools such as Labelbox, CVAT, or similar - Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification. - Strong visual pattern recognition, spatial reasoning, and attention to detail. - Comfortable performing repetitive, process-driven work for extended periods while maintaining quality. - Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment. - Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team. - Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus. Saronic CCPA Notice for Candidates and California Employees https://saronic-assets-public.s3.us-east-2.amazonaws.com/Saronic%20CCPA%20Notice%20for%20Candidates%20and%20California%20Employees.pdf If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Data Annotation Specialist at Saronic Technologies. Skills: Data annotation, Computer vision. Annotate visual datasets. Review visual datasets", "createdAt" : "2026-06-14T18:14:23.473", "lastUpdated" : "2026-06-16T02:28:21.795", "ingestTimestamp" : "2026-06-14T18:14:23.473", "mongoId" : "6a2ca05474d8ee00a09a1e59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines", "Computer vision", "Maritime autonomy", "Maritime perception", "Labelbox", "CVAT" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 455.06735, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f9af292fd229c05b362", "title" : "Operations Manager, Data Center Operations", "salary" : { "min" : 120000.0, "max" : 200000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Data Center Operations in Kuala Lumpur, Malaysia, adjusted for industry and seniority." }, "location" : "[Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, [Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia], Kuala Lumpur, null, Federal Territory of Kuala Lumpur, MY]", "locations" : [ "[Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, [Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia], Kuala Lumpur, null, Federal Territory of Kuala Lumpur, MY]", "[Sungai Buloh, Selangor, Malaysia, [Sungai Buloh, Selangor, Malaysia], Sungai Buloh, null, Selangor, MY]" ], "timestamp" : "2026-06-16T10:43:37.018", "fingerprint" : "0ae098c9afa1d8e9e6b453fd16f6710cef91ce28f94e6ef24aa0ceff444305dc", "source" : "google", "language" : "en", "externalId" : "90438842938467014", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "state" : "Federal Territory of Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1395162,101.6937727" } ], "locationText" : "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Operations Manager, Data Center Operations", "postedDate" : "2026-06-16T01:49:26.424", "createdAt" : "2026-06-16T01:49:26.424", "lastUpdated" : "2026-06-16T10:43:37.018", "ingestTimestamp" : "2026-06-16T01:49:26.424", "mongoId" : "6a307f9af292fd229c05b362", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 454.53265, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058bdf292fd229cf43fae", "title" : "Data Entry Specialist", "company" : "Sourcefit", "salary" : { "min" : 315000.0, "max" : 455000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Entry Specialist in Quezon City, Philippines, adjusted for full-time onsite employment." }, "location" : "Eastwood Quezon City, PH", "locations" : [ "Eastwood Quezon City", "PH" ], "timestamp" : "2026-06-16T07:03:31.287", "fingerprint" : "76842696737a334f61684186c3848e3feec5e25c14b8782fca4e62aabe394876", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/76a78952e7fa-data-entry-specialist", "externalId" : "76a78952e7fa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Enter data into systems, Verify data accuracy, Maintain data integrity, Generate reports from data, Process information accurately", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Entry Specialist at Sourcefit. Enter data into systems. Verify data accuracy", "createdAt" : "2026-06-15T22:12:30.356", "lastUpdated" : "2026-06-16T07:03:31.287", "ingestTimestamp" : "2026-06-15T22:12:30.356", "mongoId" : "6a3058bdf292fd229cf43fae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "_score" : 454.49194, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a305638f292fd229cf2605a", "title" : "Temporary Research Aide", "company" : "Temporary Research Aide", "industry" : "Education", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T11:48:45.400", "fingerprint" : "da2e58118498c2578bfb7d2baad90e0d3709f8553eea22e52872e0f770019b85", "source" : "workday", "language" : "en", "applyUrl" : "https://cornell.wd1.myworkdayjobs.com/CornellCareerPage/job/Ithaca-Main-Campus/Temporary-Research-Aide---PEH_WDR-00059187-2", "externalId" : "WDR-00059187", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data collection, Literature reviews, Data analysis", "majorSkillsList" : [ "Data collection", "Literature reviews", "Data analysis" ], "coreResponsibilities" : "Assist with data collection, Assist with literature reviews, Assist with basic data analysis, Assist with coordination of research activities, Organize datasets, Contribute to field work, Contribute to laboratory work, Prepare summaries of scientific findings, Support project documentation, Support project reporting", "teamCollaboration" : "Work independently; Work collaboratively; Multidisciplinary research environment", "domainKnowledge" : "Human health; Animal health; Environmental health", "domainList" : [ "human-health", "animal-health", "environmental-health" ], "domainSpecificKnowledge" : [ "Human health", "Animal health", "Environmental health" ], "documentationSkills" : "Project documentation; Project reporting", "qualificationsBasic" : "Attention to detail, Organizational skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Research Aides in Public and Ecosystem Health will support faculty-led projects by assisting with data collection, literature reviews, basic data analysis, and coordination of research activities related to human, animal, and environmental health. Responsibilities may include organizing datasets, contributing to field or laboratory work, preparing summaries of scientific findings, and supporting project documentation and reporting. The position requires attention to detail, strong organizational skills, and the ability to work both independently and collaboratively in a multidisciplinary research environment. This is a casual, part-time position not to exceed 19 hours per week; the specific schedule, duration, and hours will be determined in consultation with the hiring faculty member. The anticipated pay rate for this position is **$20.00 per hour**. _**University Job Title:**_ Temporary Research Aide _**Job Family:**_ Temporary Academic Support _**Level:**_ No Grade - Hourly _**Pay Rate Type:**_ Hourly _**Pay Range:**_ Refer to Posting Language _**Remote Option Availability:**_ Onsite _**Company:**_ _**Contact Name:**_ Gabriel Gonzalez _**Contact Email:**_ gag95@cornell.edu **Job Titles and Pay Ranges:** **Non-Union Positions** Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: * Prior relevant work or industry experience * Education level to the extent education is relevant to the position * Unique applicable skills * Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see [Career Navigator](https://hr.cornell.edu/career-navigator). **Union Positions** The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see [Union Pay Rates](https://hr.cornell.edu/union-pay-ranges-cornell). **Current Employees:** If you currently work at Cornell University, please exit this website and log in to [Workday](https://www.myworkday.com/cornell/d/home.htmld) using your Net ID and password. Select the Career icon on your **_Home_** dashboard to view jobs at Cornell. **Online Submission Guidelines** : Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit [How We Hire](https://hr.cornell.edu/jobs/how-we-hire) on the HR website. **Employment Assistance:** For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email [mycareer@cornell.edu](mailto:mycareer@cornell.edu). If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at [accommodations@cornell.edu](mailto:accommodations@cornell.edu). Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing [mycareer@cornell.edu](mailto:mycareer@cornell.edu). **Notice to Applicants:** Please read the required Notice to Applicants statement by [**clicking here**](https://hr.cornell.edu/important-notice-applicants). This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. **EEO Statement:** Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2026-06-12", "summaryDescription" : "Temporary Research Aide at Temporary Research Aide. Skills: Data collection, Literature reviews, Data analysis. Assist with data collection. Assist with literature reviews", "postedDate" : "2026-06-16T03:47:44.620", "createdAt" : "2026-06-16T03:47:44.553", "lastUpdated" : "2026-06-16T11:48:45.400", "ingestTimestamp" : "2026-06-16T03:47:44.553", "mongoId" : "6a305638f292fd229cf2605a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://cornell.wd1.myworkdayjobs.com/CornellCareerPage/job/Ithaca-Main-Campus/Temporary-Research-Aide---PEH_WDR-00059187-2", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data collection", "Literature reviews", "Human health", "Animal health", "Environmental health" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 454.1275, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066cdf292fd229cfb5e76", "title" : "Account Operations Specialist", "company" : "Inizio", "industry" : "Consulting", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Account Operations Specialist in India, adjusted for mid-seniority, remote work, and the healthcare industry." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland" ], "timestamp" : "2026-06-16T09:12:41.307", "fingerprint" : "e4eb5e060f6555b1a46c226f6614bbe1e7a97640136c871f413cd19e57c79814", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inizio/jobs/8007373", "externalId" : "8007373", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Excel, PowerPoint, SharePoint, CRM, Salesforce, HubSpot", "professionalSkills" : [ "Financial governance", "Process compliance", "Reporting", "Analytics", "Team enablement" ], "hardSkillsList" : [ "SOW review", "Invoicing", "Expense oversight", "Onboarding coordination", "Offboarding coordination" ], "hardSkills" : [ { "name" : "SOW review", "level" : "intermediate" }, { "name" : "Invoicing", "level" : "intermediate" }, { "name" : "Expense oversight", "level" : "intermediate" }, { "name" : "Onboarding coordination", "level" : "intermediate" }, { "name" : "Offboarding coordination", "level" : "intermediate" } ], "majorSkills" : "Contract Operations, Client Systems Administration, Financial Operations, Account Enablement", "majorSkillsList" : [ "Contract Operations", "Client Systems Administration", "Financial Operations", "Account Enablement" ], "coreResponsibilities" : "Review SOWs against account standards, Maintain SOW/CO templates, Enter invoicing milestones in client systems, Set up new team members, Manage team member extensions, Partner with Vynamic team members for approvals, Manage client laptop provisioning, Manage client laptop returns, Review monthly revenue allocation, QC monthly invoicing, Review account expense reports, Flag expense outliers, Support Account Lead with sales bonus de-identification, Maintain account onboarding SOPs, Maintain account offboarding SOPs, Manage Account Lead onboarding, Execute account enablement requests", "teamCollaboration" : "Internal team members; External parties; Account Leads; Client Executives; Head of Client Services", "domainKnowledge" : "Revenue allocation; Billing quality", "domainList" : [ "revenue-allocation", "billing-quality" ], "domainSpecificKnowledge" : [ "Revenue allocation", "Billing quality" ], "toolProficiency" : [ "MS Office", "Excel", "PowerPoint", "SharePoint", "CRM", "Salesforce", "HubSpot" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "3 years of experience with reporting/analytics, Knowledge of MS Office Products, Basic working knowledge of CRM, Basic working knowledge of demand tracking systems, Basic working knowledge of reporting, Ability to interface effectively, Ability to prioritize and multi-task, Excellent follow-up skills, Attention to details", "qualificationsPreferred" : "Experience working in or with a Sales Operations function, Experience working in or with a Client Operations function, Experience working in or with a Business Development function", "rawDescription" : "Job Description Position Overview: The Account Operations Specialist supports leadership of top revenue generating accounts ($5M+) with key contracting, financial governance, and team enablement activities. This may include SOW review and system administration, invoicing milestone management, revenue and billing quality checks, expense oversight, onboarding/offboarding coordination, and overall process compliance to ensure smooth account functioning. The Account Operations Specialist will support Vynamic Client Services and will report to Head of Client Services, interacting extensively with the Account Leads and Client Executives. Location: India (UK hours) Approx. % of Time Responsibility/Essential Function 50% Contract Operations & Client Systems Administration Review SOWs against account standards and maintain SOW/CO templates Enter invoicing milestones in client systems Set up new team members, manage team member extensions, and partner with Vynamic team members to get approvals in client systems Manage client laptop provisioning/returns 40% Financial Operations Review monthly revenue allocation with Finance QC monthly invoicing Review account expense reports prior to account lead approval and flag outliers Support Account Lead with sales bonus de-identification/emails 10% Account Enablement Maintaining account onboarding and offboarding SOPs Manage Account Lead onboarding Execute additional account enablement requests in partnership with Account Leads, Client Executives, and/or Head of Client Services as necessary Qualifications: Minimum of 3 years of experience with reporting/analytics Experience working in or with a Sales Operations, Client Operations, or Business Development function preferred Bachelor’s degree required Strong knowledge of MS Office Products including Excel, PowerPoint and SharePoint. Basic working knowledge of CRM and demand tracking systems (e.g., Salesforce, HubSpot) Basic working knowledge of reporting Strong verbal and written communication skills Excellent organizational skills, keeping track of many moving pieces amid constant change Strong analytical skills Ability to interface effectively with internal team members and external parties Ability to prioritize and multi-task successfully in a fast-paced environment Excellent follow-up skills and attention to details Operates within Inizio Ignite values Don't meet every job requirement? That's okay! Our company is dedicated to building an inclusive and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.", "summaryDescription" : "Account