{ "count" : 66653, "data" : [ { "id" : "6a305a74f292fd229cf51539", "title" : "E-commerce Operations", "company" : "Reolink", "industry" : "E-Commerce", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior E-commerce Operations role in Kuala Lumpur, Malaysia, adjusted for industry and company size." }, "location" : "BO1-C-8， Boutique Office 2, Menara 2, KL Eco City, No.3, Jalan Bangsar , KL 59200 W.P.", "locations" : [ "BO1-C-8， Boutique Office 2", "Menara 2", "KL Eco City", "No.3", "Jalan Bangsar", "KL 59200 W.P." ], "timestamp" : "2026-06-16T07:41:02.311", "fingerprint" : "c329373c4666cb87addb3dfc30e479298df4f990ccd7d7295f07ef2bac40a7e7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4115513009", "externalId" : "4115513009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "professionalSkills" : [ "Sales expansion", "Market acumen", "Marketing strategy" ], "hardSkillsList" : [ "Product upload rules", "Transaction workflows", "Sales expansion tactics", "Cross-border e-commerce", "Traffic driving", "Sales data analysis" ], "hardSkills" : [ { "name" : "Product upload rules", "level" : "intermediate" }, { "name" : "Transaction workflows", "level" : "intermediate" }, { "name" : "Sales expansion tactics", "level" : "intermediate" }, { "name" : "Cross-border e-commerce", "level" : "intermediate" }, { "name" : "Traffic driving", "level" : "intermediate" }, { "name" : "Sales data analysis", "level" : "intermediate" } ], "majorSkills" : "E-commerce operations, Amazon Lazada Shopee, Sales expansion", "majorSkillsList" : [ "E-commerce operations", "Amazon Lazada Shopee", "Sales expansion" ], "coreResponsibilities" : "Manage Amazon Lazada and Shopee storefronts, Maintain Amazon Lazada and Shopee storefronts, Upload products, Edit English descriptions, Edit English categorizations, Develop marketing plans, Publish products globally, Optimize Amazon stores, Optimize Amazon products, Utilize marketing tools, Utilize sales techniques, Enhance exposure, Increase conversion rates, Process customer orders, Track order progress, Ensure timely fulfillment, Analyze sales data, Adjust strategies, Propose optimizations, Maintain store policies, Maintain store guidelines, Uphold positive ratings, Uphold reputation", "domainKnowledge" : "Cross-border e-commerce B2C; Amazon; Lazada; Shopee", "domainList" : [ "cross-border-e-commerce-b2c", "amazon", "lazada", "shopee" ], "domainSpecificKnowledge" : [ "Cross-border e-commerce B2C", "Amazon", "Lazada", "Shopee" ], "toolProficiency" : [ "Amazon", "Lazada", "Shopee" ], "communicationSkills" : "English descriptions", "problemSolvingSkills" : "Resolve disputes", "outcomesObjectives" : "Enhance exposure; Increase conversion rates; Ensure timely fulfillment; Uphold positive ratings; Uphold reputation", "qualificationsBasic" : "Bachelor’s degree or higher, Minimum 2 year of Amazon Lazada and Shopee sales, Proficient in product upload rules, Proficient in transaction workflows, Proficient in sales expansion tactics, Thorough understanding of Amazon Lazada and Shopee, Ability to resolve disputes, Ability to safeguard company interests, Expertise in cross-border e-commerce B2C, Skilled in driving traffic within Amazon, Market acumen capabilities, Marketing strategy capabilities", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Qualifications: 1.Bachelor’s degree or higher. 2.Minimum 2 year of Amazon Lazada and Shopee sales experience; proficient in product upload rules, transaction workflows, and sales expansion tactics. 3.Thorough understanding of Amazon Lazada and Shopee policies; ability to resolve disputes and safeguard company interests. 4.Expertise in cross-border e-commerce B2C operations; skilled in driving traffic within Amazon, with strong market acumen and marketing strategy capabilities. Job Responsibilities: 1.Responsible for managing and maintaining Amazon Lazada and Shopee storefronts. 2.Upload products, edit English descriptions/categorizations, develop marketing plans, and publish products across global sites. 3.Optimize Amazon stores and product listings; utilize marketing tools and sales techniques to enhance exposure and increase conversion rates. 4.Process customer orders, track order progress, and ensure timely fulfillment. 5.Analyze sales data regularly; adjust strategies and propose optimizations based on performance metrics. 6.Maintain store policies and guidelines to uphold positive ratings and reputation. Annual Leave Medical and Hospitalisation Leave N/A", "summaryDescription" : "E-commerce Operations at Reolink. Skills: E-commerce operations, Amazon Lazada Shopee, Sales expansion. Manage Amazon Lazada and Shopee storefronts. Maintain Amazon Lazada and Shopee storefronts", "postedDate" : "2026-06-15T23:23:16.299", "createdAt" : "2026-06-15T23:23:16.299", "lastUpdated" : "2026-06-16T07:41:02.311", "ingestTimestamp" : "2026-06-15T23:23:16.299", "mongoId" : "6a305a74f292fd229cf51539", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Product upload rules", "Transaction workflows", "Sales expansion tactics", "Cross-border e-commerce", "Traffic driving", "Sales data analysis", "E-commerce operations", "Amazon Lazada Shopee", "Sales expansion", "Market acumen", "Marketing strategy", "Cross-border e-commerce B2C", "Amazon", "Lazada", "Shopee" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 512.97546, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d632e74d8ee00a0baeba2", "title" : "Data Operations Analyst Intern", "company" : "Instawork", "industry" : "Technology", "salary" : { "min" : 18000.0, "max" : 28000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Data Operations Analyst Intern in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T04:28:03.478", "fingerprint" : "42e73a87ecf812b0ba063c5531b07984fc8ecd3c82360680b31999d84efc059e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/instawork/jobs/4689262006", "externalId" : "4689262006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, Google Sheets, Power Query, SQL", "professionalSkills" : [ "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data validation", "Data organization", "Route optimization", "Spatial analysis" ], "hardSkillsList" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization" ], "hardSkills" : [ { "name" : "VLOOKUP", "level" : "intermediate" }, { "name" : "XLOOKUP", "level" : "intermediate" }, { "name" : "INDEX-MATCH", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Conditional formatting", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Named ranges", "level" : "intermediate" }, { "name" : "SUMIFS", "level" : "intermediate" }, { "name" : "COUNTIFS", "level" : "intermediate" }, { "name" : "IF logic", "level" : "intermediate" }, { "name" : "Date logic", "level" : "intermediate" }, { "name" : "Sorting", "level" : "intermediate" }, { "name" : "Filtering", "level" : "intermediate" }, { "name" : "Deduplication", "level" : "intermediate" }, { "name" : "Address standardization", "level" : "intermediate" }, { "name" : "Zone standardization", "level" : "intermediate" } ], "majorSkills" : "Excel, Data analysis, Route planning", "majorSkillsList" : [ "Excel", "Data analysis", "Route planning" ], "coreResponsibilities" : "Build Excel workbooks for route planning, Maintain Excel workbooks for territory coverage, Maintain Excel workbooks for visit schedules, Clean location data, Validate location data, Organize location data, Clean operational data, Validate operational data, Organize operational data, Create route maps, Create territory layouts, Support route optimization, Group stops by geography, Group stops by time windows, Group stops by FO capacity, Produce weekly planning sheets, Produce daily planning sheets, Track coverage gaps, Flag issues to FO lead, Maintain documentation of assumptions, Maintain documentation of data sources, Maintain documentation of version history, Incorporate feedback from FOs, Incorporate feedback from managers, Update planning files, Fix errors flagged by FOs, Refresh route maps, Refresh territory plans, Submit summary of changes, Submit open gaps", "teamCollaboration" : "Field Operations team; FOs and managers", "domainKnowledge" : "Market operations; Worker coverage; Visit schedules; Logistics; Field sales; Delivery routing; Operations planning; US/Canada metro markets; Multi-city territory design", "domainList" : [ "market-operations", "worker-coverage", "visit-schedules", "logistics", "field-sales", "delivery-routing", "operations-planning", "us-canada-metro-markets", "multi-city-territory-design" ], "domainSpecificKnowledge" : [ "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design" ], "toolProficiency" : [ "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "communicationSkills" : "Explain route building; Explain territory building", "documentationSkills" : "Maintain documentation", "problemSolvingSkills" : "Route optimization; Troubleshooting coverage gaps", "outcomesObjectives" : "Plans must be accurate; Plans must be reproducible; Plans must be easy to follow", "qualificationsBasic" : "Microsoft Excel Intermediate-advanced, Data hygiene skills, Spatial / route thinking, Attention to detail, Clear communication, Reliability", "qualificationsPreferred" : "Google Sheets or Excel Power Query experience, Mapping tools familiarity, Basic SQL or comfort exporting from dashboards/CSVs, Prior work in logistics, field sales, delivery routing, or operations planning, Understanding of US/Canada metro markets or multi-city territory design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About the Role We are looking for detail-oriented Operations Data Analyst Interns to support Instawork's Field Operations (FO) team. You will work with operational data-markets, territories, business locations, worker coverage, and visit schedules-to build and maintain route maps and planning spreadsheets that help FOs run efficiently in the field. This is a fully remote internship with clear deliverables, performance incentives, and regular feedback. If you enjoy working with data in Excel, have strong attention to detail, and want hands-on exposure to operations at a fast-growing marketplace-this role is for you. Key Responsibilities Build and maintain Excel workbooks for FO route planning, territory coverage, and visit schedules. Clean, validate, and organize location and operational data (addresses, zones, markets, visit frequency, priorities). Create route maps and territory layouts using Excel (tables, pivots, conditional formatting) and/or mapping tools (e.g., Google Maps) as directed. Support route optimization by grouping stops by geography, time windows, and FO capacity. Produce weekly and daily planning sheets for FOs: who visits where, in what order, and with what targets. Track coverage gaps (uncovered businesses, overdue visits, imbalanced territories) and flag issues to the FO lead. Maintain documentation of assumptions, data sources, and version history for planning files. Incorporate feedback from FOs and managers to improve accuracy and usability of plans. Required Skills (Must-Have) Microsoft Excel: Intermediate-advanced: VLOOKUP/XLOOKUP, INDEX-MATCH, pivot tables, conditional formatting, data validation, named ranges, SUMIFS, COUNTIFS, IF, date logic. Data hygiene: Sorting/filtering large datasets, deduplication, standardizing addresses/zones, spotting inconsistencies. Spatial / route thinking: Grouping locations by proximity, zones, or drive time; basic understanding of territories and visit sequencing. Attention to detail: Accurate data entry, cross-checking outputs, catching errors before plans go to the field. Communication: Clear notes in spreadsheets; ability to explain how a route or territory was built. Reliability: Meet deadlines; follow templates and SOPs; respond to revision requests quickly. Nice-to-Have Experience with Google Sheets or Excel Power Query for imports and refreshes. Familiarity with mapping tools (Google My Maps, QGIS, or route APIs). Basic SQL or comfort exporting from dashboards/CSVs into Excel. Prior work in logistics, field sales, delivery routing, or operations planning. Understanding of US/Canada metro markets or multi-city territory design. Sample Deliverables Territory assignment sheet: businesses to FO to zone to visit cadence. Weekly route plan: ordered stop list per FO with estimated time/distance notes. Coverage dashboard: % of accounts visited, gaps by market, overdue visits. Master location file: validated addresses, geocodes (if available), market tags. Expectations Daily: Update planning files from latest operational data; fix errors flagged by FOs. Weekly: Refresh route maps and territory balances; submit summary of changes and open gaps. Quality bar: Plans must be accurate, reproducible, and easy for a non-analyst FO to follow. Our Values Empathy, Trust RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. But what matters most is our impact. We're solving real problems for real people, and we’re doing it at scale. Join our team to help us build something that matters! We’re looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds. Ready to make an impact? Learn more at www.instawork.com/about. Personnel Privacy Policy", "summaryDescription" : "Data Operations Analyst Intern at Instawork. Skills: Excel, Data analysis, Route planning. Build Excel workbooks for route planning. Maintain Excel workbooks for territory coverage", "postedDate" : "2026-06-14T19:01:49.796", "createdAt" : "2026-06-14T19:01:49.796", "lastUpdated" : "2026-06-16T04:28:03.478", "ingestTimestamp" : "2026-06-14T19:01:49.796", "mongoId" : "6a2d632e74d8ee00a0baeba2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization", "Excel", "Data analysis", "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data organization", "Route optimization", "Spatial analysis", "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design", "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "skillCount" : 38, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 460.84387, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30711df292fd229cff7fa7", "title" : "Senior Operations Manager, E&I", "company" : "FLINT Corp.", "industry" : "Oil And Energy", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Operations Manager in the Energy industry in Sherwood Park, Canada, adjusted for manager-level seniority and full-time employment." }, "location" : "Sherwood Park, AB, Canada", "locations" : [ "Sherwood Park", "AB", "Canada" ], "certifications" : [ "Journeyperson Electrical Trade certification", "Journeyperson Instrumentation Trade certification", "Electrical Engineering degree", "BC FSR certification" ], "timestamp" : "2026-06-16T11:29:03.893", "fingerprint" : "81bfae3c4a6d699c2d0f25127dc01b7c49617a1099ca6d7fad358c0a3a41261c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FLINTCorp1/3743990013624366-senior-operations-manager-e-i", "externalId" : "3743990013624366", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sherwood Park", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "53.5256963,-113.2966310" } ], "locationText" : "Sherwood Park, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Electrical, Instrumentation", "professionalSkills" : [ "Project management", "Cost estimating", "Bid development", "Business development", "Account management", "Operational strategy", "Financial performance analysis", "Performance improvements" ], "hardSkillsList" : [ "Construction management", "Maintenance coordination", "Shutdowns coordination", "Turnaround coordination" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Construction management", "level" : "intermediate" }, { "name" : "Maintenance coordination", "level" : "intermediate" }, { "name" : "Shutdowns coordination", "level" : "intermediate" }, { "name" : "Turnaround coordination", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "E&I Operations, Business Growth, Safety Culture", "majorSkillsList" : [ "E&I Operations", "Business Growth", "Safety Culture" ], "coreResponsibilities" : "Pursue business growth opportunities, Promote FLINT’s Health, Safety, and Environment (HSE) culture, Ensure adherence to policies and programs, Act as a safety role model, Foster a zero-incident culture, Develop and implement local business and operational strategies, Participate in setting annual revenue and profitability targets, Manage budgets, Monitor financial performance, Provide analysis on variances, Manage and provide input on project scope, estimates,, Oversee E&I estimates over two hundred and fifty, Coordinate with district teams on smaller projects, Conduct routine site inspections, Engage in weekly E&I group meetings, Support regional readiness reviews, Work from remote site locations or regional offices", "teamCollaboration" : "Client engagement; Coordination with district teams; Cross-functional teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Energy and industrial markets; Facility construction; Industrial maintenance; Plant shutdowns; Turnarounds; Field construction; Oil & Gas industry; Pipeline contracting", "domainList" : [ "energy-and-industrial-markets", "facility-construction", "industrial-maintenance", "plant-shutdowns", "turnarounds", "field-construction", "oil-gas-industry", "pipeline-contracting" ], "domainSpecificKnowledge" : [ "Energy and industrial markets", "Facility construction", "Industrial maintenance", "Plant shutdowns", "Turnarounds", "Field construction", "Oil & Gas industry", "Pipeline contracting" ], "toolProficiency" : [ "MS Office", "Project management software" ], "communicationSkills" : "Networking; Client meetings; Promotions at events; Trade shows; Business associations", "continuousLearning" : "Opportunity for growth/advancement/development; Opportunity for internal development and growth", "problemSolvingSkills" : "Implement performance improvements", "specialRequirements" : "Travel up to 25%, Safety-sensitive position, Drug and alcohol testing, Background Check, Canadian Criminal Record check, Employment Verification, Education and Accreditation Verification, Profile TRAITS Survey", "outcomesObjectives" : "Ensure safety of operations; Ensure profitability of operations; Fulfill client commitments; Drive future growth in E&I business", "qualificationsBasic" : "5+ years experience in Oil & Gas or industrial/pipeline contracting, Journeyperson Electrical or Instrumentation Trade certification, Electrical Engineering degree, BC FSR certification, Equivalent education in business/project management, Supervisory/managerial level experience, Ability to analyze project and operational financial data, Experience managing multiple projects with over 200 craft personnel, Coordinating with contractors for maintenance, construction, fabrication, shutdowns, and labor supply, Technical expertise in electrical and instrumentation, Proficient in reading RFPs, drawings, Physically capable of job duties, Heavy lifting up to 50 lbs, Climbing and bending", "qualificationsPreferred" : "Experience integrating into small to mid-sized communities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "FLINT is a leading service provider in Canada’s energy and industrial markets offering full asset life cycle support, including construction, maintenance, fabrication, and environmental services. Committed to safety and quality, we foster a workplace culture that values innovation and sustainability. With a strong local presence and top-tier talent, we deliver high-quality services as we help our customers bring their resources to our world. As an Electrical & Instrumentation (E&I) Senior Operations Manager, you will be responsible for ensuring the safety and profitability of operations within your assigned area, focusing on fulfilling client commitments and driving future growth in our E&I business. E&I services include facility construction, demand and long-term industrial maintenance support, plant