Operations Specialist at Inizio. Skills: Contract Operations, Client Systems Administration, Financial Operations, Account Enablement. Review SOWs against account standards. Maintain SOW/CO templates", "postedDate" : "2026-06-15T23:26:24.919", "createdAt" : "2026-06-15T23:26:24.919", "lastUpdated" : "2026-06-16T09:12:41.307", "ingestTimestamp" : "2026-06-15T23:26:24.919", "mongoId" : "6a3066cdf292fd229cfb5e76", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SOW review", "Invoicing", "Expense oversight", "Onboarding coordination", "Offboarding coordination", "Contract Operations", "Client Systems Administration", "Financial Operations", "Account Enablement", "Financial governance", "Process compliance", "Reporting", "Analytics", "Team enablement", "Revenue allocation", "Billing quality", "MS Office", "Excel", "PowerPoint", "SharePoint", "CRM", "Salesforce", "HubSpot" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 451.50543, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69ee6", "title" : "Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 70000.0, "max" : 110000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Operations Analyst in Subang Jaya, Malaysia, adjusted for the market research industry and company size." }, "location" : "Subang Jaya, 10, MY", "locations" : [ "Subang Jaya", "10", "MY" ], "timestamp" : "2026-06-16T08:34:36.616", "fingerprint" : "715f0a1479055d1a30e106b66ad9c04695a032ca0ee7511ab677da97e93bd663", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132109744-data-operations-analyst", "externalId" : "744000132109744", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Subang Jaya", "state" : "10", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0514870,101.5823339" } ], "locationText" : "Subang Jaya, 10, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Science/ Computer Science/ Business Information Systems or IT equivalent", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, ETL, Data Warehousing, Data Modeling, Data Quality, Data Governance, BI Tools, Snowflake, BigQuery, Redshift, Airflow, Prefect, Data Cataloging, Data Security, Data Visualization, Scripting Languages, Data Lineage, Data Architecture", "professionalSkills" : [ "Data Operations", "Data Analysis", "Problem Solving", "Analytical Thinking" ], "hardSkillsList" : [ "Data Manipulation", "Data Quality Monitoring", "Data Stewardship", "Data Architecture Design" ], "hardSkills" : [ { "name" : "Data Manipulation", "level" : "intermediate" }, { "name" : "Data Quality Monitoring", "level" : "intermediate" }, { "name" : "Data Stewardship", "level" : "intermediate" }, { "name" : "Data Architecture Design", "level" : "intermediate" } ], "majorSkills" : "Data Operations, Data Quality, Data Governance, ETL Processes", "majorSkillsList" : [ "Data Operations", "Data Quality", "Data Governance", "ETL Processes" ], "coreResponsibilities" : "Manage and maintain data pipelines, Ensure data quality and integrity, Implement data governance policies, Develop and maintain data models, Monitor data systems for performance and issues, Troubleshoot data-related problems, Collaborate with data engineers and analysts, Document data processes and standards, Support data users across the organization, Automate data operations tasks", "teamCollaboration" : "Data engineers; Data analysts; Business stakeholders", "domainKnowledge" : "Data Warehousing Concepts; ETL Processes; Data Modeling; Data Quality Frameworks; Data Governance Principles; Data Security Best Practices; Data Lineage Tracking; Data Stewardship; Data Architecture Principles", "domainList" : [ "data-warehousing-concepts", "etl-processes", "data-modeling", "data-quality-frameworks", "data-governance-principles", "data-security-best-practices", "data-lineage-tracking", "data-stewardship", "data-architecture-principles" ], "domainSpecificKnowledge" : [ "Data Warehousing Concepts", "ETL Processes", "Data Modeling", "Data Quality Frameworks", "Data Governance Principles", "Data Security Best Practices", "Data Lineage Tracking", "Data Stewardship", "Data Architecture Principles" ], "toolProficiency" : [ "SQL", "Python", "R", "BI Tools", "Snowflake", "BigQuery", "Redshift", "Airflow", "Prefect", "Data Cataloging Tools", "Data Visualization Tools" ], "documentationSkills" : "Document data processes; Document data standards", "problemSolvingSkills" : "Troubleshoot data problems; Root cause analysis", "outcomesObjectives" : "Ensure data accuracy; Improve data accessibility; Enhance data reliability; Support data-driven decision making", "qualificationsBasic" : "5+ years of experience in data operations, Proficiency in SQL, Experience with data warehousing concepts, Experience with ETL processes, Experience with data modeling, Experience with data quality frameworks, Experience with data governance principles, Experience with Python or R for data manipulation, Experience with BI tools", "qualificationsPreferred" : "Experience with cloud data platforms (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with data cataloging tools, Experience with data security best practices, Experience with data visualization tools, Experience with scripting languages, Experience with data quality monitoring tools, Experience with data lineage tracking, Experience with data stewardship, Experience with data architecture principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. About the job * Acts as point-of contact for Input Operations processes * Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables * Act as the SPOC for all the queries/data investigations and managing the internal stakeholders on the assigned queries Responsibilities * 1st function IV - Input Validation level, Production flow, what kind of validation, overall flow of the production, how functions coordinate each other * Database management system - understanding; can see a broader picture of the function * Get data from different sources, data handling, data evaluation, data analytics * Data Production process, reports * what kind of output that needs to be impacted from the input approach * 60%/ 70% system knowledge; 40%/ 30% analytics * Focus on IV - should see a broader level, what can foresee/ view on data * In-house system/ execution system * Project implementation, research - getting input from RMS or different sources, data validatio ## Qualifications * Bachelor of Science/ Computer Science/ Business Information Systems or IT equivalent * Excellent organization skills, aptitude to work in team and meet deadlines * A high degree of accuracy, proactivity and attention to detail * Good analytics skills and aptitude for data and operational processes * Project management aptitude (critical path, task sequencing, problem solving, etc.) * Common business language knowledge (English): speaking and writing with fluency ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Operations Analyst at NielsenIQ. Skills: Data Operations, Data Quality, Data Governance, ETL Processes. Manage and maintain data pipelines. Ensure data quality and integrity", "postedDate" : "2026-06-15T04:08:07.000", "createdAt" : "2026-06-16T00:14:06.104", "lastUpdated" : "2026-06-16T08:34:36.616", "ingestTimestamp" : "2026-06-16T00:14:06.104", "mongoId" : "6a305dbff292fd229cf69ee6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data Manipulation", "Data Quality Monitoring", "Data Stewardship", "Data Architecture Design", "Data Operations", "Data Quality", "Data Governance", "ETL Processes", "Data Analysis", "Problem Solving", "Analytical Thinking", "Data Warehousing Concepts", "Data Modeling", "Data Quality Frameworks", "Data Governance Principles", "Data Security Best Practices", "Data Lineage Tracking", "Data Architecture Principles", "SQL", "Python", "R", "BI Tools", "Snowflake", "BigQuery", "Redshift", "Airflow", "Prefect", "Data Cataloging Tools", "Data Visualization Tools" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 450.8699, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca38274d8ee00a09ac089", "title" : "Temporary Technology Administrative Specialist", "company" : "Bluestone Physician Services", "industry" : "Healthcare", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minnesota, United States", "locations" : [ "Minnesota", "United States" ], "timestamp" : "2026-06-16T08:47:46.773", "fingerprint" : "7a73d221cc10f2f2d10da3acda09961dce9da87658fb667d2f104c2e451401e1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bluestone/jobs/4278659009", "externalId" : "4278659009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stillwater", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.0559126,-92.8075720" } ], "locationText" : "Stillwater, Minnesota, United States", "employmentType" : "TEMPORARY", "minimumEducation" : "High School", "softSkillsList" : [ "Patience" ], "softSkills" : [ { "name" : "Patience" } ], "majorSkills" : "Customer Service, Patient Portal Navigation, Troubleshooting", "majorSkillsList" : [ "Customer Service", "Patient Portal Navigation", "Troubleshooting" ], "coreResponsibilities" : "Answer incoming calls from patients, family members, and, Provide warm, patient, and clear guidance to assist, Walk users through routine account troubleshooting, De-escalate technology-related frustration with empathy and excellent customer, Handle basic administrative IT support tasks between phone", "domainKnowledge" : "Healthcare tools", "domainList" : [ "healthcare-tools" ], "domainSpecificKnowledge" : [ "Healthcare tools" ], "communicationSkills" : "Clear guidance; Explain digital steps", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "High School Diploma required, 2-5 years administrative experience, Reliable and Punctual, Demonstrated ability to read, write, speak, and understand the English language", "qualificationsPreferred" : "Prior experience in retail, call centers, hospitality, or front-desk administration", "workSiteFlexibility" : "Flexible", "rawDescription" : "Bluestone delivers great outcomes by bringing exceptional care to patients living with complex, chronic conditions and disabilities. Our unique, robust model of care goes beyond primary care services — our multidisciplinary care teams collaborate with patients, their families and other healthcare providers to deliver care that is preventative, proactive and tailored to their unique needs. Using an evidence-based approach focused on quality care management and data-driven medical decisions, Bluestone care teams collaborate to manage patients’ chronic conditions, address social determinants of health, manage transitions to and from inpatient settings, provide behavioral health support and more. Under our model of care, Bluestone patients experienced 21% fewer ER visits, 36% fewer hospitalizations and 41% fewer hospital readmissions compared to patients with similar conditions and complexities over the same time period. Our care teams travel directly to patients who reside in Assisted Living, Memory Care and Group Home communities throughout Minnesota, Wisconsin and Florida and are supported by clinical operations and administrative colleagues who work remotely or at our corporate offices in Stillwater, Minnesota, and Tampa, Florida. Our success is only possible through the hard work of our employees who bring our core values of Dedication, Excellence, Collaboration and Caring to life every day. Bluestone has been named to the Star Tribune's Top Workplace list for the 13th year in a row! Bluestone also achieved Top Workplace USA 2021-2025! In 2022, Bluestone Accountable Care Organization (ACO) was the best performing ACO in the country as measured by the overall savings per Medicare beneficiary. Position Overview: Are you a patient, clear communicator who loves helping people? We are seeking a Temporary Technology Administrative Specialist to join our team for a 12-week assignment. In this role, you will be the friendly voice on the other end of the line for our Bridge/Patient Portal Help Desk. This is a customer service-first position—you do not need a background in IT to excel here! If you are comfortable using a computer, possess great empathy, and enjoy solving problems for others, we will teach you the rest. Type of Position: Temporary Start Date: July 6th, 2026 Duration: 12 Weeks (Mid-September/Beginning October end date) Pay: $20 - $22 per hour. Benefits: None for this temporary role Hours: 32 hours per week (Monday thru Friday Schedule: Monday – Thursday: 9:00 AM – 4:00 PM Friday: 9:00 AM – 3:00 PM Work Location & Flexibility (Hybrid to Remote): Training Phase - Initial onboarding and training will take place on-site. The ideal candidate must live within a comfortable, commutable distance to downtown Stillwater, MN. Post-Training - Once you are fully trained and comfortable with the systems (typically within the first week or two), this position transitions to 100% remote work for the remainder of the 12-week contract. Responsibilities: Patient Portal Help Desk (Primary Focus): Answer incoming calls from patients, family members, and community partners regarding our digital patient portal. Provide warm, patient, and clear guidance to assist users with system access and general platform navigation. Walk users through routine account troubleshooting, such as password resets and user validation/identity verification. De-escalate technology-related frustration with empathy and excellent customer service. Administrative Support: Handle basic administrative IT support tasks between phone calls. Note: These tasks are strictly administrative and do not require extensive technical IT knowledge or coding/hardware experience. Qualifications: Education/Certification/Experience High School Diploma required, this temporary position could be a good fit for a current college student or recent graduate Minimum of 2-5 years of administrative experience Knowledge/Skills/Abilities Customer Service Skills: Prior experience in retail, call centers, hospitality, or front-desk administration is highly valued. Excellent Communication Skills: Ability to explain digital steps to individuals who may not be comfortable with technology. Tech-Comfortable: While you don't need to be an IT expert, you should be comfortable navigating standard web browsers, software applications, and typing while speaking on the phone. Reliable and Punctual: Ability to commit to the full 12-week schedule and the specific daily hours required. Empathy & Patience: A genuine desire to help patients and families navigate their healthcare tools. Demonstrated compatibility with Bluestone’s purpose, core focus, and core values Demonstrated ability to read, write, speak, and understand the English language Pay Transparency $20—$22 USD", "summaryDescription" : "Temporary Technology Administrative Specialist at Bluestone Physician Services. Skills: Customer Service, Patient Portal Navigation, Troubleshooting. Answer incoming calls from patients, family