shutdowns and turnarounds, field construction, and project management. Based in Sherwood Park, Alberta, you will report directly to the Area Manager. What would you be doing? * Pursue business growth opportunities in the assigned area through networking, local community involvement, and active promotion at events, trade shows, and business associations. Support strategic account management through client engagement, including cold calling and meetings. * Lead and promote FLINT’s Health, Safety, and Environment (HSE) culture, ensuring adherence to policies and programs. Act as a safety role model, fostering a zero-incident culture among field supervision. * Develop and implement local business and operational strategies aligned with FLINT’s overall business goals. Participate in setting annual revenue and profitability targets, manage budgets, and monitor financial performance, providing analysis on variances. * Manage and provide input on project scope, estimates, and proposals, particularly Electrical & Instrumentation (E&I) projects. Attending relevant planning meetings, supporting regional reviews, and overseeing E&I estimates over two hundred and fifty thousand, while coordinating with district teams on smaller projects. * Conduct routine site inspections focusing on safety, quality control, and client relationships. Engage in weekly E&I group meetings, support regional readiness reviews, and work from remote site locations or regional offices, with travel up to 25%. Perks of the job * Competitive pay * Health coverage for you and your family * Generous number of vacation days each year * Opportunity for growth/advancement/development * RRSP matching * Opportunity for other work/multiple projects * Opportunity for internal development and growth. ## Qualifications * Journeyperson Electrical or Instrumentation Trade certification, Electrical Engineering degree, BC FSR certification, or equivalent education in business/project management, with 5+ years' experience in Oil & Gas or industrial/pipeline contracting at a supervisory/managerial level. * Ability to analyze project and operational financial data to implement performance improvements. Experience managing multiple projects with over 200 craft personnel and coordinating with contractors for maintenance, construction, fabrication, shutdowns, and labor supply. * Strong technical expertise in electrical and instrumentation, including construction, shutdowns/turnarounds, maintenance, operations coordination, cost estimating, and bid development. Proficient in reading RFPs, drawings, and using MS Office and project management software. * Experience integrating into small to mid-sized communities as an active company representative. Proficient in English (written and verbal) and physically capable of job duties, including heavy lifting (up to 50 lbs.), climbing, and bending. ## Additional Information This position has been identified as a safety-sensitive position and will require completion of drug and alcohol testing. As a condition of employment, qualified applicants who accept the role must complete a satisfactory pre-employment Background Check. This may consist of a combination of a Canadian Criminal Record check, an Employment Verification, and an Education and Accreditation Verification. Candidates shortlisted will be required to complete the Profile TRAITS Survey. The purpose of the TRAITS Survey tool is to assist FLINT in understanding the behaviors of individuals to support the best use of their strengths, abilities, and potential. Our Commitment to Our People When you join FLINT, we make these promises: * Your work will matter. The projects you'll help build will serve communities for generations. * Your growth is our priority. We'll invest in your development and create paths for advancement. * Your voice will be heard. Your experience and ideas will shape how we tackle challenges. * Your team will support you. You'll work with people who want to see you succeed. * Your ambition will be rewarded. As you grow, FLINT grows – and we recognize those who help us build better. Shape Your Future. Strengthen Your Craft. Leave A Legacy. Please [click here](https://clearstreamenergyca.sharepoint.com/:b:/s/ClearStream/ER6M3EKfgUFChzW5scZuvqQBBczvzeYJD6JK2E4yjbqshQ?e=rKjNgY) to view our Recruitment Privacy Notice.", "summaryDescription" : "Senior Operations Manager, E&I at FLINT Corp.. Skills: E&I Operations, Business Growth, Safety Culture. Pursue business growth opportunities. Promote FLINT’s Health, Safety, and Environment (HSE) culture", "postedDate" : "2026-06-15T17:47:23.000", "createdAt" : "2026-06-16T01:36:47.714", "lastUpdated" : "2026-06-16T11:29:03.893", "ingestTimestamp" : "2026-06-16T01:36:47.714", "mongoId" : "6a30711df292fd229cff7fa7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Construction management", "Maintenance coordination", "Shutdowns coordination", "Turnaround coordination", "Leadership", "E&I Operations", "Business Growth", "Safety Culture", "Project management", "Cost estimating", "Bid development", "Business development", "Account management", "Operational strategy", "Financial performance analysis", "Performance improvements", "Energy and industrial markets", "Facility construction", "Industrial maintenance", "Plant shutdowns", "Turnarounds", "Field construction", "Oil & Gas industry", "Pipeline contracting", "Journeyperson Electrical Trade certification", "Journeyperson Instrumentation Trade certification", "Electrical Engineering degree", "BC FSR certification", "MS Office", "Project management software" ], "skillCount" : 30, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 458.45047, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a74f292fd229cf5153b", "title" : "E-commerce Operations（Shopfiy/Website）", "company" : "Reolink", "industry" : "E-Commerce", "salary" : { "min" : 3000.0, "max" : 8000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "BO1-C-8， Boutique Office 2, Menara 2, KL Eco City, No.3, Jalan Bangsar , KL 59200 W.P.", "locations" : [ "BO1-C-8， Boutique Office 2", "Menara 2", "KL Eco City", "No.3", "Jalan Bangsar", "KL 59200 W.P." ], "timestamp" : "2026-06-16T08:33:47.131", "fingerprint" : "0f1b32cfffe42a8e81526e3028885fa8f34fca36b77aa2727d8de1df701bf9b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4221750009", "externalId" : "4221750009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "state" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1395089,101.6937972" } ], "locationText" : "Kuala Lumpur, Kuala Lumpur, Malaysia", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "professionalSkills" : [ "Sales expansion", "Market acumen", "Marketing strategy" ], "hardSkillsList" : [ "Product upload rules", "Transaction workflows", "Sales expansion tactics", "Cross-border e-commerce", "Traffic driving", "Sales data analysis", "Marketing plan development" ], "hardSkills" : [ { "name" : "Product upload rules", "level" : "intermediate" }, { "name" : "Transaction workflows", "level" : "intermediate" }, { "name" : "Sales expansion tactics", "level" : "intermediate" }, { "name" : "Cross-border e-commerce", "level" : "intermediate" }, { "name" : "Traffic driving", "level" : "intermediate" }, { "name" : "Sales data analysis", "level" : "intermediate" }, { "name" : "Marketing plan development", "level" : "intermediate" } ], "majorSkills" : "E-commerce operations, Amazon Lazada Shopee, Sales expansion", "majorSkillsList" : [ "E-commerce operations", "Amazon Lazada Shopee", "Sales expansion" ], "coreResponsibilities" : "Manage Amazon Lazada and Shopee storefronts, Maintain Amazon Lazada and Shopee storefronts, Upload products, Edit English descriptions, Edit categorizations, Develop marketing plans, Publish products globally, Optimize Amazon stores, Optimize products, Utilize marketing tools, Utilize sales techniques, Enhance exposure, Increase conversion rates, Process customer orders, Track order progress, Ensure timely fulfillment, Analyze sales data, Adjust strategies, Propose optimizations, Maintain store policies, Maintain store guidelines, Uphold positive ratings, Uphold reputation", "domainKnowledge" : "Cross-border e-commerce B2C; Amazon; Lazada; Shopee", "domainList" : [ "cross-border-e-commerce-b2c", "amazon", "lazada", "shopee" ], "domainSpecificKnowledge" : [ "Cross-border e-commerce B2C", "Amazon", "Lazada", "Shopee" ], "toolProficiency" : [ "Amazon", "Lazada", "Shopee" ], "communicationSkills" : "English descriptions", "problemSolvingSkills" : "Resolve disputes", "outcomesObjectives" : "Enhance exposure; Increase conversion rates; Ensure timely fulfillment; Uphold positive ratings; Uphold reputation", "qualificationsBasic" : "Bachelor's degree or higher, Minimum 2 year of Amazon Lazada and Shopee sales, Proficient in product upload rules, Proficient in transaction workflows, Proficient in sales expansion tactics, Thorough understanding of Amazon Lazada and Shopee, Ability to resolve disputes, Ability to safeguard company interests, Expertise in cross-border e-commerce B2C, Skilled in driving traffic within Amazon, Market acumen, Marketing strategy capabilities", "workSiteFlexibility" : "Onsite", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Qualifications: 1.Bachelor’s degree or higher. 2.Minimum 2 year of Amazon Lazada and Shopee sales experience; proficient in product upload rules, transaction workflows, and sales expansion tactics. 3.Thorough understanding of Amazon Lazada and Shopee policies; ability to resolve disputes and safeguard company interests. 4.Expertise in cross-border e-commerce B2C operations; skilled in driving traffic within Amazon, with strong market acumen and marketing strategy capabilities. Job Responsibilities: 1.Responsible for managing and maintaining Amazon Lazada and Shopee storefronts. 2.Upload products, edit English descriptions/categorizations, develop marketing plans, and publish products across global sites. 3.Optimize Amazon stores and product listings; utilize marketing tools and sales techniques to enhance exposure and increase conversion rates. 4.Process customer orders, track order progress, and ensure timely fulfillment. 5.Analyze sales data regularly; adjust strategies and propose optimizations based on performance metrics. 6.Maintain store policies and guidelines to uphold positive ratings and reputation. Annual Leave Medical and Hospitalisation Leave N/A Pay Range $3,000—$8,000 USD", "summaryDescription" : "E-commerce Operations（Shopfiy/Website） at Reolink. Skills: E-commerce operations, Amazon Lazada Shopee, Sales expansion. Manage Amazon Lazada and Shopee storefronts. Maintain Amazon Lazada and Shopee storefronts", "postedDate" : "2026-06-15T23:23:38.645", "createdAt" : "2026-06-15T23:23:38.645", "lastUpdated" : "2026-06-16T08:33:47.131", "ingestTimestamp" : "2026-06-15T23:23:38.645", "mongoId" : "6a305a74f292fd229cf5153b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3000, "salaryAnnualMax" : 8000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Product upload rules", "Transaction workflows", "Sales expansion tactics", "Cross-border e-commerce", "Traffic driving", "Sales data analysis", "Marketing plan development", "E-commerce operations", "Amazon Lazada Shopee", "Sales expansion", "Market acumen", "Marketing strategy", "Cross-border e-commerce B2C", "Amazon", "Lazada", "Shopee" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 446.2955, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3076eff292fd229c020347", "title" : "OPERATIONS ANALYST III - OPERATIONAL EXCELLENCE", "company" : "Inter Carreiras", "industry" : "FinTech", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Operations Analyst III in FinTech in Belo Horizonte, Brazil, adjusted for mid-seniority and full-time employment." }, "location" : "BELO HORIZONTE", "locations" : [ "BELO HORIZONTE" ], "timestamp" : "2026-06-16T12:07:57.697", "fingerprint" : "e1516cb71e9dc324f17b795e507fae16145a2a075c2e5d99b43372391edf6170", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://boards.greenhouse.io/inter/jobs/4705402005?gh_jid=4705402005", "externalId" : "4705402005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belo Horizonte", "state" : "Minas Gerais", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-19.9227318,-43.9450948" } ], "locationText" : "Belo Horizonte, Minas Gerais, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "RPA, Workflows digitais", "professionalSkills" : [ "Process optimization", "Process analysis", "Process implementation", "Performance indicators", "Organizational transformation", "Stakeholder facilitation", "Process documentation", "Process standards" ], "hardSkillsList" : [ "Lean Six Sigma", "PDCA", "GPD", "BPMN", "Fluxogramas", "SIPOC", "DEIP" ], "softSkillsList" : [ "Relacionamento interpessoal" ], "hardSkills" : [ { "name" : "Lean Six Sigma", "level" : "intermediate" }, { "name" : "PDCA", "level" : "intermediate" }, { "name" : "GPD", "level" : "intermediate" }, { "name" : "BPMN", "level" : "intermediate" }, { "name" : "Fluxogramas", "level" : "intermediate" }, { "name" : "SIPOC", "level" : "intermediate" }, { "name" : "DEIP", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relacionamento interpessoal" } ], "majorSkills" : "Process optimization, Continuous improvement, Lean Six Sigma", "majorSkillsList" : [ "Process optimization", "Continuous improvement", "Lean Six Sigma" ], "coreResponsibilities" : "Otimizar processos organizacionais, Aprimorar processos organizacionais, Garantir processos eficientes, Garantir processos eficazes, Promover melhoria contínua, Gerar valor para organização, Mapear processos existentes, Documentar processos existentes, Analisar processos existentes, Identificar gargalos, Identificar ineficiências, Identificar redundâncias, Identificar oportunidades melhoria, Realizar diagnósticos, Propor soluções otimização processos, Implementar soluções otimização processos, Aplicar metodologias, Automatizar processos, Estabelecer padrões processos, Estabelecer normas processos, Garantir compliance regulamentações, Garantir compliance políticas internas, Criar indicadores desempenho, Monitorar resultados, Atuar agente transformação organizacional, Promover cultura melhoria contínua, Facilitar workshops, Facilitar reuniões stakeholders, Orientar analistas júnior, Orientar analistas pleno, Colaborar com áreas estratégicas, Colaborar com TI", "teamCollaboration" : "Stakeholders; Áreas estratégicas; TI", "domainKnowledge" : "Regulamentações de processo", "domainList" : [ "regulamentacoes-de-processo" ], "domainSpecificKnowledge" : [ "Regulamentações de processo" ], "toolProficiency" : [ "UiPath", "Power Automate" ], "documentationSkills" : "Documentação de processos", "continuousLearning" : "Programas treinamento; Capacitação internos", "problemSolvingSkills" : "Visão sistêmica; Visão transversal", "outcomesObjectives" : "Melhoria de custo; Aumento produtividade; Melhoria experiência cliente; Agilidade nas entregas; Conformidade regulamentações", "qualificationsBasic" : "Ensino superior completo, Experiência acima de 2 anos, Conhecimento metodologias Lean Six Sigma, Bons conhecimentos ferramentas mapeamento processos, Analisar processos visão sistêmica, Perfil influenciador, Raciocínio estruturado", "qualificationsPreferred" : "Inglês intermediário, Ferramentas de RPA, Plataformas BPMS, Ferramentas análise estatística", "rawDescription" : "Conheça o Inter Pioneiros, mudamos o mercado ao lançar o primeiro banco digital do Brasil e seguimos criando tendências com tecnologia de ponta. Evoluímos para um Super App Financeiro Global, com soluções completas e inovação de primeira. Aqui, o trabalho tem propósito: construir oportunidades reais, transformar a vida das pessoas e o mercado financeiro. Esse é o nosso Jeito Inter de Fazer. Se você quer fazer parte dessa mudança e deixar um legado, seu lugar é aqui. Vem ser Sangue Laranja. Get to Know Inter As pioneers, we transformed the market by launching Brazil’s first digital bank and continue to shape the future with cutting-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people’s lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. Sobre a vaga e missão do cargo: Você fará parte do Núcleo de Excelência Operacional, sendo responsável por otimizar e aprimorar os processos organizacionais, garantindo que sejam eficientes, eficazes e alinhados às estratégias do negócio, promovendo melhoria contínua e gerando valor para a organização, considerando melhoria de custo, aumento da produtividade, melhoria na experiência do cliente, agilidade nas entregas, conformidade com as regulamentações de cada processo. No seu dia a dia, você vai: Mapear, documentar e analisar processos existentes (end-to-end) Identificar gargalos, ineficiências, redundâncias e oportunidades de melhoria Realizar diagnósticos com visão sistêmica e transversal Propor e implementar soluções para otimização de processos Aplicar metodologias como Lean, Six Sigma, BPMN, NEX, dentre outras Automatizar processos quando aplicável (RPA, workflows digitais) Estabelecer padrões, normas e documentação de processos Garantir compliance com regulamentações e políticas internas Criar indicadores de desempenho (KPIs) e monitorar resultados Atuar como agente de transformação organizacional Promover cultura de melhoria contínua Facilitar workshops e reuniões com stakeholders Orientar analistas júnior e pleno Colaborar com áreas estratégicas e de TI O que buscamos Obrigatórios: Ensino superior completo em Administração, Engenharia de Produção, Estatística ou áreas afins. Experiência acima de 2 anos Conhecimento em metodologias Lean Six Sigma, PDCA ou GPD Bons conhecimentos em ferramentas de mapeamento de processos (BPMN, fluxogramas, SIPOC, DEIP) Analisar processos com visão sistêmica e transversal, considerando impactos em múltiplas áreas Relacionamento interpessoal, perfil influenciador. Raciocínio estruturado Desejáveis: Inglês intermediário. Ferramentas de RPA (UiPath, Power Automate) Plataformas BPMS Ferramentas de análise estatística Benefícios Vale-alimentação e Vale-refeição Plano de saúde e odontológico Seguro de vida DayOff de Aniversário Baby On Board e Sala de Amamentação Licença parental estendida Auxílio-creche/babá e/ou auxílio para filhos com deficiência Wellhub e Grupo de Corrida Inter Espaço CARE4U (Belo Horizonte): serviços de autocuidado com valores exclusivos, área de descompressão, jogos e minicampo de golfe Vantagens no nosso SuperApp, como Duo Gourmet Cartão Prime Inter Programas de treinamento e capacitação internos Etapas do Processo Seletivo Triagem de currículos; Screening (abordagem inicial para alinhamento de expectativas sobre a vaga); Assessments; Entrevista com Time de Talent; Teste técnico (quando necessário); Entrevista com a liderança; Proposta de Contratação (Offer);", "summaryDescription" : "OPERATIONS ANALYST III - OPERATIONAL EXCELLENCE at Inter Carreiras. Skills: Process optimization, Continuous improvement, Lean Six Sigma. Otimizar processos organizacionais. Aprimorar processos organizacionais", "postedDate" : "2026-06-16T01:16:02.031", "createdAt" : "2026-06-16T01:16:02.031", "lastUpdated" : "2026-06-16T12:07:57.697", "ingestTimestamp" : "2026-06-16T01:16:02.031", "mongoId" : "6a3076eff292fd229c020347", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Lean Six Sigma", "PDCA", "GPD", "BPMN", "Fluxogramas", "SIPOC", "DEIP", "Relacionamento interpessoal", "Process optimization", "Continuous improvement", "Process analysis", "Process implementation", "Performance indicators", "Organizational transformation", "Stakeholder facilitation", "Process documentation", "Process standards", "Regulamentações de processo", "UiPath", "Power Automate" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 441.63174, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30502bf292fd229ceed0ad", "title" : "Senior Operations