members, and. Provide warm, patient, and clear guidance to assist", "postedDate" : "2026-06-14T19:14:38.843", "createdAt" : "2026-06-14T19:14:38.843", "lastUpdated" : "2026-06-16T08:47:46.773", "ingestTimestamp" : "2026-06-14T19:14:38.843", "mongoId" : "6a2ca38274d8ee00a09ac089", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Patience", "Customer Service", "Patient Portal Navigation", "Troubleshooting", "Healthcare tools" ], "skillCount" : 5, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 450.64896, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc509f", "title" : "Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Operations Analyst in Subang Jaya, Malaysia, adjusted for the Market Research industry and company size." }, "location" : "Subang Jaya, 10, MY", "locations" : [ "Subang Jaya", "10", "MY" ], "timestamp" : "2026-06-16T09:10:09.547", "fingerprint" : "6b44f30d0fcac08be402c29b8a072fa71363fc5f7aae8629e57506254cb1e739", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132109744-data-operations-analyst", "externalId" : "744000132109744", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Subang Jaya", "state" : "10", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0514870,101.5823339" } ], "locationText" : "Subang Jaya, 10, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Science/ Computer Science/ Business Information Systems or IT equivalent", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, ETL, Data Warehousing, Data Modeling, BI Tools, Cloud Data Platforms", "professionalSkills" : [ "Data Operations", "Data Analysis", "Problem Solving" ], "hardSkillsList" : [ "Data manipulation", "Data quality", "Data governance" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "majorSkills" : "Data Operations, SQL, ETL", "majorSkillsList" : [ "Data Operations", "SQL", "ETL" ], "coreResponsibilities" : "Manage and maintain data pipelines, Ensure data quality and integrity, Develop and implement ETL processes, Support data warehousing initiatives, Perform data modeling tasks, Collaborate with stakeholders on data requirements, Troubleshoot data-related issues, Monitor data systems performance", "teamCollaboration" : "Cross-functional teams; Data Engineering; Analytics teams", "domainKnowledge" : "Data Warehousing; ETL Processes; Data Governance; Data Quality", "domainList" : [ "data-warehousing", "etl-processes", "data-governance", "data-quality" ], "domainSpecificKnowledge" : [ "Data Warehousing", "ETL Processes", "Data Governance", "Data Quality" ], "toolProficiency" : [ "BI Tools", "Cloud Data Platforms" ], "problemSolvingSkills" : "Troubleshoot data issues; Root cause analysis", "outcomesObjectives" : "Ensure reliable data delivery; Improve data accuracy; Support business intelligence needs", "qualificationsBasic" : "5+ years of experience in data operations or related field, Proficiency in SQL, Experience with data warehousing concepts, Experience with ETL processes, Experience with data modeling", "qualificationsPreferred" : "Experience with Python for data manipulation, Experience with BI tools, Experience with cloud data platforms, Experience with data governance principles, Experience with data quality frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. About the job * Acts as point-of contact for Input Operations processes * Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables * Act as the SPOC for all the queries/data investigations and managing the internal stakeholders on the assigned queries Responsibilities * 1st function IV - Input Validation level, Production flow, what kind of validation, overall flow of the production, how functions coordinate each other * Database management system - understanding; can see a broader picture of the function * Get data from different sources, data handling, data evaluation, data analytics * Data Production process, reports * what kind of output that needs to be impacted from the input approach * 60%/ 70% system knowledge; 40%/ 30% analytics * Focus on IV - should see a broader level, what can foresee/ view on data * In-house system/ execution system * Project implementation, research - getting input from RMS or different sources, data validatio ## Qualifications * Bachelor of Science/ Computer Science/ Business Information Systems or IT equivalent * Excellent organization skills, aptitude to work in team and meet deadlines * A high degree of accuracy, proactivity and attention to detail * Good analytics skills and aptitude for data and operational processes * Project management aptitude (critical path, task sequencing, problem solving, etc.) * Common business language knowledge (English): speaking and writing with fluency ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Operations Analyst at NielsenIQ. Skills: Data Operations, SQL, ETL. Manage and maintain data pipelines. Ensure data quality and integrity", "postedDate" : "2026-06-15T04:08:07.000", "createdAt" : "2026-06-15T23:51:11.222", "lastUpdated" : "2026-06-16T09:10:09.547", "ingestTimestamp" : "2026-06-15T23:51:11.222", "mongoId" : "6a3068adf292fd229cfc509f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Data quality", "Data governance", "Data Operations", "SQL", "ETL", "Data Analysis", "Problem Solving", "Data Warehousing", "ETL Processes", "Data Governance", "Data Quality", "BI Tools", "Cloud Data Platforms" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 450.5737, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055f3f292fd229cf23540", "title" : "Finance Operations Specialist", "company" : "Sparta", "industry" : "Group", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Finance Operations Specialist in Geneva, Switzerland, adjusted for the technology industry and company size." }, "location" : "Geneva", "locations" : [ "Geneva" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T14:05:24.614", "fingerprint" : "c5fb498df5265b3381fbfb2b6770d5f2f7ee710eda9cb2877855256922081ee8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sparta-commodities/e8ad8bf0-8ce9-4c6e-8e8a-9fe59c98c6e8/application", "externalId" : "e8ad8bf0-8ce9-4c6e-8e8a-9fe59c98c6e8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Switzerland", "employmentType" : "FULL_TIME", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "remoteFriendly" : false, "rawDescription" : "We Are Sparta Sparta is the next-generation commodity trading platform. We give trading desks the clarity, control, and collaboration they need to move faster and trade smarter. In February 2025, we secured $42 million in Series B funding. Now we’re scaling up across the business, and it’s an exciting time to join. Our people are the driving force behind everything we do. At Sparta, you’ll be trusted to take ownership, backed by a team who wants you to succeed. You’ll be challenged, supported, and given room to grow. Because building something this ambitious takes everyone at their best. At Sparta, your work has reach. From improving our platform, to powering smarter decisions for our customers, to changing how commodity trading is done around the world. And because we’re growing fast, you won’t just build your career. You’ll accelerate it, with a level of ownership and impact you simply don’t get at bigger, more bureaucratic companies. About the Role The onboarding experience of a new Sparta colleague is shaped long before they sit down at their desk. Does their equity grant show up cleanly? Does their first payslip land correctly? Does booking travel