Manager, E&I", "company" : "FLINT Corp.", "industry" : "Oil And Energy", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Operations Manager in the Energy industry in Sherwood Park, Canada, adjusted for manager-level seniority and full-time employment." }, "location" : "Sherwood Park, AB, Canada", "locations" : [ "Sherwood Park", "AB", "Canada" ], "certifications" : [ "Journeyperson Electrical Trade certification", "Journeyperson Instrumentation Trade certification", "Electrical Engineering degree", "BC FSR certification" ], "timestamp" : "2026-06-16T06:26:05.391", "fingerprint" : "2bfa1a1720e498485f24ed5e8bd0271ab6ff0c0994e08ae01a920832985fe208", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FLINTCorp1/3743990013624366-senior-operations-manager-e-i", "externalId" : "3743990013624366", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sherwood Park", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "53.5256963,-113.2966310" } ], "locationText" : "Sherwood Park, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Electrical, Instrumentation", "professionalSkills" : [ "Project management", "Cost estimating", "Bid development", "Operations strategy", "Business strategy", "Financial performance analysis", "Performance improvements" ], "hardSkillsList" : [ "HSE culture", "Safety role model", "Zero-incident culture", "Budget management", "Financial monitoring", "Variance analysis", "Project scope management", "Quality control", "Client relationships" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "HSE culture", "level" : "intermediate" }, { "name" : "Safety role model", "level" : "intermediate" }, { "name" : "Zero-incident culture", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Financial monitoring", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Project scope management", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Client relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "E&I operations, Business growth, HSE culture, Financial management", "majorSkillsList" : [ "E&I operations", "Business growth", "HSE culture", "Financial management" ], "coreResponsibilities" : "Pursue business growth opportunities, Promote at events, Support strategic account management, Engage with clients, Lead HSE culture, Promote HSE culture, Ensure adherence to policies, Foster zero-incident culture, Develop operational strategies, Implement operational strategies, Participate in setting targets, Manage budgets, Monitor financial performance, Provide analysis on variances, Manage project scope, Provide input on project estimates, Provide input on project proposals, Oversee E&I estimates, Coordinate with district teams, Conduct site inspections, Engage in E&I meetings, Support readiness reviews", "teamCollaboration" : "Client engagement; District teams; Field supervision", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Energy and industrial markets; Electrical and Instrumentation (E&I); Facility construction; Industrial maintenance; Plant shutdowns; Turnarounds; Field construction; Oil & Gas; Pipeline contracting", "domainList" : [ "energy-and-industrial-markets", "electrical-and-instrumentation-e-i", "facility-construction", "industrial-maintenance", "plant-shutdowns", "turnarounds", "field-construction", "oil-gas", "pipeline-contracting" ], "domainSpecificKnowledge" : [ "Energy and industrial markets", "Electrical and Instrumentation (E&I)", "Facility construction", "Industrial maintenance", "Plant shutdowns", "Turnarounds", "Field construction", "Oil & Gas", "Pipeline contracting" ], "toolProficiency" : [ "MS Office", "Project management software" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Opportunity for growth/advancement/development; Opportunity for internal development and growth", "problemSolvingSkills" : "Performance improvements", "specialRequirements" : "Travel up to 25%, Safety-sensitive position, Drug and alcohol testing, Background Check, Canadian Criminal Record check, Employment Verification, Education and Accreditation Verification, Profile TRAITS Survey", "outcomesObjectives" : "Ensure safety of operations; Ensure profitability of operations; Fulfill client commitments; Drive future growth", "qualificationsBasic" : "5+ years experience in Oil & Gas or industrial/pipeline contracting at a supervisory/managerial level, Journeyperson Electrical or Instrumentation Trade certification, Electrical Engineering degree, BC FSR certification, Equivalent education in business/project management, Ability to analyze project and operational financial data, Experience managing multiple projects with over 200 craft personnel, Coordinating with contractors for maintenance, construction, fabrication, shutdowns, and labor supply, Technical expertise in electrical and instrumentation, Construction experience, Shutdowns/turnarounds experience, Maintenance experience, Operations coordination experience, Cost estimating experience, Bid development experience, Proficient in reading RFPs, Proficient in reading drawings, Physically capable of job duties, Heavy lifting up to 50 lbs, Climbing, Bending", "qualificationsPreferred" : "Experience integrating into small to mid-sized communities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "FLINT is a leading service provider in Canada’s energy and industrial markets offering full asset life cycle support, including construction, maintenance, fabrication, and environmental services. Committed to safety and quality, we foster a workplace culture that values innovation and sustainability. With a strong local presence and top-tier talent, we deliver high-quality services as we help our customers bring their resources to our world. As an Electrical & Instrumentation (E&I) Senior Operations Manager, you will be responsible for ensuring the safety and profitability of operations within your assigned area, focusing on fulfilling client commitments and driving future growth in our E&I business. E&I services include facility construction, demand and long-term industrial maintenance support, plant shutdowns and turnarounds, field construction, and project management. Based in Sherwood Park, Alberta, you will report directly to the Area Manager. What would you be doing? * Pursue business growth opportunities in the assigned area through networking, local community involvement, and active promotion at events, trade shows, and business associations. Support strategic account management through client engagement, including cold calling and meetings. * Lead and promote FLINT’s Health, Safety, and Environment (HSE) culture, ensuring adherence to policies and programs. Act as a safety role model, fostering a zero-incident culture among field supervision. * Develop and implement local business and operational strategies aligned with FLINT’s overall business goals. Participate in setting annual revenue and profitability targets, manage budgets, and monitor financial performance, providing analysis on variances. * Manage and provide input on project scope, estimates, and proposals, particularly Electrical & Instrumentation (E&I) projects. Attending relevant planning meetings, supporting regional reviews, and overseeing E&I estimates over two hundred and fifty thousand, while coordinating with district teams on smaller projects. * Conduct routine site inspections focusing on safety, quality control, and client relationships. Engage in weekly E&I group meetings, support regional readiness reviews, and work from remote site locations or regional offices, with travel up to 25%. Perks of the job * Competitive pay * Health coverage for you and your family * Generous number of vacation days each year * Opportunity for growth/advancement/development * RRSP matching * Opportunity for other work/multiple projects * Opportunity for internal development and growth. ## Qualifications * Journeyperson Electrical or Instrumentation Trade certification, Electrical Engineering degree, BC FSR certification, or equivalent education in business/project management, with 5+ years' experience in Oil & Gas or industrial/pipeline contracting at a supervisory/managerial level. * Ability to analyze project and operational financial data to implement performance improvements. Experience managing multiple projects with over 200 craft personnel and coordinating with contractors for maintenance, construction, fabrication, shutdowns, and labor supply. * Strong technical expertise in electrical and instrumentation, including construction, shutdowns/turnarounds, maintenance, operations coordination, cost estimating, and bid development. Proficient in reading RFPs, drawings, and using MS Office and project management software. * Experience integrating into small to mid-sized communities as an active company representative. Proficient in English (written and verbal) and physically capable of job duties, including heavy lifting (up to 50 lbs.), climbing, and bending. ## Additional Information This position has been identified as a safety-sensitive position and will require completion of drug and alcohol testing. As a condition of employment, qualified applicants who accept the role must complete a satisfactory pre-employment Background Check. This may consist of a combination of a Canadian Criminal Record check, an Employment Verification, and an Education and Accreditation Verification. Candidates shortlisted will be required to complete the Profile TRAITS Survey. The purpose of the TRAITS Survey tool is to assist FLINT in understanding the behaviors of individuals to support the best use of their strengths, abilities, and potential. Our Commitment to Our People When you join FLINT, we make these promises: * Your work will matter. The projects you'll help build will serve communities for generations. * Your growth is our priority. We'll invest in your development and create paths for advancement. * Your voice will be heard. Your experience and ideas will shape how we tackle challenges. * Your team will support you. You'll work with people who want to see you succeed. * Your ambition will be rewarded. As you grow, FLINT grows – and we recognize those who help us build better. Shape Your Future. Strengthen Your Craft. Leave A Legacy. Please [click here](https://clearstreamenergyca.sharepoint.com/:b:/s/ClearStream/ER6M3EKfgUFChzW5scZuvqQBBczvzeYJD6JK2E4yjbqshQ?e=rKjNgY) to view our Recruitment Privacy Notice.", "summaryDescription" : "Senior Operations Manager, E&I at FLINT Corp.. Skills: E&I operations, Business growth, HSE culture, Financial management. Pursue business growth opportunities. Promote at events", "postedDate" : "2026-06-15T17:47:23.000", "createdAt" : "2026-06-15T21:38:18.318", "lastUpdated" : "2026-06-16T06:26:05.391", "ingestTimestamp" : "2026-06-15T21:38:18.318", "mongoId" : "6a30502bf292fd229ceed0ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "HSE culture", "Safety role model", "Zero-incident culture", "Budget management", "Financial monitoring", "Variance analysis", "Project scope management", "Quality control", "Client relationships", "Leadership", "E&I operations", "Business growth", "Financial management", "Project management", "Cost estimating", "Bid development", "Operations strategy", "Business strategy", "Financial performance analysis", "Performance improvements", "Energy and industrial markets", "Electrical and Instrumentation (E&I)", "Facility construction", "Industrial maintenance", "Plant shutdowns", "Turnarounds", "Field construction", "Oil & Gas", "Pipeline contracting", "Journeyperson Electrical Trade certification", "Journeyperson Instrumentation Trade certification", "Electrical Engineering degree", "BC FSR certification", "MS Office", "Project management software" ], "skillCount" : 35, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 439.28708, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30601ff292fd229cf85f7f", "title" : "E-Commerce Working Student (gn)", "company" : "The Quality Group GmbH", "industry" : "E-Commerce", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Working Student in Hamburg, Germany, adjusted for entry-level seniority and the food & beverage industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T08:42:15.395", "fingerprint" : "4392505191d6a240c1cb0a8fe2509af24ce6acd0eaaa5c409b6fd50ecf32f05a", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh1/jobs/4896330101", "externalId" : "4896330101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Shopify", "majorSkills" : "E-Commerce, Shop Operations", "majorSkillsList" : [ "E-Commerce", "Shop Operations" ], "coreResponsibilities" : "Support daily shop operations in Shopify, Maintain and update product pages, Update landing pages, Update campaign content, Update shop content, Support optimization of product detail pages, Support optimization of collections, Support optimization of conversion-relevant areas, Test new features, Test campaigns, Test shop adjustments, Ensure quality of features and adjustments, Analyze shop data, Prepare insights for the team, Support development of customer journey, Gain practical experience in D2C E-Commerce", "teamCollaboration" : "Marketing; CRM; Brand; Tech", "domainKnowledge" : "D2C E-Commerce", "domainList" : [ "d2c-e-commerce" ], "domainSpecificKnowledge" : [ "D2C E-Commerce" ], "toolProficiency" : [ "Shopify", "KI applications" ], "qualificationsBasic" : "Studying BWL, E-Commerce, Wirtschaftsinformatik, Marketing or comparable, First practical experience in E-Commerce, First touchpoints with Shopify, Structured, reliable, and careful work, Willingness to implement things yourself and take responsibility, Very good German language skills, Confident communication in English", "qualificationsPreferred" : "Passion for E-Commerce, digital products, and consumer brands", "workSiteFlexibility" : "Flexible", "rawDescription" : "Deine Mission bei uns Du unterstützt unser E-Commerce-Team bei den täglichen Shop Operations in Shopify Du pflegst und aktualisierst Produktseiten, Landingpages, Kampagneninhalte und Shop-Content Du unterstützt bei der Optimierung von Produktdetailseiten, Collections und Conversion-relevanten Bereichen Du testest neue Features, Kampagnen und Shop-Anpassungen und stellst deren Qualität sicher Du analysierst Shop-Daten und bereitest relevante Erkenntnisse für das Team auf Du arbeitest eng mit den Teams aus Marketing, CRM, Brand und Tech zusammen Du unterstützt bei der Weiterentwicklung unserer Customer Journey und sammelst praktische Erfahrung im D2C-E-Commerce Deine Erfahrung & Skills Du studierst BWL, E-Commerce, Wirtschaftsinformatik, Marketing oder einen vergleichbaren Studiengang Du begeisterst dich für E-Commerce, digitale Produkte und Consumer Brands Du hast bereits erste praktische Erfahrungen im E-Commerce gesammelt Du hattest bereits erste Berührungspunkte mit Shopify Du arbeitest strukturiert, zuverlässig und sorgfältig Du hast Spaß daran, Dinge selbst umzusetzen und Verantwortung zu übernehmen Du verfügst über sehr gute Deutschkenntnisse und kannst sicher auf Englisch kommunizieren Du nutzt moderne Tools und KI-Anwendungen selbstverständlich im Arbeitsalltag Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "E-Commerce Working Student (gn) at The Quality Group GmbH. Skills: E-Commerce, Shop Operations. Support daily shop operations in Shopify. Maintain and update product pages", "postedDate" : "2026-06-15T23:24:29.307", "createdAt" : "2026-06-15T23:24:29.307", "lastUpdated" : "2026-06-16T08:42:15.395", "ingestTimestamp" : "2026-06-15T23:24:29.307", "mongoId" : "6a30601ff292fd229cf85f7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "E-Commerce", "Shop Operations", "D2C E-Commerce", "Shopify", "KI applications" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 428.59033, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 419.4677, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c5b74d8ee00a0918501", "title" : "Pharmacy Market Forecasting & Trend Director", "company" : "SmithRx", "industry" : "Healthcare", "salary" : { "min" : 105000.0, "max" : 165000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Director seniority in the Healthcare industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T02:48:51.979", "fingerprint" : "b86d2222ee444e93411675cf87bed8ec29642829155ce78f65292994df9cf591", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smithrx/jobs/8585606002", "externalId" : "8585606002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Director", "technicalSkills" : "Excel", "professionalSkills" : [ "Forecasting", "Analytics", "Financial modeling", "Strategy development" ], "hardSkillsList" : [ "Quantitative analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Forecasting models, Market trends, Financial data", "majorSkillsList" : [ "Forecasting models", "Market trends", "Financial data" ], "coreResponsibilities" : "Develop drug spend forecasting models, Maintain drug spend forecasting models, Execute drug spend forecasting models, Quantify macro-market shifts, Translate market events to models, Evaluate customer trends, Inform future spend expectations, Translate actuarial findings, Translate analytical findings, Create external trend reports, Build drug spend models, Build automated spend forecasting reports, Assess customer retention, Craft offers to clients, Educate market on trend expectations, Manage client outcomes against trend, Support growth initiatives", "teamCollaboration" : "Collaborate with senior executives; Collaborate with key clients; Collaborate with Data Analytics; Collaborate with Clinical Strategy; Collaborate with Pricing; Collaborate with Performance & Accountability; Work with Sales teams; Work with Proposals teams", "domainKnowledge" : "Pharmacy industry dynamics; Healthcare expenditures; Drug acquisition platform; Pharmacy Benefit Management", "domainList" : [ "pharmacy-industry-dynamics", "healthcare-expenditures", "drug-acquisition-platform", "pharmacy-benefit-management" ], "domainSpecificKnowledge" : [ "Pharmacy industry dynamics", "Healthcare expenditures", "Drug acquisition platform", "Pharmacy Benefit Management" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Executive presentations; Client presentations; Broker presentations; Consultant presentations", "continuousLearning" : "Professional development; Training opportunities", "problemSolvingSkills" : "Analytical detail", "outcomesObjectives" : "Provide lowest drug costs; Optimize client outcomes", "qualificationsBasic" : "8+ years analytical experience, 3+ years healthcare experience, Bachelor's degree or equivalent experience", "qualificationsPreferred" : "Advanced degree or MBA preferred, Familiarity with pharmacy dynamics, Prior experience in finance, Prior experience in consulting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: SmithRx is seeking a Forecasting & Trend Analytics Director to join our growing team. In this strategic leadership role, you'll collaborate directly with senior executives and our key clients to ensure that SmithRx is achieving our objective of providing the lowest possible drug costs. This individual will be responsible for architecting Smith’s strategy enhanced forecast analytics at both the customer and market levels. The role is key to identifying and developing the financial and clinical data strategies that project healthcare expenditures for our clients. This will entail collaborating with our Data Analytics, Clinical Strategy, Pricing, and Performance & Accountability teams. The ideal candidate will have a strong background in forecasting and analytics, and possess a balance in connecting analytical detail, market trends, and clinical information to develop an overall cohesive approach. What you will do: Own the development, maintenance, and execution of forward-looking drug spend forecasting models. Quantify the impact of macro-market shifts in collaboration with Pricing team. Partner with the