feel smooth rather than stressful? Across six countries and dozens of monthly edge cases, somebody makes all of that feel effortless. That somebody is you. This role exists because three workflows — payroll, equity, and travel — touch the same people, the same data, and the same trust. Holding them together, inside Finance, is how Sparta ensures the back-office of working here just works. You report to the Head of Accounting, work closely with the Senior Accountant and the wider Finance team, and partner with local payroll providers across Switzerland, the UK, Spain, Singapore, the UAE, and the US. What You Will Own - Payroll — the monthly promise. Every cycle, you coordinate with local payroll providers across six jurisdictions to ensure every employee gets paid the right amount, in the right currency, on the right day. You translate compensation changes from People into provider instructions, control the output against those instructions before approval, and forecast monthly payroll cash needs for treasury planning. You maintain employee profiles across Finance systems so that the correct information flows from input to reporting. When an employee has a question about their payslip you answer with warmth, accuracy, and speed. The Head of Accounting reviews the payroll register and approves the bank file; you are the operational driver behind that workflow. - Equity — the long-term part of the deal. Sparta’s option plan is part of why people are excited to be here. You keep the equity management platform clean and current and reconcile it to the cap table and the ERP alongside the Senior Accountant. You partner with Legal on document execution and with Finance on the accounting entries. When an employee asks what a grant actually means for them, they get a clear, calm answer — because you understand both the mechanics and the documents. - Travel & Expenses — frictionless, or it is not working. You own the travel platform end to end and you make booking simple and claiming simpler. You handle employee expense questions, partner with Finance on reimbursement timing, aid with corporate card administration and flag policy drift before it becomes a controls problem. - Data, Reporting & Continuous Improvement. You produce the monthly payroll, headcount, and T&E reports that tell Finance and leadership what is happening, presenting the picture cleanly, with anomalies and trends called out rather than buried. You also support onboarding and offboarding from the Finance side so that new joiners hit the ground running and leavers are closed cleanly across all systems. - AI & Ways of Working. Sparta treats AI as a serious working tool, not a novelty. The volume and variety of this role make it the perfect place to push that mindset. You use AI actively and you bring a “what can we automate next?” instinct to recurring workflows. The wider Finance team is doing the same; you will have peers to compare notes with and will be expected to share what works. Who You Will Work With Daily with the Head of Accounting and the Senior Accountant. Regularly with local payroll providers across six countries, the People team on hires and leavers, and Legal on equity documents. And — at one moment or another — with every Sparta employee, about a payslip, a system question, or a vesting event that matters to them. What We Are Looking For - Two to four years in payroll administration, finance operations, or an HR/Finance coordinator role — ideally with multi-country exposure. You know the difference between a payroll that runs and a payroll that runs well. You write clearly and warmly, whether answering a new joiner’s first payslip question or summarising a discrepancy for senior stakeholders. You are organised in the way this role demands. - You are comfortable pulling data from multiple systems, spotting what does not fit, and presenting the picture cleanly. - Fluent in English; French or Spanish is a real plus for continental providers and colleagues. Experience with ERP systems, payroll platforms, travel management tools, and equity administration software. - And you already reach for AI when a task feels repetitive, and want a team that lets you keep building that muscle. What We Offer - A high-ownership role at the intersection of Finance and employee experience, in a fast-scaling commodities data and technology company. - Direct exposure to multi-jurisdictional operations across six countries. - A close-knit, senior Finance team where what you do is visible. - And the chance to shape how Sparta’s employees experience the back-office of their working life. Sparta Commodities is proud to be an equal opportunity employer and promotes diversity within its workforce. We are determined that no-one will ever receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any basis covered by appropriate law.", "summaryDescription" : "Finance Operations Specialist at Sparta", "createdAt" : "2026-06-16T00:27:46.792", "lastUpdated" : "2026-06-16T14:05:24.614", "ingestTimestamp" : "2026-06-16T00:27:46.792", "mongoId" : "6a3055f3f292fd229cf23540", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 38, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 450.45212, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059a3f292fd229cf498b2", "title" : "Patient Recruitment Specialist - Clinical Research", "industry" : "Healthcare", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Patient Recruitment Specialist in Birmingham, United States, adjusted for the Biotech industry." }, "location" : "Birmingham, AL", "locations" : [ "Birmingham, AL" ], "timestamp" : "2026-06-16T08:15:15.916", "fingerprint" : "34fcce239da5adb5df9a0f800a56b5751ce3473dc9d42709df93d17c3eeded90", "source" : "jazzhr", "language" : "en", "externalId" : "9jvLFA52Ac", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.5206824,-86.8024326" } ], "locationText" : "Birmingham, Alabama, United States", "coreResponsibilities" : "Recruit patients for clinical trials, Screen potential participants, Educate patients on study protocols, Obtain informed consent, Maintain patient records, Coordinate patient visits, Liaise with clinical sites", "domainKnowledge" : "Clinical research; Patient recruitment; Informed consent process", "domainList" : [ "clinical-research", "patient-recruitment", "informed-consent-process" ], "domainSpecificKnowledge" : [ "Clinical research", "Patient recruitment", "Informed consent process" ], "communicationSkills" : "Patient education", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Patient Recruitment Specialist - Clinical Research. Recruit patients for clinical trials. Screen potential participants", "createdAt" : "2026-06-15T22:27:41.155", "lastUpdated" : "2026-06-16T08:15:15.916", "ingestTimestamp" : "2026-06-15T22:27:41.155", "mongoId" : "6a3059a3f292fd229cf498b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Clinical research", "Patient recruitment", "Informed consent process" ], "skillCount" : 3, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 450.08148, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2a660274d8ee00a062b750", "title" : "Data Engineering Manager, Specialist Technology Team", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Data Engineering, Cloud Computing", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-14T23:39:53.229", "fingerprint" : "cb84d152f39d95ea48593f109537f1db9e984c8e99b6acc8c4a813ead62980d9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444084/apply", "externalId" : "a5719f4b-0286-4b5d-92d6-b159f7ad3bcb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, Redshift, S3, EC2", "professionalSkills" : [ "Business intelligence", "Data engineering", "Analytics engineering", "System design", "Data strategy" ], "hardSkillsList" : [ "ETL/ELT processes", "Data modeling", "Data architecture", "Measurement frameworks", "Agentic data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ETL/ELT processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "Agentic data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data strategy, Data architecture, Business intelligence, Team management", "majorSkillsList" : [ "Data strategy", "Data architecture", "Business intelligence", "Team management" ], "coreResponsibilities" : "Define and own data strategy and architecture, Partner with Product Teams and senior leaders, Establish measurement frameworks, Quantify product efficacy and business impact, Lead evolution from static dashboards, Build, manage, and develop team, Maintain high hiring bar, Foster culture of operational excellence, Partner with product management, engineering, and field leadership, Ensure data infrastructure meets stakeholder needs, Drive integration strategies, Embed analytics into workflows, Represent data function in executive reviews, Articulate strategy, results, and trade-offs, Make architectural trade-offs, Balance speed-to-insight with data quality", "teamCollaboration" : "Partner with Product Teams; Partner with product management; Partner with engineering; Partner with field leadership; Executive reviews", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "AI-powered systems; Generative AI; Agentic technologies", "domainList" : [ "ai-powered-systems", "generative-ai", "agentic-technologies" ], "domainSpecificKnowledge" : [ "AI-powered systems", "Generative AI", "Agentic technologies" ], "toolProficiency" : [ "AWS", "Redshift", "S3", "EC2" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Generative AI; Agentic technologies", "problemSolvingSkills" : "Data-driven decisions", "outcomesObjectives" : "Accelerate customer success; Drive frictionless AWS adoption; Enable field teams to deliver high-quality engagements", "qualificationsBasic" : "4+ years data structures for BI analytics, 2+ years relational database technology, Experience managing a data or BI team, Experience leading data or BI strategy, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools and Technologies, Knowledge of software development life cycle, Experience building data infrastructure supporting AI/ML pipelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers—delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries. Our portfolio spans AI-powered specialist knowledge systems, hands-on engagement platforms (e.g., Workshop Studio), content quality and recommendation engines, and go-to-market orchestration tools—collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity that require a sophisticated data strategy to capture, model, and translate into actionable insight. We are seeking a Data Engineering Manager to build and lead the data engineering and business intelligence function for STT. You will own the centralized data infrastructure that measures the efficacy and impact of our entire product portfolio, and you will drive the evolution from static reporting into an ecosystem of intelligent, agent-powered data experiences that enable stakeholders to intuitively access and consume data within their day-to-day workflows. This is a foundational leadership role with direct visibility to senior leaders across AWS's sales organization. The insights and data your team generates inform high-impact decisions about where to invest, how to measure organizational effectiveness, and how to demonstrate the value our products deliver at scale. You will manage a team of Business Intelligence Engineers and Data Engineers, owning the full end-to-end data strategy—from foundational infrastructure and pipeline engineering through to analytics, measurement, and insight delivery. You are not just building data assets; you are ensuring the right questions get answered and the right data reaches the right decision-makers at the right time to move the needle on large business outcomes. Key job responsibilities - Define and own the data strategy and centralized architecture for the organization—connecting product telemetry, usage metrics, and business outcomes into a coherent, scalable data ecosystem - Partner with Product Teams and senior leaders to establish measurement frameworks that quantify product efficacy and business impact, enabling data-driven investment decisions across the portfolio - Lead the evolution from static dashboards toward agentic data systems that allow AI to surface insights within existing field team workflows - Build, manage, and develop a high-performing team of Business Intelligence Engineers and Data Engineers, maintaining a high hiring bar and fostering a culture of operational excellence - Partner with product management, engineering, and field leadership to ensure data infrastructure meets stakeholder needs and answers the right business questions - Drive integration strategies that embed analytics into day-to-day workflows, reducing friction between data and decision-making - Represent the data function in executive reviews with Directors and VPs, articulating strategy, results, and trade-offs - Make architectural trade-offs between short-term delivery and long-term scalability, balancing speed-to-insight with data quality and governance About the team You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to define a function from the ground up and shape how an entire organization consumes and acts on data. Basic Qualifications: - 4+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Knowledge of software development life cycle or agile development environment with emphasis on BI practices - Experience and demonstrated industry leadership in the fields of database or data warehousing, data sciences and big data processing - Experience building data infrastructure supporting AI/ML pipelines or agentic systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 187,000.00 - 253,000.00 USD annually USA, TX, Austin - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Specialist Technology Team at Amazon Web Services, Inc.. Skills: Data strategy, Data architecture, Business intelligence, Team management. Define and own data strategy and architecture. Partner with Product Teams and senior leaders", "postedDate" : "2026-06-13T05:12:13.993", "createdAt" : "2026-06-13T05:12:13.993", "lastUpdated" : "2026-06-14T23:39:53.229", "ingestTimestamp" : "2026-06-13T05:12:13.993", "mongoId" : "6a2a660274d8ee00a062b750", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444084/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ETL/ELT processes", "Data modeling", "Data architecture", "Measurement frameworks", "Agentic data systems", "Leadership", "Data strategy", "Business intelligence", "Team management", "Data engineering", "Analytics engineering", "System design", "Agile development", "AI-powered systems", "Generative AI", "Agentic technologies", "AWS", "Redshift", "S3", "EC2" ], "skillCount" : 20, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 449.67984, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 86776, "totalPages" : 1736, "hasNext" : true, "hasPrevious" : false } }