Clinical Strategy team to translate upcoming pharmacy market events into quantitative financial models. Evaluate customer level trends, to identify key drivers and inform future expectations at the overall spend levels. Translate highly complex actuarial and analytical findings into clear, compelling narratives for executive leadership, consultants, and sophisticated employer groups. Direct the creation of external trend reports showcasing the Smith’s market expectations and cost-containment efficacy. Work with the Data Analytics team to build out model(s) for deeply understanding drug spend forecasts, and build reports to maximally automate the process of spend forecasting given customer specific trends. Actively participate in customer level assessment for ongoing retention activity Work closely with Sales and Proposals teams to craft offers to pharmacy consultants, brokers, and clients which properly reflect SmithRx’s value. Engage pharmacy consultants and brokers to educate the market about SmithRx’s market trend expectations and how Smith manages to optimize client outcomes against trend. Various other ad hoc strategic projects aimed supporting SmithRx growth initiatives What you will bring to SmithRx: 8+ years of experience in analytical, forecasting, financial, actuarial or strategy roles, including 3+ years experience in healthcare and/or pharmacy industry related roles. Bachelor's degree or equivalent experience, advanced degree or MBA preferred. Strong familiarity with pharmacy industry dynamics and major market events. Prior experience in finance or consulting is a plus. Excel at both written and oral communication, adeptly presenting SmithRx trend expectations with a deep level of rigor to audiences including internal leaders, brokers, pharmacy consultants, and employers. What SmithRx Offers You: Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance Flexible Spending Benefits 401(k) Retirement Savings Program Short-term and long-term disability Discretionary Paid Time Off Paid Company Holidays Wellness Benefits Commuter Benefits Paid Parental Leave benefits Employee Assistance Program (EAP) Well-stocked kitchen in office locations Professional development and training opportunities", "summaryDescription" : "Pharmacy Market Forecasting & Trend Director at SmithRx. Skills: Forecasting models, Market trends, Financial data. Develop drug spend forecasting models. Maintain drug spend forecasting models", "postedDate" : "2026-06-14T18:34:14.828", "createdAt" : "2026-06-14T18:34:14.828", "lastUpdated" : "2026-06-16T02:48:51.979", "ingestTimestamp" : "2026-06-14T18:34:14.828", "mongoId" : "6a2c6c5b74d8ee00a0918501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Data analysis", "Forecasting models", "Market trends", "Financial data", "Forecasting", "Analytics", "Financial modeling", "Strategy development", "Pharmacy industry dynamics", "Healthcare expenditures", "Drug acquisition platform", "Pharmacy Benefit Management", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 418.67914, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca18574d8ee00a09a5c3c", "title" : "Product Manager – Org Charts & Organizational Intelligence", "company" : "SingleFile", "industry" : "SaaS", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in San Francisco, adjusted for the SaaS industry and company size." }, "location" : "San Francisco, CA", "locations" : [ "San Francisco", "CA" ], "timestamp" : "2026-06-16T00:45:53.190", "fingerprint" : "71c2cf85a887b45fc29a50516448e5c4e424fe447e0b0e9a59e054c6edeb93cf", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://singlefile.breezy.hr/p/d1f73af592ce-product-manager-org-charts-organizational-intelligence", "externalId" : "d1f73af592ce", "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", "experienceLevel" : "Manager", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Lead product evolution, Manage organizational intelligence capabilities", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Organizational intelligence", "domainList" : [ "organizational-intelligence" ], "domainSpecificKnowledge" : [ "Organizational intelligence" ], "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Role SingleFile is looking for a Product Manager to lead the evolution of our Org Charts product and related organizational intelligence capabilities. Organizations rely on accurate organizational structures, reporting relationships, and ownership visibility to manage compliance, governan", "summaryDescription" : "Product Manager – Org Charts & Organizational Intelligence at SingleFile. Skills: Product strategy, Roadmap, User stories. Lead product evolution. 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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" : 405.03842, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1f3f292fd229c117535", "title" : "Government Program Operations Manager – Analysis & Efficiencies", "company" : "Judi Health", "salary" : { "min" : 115600.0, "max" : 182500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T10:55:30.462", "fingerprint" : "c11792d9a6c2014c5c2aa7b658d58deb53d78a12e2aecb30478214655a1f6309", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capitalrx/jobs/5254288008", "externalId" : "5254288008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Denver, Colorado, United States; New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Manage government programs, Analyze program performance, Identify operational efficiencies, Develop and implement process improvements, Coordinate cross-functional teams, Manage vendor relationships, Track operational metrics, Plan and allocate resources, Report on program status", "teamCollaboration" : "Cross-functional teams; Stakeholder management", "domainKnowledge" : "Government programs", "domainList" : [ "government-programs" ], "domainSpecificKnowledge" : [ "Government programs" ], "problemSolvingSkills" : "Process improvement", "outcomesObjectives" : "Improve program efficiency; Enhance operational performance", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U. S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health. Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area) Position Summary: The Government Programs Operations Manager is responsible for overseeing the implementation, compliance, and optimization of Medicare, Medicaid, and Exchange programs. This position blends regulatory expertise with operational innovation to ensure that government program operations are both compliant and technically efficient. This manager will lead a team dedicated to identifying, developing, and maintaining technical analysis and efficiencies across the department. Responsibilities include designing automated solutions, validating the accuracy of outgoing deliverables, and establishing scalable processes that support regulatory and business objectives. The role also involves interpreting CMS and state guidance, collaborating with internal subject matter experts and clients, and ensuring that system capabilities align with both regulatory intent and client needs. In addition, the manager drives data-informed decision-making by overseeing the analysis of complex datasets to identify trends, outliers, and opportunities for process improvement. This includes creating detailed specifications for reports and operational tools and working closely with cross-functional teams—such as compliance, product, sales, marketing, underwriting, implementation, client services, and clinical operations—to enhance and maintain operational capabilities Position Responsibilities: Interpret and operationalize CMS/state regulatory and sub-regulatory guidance in collaboration with Compliance and internal SMEs Oversee timely implementation of regulatory changes, coordinating cross-functional workplans across impacted departments Monitor internal operations for government programs, identify and resolve errors through root cause analysis, and implement corrective actions Support claims correction activities related to retro-eligibility and coordination of benefits (COB), while placing focus on the accurate reprocessing of claims Support internal, client, and government audits by ensuring data accuracy, process transparency, and documentation completeness Drive team to maintain comprehensive documentation including policies, procedures, job aids, workflows, and reporting specifications Lead the development of automated tools and scalable solutions to improve operational efficiency and data accuracy Analyze complex encounter and PDE data using internal and external sources to identify trends, outliers, and improvement opportunities Define and document business and reporting requirements to support system enhancements and process improvements Track performance metrics for encounter and PDE submissions, ensuring alignment with client and regulatory expectations Promote subject matter expertise within the team by encouraging proactive process reviews and knowledge sharing for purpose of establishing continuity within the team and its processes Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Required Qualifications: 5+ years of healthcare data experience 5+ years of relevant PBM and/or Health Plan experience supporting Medicare Part D, Medicaid, or Exchange plans 5+ years of experience working with SQL, R, or Python Experience working with cross-functional teams Ability to balance multiple complex projects simultaneously Extremely flexible, highly organized, and able to shift priorities easily Attention to detail & commitment to delivering high quality work product Flexibility to respond to a range of different work situations. Excellent written and verbal communication skills Ability to foster a culture of collaboration and high performing team This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range $115,600—$182,500 USD New York, NY Salary Range $146,000—$182,500 USD Denver, CO Salary Range $133,600—$167,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.", "summaryDescription" : "Government Program Operations Manager – Analysis & Efficiencies at Judi Health. Manage government programs. Analyze program performance", "postedDate" : "2026-06-16T03:17:31.697", "createdAt" : "2026-06-16T03:17:31.697", "lastUpdated" : "2026-06-16T10:55:30.462", "ingestTimestamp" : "2026-06-16T03:17:31.697", "mongoId" : "6a30a1f3f292fd229c117535", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115600, "salaryAnnualMax" : 182500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Government programs" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 403.65704, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306782f292fd229cfbe795", "title" : "Revenue Operations Senior Associate", "company" : "Fever", "industry" : "Technology", "salary" : { "min" : 38000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Revenue Operations Associate in Madrid, Spain, adjusted for the e-commerce industry and company size." }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-16T08:47:05.781", "fingerprint" : "9e731bf9f1e47d81d3d685e93bb0bee7caf58983594ac4dcc2e6166e07498179", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4898384101", "externalId" : "4898384101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python, JavaScript, Google Cloud, Salesforce", "professionalSkills" : [ "Revenue Operations", "Strategy", "Growth", "Analytics", "Commercial operations", "Process optimization" ], "hardSkillsList" : [ "Analytical skills" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Revenue Operations, Process optimization, Data analysis", "majorSkillsList" : [ "Revenue Operations", "Process optimization", "Data analysis" ], "coreResponsibilities" : "Act as operational owner of business lines, Ensure processes and systems run efficiently, Ensure systems scale effectively, Define commercial operations, Develop commercial operations, Implement commercial operations, Identify bottlenecks, Identify inefficiencies, Identify improvement opportunities, Build tools, Build automations, Build dashboards, Optimize performance, Optimize decision-making, Collaborate with executives, Collaborate with business units", "teamCollaboration" : "Cross-functional teams; Multiple business units", "domainKnowledge" : "Live entertainment; Culture", "domainList" : [ "live-entertainment", "culture" ], "domainSpecificKnowledge" : [ "Live entertainment", "Culture" ], "toolProficiency" : [ "Excel", "SQL", "Python", "JavaScript", "Google Cloud", "Make", "N8n", "Salesforce" ], "continuousLearning" : "Professional growth", "problemSolvingSkills" : "Problem solver; Solution-driven mindset", "specialRequirements" : "Possible travel", "qualificationsBasic" : "Bachelor's degree in Engineering, 5+ years of experience in Revenue Operations, Strategy, Growth or Analytics roles, Proficiency in Excel, Proficiency in SQL", "qualificationsPreferred" : "Familiarity with CRM systems such as Salesforce", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet the Team: At Fever, the Revenue Operations team drives marketplace growth by shaping sales strategy, optimizing content and categories, and ensuring top-quality standards across every listing. We analyze performance, refine processes, and empower sales teams to reach their goals. By curating marketplace content and enhancing setup and copy, we maximize visibility and conversion. Working closely with QA and Sales, we identify issues early, streamline workflows, and create solutions that keep our marketplace running smoothly and efficiently. Join us if you have a sharp eye for detail, a strategic mindset, and a passion for curating the high-quality content that makes our marketplace a global leader. The Role: Act as the operational owner of one of our business lines, ensuring processes and systems run efficiently and scale effectively. Define, develop, and implement end-to-end commercial operations. Identify bottlenecks, inefficiencies, and improvement opportunities across commercial and cross-functional teams. Build tools, automations, and dashboards to optimize performance and decision-making. Collaborate closely with executives and multiple business units, gaining high exposure across the organization. Who You Are: Bachelor’s degree in Engineering. 5+ years of experience in Revenue Operations, Strategy, Growth or Analytics roles. Strong analytical skills, with proficiency in Excel and SQL. Hands-on, proactive problem solver who takes ownership from diagnosis to solution. Detail-oriented, with a structured and solution-driven mindset. Experience with coding or automation tools (e.g., Python, JavaScript, Google Cloud environment, Make, n8n, etc.). Familiarity with CRM systems such as Salesforce is a plus. Why You´ll Love it Here: Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Opportunity to have a real impact in a high-growth global category leader 40% discount on all Fever events and experiences Work in a location in the heart of Madrid, with possible travel across our markets Home-office friendly Responsibility from day one and professional and personal growth Great work environment with a young, international team of talented people to work with! Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee English Lessons We have free food, drinks and fruit at the office! Possibility to receive in advance part of your salary by Payflow Gympass membership #LI-hybrid #LI-fulltime Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Revenue Operations Senior Associate at Fever. Skills: Revenue Operations, Process optimization, Data analysis. Act as operational owner of business lines. Ensure processes and systems run efficiently", "postedDate" : "2026-06-15T23:23:58.007", "createdAt" : "2026-06-15T23:23:58.007", "lastUpdated" : "2026-06-16T08:47:05.781", "ingestTimestamp" : "2026-06-15T23:23:58.007", "mongoId" : "6a306782f292fd229cfbe795", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Analytical skills", "Revenue Operations", "Process optimization", "Data analysis", "Strategy", "Growth", "Analytics", "Commercial operations", "Live entertainment", "Culture", "Excel", "SQL", "Python", "JavaScript", "Google Cloud", "Make", "N8n", "Salesforce" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 401.9077, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059d3f292fd229cf4b2e9", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T08:36:35.216", "fingerprint" : "b5c332c6dff17e08ec57719085edffc2e13874ec8bad2f42503c2cc63f81fd86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:28:18.616", "lastUpdated" : "2026-06-16T08:36:35.216", "ingestTimestamp" : "2026-06-16T00:28:18.616", "mongoId" : "6a3059d3f292fd229cf4b2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 401.19275, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa8", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T10:03:10.589", "fingerprint" : "e8731ede0ca67f1d57b4836bee5734cd93890c04bfedb9ec44ddeed31dfc3765", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:27:48.493", "lastUpdated" : "2026-06-16T10:03:10.589", "ingestTimestamp" : "2026-06-16T00:27:48.493", "mongoId" : "6a305f0bf292fd229cf77aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 401.17313, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3065e2f292fd229cfac209", "title" : "Assistant(e) gérant(e)", "company" : "Couche-Tard", "industry" : "Retail", "salary" : { "min" : 19.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Store 6001082 Québec (Laurier Station) QC", "locations" : [ "Store 6001082 Québec (Laurier Station) QC", "Canada" ], "timestamp" : "2026-06-16T11:31:45.934", "fingerprint" : "0284da546b42ec4f984097264b86662e06176924628de0b00e988c01aeb58086", "source" : "workday", "language" : "fr", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-6001082-Qubec-Laurier-Station-QC/XMLNAME---Assistant-e--grant-e---ACT_R595704", "externalId" : "R595704", "industryFunction" : { }, "locationPoint" : "46.81228,-71.21454", "structuredLocations" : [ { "city" : "Québec", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "46.8137431,-71.2084061" } ], "locationText" : "Québec, Quebec, Canada", "professionalSkills" : [ "Gestion de caisse" ], "coreResponsibilities" : "Accueillir les clients, Offrir un service rapide, Effectuer les transactions, Assurer l'exactitude des transactions, Autoriser les pompes à essence, Surveiller les pompes à essence, Contribuer aux ventes, Contribuer au bon fonctionnement du magasin, Remplir les étalages, Effectuer la rotation des produits, Effectuer le facing des produits, Effectuer l'étiquetage des produits, Préparer le café, Approvisionner le café, Préparer les pâtisseries, Approvisionner les pâtisseries, Préparer les produits prêts-à-manger, Approvisionner les produits prêts-à-manger, S'assurer de la disponibilité des produits, Effectuer la préparation des aliments, Effectuer la cuisson des aliments, Respecter les procédures d'hygiène, Respecter les normes de salubrité, Maintenir le magasin propre, Maintenir les équipements propres, Maintenir la section alimentaire propre, Maintenir le magasin organisé, Maintenir les équipements organisés, Maintenir la section alimentaire organisée, Maintenir le magasin attrayant, Maintenir les équipements attrayants, Maintenir la section alimentaire attrayante", "teamCollaboration" : "Esprit d’équipe", "continuousLearning" : "Programme de bourses d’études", "specialRequirements" : "Soulever jusqu'à 12 kg", "qualificationsBasic" : "Apte à rester debout, Apte à soulever marchandise, Parler Français", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "123 Boul. Laurier, Québec (Laurier Station), Quebec G0S 1N0 **Assistant(e) gérant(e)** Salaire : 19,60$/h (Incluant prime**) Horaire :**** Principalement les soirs et les fins de semaine **Pourquoi tu devrais choisir un emploi chez Couche-Tard :** • Assurance collective; • Rabais corporatifs avantageux *; • Jusqu’à 20% de rabais sur presque tout en magasin; • Programme de bourses d’études offrant jusqu’à 2500$ par année *; • Journées mobiles; • Programme de reconnaissance des années de service; • Programme d’aide aux employés; • Stabilité d’emploi; • Horaire flexible; • Possibilité d’avancement au sein de l’entreprise; • Le port de jeans durant les heures de travail; • Environnement de travail dynamique. * certaines conditions s’appliquent **La vie chez Couche-Tard, ça ressemble à quoi :** • Accueillir les clients et offrir un service rapide et courtois; • Effectuer les transactions et assurer l’exactitude de la caisse; • Autoriser et surveiller les pompes à essence, lorsque applicable; • Contribuer aux ventes et au bon fonctionnement du magasin; • Remplir les étalages, effectuer la rotation, le « facing » et l’étiquetage des produits; • Préparer et approvisionner le café, les pâtisseries et les produits prêts-à-manger, selon les besoins; • S’assurer de la disponibilité des produits alimentaires; • Effectuer la préparation et la cuisson des aliments en respectant les procédures et les normes d’hygiène et de salubrité; • Maintenir le magasin, les équipements et la section alimentaire propres, organisés et attrayants. **Ce que nous cherchons dans nos magasins :** • Des gens souriants • Bonne aptitude pour le service à la clientèle; • Apte à rester début pendant des longues périodes; • Apte à soulever et à transporter de la marchandise régulièrement; • Gestion de caisse; • L’esprit d’équipe; • Sens de l’organisation. Le poids de la marchandise peut varier pouvant peser jusqu’à 12 kg (25 lb) ** Prime sujette à changement En vertu de la loi sur la langue française, toute personne embauchée dans notre grande région du Québec doit parler Français. Viens grandir avec nous ! Pour en savoir plus, consultez notre site internet : https://carrieres.couche-tard.com Suivez-nous sur LinkedIn! Le masculin est utilisé, sans discrimination, afin d’alléger le texte. Nous remercions tous les candidats de l’intérêt qu’ils portent à ce poste; seules les personnes sélectionnées seront contactées. **Couche-Tard / Circle K valorise la diversité sur le lieu de travail et s 'engage à respecter l'équité en matière d'emploi en encourageant les candidatures des groupes désignés suivants : les femmes, les autochtones, les personnes handicapées et les membres des minorités visibles. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.** ## **Couche-Tard / Circle K** valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses afin de pouvoir nous doter d’un effectif varié et représentatif de nos clients et des communautés que l’on sert. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.", "summaryDescription" : "Assistant(e) gérant(e) at Couche-Tard. Accueillir les clients. Offrir un service rapide", "postedDate" : "2026-06-16T03:49:55.627", "createdAt" : "2026-06-16T03:49:55.610", "lastUpdated" : "2026-06-16T11:31:45.934", "ingestTimestamp" : "2026-06-16T03:49:55.610", "mongoId" : "6a3065e2f292fd229cfac209", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-6001082-Qubec-Laurier-Station-QC/XMLNAME---Assistant-e--grant-e---ACT_R595704", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Gestion de caisse" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 400.5172, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "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" : 400.41507, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3065e2f292fd229cfac2eb", "title" : "Assistant(e) gérant(e)", "company" : "Couche-Tard", "industry" : "Retail", "salary" : { "min" : 18.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Store 6001147 rawdon QC", "locations" : [ "Store 6001147 rawdon QC", "Canada" ], "timestamp" : "2026-06-16T13:19:06.937", "fingerprint" : "27e3933a46073ca89e1f9b58f1a3a295fff183fac892aef3160b89cce8a27c59", "source" : "workday", "language" : "fr", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-6001147-rawdon-QC/Assistant-e--grant-e---ACT_R597608", "externalId" : "R597608", "industryFunction" : { }, "locationPoint" : "46.05007,-73.71587", "structuredLocations" : [ { "city" : "Rawdon", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "46.0454129,-73.7107666" } ], "locationText" : "Rawdon, Quebec, Canada", "professionalSkills" : [ "Gestion des ventes" ], "majorSkills" : "Gestion des ventes", "majorSkillsList" : [ "Gestion des ventes" ], "coreResponsibilities" : "Accueillir les clients, Offrir un service rapide, Effectuer les transactions, Assurer l'exactitude de la caisse, Autoriser les pompes à essence, Surveiller les pompes à essence, Contribuer aux ventes, Contribuer au bon fonctionnement du magasin, Remplir les étalages, Effectuer le facing, Étiqueter les produits, Préparer le café, Approvisionner les pâtisseries, Approvisionner les produits prêts-à-manger, S'assurer de la disponibilité des produits, Préparer les aliments, Cuire les aliments, Maintenir le magasin propre, Maintenir les équipements propres, Maintenir la section alimentaire propre", "teamCollaboration" : "Esprit d’équipe", "specialRequirements" : "Soulever jusqu'à 12 kg", "outcomesObjectives" : "Contribuer aux ventes", "qualificationsBasic" : "Apte à rester debout pendant des longues périodes, Apte à soulever et à transporter de la marchandise régulièrement, Parler Français", "qualificationsPreferred" : "Gestion de", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "3217 1ière Avenue, rawdon, Quebec J0K 1S0 **Assistant(e) gérant(e)** Salaire : 18,60$/h (Incluant prime**) Horaire :**** Principalement les soirs et les fins de semaine **Pourquoi tu devrais choisir un emploi chez Couche-Tard :** • Assurance collective; • Rabais corporatifs avantageux *; • Jusqu’à 20% de rabais sur presque tout en magasin; • Programme de bourses d’études offrant jusqu’à 2500$ par année *; • Journées mobiles; • Programme de reconnaissance des années de service; • Programme d’aide aux employés; • Stabilité d’emploi; • Horaire flexible; • Possibilité d’avancement au sein de l’entreprise; • Le port de jeans durant les heures de travail; • Environnement de travail dynamique. * certaines conditions s’appliquent **La vie chez Couche-Tard, ça ressemble à quoi :** • Accueillir les clients et offrir un service rapide et courtois; • Effectuer les transactions et assurer l’exactitude de la caisse; • Autoriser et surveiller les pompes à essence, lorsque applicable; • Contribuer aux ventes et au bon fonctionnement du magasin; • Remplir les étalages, effectuer la rotation, le « facing » et l’étiquetage des produits; • Préparer et approvisionner le café, les pâtisseries et les produits prêts-à-manger, selon les besoins; • S’assurer de la disponibilité des produits alimentaires; • Effectuer la préparation et la cuisson des aliments en respectant les procédures et les normes d’hygiène et de salubrité; • Maintenir le magasin, les équipements et la section alimentaire propres, organisés et attrayants. **Ce que nous cherchons dans nos magasins :** • Des gens souriants • Bonne aptitude pour le service à la clientèle; • Apte à rester début pendant des longues périodes; • Apte à soulever et à transporter de la marchandise régulièrement; • Gestion de caisse; • L’esprit d’équipe; • Sens de l’organisation. Le poids de la marchandise peut varier pouvant peser jusqu’à 12 kg (25 lb) ** Prime sujette à changement En vertu de la loi sur la langue française, toute personne embauchée dans notre grande région du Québec doit parler Français. Viens grandir avec nous ! Pour en savoir plus, consultez notre site internet : https://carrieres.couche-tard.com Suivez-nous sur LinkedIn! Le masculin est utilisé, sans discrimination, afin d’alléger le texte. Nous remercions tous les candidats de l’intérêt qu’ils portent à ce poste; seules les personnes sélectionnées seront contactées. **Couche-Tard / Circle K valorise la diversité sur le lieu de travail et s 'engage à respecter l'équité en matière d'emploi en encourageant les candidatures des groupes désignés suivants : les femmes, les autochtones, les personnes handicapées et les membres des minorités visibles. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.** ## **Couche-Tard / Circle K** valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses afin de pouvoir nous doter d’un effectif varié et représentatif de nos clients et des communautés que l’on sert. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection.", "summaryDescription" : "Assistant(e) gérant(e) at Couche-Tard. Skills: Gestion des ventes. Accueillir les clients. Offrir un service rapide", "postedDate" : "2026-06-16T03:52:12.846", "createdAt" : "2026-06-16T03:52:12.822", "lastUpdated" : "2026-06-16T13:19:06.937", "ingestTimestamp" : "2026-06-16T03:52:12.822", "mongoId" : "6a3065e2f292fd229cfac2eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-6001147-rawdon-QC/Assistant-e--grant-e---ACT_R597608", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Gestion des ventes" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 399.31265, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f00f292fd229cfe3b9a", "title" : "Government Program Operations Manager – Analysis & Efficiencies", "company" : "Judi Health", "salary" : { "min" : 115600.0, "max" : 182500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T12:06:31.958", "fingerprint" : "856f901f3beaecec251455360264fa9345574f6809dd49a5718cb30ceeefb049", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capitalrx/jobs/5254288008", "externalId" : "5254288008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Denver, Colorado, United States; New York, New York, United States; United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Manage government programs, Analyze program performance, Identify operational efficiencies, Develop and implement process improvements, Coordinate cross-functional teams, Manage vendor relationships, Track operational metrics, Plan and allocate resources, Report on program status", "teamCollaboration" : "Cross-functional teams; Stakeholder management", "domainKnowledge" : "Government programs", "domainList" : [ "government-programs" ], "domainSpecificKnowledge" : [ "Government programs" ], "problemSolvingSkills" : "Process improvement", "outcomesObjectives" : "Improve operational efficiencies; Enhance program performance", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U. S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health. Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area) Position Summary: The Government Programs Operations Manager is responsible for overseeing the implementation, compliance, and optimization of Medicare, Medicaid, and Exchange programs. This position blends regulatory expertise with operational innovation to ensure that government program operations are both compliant and technically efficient. This manager will lead a team dedicated to identifying, developing, and maintaining technical analysis and efficiencies across the department. Responsibilities include designing automated solutions, validating the accuracy of outgoing deliverables, and establishing scalable processes that support regulatory and business objectives. The role also involves interpreting CMS and state guidance, collaborating with internal subject matter experts and clients, and ensuring that system capabilities align with both regulatory intent and client needs. In addition, the manager drives data-informed decision-making by overseeing the analysis of complex datasets to identify trends, outliers, and opportunities for process improvement. This includes creating detailed specifications for reports and operational tools and working closely with cross-functional teams—such as compliance, product, sales, marketing, underwriting, implementation, client services, and clinical operations—to enhance and maintain operational capabilities Position Responsibilities: Interpret and operationalize CMS/state regulatory and sub-regulatory guidance in collaboration with Compliance and internal SMEs Oversee timely implementation of regulatory changes, coordinating cross-functional workplans across impacted departments Monitor internal operations for government programs, identify and resolve errors through root cause analysis, and implement corrective actions Support claims correction activities related to retro-eligibility and coordination of benefits (COB), while placing focus on the accurate reprocessing of claims Support internal, client, and government audits by ensuring data accuracy, process transparency, and documentation completeness Drive team to maintain comprehensive documentation including policies, procedures, job aids, workflows, and reporting specifications Lead the development of automated tools and scalable solutions to improve operational efficiency and data accuracy Analyze complex encounter and PDE data using internal and external sources to identify trends, outliers, and improvement opportunities Define and document business and reporting requirements to support system enhancements and process improvements Track performance metrics for encounter and PDE submissions, ensuring alignment with client and regulatory expectations Promote subject matter expertise within the team by encouraging proactive process reviews and knowledge sharing for purpose of establishing continuity within the team and its processes Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Required Qualifications: 5+ years of healthcare data experience 5+ years of relevant PBM and/or Health Plan experience supporting Medicare Part D, Medicaid, or Exchange plans 5+ years of experience working with SQL, R, or Python Experience working with cross-functional teams Ability to balance multiple complex projects simultaneously Extremely flexible, highly organized, and able to shift priorities easily Attention to detail & commitment to delivering high quality work product Flexibility to respond to a range of different work situations. Excellent written and verbal communication skills Ability to foster a culture of collaboration and high performing team This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range $115,600—$182,500 USD New York, NY Salary Range $146,000—$182,500 USD Denver, CO Salary Range $133,600—$167,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.", "summaryDescription" : "Government Program Operations Manager – Analysis & Efficiencies at Judi Health. Manage government programs. Analyze program performance", "postedDate" : "2026-06-16T01:15:30.751", "createdAt" : "2026-06-16T01:15:30.751", "lastUpdated" : "2026-06-16T12:06:31.958", "ingestTimestamp" : "2026-06-16T01:15:30.751", "mongoId" : "6a306f00f292fd229cfe3b9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115600, "salaryAnnualMax" : 182500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Government programs" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 399.1203, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c798e74d8ee00a0941d7d", "title" : "E-Commerce Operations Coordinator", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 28000.0, "max" : 35000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior E-Commerce Operations Coordinator in London, UK, adjusted for industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T00:53:26.924", "fingerprint" : "8f94b01877cf5d4ba15caebf976f99bca0f83e0838be91b4e4e457d240ea16c9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4237754009", "externalId" : "4237754009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Shopify", "professionalSkills" : [ "Product data management", "Order maintenance", "Site performance analysis", "Customer behaviour analysis", "Promotion management", "Fraud prevention", "Risk management" ], "hardSkillsList" : [ "Quality assurance", "Troubleshooting" ], "hardSkills" : [ { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "ECommerce operations, Product listings, Site performance", "majorSkillsList" : [ "ECommerce operations", "Product listings", "Site performance" ], "coreResponsibilities" : "Manage and create product listings, Perform daily quality assurance checks, Identify, troubleshoot, and escalate operational issues, Analyse website data, Develop deep understanding of product assortment, Oversee creation, implementation, and monitoring of promotions, Work closely with order management and fulfillment teams, Monitor transactions for fraudulent activity, Track site performance KPIs, Stay up to date with eCommerce and collector", "teamCollaboration" : "Cross-functional collaboration; Collaborate with engineering team; Collaborate with fraud prevention team", "domainKnowledge" : "ECommerce; Collectibles", "domainList" : [ "ecommerce", "collectibles" ], "domainSpecificKnowledge" : [ "ECommerce", "Collectibles" ], "toolProficiency" : [ "Shopify" ], "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Maintain exceptional customer experience; Drive overall business performance; Facilitate seamless customer journey; Protect site and customers; Make informative decisions on product detail changes; Relentlessly enhance user experience", "qualificationsBasic" : "Bachelor’s degree in Business, Marketing, or Computer Science, 1-3 years experience in eCommerce operations, management or marketing, Experience with ecommerce platforms and content management systems, Understanding of eCommerce performance metrics, Highly organised with exceptional attention to detail, Ability to work in a fast-paced environment, Resourceful and self-starter with problem-solving skills", "qualificationsPreferred" : "Familiarity with Akeneo, Amplitude and Shopify, French, German or Italian as a second language", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Role Summary The Fanatics Collectibles eCommerce Operations team is looking for a passionate eCommerce Operations Coordinator who will manage and optimize day-to-day eCommerce operations on Topps.com. This role will focus on product data, product creation, and order maintenance. They will work cross-functionally with Product, Merchandising, Logistics, Customer Service and Project Management ensuring product information is correct and orders are processed. This is a full time role, in the designated office 5 days per week. Responsibilities: Manage and Create Product Listings: Accurately create and maintain product listings for Topps.com through use of the Product Information Management (PIM) system and eCommerce admin tools (Shopify), ensuring all content is up-to-date and correct. This includes weekend launches throughout the year, coverage is handled on a rotating basis with other team members. Daily Quality Assurance: Perform daily quality assurance checks on the website, promptly identifying and correcting any errors or issues to maintain an exceptional customer experience. Troubleshoot Operational Issues: Identify, troubleshoot, and escalate operational issues by submitting tickets and collaborating with the engineering team. Ensure thorough testing and sign-off on any implemented solutions. Site Performance & Customer Behaviour Analysis: Regularly analyse website data, including customer behavior and performance metrics, to identify trends and areas for improvement. Use these insights to optimise site functionality and drive overall business performance. Product Knowledge & Assortment Management: Develop a deep understanding of the full product assortment and its key attributes to ensure accurate product descriptions, features, and benefits are reflected on the website. Manage Promotions & Discounts: Oversee the creation, implementation, and monitoring of promotional discounts across the site. Ensure that promotions align with business objectives and are accurately reflected on product pages. Review usage to spot potential abuse and make recommendations to the business. Cross-functional Collaboration: Work closely with order management and fulfillment teams to ensure smooth data transfer of product and order details, facilitating a seamless customer journey from purchase to delivery. Fraud Prevention & Risk Management: Monitor transactions for fraudulent activity, collaborating with the fraud prevention team to implement necessary actions and tools that protect the site and customers. Performance Monitoring & Reporting: Track site performance KPIs, such as load times, page views and conversion rates to make informative decisions on key product detail changes. Industry Trend Monitoring: Stay up to date with the latest eCommerce and collector trends, including technological advancements, best practices, and competitor activity, to relentlessly enhance the user experience. Qualifications: Bachelor’s degree, in Business, Marketing, Computer Science or related fields 1-3 year’s experience in eCommerce operations, management or marketing Experience with ecommerce platforms and content management systems, preferably Shopify Strong understanding of eCommerce performance metrics Highly organised with an exceptional attention to detail Ability to work in an ever changing fast-paced environment, closely with a diverse group of people Resourceful and self-starter with strong problem-solving skills Familiarity with tools such as Akeneo, Amplitude and Shopify a plus French, German or Italian as a second language a plus Customer-focused mindset to drive towards delivering a smooth and seamless shopping experience The above list of job duties is not exclusive or exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope and grading of the post. Subject to applicable laws, Fanatics Collectibles may choose to run a background check. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "E-Commerce Operations Coordinator at Fanatics Collectibles. Skills: ECommerce operations, Product listings, Site performance. Manage and create product listings. Perform daily quality assurance checks", "postedDate" : "2026-06-14T19:09:37.324", "createdAt" : "2026-06-14T19:09:37.324", "lastUpdated" : "2026-06-16T00:53:26.924", "ingestTimestamp" : "2026-06-14T19:09:37.324", "mongoId" : "6a2c798e74d8ee00a0941d7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Quality assurance", "Troubleshooting", "ECommerce operations", "Product listings", "Site performance", "Product data management", "Order maintenance", "Site performance analysis", "Customer behaviour analysis", "Promotion management", "Fraud prevention", "Risk management", "ECommerce", "Collectibles", "Shopify" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 396.5984, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050a0f292fd229cef2fe2", "title" : "Portfolio Operations & Automation Analyst (w/m/d)", "company" : "Enpal", "industry" : "Headquarter Growth", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Portfolio Operations & Automation Analyst in Berlin, Germany, adjusted for the climate tech industry." }, "location" : "Berlin", "locations" : [ "Berlin" ], "timestamp" : "2026-06-16T08:49:26.637", "fingerprint" : "4e556e2ebd4ab532588c93b92636ef8c54a90e77471b1fc66d180218438a82fe", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/2846b565-ada5-48e3-ad27-b5c19317d1f1/application", "externalId" : "2846b565-ada5-48e3-ad27-b5c19317d1f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Excel, SQL", "professionalSkills" : [ "Data analysis", "Process redesign", "Project ownership", "KPI development", "Performance analysis" ], "hardSkillsList" : [ "Data analysis", "Process optimization", "KPI reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" } ], "majorSkills" : "Portfolio Operations, Automation, Data Analysis", "majorSkillsList" : [ "Portfolio Operations", "Automation", "Data Analysis" ], "coreResponsibilities" : "Implement AI and automation solutions, Reduce manual processes, Scale central processes, Analyze operational processes, Redesign operational processes, Optimize for efficiency, Optimize for clarity, Optimize for performance, Own projects, Optimize portfolio operations, Develop KPI structures, Develop reporting, Steer business with data, Conduct data analyses, Identify performance drivers, Identify improvement measures, Collaborate with operations, Collaborate with tech, Integrate solutions, Support leadership, Develop asset management", "teamCollaboration" : "Cross-functional teams; Operations; Tech departments", "projectManagementSkills" : [ "Project ownership" ], "domainKnowledge" : "Asset management; Decentralized energy", "domainList" : [ "asset-management", "decentralized-energy" ], "domainSpecificKnowledge" : [ "Asset management", "Decentralized energy" ], "innovationCreativity" : "AI solutions", "problemSolvingSkills" : "Data analysis; Process optimization", "outcomesObjectives" : "Reduce manual processes; Scale central processes; Increase efficiency; Increase clarity; Increase performance", "qualificationsBasic" : "Experience with Excel, Experience with SQL, Ability to evaluate data structurally, Ability to interpret data, Experience with automation solutions, Experience with AI applications, Experience with end-to-end process optimization, Experience with operational implementation, German language skills, English language skills", "qualificationsPreferred" : "Experience with AI solutions in business, Experience with AI applications in business", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One http://Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN Unser Team verantwortet die datengetriebene Steuerung und Weiterentwicklung der Portfolio Operations innerhalb der Asset-Management-Organisation. Wir identifizieren Optimierungspotenziale entlang zentraler Prozesse, entwickeln skalierbare Lösungen und treiben deren Umsetzung end-to-end voran – mit einem klaren Fokus auf Effizienz, Automatisierung (auch durch AI Lösungen) und nachhaltige Performance-Steigerung. - Implementierung von AI- und Automatisierungslösungen zur Reduktion manueller Prozesse und Skalierung zentraler Abläufe - Analyse und gezieltes Re-Design operativer Prozesse im Asset Management mit Fokus auf Effizienz, Klarheit und Performance - Volles Ownership eigener Projekte zur langfristigen Optimierung der Portfolio Operations - Aufbau und Weiterentwicklung von KPI-Strukturen und Reportings, die eine datenbasierte Steuerung des Geschäfts ermöglichen - Durchführung anspruchsvoller Datenanalysen zur Identifikation von Performance-Treibern und konkreten Verbesserungsmaßnahmen - Enge Zusammenarbeit mit Operations, Tech und weiteren Fachbereichen zur direkten Integration von Lösungen in bestehende Prozesse - Unterstützung des Leaderships zur Weiterentwicklung der Asset Management Organisation DEIN PROFIL - Studienabschluss in einem analytischen oder wirtschaftsnahen Bereich (z. B. BWL, Economics, Data Analytics, Engineering oder vergleichbar) - Erste praktische Erfahrung in analytischen oder projektbasierten Rollen (z. B. Praktika, Werkstudententätigkeiten, Consulting, Start-up oder Operations) - Sicherer Umgang mit Datenanalyse (z. B. Excel, SQL) sowie die Fähigkeit, Daten strukturiert auszuwerten und zu interpretieren - Erste praktische Erfahrung im Umgang mit Automatisierungslösungen oder AI-Anwendungen im Business-Kontext - Erfahrung mit oder starkes Interesse an End-to-End-Prozessoptimierung und operativer Umsetzung - Sehr gute Deutsch- und Englischkenntnisse Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus - Wir sind überzeugt, dass exzellente Ergebnisse dort entstehen, wo die Bedingungen stimmen. Deshalb setzen wir auf ein hybrides Arbeitskonzept, das dir die Freiheit gibt, immer genau so zu arbeiten, wie es am besten zu deinen Aufgaben passt. Du brauchst neue Impulse auf internationalem Niveau? Mit Workflex bieten wir, abhängig von deiner Verantwortung, die Möglichkeit, deine Tätigkeit bis zu 30 Tage im Jahr ins Ausland zu verlegen. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 Urlaubstage + je ein freier Tag an Heiligabend und Silvester, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Portfolio Operations & Automation Analyst (w/m/d) at Enpal. Skills: Portfolio Operations, Automation, Data Analysis. Implement AI and automation solutions. Reduce manual processes", "createdAt" : "2026-06-16T00:27:38.827", "lastUpdated" : "2026-06-16T08:49:26.637", "ingestTimestamp" : "2026-06-16T00:27:38.827", "mongoId" : "6a3050a0f292fd229cef2fe2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process optimization", "KPI reporting", "Portfolio Operations", "Automation", "Data Analysis", "Process redesign", "Project ownership", "KPI development", "Performance analysis", "Asset management", "Decentralized energy" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 393.27484, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a74f292fd229cf51537", "title" : "E-Commerce Operation（(Entry-Level / Fresh Graduates)）", "company" : "Reolink", "industry" : "E-Commerce", "salary" : { "min" : 3000.0, "max" : 5000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : false }, "location" : "BO1-C-8， Boutique Office 2, Menara 2, KL Eco City, No.3, Jalan Bangsar , KL 59200 W.P.", "locations" : [ "BO1-C-8， Boutique Office 2", "Menara 2", "KL Eco City", "No.3", "Jalan Bangsar", "KL 59200 W.P." ], "timestamp" : "2026-06-16T09:48:28.649", "fingerprint" : "9d508619cca52b7e97864d0ee2ea6671ef33c619ed26841b28acf06c922c5043", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4229586009", "externalId" : "4229586009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Analytical skills", "Sales data interpretation" ], "majorSkills" : "E-commerce operations, Listing optimization, Promotional strategies", "majorSkillsList" : [ "E-commerce operations", "Listing optimization", "Promotional strategies" ], "coreResponsibilities" : "Manage and maintain e-commerce storefronts, Ensure smooth daily operations, Ensure optimal store performance, Upload product listings, Write high-quality titles, Optimize product titles, Write product descriptions, Optimize product descriptions, Write item specifics, Optimize item specifics, Conduct keyword research, Optimize listings, Improve product visibility, Improve search ranking, Improve conversion rates, Plan promotional strategies, Execute promotional strategies, Drive traffic, Drive sales growth, Monitor customer orders, Process customer orders, Coordinate fulfillment, Track sales performance, Analyze sales performance, Track traffic, Analyze traffic, Track conversion data, Analyze conversion data, Provide actionable insights, Optimize product strategies, Optimize pricing strategies, Ensure full compliance with platform policies, Ensure compliance with guidelines, Ensure compliance with best practices", "domainKnowledge" : "Cross-border e-commerce; E-commerce platforms; Amazon policies; Shopee policies; Lazada policies", "domainList" : [ "cross-border-e-commerce", "e-commerce-platforms", "amazon-policies", "shopee-policies", "lazada-policies" ], "domainSpecificKnowledge" : [ "Cross-border e-commerce", "E-commerce platforms", "Amazon policies", "Shopee policies", "Lazada policies" ], "problemSolvingSkills" : "Interpret sales data; Optimize performance", "outcomesObjectives" : "Improve product visibility; Improve search ranking; Improve conversion rates; Drive traffic; Drive sales growth", "qualificationsBasic" : "Bachelor's degree in any field, Solid understanding of platform policies, Detail-oriented, Responsible, Able to work independently", "qualificationsPreferred" : "Proven experience in cross-border e-commerce (B2C), Experience for Australia and Europe & US markets", "workSiteFlexibility" : "Onsite", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Responsibilities 1.Manage and maintain the company’s e-commerce storefronts across multiple platforms, ensuring smooth daily operations and optimal store performance, with a focus on the Australia and Europe & US markets. 2.Upload product listings across platforms, including writing and optimizing high-quality titles, descriptions, and item specifics, aligned with target market preferences. 3.Conduct keyword research and listing optimization to improve product visibility, search ranking, and conversion rates across different platform algorithms. 4.Plan and execute promotional strategies (e.g., discounts, campaigns, ads, sponsored listings) tailored to target markets to drive traffic and sales growth. 5.Monitor and process customer orders while coordinating fulfillment to meet platform-specific performance standards. 6.Track and analyze sales performance, traffic, and conversion data across platforms, provide actionable insights and continuously optimize product and pricing strategies. 7.Ensure full compliance with each platform's policies, guidelines, and best practices to safeguard account health and business continuity. Qualifications 1.Bachelor’s degree in any field. 2.Solid understanding of platform policies such as Amazon, Shopee, Lazada, etc. 3.Proven experience in cross-border e-commerce (B2C) is an advantage, particularly for the Australia and Europe & US markets. 4.Strong analytical skills with the ability to interpret sales data and optimize performance. 5.Detail-oriented, responsible, and able to work independently in a fast-paced environment. Pay Range RM3,000—RM5,000 MYR", "summaryDescription" : "E-Commerce Operation（(Entry-Level / Fresh Graduates)） at Reolink. Skills: E-commerce operations, Listing optimization, Promotional strategies. Manage and maintain e-commerce storefronts. Ensure smooth daily operations", "postedDate" : "2026-06-15T23:21:51.331", "createdAt" : "2026-06-15T23:21:51.331", "lastUpdated" : "2026-06-16T09:48:28.649", "ingestTimestamp" : "2026-06-15T23:21:51.331", "mongoId" : "6a305a74f292fd229cf51537", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "E-commerce operations", "Listing optimization", "Promotional strategies", "Analytical skills", "Sales data interpretation", "Cross-border e-commerce", "E-commerce platforms", "Amazon policies", "Shopee policies", "Lazada policies" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 392.70016, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309d64f292fd229c1030e0", "title" : "Senior Manager, GTM Operational Excellence", "company" : "Remote", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in the US SaaS industry, adjusted for remote work and manager-level experience." }, "location" : "Remote-NORAM", "locations" : [ "Remote-NORAM" ], "timestamp" : "2026-06-16T11:55:18.570", "fingerprint" : "34e31b0b23dbed8d265bc9b0fddd642aead64794eaf052c3520ba167e1e93038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotecom/jobs/7773957003", "externalId" : "7773957003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you As the Senior Manager, GTM Operational Excellence, you will architect and lead the future of how our Go-To-Market (GTM) organization operates. In this role, you aren't just managing processes—you are redefining them. At Remote, AI handles our operational floor (ticket resolution, knowledge retrieval, routine fixes). Your mission is to lead a high-performing team focused on the operational ceiling: identifying root causes of friction, designing enterprise-grade systemic fixes, and partnering deeply with executive stakeholders across RevOps, Systems, Data, and Enablement to drive behavioral changes that scale. You will have a seat at the table in shaping our AI-integrated operations strategy. What you bring Experience: Deep experience in BizOps, Strategy & Operations, or RevOps within a fast-growing SaaS environment, with at least 2–3 years of experience successfully managing and scaling high-performing teams. Scale Mindset: A proven track record of building, scaling, and maturing GTM systems and processes from mid-stage growth through enterprise scale. Technical Acumen: Deep working knowledge of Salesforce and complex GTM tech stacks (e.g., Enterprise CPQ, automated lead routing, complex compensation tooling). AI & Automation Fluent: A strong builder's mindset with hands-on experience leveraging AI tools, LLMs, and automation workflows to optimize business operations. You view AI as a core operational lever, not a buzzword. Leadership Persona: You operate with an executive-level \"the buck stops here\" mentality. You are comfortable navigating ambiguity, driving alignment across matrixed organizations, and taking full accountability for global outcomes. Communication: Exceptional written and verbal English communication skills, with a proven ability to distill complex operational challenges into clear, actionable executive narratives. Remote Work: Prior experience working in a globally distributed, asynchronous environment is a strong plus. Key Responsibilities Strategic Leadership & Vision Operational Roadmap: Define and execute the multi-quarter strategy and vision for GTM Operational Excellence, aligning it with Remote’s overarching growth and revenue goals. Team Leadership: Hire, develop, and lead a high-performing team of operations managers and analysts. Act as a mentor and coach, fostering a culture of extreme ownership and continuous improvement. Executive Stakeholder Management: Serve as the primary strategic partner to VP and C-level leaders across GTM, Systems, Product, and Finance to align operational initiatives with business priorities. AI & Systems Transformation AI-Driven Architecture: Oversee the strategy for Remote’s AI ticketing layer, automated knowledge bases, and AI agent tuning. Ensure our AI tech stack is optimized to maximize deflection rates and streamline GTM workflows. Systemic Problem Solving: Move beyond symptom management. Lead deep root-cause analyses on complex enterprise-level operational issues and collaborate with Systems/Engineering teams to ship scalable, permanent fixes. Incident Command & Post-Mortems: Own the post-mortem process for major operational incidents, translating systemic vulnerabilities into robust, future-proof infrastructure improvements. Enterprise Change Management & Governance Global Change Frameworks: Establish and mature Remote’s global change management framework. Ensure high adoption rates for new GTM programs through comprehensive communication strategies, enablement alignment, and executive buy-in. Metrics & Business Impact: Own the KPIs that define operational health. Track, analyze, and present executive-level reports on core metrics including ticket volume reduction, AI deflection rates, cost-to-serve, mean time to resolution (MTTR), and change adoption velocity. Practicals You'll report to: Director, Sales Operations Team: RevOps - Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from the EMEA as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 4 weeks Interview with recruiter Interview with Director, Sales Operations Interview with a cross-functional partner (async) RevOps case study Case study presentation to SVP, RevOps & Finance and Director, Sales Operations Prior employment verification check Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $103,550—$194,200 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Manager, GTM Operational Excellence at Remote", "postedDate" : "2026-06-16T03:17:21.287", "createdAt" : "2026-06-16T03:17:21.287", "lastUpdated" : "2026-06-16T11:55:18.570", "ingestTimestamp" : "2026-06-16T03:17:21.287", "mongoId" : "6a309d64f292fd229c1030e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 392.6558, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c8a74d8ee00a094db0c", "title" : "Operations Excellence Lead", "company" : "Indie Campers", "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-15T10:34:58.777", "fingerprint" : "2d4147e78c3b92e79f3ebcd9783235b1828b2c62409a4b06bb4eddbb4272d0f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/indiecampers-linkedin/jobs/8497261002", "externalId" : "8497261002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "forecasting", "procurement planning", "stock management", "compliance reporting" ], "softSkillsList" : [ "analytical thinking, hands-on approach, team leadership, collaboration" ], "hardSkills" : [ { "name" : "forecasting", "level" : "intermediate" }, { "name" : "procurement planning", "level" : "intermediate" }, { "name" : "stock management", "level" : "intermediate" }, { "name" : "compliance reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "analytical thinking, hands-on approach, team leadership, collaboration" } ], "majorSkills" : "Operational Excellence, Performance Management, Team Leadership, Inventory Management", "majorSkillsList" : [ "Operational Excellence, Performance Management, Team Leadership, Inventory Management" ], "coreResponsibilities" : "Ensure execution of core processes across all depots at high quality and consistency. Guarantee compliance with Standard Operating Procedures (SOPs) and proper deployment of central initiatives in the field. Oversee regional adherence to central scheduling tools, planning logic, and standards to maintain alignment and visibility.", "teamCollaboration" : "Act as the operations conduit between central teams (e.g., Supply Chain, CX, Product) and local depots. Partner closely with the Regional Director and BROMs to align on strategic priorities and execution plans.", "projectManagementSkills" : [ "strategic initiatives" ], "toolProficiency" : [ "Excel, GSheets, project management software" ], "communicationSkills" : "communicate clearly; collaborate effectively", "documentationSkills" : "Standard Operating Procedures (SOPs)", "problemSolvingSkills" : "root cause analysis; process consistency", "specialRequirements" : "Availability to travel if needed.", "outcomesObjectives" : "Drive performance improvements on KPIs including Customer Satisfaction, Ancillary Availability, and Operational Efficiency. Support root cause analysis and performance recovery efforts when KPIs are off track. Establish and maintain a performance reporting rhythm with local teams.", "qualificationsBasic" : "Have 5+ years of experience in operations, logistics, consulting, or a fast-growing scale-up. Have led small to medium-sized teams and enjoy coaching and developing others. Are an expert in driving performance using KPIs and operational metrics. Understand how to bridge central planning and local execution. Are obsessed with process consistency, but flexible enough to adapt when needed. Communicate clearly and collaborate effectively across teams and levels. Have a solid grasp of tools like Excel/GSheets, project management software. Are fluent in English and availability to travel if needed.