Data Technology Research Operations Specialist Jobs in San Francisco

Research Operations Specialist

HR Operations Specialist

Director of People Technology, Data & Operations

Clinical Technology Specialist

Clinical Technology Specialist

Clinical Data Specialist

Senior Software Engineer, Operations Research, Google Research

GRC Specialist, Automation & Technology

Senior Staff Research Data Scientist, AI Data

Operations Specialist

Contingent Research Data Analyst, HEOR

Contingent Research Data Analyst, HEOR

Assistive Technology Specialist

Operations Specialist

Director, Marketing Technology & Operations

Research Associate/Senior Research Associate

Instructional Technology Specialist

Director of Data - Logistics & Fulfilment

Instructional Technology Specialist

Research Engineer - Data Infrastructure

Research Associate I, Research Lab Operations

Senior Specialist, Marketing Operations

Data Delivery Specialist

Research Intern

Senior Staff Research Data Scientist, DevIE

Renewables Data Researcher Intern

Data Operations Analyst

Research Analyst

People Operations Specialist

Data Operations Analyst

Product Data Specialist

Research Analyst

Research Analyst

C++ Operations Research Developer

Account Operations Specialist

Grants Technology & Data Analyst

Survey Technology Process Specialist

Staff Research Scientist, AI2 Research

Research Pharmacy Technician

Data Annotation Specialist

Operations Manager, Data Center Operations

Data Entry Specialist

Temporary Research Aide

Account Operations Specialist

Data Operations Analyst

Temporary Technology Administrative Specialist

Data Operations Analyst

Finance Operations Specialist

Patient Recruitment Specialist - Clinical Research

Data Engineering Manager, Specialist Technology Team

Common Questions