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers, the go-to campervan Marketplace, is on a mission of making road trips available to everyone. Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices. With over one million nights rented through our travel platform, we have welcomed more than 300,000 travelers from 169 countries. We offer a comprehensive and expanding array of road trip possibilities: short-term RV rentals, long-term campervan subscriptions, and the possibility of buying one of our vehicles available for sale. Rooted in a deep technological focus, our challenges are both exciting and demanding and require top talent and motivation to be successfully pursued. We are growing our team and looking for those interested in pursuing this dream with us and joining an ever-developing journey. THE ROLE The Regional Operations Lead is a key leadership position responsible for ensuring the consistent, high-quality execution of core operational processes across all depots in the region (USA & Canada). You will act as the critical link between central teams and local execution, driving performance on key KPIs such as Customer Satisfaction, Operational Efficiency, and Ancillary Availability. This role demands analytical thinking, team leadership, and a hands-on approach to problem-solving. The Regional Operations Lead supports the Regional Director both strategically and operationally, while directly managing a team of high-performing Operations Analysts. WHAT WILL YOU WORK ON? Operational Excellence Ensure execution of core processes across all depots at high quality and consistency. Guarantee compliance with Standard Operating Procedures (SOPs) and proper deployment of central initiatives in the field. Oversee regional adherence to central scheduling tools, planning logic, and standards to maintain alignment and visibility. Performance Management Drive performance improvements on KPIs including Customer Satisfaction, Ancillary Availability, and Operational Efficiency. Support root cause analysis and performance recovery efforts when KPIs are off track. Establish and maintain a performance reporting rhythm with local teams. Team Leadership & Development Lead and develop a team of Operations Analysts, ensuring clarity of roles, responsibilities, and performance expectations. Support hiring, onboarding, and continuous development of the team. Strategic Collaboration Act as the operations conduit between central teams (e.g., Supply Chain, CX, Product) and local depots. Partner closely with the Regional Director and BROMs to align on strategic priorities and execution plans. Oversee strategic initiatives such as new depot openings, super depot transformation, and expansion efforts. Inventory and Supplier Oversight Take ownership of key regional suppliers and partners. Ensure the availability of ancillary products and extras across depots through accurate forecasting, procurement planning, and disciplined stock management. WHO ARE WE LOOKING FOR? Have 5+ years of experience in operations, logistics, consulting, or a fast-growing scale-up. Have led small to medium-sized teams and enjoy coaching and developing others. Are an expert in driving performance using KPIs and operational metrics. Understand how to bridge central planning and local execution. Are obsessed with process consistency, but flexible enough to adapt when needed. Communicate clearly and collaborate effectively across teams and levels. Have a solid grasp of tools like Excel/GSheets, project management software. Are fluent in English and availability to travel if needed. Are you Ready to Go Indie?", "summaryDescription" : "Operations Excellence Lead at Indie Campers. Skills: Operational Excellence, Performance Management, Team Leadership, Inventory Management. Ensure execution of core processes across all depots at high quality and consistency. Guarantee compliance with Standard Operating Procedures (SOPs) and proper deployment of central initiatives in the field. Oversee regional adherence to central scheduling tools, planning logic, and standards to maintain alignment and visibility.", "postedDate" : "2026-06-14T20:57:07.102", "createdAt" : "2026-06-14T20:57:07.102", "lastUpdated" : "2026-06-15T10:34:58.777", "ingestTimestamp" : "2026-06-14T20:57:07.102", "mongoId" : "6a2c7c8a74d8ee00a094db0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "forecasting", "procurement planning", "stock management", "compliance reporting", "analytical thinking, hands-on approach, team leadership, collaboration", "Operational Excellence, Performance Management, Team Leadership, Inventory Management", "strategic initiatives", "Excel, GSheets, project management software" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 389.02148, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307372f292fd229c0021b6", "title" : "Revenue Operations Manager", "company" : "Base44", "industry" : "Internet", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Revenue Operations Manager in the Technology industry in Tel Aviv, Israel, adjusted for company size and full-time employment." }, "location" : "Tel Aviv, IL", "locations" : [ "Tel Aviv", "IL" ], "certifications" : [ "Salesforce certification", "HubSpot certification" ], "timestamp" : "2026-06-16T10:11:56.081", "fingerprint" : "4cb319be72bd0aa91ac105ace96c7aeb4e4c1b9be0ba8d9aec1e5b2390d57117", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wix2/744000132184838-revenue-operations-manager-base44", "externalId" : "744000132184838", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Salesforce, HubSpot, Excel, Google Sheets, Tableau, Power BI, Looker, SQL", "professionalSkills" : [ "Data analysis", "Workflow automation", "Database administration", "Integration design", "Process management", "Data visualization" ], "hardSkillsList" : [ "Data architecture", "Metric tracking", "Pipeline health reporting", "Sales velocity reporting", "Churn trend reporting" ], "hardSkills" : [ { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "Pipeline health reporting", "level" : "intermediate" }, { "name" : "Sales velocity reporting", "level" : "intermediate" }, { "name" : "Churn trend reporting", "level" : "intermediate" } ], "majorSkills" : "Revenue operations, Sales operations, Data analysis, Process automation", "majorSkillsList" : [ "Revenue operations", "Sales operations", "Data analysis", "Process automation" ], "coreResponsibilities" : "Align GTM teams, Manage processes, Manage operations, Manage analytics, Turn datasets into strategies, Own revenue funnel integrity, Streamline workflows through automation, Deliver insights, Ensure data clarity, Ensure operational efficiency, Manage database hygiene, Manage lead routing, Manage lead-to-cash process, Administer tech stack, Design scalable integrations, Identify sales funnel bottlenecks, Implement automated workflows, Build dashboards, Track North Star metrics, Provide proactive insights, Deliver weekly reports, Drive tool adoption, Drive process adoption, Drive integration adoption", "teamCollaboration" : "GTM teams; Leadership", "domainKnowledge" : "Revenue funnel; Customer journey; Lead-to-cash process; GTM tools", "domainList" : [ "revenue-funnel", "customer-journey", "lead-to-cash-process", "gtm-tools" ], "domainSpecificKnowledge" : [ "Revenue funnel", "Customer journey", "Lead-to-cash process", "GTM tools" ], "toolProficiency" : [ "Salesforce", "HubSpot", "Gong", "ZoomInfo", "Clay", "Excel", "Google Sheets", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Data-backed training; Documentation", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Solving complex problems", "outcomesObjectives" : "Boost team efficiency; Drive user-driven growth", "qualificationsBasic" : "Bachelor's degree in quantitative field, 2–3 years revenue operations experience, Salesforce or HubSpot administration expertise, Advanced Excel/Google Sheets skills, Experience with data visualization tools, Familiarity with GTM tools, Proven experience integrating tools with CRM", "qualificationsPreferred" : "SQL proficiency, Salesforce/HubSpot certifications, Strategic mindset, Detail-oriented mindset, Knack for solving complex problems, Building scalable solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a revenue operations manager, you'll be at the heart of aligning our GTM teams by managing processes, operations, and analytics. You'll turn complex datasets into actionable growth strategies, own the integrity of our revenue funnel, streamline workflows through automation, and deliver insights that guide our next steps. Your goal is to ensure data clarity and operational efficiency across the entire customer journey—from initial lead to long-term retention. * Maintain a \"single source of truth\" by managing database hygiene, lead routing, and the end-to-end lead-to-cash process * Administer the tech stack and design scalable integrations between the CRM and third-party tools like Gong and ZoomInfo/Clay, ensuring minimal data friction * Identify bottlenecks in the sales funnel through data analysis and implement automated workflows to boost team efficiency * Build and maintain dashboards to track North Star metrics, providing proactive insights to leadership and GTM teams * Deliver weekly reports on pipeline health, sales velocity, and churn trends * Drive team adoption of tools, processes, and integrations through data-backed training sessions and documentation ## Qualifications * Bachelor's degree in a quantitative field such as Business, Finance, or Statistics * 2–3 years of experience in revenue operations, sales operations, or as a data/business analyst – required * Expertise in CRM system administration (Salesforce or HubSpot) with a focus on data architecture – required * Advanced skills in Excel/Google Sheets and experience with data visualization tools like Tableau, Power BI, or Looker – required * Strong familiarity with GTM tools (e.g Gong, Clay, ZoomInfo) – required * Proven experience integrating these tools with CRM - an advantage * Proficiency in SQL and certifications in Salesforce/HubSpot – an advantage * Strategic and detail-oriented mindset with a knack for solving complex problems and building scalable solutions ## Additional Information We're Base44, a newly acquired part of Wix, on a mission to redefine how software is built. Our AI-powered platform enables anyone to create custom software applications using natural language—no coding required. Operating like a startup within Wix, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions. We exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. Whether you're launching a product, validating a concept, or exploring a new idea, Base44 is here to help you build it. We're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.", "summaryDescription" : "Revenue Operations Manager at Base44. Skills: Revenue operations, Sales operations, Data analysis, Process automation. Align GTM teams. Manage processes", "postedDate" : "2026-06-15T12:03:10.000", "createdAt" : "2026-06-16T01:34:06.225", "lastUpdated" : "2026-06-16T10:11:56.081", "ingestTimestamp" : "2026-06-16T01:34:06.225", "mongoId" : "6a307372f292fd229c0021b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data architecture", "Metric tracking", "Pipeline health reporting", "Sales velocity reporting", "Churn trend reporting", "Revenue operations", "Sales operations", "Data analysis", "Process automation", "Workflow automation", "Database administration", "Integration design", "Process management", "Data visualization", "Revenue funnel", "Customer journey", "Lead-to-cash process", "GTM tools", "Salesforce certification", "HubSpot certification", "Salesforce", "HubSpot", "Gong", "ZoomInfo", "Clay", "Excel", "Google Sheets", "Tableau", "Power BI", "Looker" ], "skillCount" : 30, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 386.2208, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c5c", "title" : "Survey Data Operations Analyst", "company" : "Gallup", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:40:42.226", "fingerprint" : "ee7edda4a23a70a8c47fc2a1143afd4966eaa70e3db560f2f7a0840ea9500ec9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4243092009", "externalId" : "4243092009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, 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" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "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 of 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", "rawDescription" : "Build and automate the data workflows that power Gallup’s survey research. As a survey data operations analyst at Gallup, you’ll transform complex survey and operational data into reliable, scalable datasets that power world-class research. In this role, you will build and support automated data pipelines, strengthen data quality processes, and help internal teams spend less time cleaning data and more time generating insights that change the world. What You’ll Do Build and support data pipelines that ingest raw sample files, vendor files, API data and operational data and transform them into clean outputs for analysis and reporting Organize respondent, project, survey, client and operational data into consistent and reusable datasets Develop and maintain databases containing panelist, respondent and operational data Validate data quality by checking completeness, accuracy, formatting and consistency and troubleshooting missing data, duplicates, file issues and schema changes Ensure secure handling of sensitive and personally identifiable information Automate manual and repetitive tasks by creating reusable scripts, templates, validation checks and scheduled jobs Support workflows that move survey data into structured folders and reporting environments Collaborate with analysts, methodologists, survey programmers, project managers, QA partners and other internal teams to translate business and research requirements into practical data solutions Learn and apply survey data operations concepts including how sample, fielding and response data move through Gallup’s research processes Who We Want Automation-minded problem-solvers who look for ways to make manual work faster, cleaner and more scalable through scripts, templates and repeatable processes Detail-oriented quality champions who understand that small data issues can create big downstream problems and who demonstrate strong attention to data accuracy, privacy and integrity Root-cause investigators who enjoy troubleshooting data issues, identifying underlying causes and implementing sustainable, repeatable solutions Clear communicators who can explain technical concepts to internal stakeholders, collaborate effectively across teams and manage multiple priorities while maintaining high standards Reliable owners who take accountability for their work, meet deadlines, and handle sensitive data with professionalism and care Technically curious professionals who are interested in exploring new tools, including AI, to improve efficiency and solve problems What You Need Bachelor’s degree in computer science, management information systems, data analytics, mathematics, statistics, business, social science, market research or a related field required Experience with Python, SQL and Excel required Experience with R, APIs, Linux or command-line environments preferred Experience building automated or repeatable data processes preferred Experience working with structured data files or databases preferred Exposure to survey or research data environments and interest in learning about survey research and data operations preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required Must currently reside within a 250-mile radius of Omaha, Nebraska Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship What You’ll Experience Mission-driven work: Make a meaningful difference in the world with your unique contributions, commitment to service and exceptional outcomes. An empowering culture:Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences. Learning and development: Grow in your career as we invest in what you do best, encourage curiosity and create an environment where it’s safe — and expected — to challenge the status quo. Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. A vibrant workplace: Enjoy an on-site cafeteria, fitness center, federal credit union and state-of-the-art child development center, all on a beautiful downtown Omaha campus along the Missouri River. About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $60,000-$75,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KR1", "summaryDescription" : "Survey Data Operations Analyst at Gallup. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-16T03:16:55.245", "createdAt" : "2026-06-16T03:16:55.245", "lastUpdated" : "2026-06-16T12:40:42.226", "ingestTimestamp" : "2026-06-16T03:16:55.245", "mongoId" : "6a30a1e0f292fd229c116c5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 384.22708, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309d64f292fd229c1030df", "title" : "Senior Manager, GTM Operational Excellence", "company" : "Remote", "salary" : { "min" : 6500000.0, "max" : 1.05E7, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in SaaS, adjusted for remote EMEA location and manager seniority." }, "location" : "Remote-EMEA", "locations" : [ "Remote-EMEA" ], "timestamp" : "2026-06-16T15:36:40.123", "fingerprint" : "5b1ccfd55400dbbb8e4bdc53da82837a4b8eab3a5e263840a45da1e13bf3c2ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotecom/jobs/7771355003", "externalId" : "7771355003", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "as", "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 2, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you As the Senior Manager, GTM Operational Excellence, you will architect and lead the future of how our Go-To-Market (GTM) organization operates. In this role, you aren't just managing processes—you are redefining them. At Remote, AI handles our operational floor (ticket resolution, knowledge retrieval, routine fixes). Your mission is to lead a high-performing team focused on the operational ceiling: identifying root causes of friction, designing enterprise-grade systemic fixes, and partnering deeply with executive stakeholders across RevOps, Systems, Data, and Enablement to drive behavioral changes that scale. You will have a seat at the table in shaping our AI-integrated operations strategy. What you bring Experience: Deep experience in BizOps, Strategy & Operations, or RevOps within a fast-growing SaaS environment, with at least 2–3 years of experience successfully managing and scaling high-performing teams. Scale Mindset: A proven track record of building, scaling, and maturing GTM systems and processes from mid-stage growth through enterprise scale. Technical Acumen: Deep working knowledge of Salesforce and complex GTM tech stacks (e.g., Enterprise CPQ, automated lead routing, complex compensation tooling). AI & Automation Fluent: A strong builder's mindset with hands-on experience leveraging AI tools, LLMs, and automation workflows to optimize business operations. You view AI as a core operational lever, not a buzzword. Leadership Persona: You operate with an executive-level \"the buck stops here\" mentality. You are comfortable navigating ambiguity, driving alignment across matrixed organizations, and taking full accountability for global outcomes. Communication: Exceptional written and verbal English communication skills, with a proven ability to distill complex operational challenges into clear, actionable executive narratives. Remote Work: Prior experience working in a globally distributed, asynchronous environment is a strong plus. Key Responsibilities Strategic Leadership & Vision Operational Roadmap: Define and execute the multi-quarter strategy and vision for GTM Operational Excellence, aligning it with Remote’s overarching growth and revenue goals. Team Leadership: Hire, develop, and lead a high-performing team of operations managers and analysts. Act as a mentor and coach, fostering a culture of extreme ownership and continuous improvement. Executive Stakeholder Management: Serve as the primary strategic partner to VP and C-level leaders across GTM, Systems, Product, and Finance to align operational initiatives with business priorities. AI & Systems Transformation AI-Driven Architecture: Oversee the strategy for Remote’s AI ticketing layer, automated knowledge bases, and AI agent tuning. Ensure our AI tech stack is optimized to maximize deflection rates and streamline GTM workflows. Systemic Problem Solving: Move beyond symptom management. Lead deep root-cause analyses on complex enterprise-level operational issues and collaborate with Systems/Engineering teams to ship scalable, permanent fixes. Incident Command & Post-Mortems: Own the post-mortem process for major operational incidents, translating systemic vulnerabilities into robust, future-proof infrastructure improvements. Enterprise Change Management & Governance Global Change Frameworks: Establish and mature Remote’s global change management framework. Ensure high adoption rates for new GTM programs through comprehensive communication strategies, enablement alignment, and executive buy-in. Metrics & Business Impact: Own the KPIs that define operational health. Track, analyze, and present executive-level reports on core metrics including ticket volume reduction, AI deflection rates, cost-to-serve, mean time to resolution (MTTR), and change adoption velocity. Practicals You'll report to: Director, Sales Operations Team: RevOps - Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from the EMEA as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 4 weeks Interview with recruiter Interview with Director, Sales Operations Interview with a cross-functional partner (async) RevOps case study Case study presentation to SVP, RevOps & Finance and Director, Sales Operations Prior employment verification check Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $103,550—$194,200 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Manager, GTM Operational Excellence at Remote", "postedDate" : "2026-06-16T03:16:32.591", "createdAt" : "2026-06-16T03:16:32.591", "lastUpdated" : "2026-06-16T15:36:40.123", "ingestTimestamp" : "2026-06-16T03:16:32.591", "mongoId" : "6a309d64f292fd229c1030df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 384.20126, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "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. 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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. 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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

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Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. 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. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. 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: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.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" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 380.7399, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306002f292fd229cf84369", "title" : "Sr. Manager, Statistical Programming and Data Operations", "company" : "Kyowa Kirin North America", "industry" : "Pharma", "salary" : { "min" : 145000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-16T08:50:44.103", "fingerprint" : "49d9cfec2d36afaf4e7072ec9fd00eb8eee6a4c344e64335be311f83397963b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kyowakirinusa90/jobs/7773426003", "externalId" : "7773426003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SAS, R, Microsoft Office", "professionalSkills" : [ "Vendor oversight", "Project management", "Data standards" ], "hardSkillsList" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" }, { "name" : "CDISC compliant submission", "level" : "intermediate" }, { "name" : "Regulatory documents", "level" : "intermediate" } ], "majorSkills" : "Statistical programming, CDISC standards, Vendor management", "majorSkillsList" : [ "Statistical programming", "CDISC standards", "Vendor management" ], "coreResponsibilities" : "Develop TLF shells, Develop CDISC deliverables, Develop TLFs, Participate in vendor selection, Oversee vendor processes, Review Requests for Proposal, Track stat/programming activities, Manage project budget, Manage timeline of deliverables, Ensure statistical deliverables meet timelines, Oversee statistical programming tasks, Manage stat/programming TMFs, Act as subject matter expert, Interface with in-house staff, Participate on project team, Manage cost of activities, Manage timeline of activities, Review protocols, Review case report forms, Review statistical analysis plans, Review specifications for raw data, Review clinical study reports, Review study-related documents, Provide statistical programming input, Prepare CDISC data submission package, Prepare SAS programming for regulatory documents, Provide statistical programming for publications, Provide statistical programming for presentations, Provide ad-hoc analyses, Provide post-hoc analyses, Conduct programming QC reviews, Support departmental initiatives, Improve programming activities, Coordinate with Japanese colleagues, Liaise regarding global procedures, Liaise regarding global processes, Liaise regarding global standards", "teamCollaboration" : "Cross-regional staffs; Project team; Japanese colleagues", "projectManagementSkills" : [ "Timeline management", "Budget management" ], "domainKnowledge" : "Clinical trials; Drug development; ICH guidelines; Regulatory guidance; Life sciences industry; Biostatistics; CDISC standards", "domainList" : [ "clinical-trials", "drug-development", "ich-guidelines", "regulatory-guidance", "life-sciences-industry", "biostatistics", "cdisc-standards" ], "domainSpecificKnowledge" : [ "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "CDISC standards" ], "toolProficiency" : [ "SAS", "Microsoft Office" ], "documentationSkills" : "TLF shells; CDISC datasets; Regulatory documents", "specialRequirements" : "FDA inspections", "qualificationsBasic" : "Bachelor's Degree or higher in Computer Science, Statistics, or related discipline, Six or more years of experience with a Master's degree, Eight or more years of experience with a Bachelor's degree, Proven experience in statistical programming for clinical trials, Experience in study oversight of statistical analysis for clinical trials, Demonstrated expertise in CDISC standards, Excellent proficiency in SAS", "qualificationsPreferred" : "Experience in data integration for ISS/ISE, Experience using SAS-LSAF, Advance skill in R", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: Manager, Statistical Programming and Data Operations (SPDO) in Biostatistics is responsible for vendor oversight and management to deliver the high-quality tables, listings, and figures (TLFs), as well as CDISC datasets for clinical trials and integrated statistical analysis intended for regulatory submissions, interfacing with cross-regional staffs in establishing and maintaining global data standards and department procedures. Essential Functions: Vendor Oversight and Management • Responsible for developing TLF shells, CDISC deliverables, and TLFs in collaboration with stat/programming vendors. • Participate in vendor selection/oversight processes: Create and/or review Requests for Proposal (RFP); track the progress of stat/programming activities and the project budget for stat/programming vendor; and manage the timeline of stat/programming deliverables. • Collaborate with stat/programming vendors to ensure all statistical deliverables from the vendor meet timelines with quality. Oversee all aspects of statistical programming tasks performed by the vendor. • Manage the stat/programming related TMFs in collaboration with stat/programming vendors and act as a subject matter expert at FDA inspections. Internal Collaboration • Interface with in-house staff: Participate on project team meetings; and manage the cost and timeline of stat/programming activities in collaboration with each project manager. • Review protocols, case report forms, statistical analysis plans, specifications for raw data, clinical study reports, and the other study-related documents. • Collaborate with biostatistician to provide statistical programming input on project topics and issues. Statistical Programming • Responsible for preparation of CDISC data submission package and SAS programming for regulatory documents (e. g. Response to information requests from HA; Integrated summaries; BIMO; and DSUR). • Provide statistical programming for publications and presentations, ad-hoc and post-hoc analyses of clinical study data. • Conduct programming QC reviews of vendor deliverables in accordance with internal guidelines and work instructions. • Support departmental initiatives related to process building/improvement of programming activities. • Coordinate and liaise with our Japanese colleagues, as needed, regarding global procedures, processes, and standards. Requirements: Education Bachelor’s Degree or higher in Computer Science, Statistics, or closely related discipline. Experience • Proven experience in statistical programming for clinical trials in the life sciences industry: six or more years with a Master’s degree, or eight or more years with a Bachelor’s degree. • Experience in study oversight of statistical analysis for clinical trials in the life science industry • Demonstrated expertise in CDISC standards and CDISC compliant submission requirements. • Experience in data integration for ISS/ISE across multiple studies for regulatory submissions (preferred) • Experience in using SAS-LSAF (i. e. Life Science Analytics Framework), including its repository and programming environment (preferred) Technical Skills • Excellent proficiency in SAS (required); Advance skill in R (preferred). • Highly skilled in Microsoft Office applications (Word, PowerPoint, Excel, Outlook). • Familiarity with ICH guidelines (especially E9) and other regulatory guidance. • Solid understanding of development, regulatory and commercial aspects of drug development. The anticipated salary for this position will be $145,000 to $160,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: 401K with company match Annual Bonus Program (Sales Bonus for Sales Jobs) Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) HSA Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #Hybrid #Princeton", "summaryDescription" : "Sr. Manager, Statistical Programming and Data Operations at Kyowa Kirin North America. Skills: Statistical programming, CDISC standards, Vendor management. Develop TLF shells. Develop CDISC deliverables", "postedDate" : "2026-06-15T23:25:02.678", "createdAt" : "2026-06-15T23:25:02.678", "lastUpdated" : "2026-06-16T08:50:44.103", "ingestTimestamp" : "2026-06-15T23:25:02.678", "mongoId" : "6a306002f292fd229cf84369", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical programming", "CDISC compliant submission", "Regulatory documents", "CDISC standards", "Vendor management", "Vendor oversight", "Project management", "Data standards", "Timeline management", "Budget management", "Clinical trials", "Drug development", "ICH guidelines", "Regulatory guidance", "Life sciences industry", "Biostatistics", "SAS", "Microsoft Office" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 377.17807, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309d62f292fd229c103000", "title" : "Supply Sales Operations Manager", "company" : "Engine", "industry" : "FinTech", "salary" : { "min" : 87805.0, "max" : 121500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-16T10:16:50.313", "fingerprint" : "a5a76b96c6d754e41482ca1c6f103521477b852803719d82b94bf09de5d02c3e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/engine/jobs/7770840003", "externalId" : "7770840003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Salesforce CRM", "professionalSkills" : [ "Business partnering", "Financial reporting", "Business reporting", "Process design", "Process implementation", "Forecasting", "Performance reporting", "Data analysis", "Market analysis", "Business case development" ], "hardSkillsList" : [ "Data cleaning", "Report building", "Workflow fixing", "Pipeline reviews", "Forecasting rhythm", "Dashboard building", "Account management", "Compensation plan design", "Data accuracy", "CRM health management", "Record types", "Data quality", "Goal setting", "Headcount modeling" ], "hardSkills" : [ { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Workflow fixing", "level" : "intermediate" }, { "name" : "Pipeline reviews", "level" : "intermediate" }, { "name" : "Forecasting rhythm", "level" : "intermediate" }, { "name" : "Dashboard building", "level" : "intermediate" }, { "name" : "Account management", "level" : "intermediate" }, { "name" : "Compensation plan design", "level" : "intermediate" }, { "name" : "Data accuracy", "level" : "intermediate" }, { "name" : "CRM health management", "level" : "intermediate" }, { "name" : "Record types", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Goal setting", "level" : "intermediate" }, { "name" : "Headcount modeling", "level" : "intermediate" } ], "majorSkills" : "Sales Operations, Revenue Operations, Salesforce CRM, Data Analysis", "majorSkillsList" : [ "Sales Operations", "Revenue Operations", "Salesforce CRM", "Data Analysis" ], "coreResponsibilities" : "Build sales team operations, Improve sales team operations, Map deal processes, Identify process bottlenecks, Fix process bottlenecks, Create repeatable processes, Partner with sales leadership, Ensure process adoption, Own forecasting, Own performance reporting, Run pipeline reviews, Run forecasting rhythm, Build performance dashboards, Build account dashboards, Build rep performance reports, Spot data trends, Manage account division, Manage team pay, Decide rep account ownership, Balance workload, Support compensation plan design, Support compensation plan maintenance, Motivate sales team, Reward sales behaviors, Keep tools accurate, Keep data accurate, Own CRM health, Ensure account ownership, Ensure record types, Ensure data cleanliness, Work with data team, Ensure reporting accuracy, Fix tool issues, Fix data issues, Flag data issues, Lead business projects, Take on special initiatives, Build business cases, Connect sales, finance, data, product, Ensure common playbook", "teamCollaboration" : "Sales leadership; Data team; Finance teams; Product teams", "projectManagementSkills" : [ "Cross-functional projects" ], "domainKnowledge" : "Business travel; Spend management; Fintech platforms", "domainList" : [ "business-travel", "spend-management", "fintech-platforms" ], "domainSpecificKnowledge" : [ "Business travel", "Spend management", "Fintech platforms" ], "toolProficiency" : [ "Salesforce CRM" ], "communicationSkills" : "Explain complex things simply", "problemSolvingSkills" : "Spotting problems; Figuring out solutions; Troubleshooting data", "qualificationsBasic" : "3+ years in Sales Operations, 3+ years in Revenue Operations, Working knowledge of Salesforce, Comfortable with data, Ability to tell a clear story from data", "qualificationsPreferred" : "Experience with Looker, Experience with Snowflake, Experience writing SQL, Experience working hands-on with data visualization tools, Led cross-functional projects, Worked at a startup, Worked at a fast-growing company, Bachelor's degree in Business, Bachelor's degree in Finance, Bachelor's degree in Analytics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Engine At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 30,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. About the Role We are seeking a Supply Sales Operations Manager to join our team. This role sits at the center of strategy and day-to-day execution — you’ll work closely with sales leadership to build the processes, tools, and reporting that keep our team focused on what matters most. This is a hands-on role. You’ll spend time in the details cleaning up data, building reports, fixing broken workflows and also zoom out to help leadership make smarter decisions about how the team is structured and where to invest. This position requires strong business partnering skills, financial and business reporting, planning, and process design and implementation. If you love making things work better and can move between big-picture thinking and tactical execution, this role is for you. What You'll Do Build and improve how our sales team operates Map out how deals get done today, find what’s slowing the team down, and fix it Create clear, repeatable processes so the team isn’t reinventing the wheel every quarter Partner with sales leadership to make sure new processes actually get adopted and stick Own forecasting and performance reporting Run the weekly and monthly rhythm of pipeline reviews and forecasting so leadership always has a clear picture of where we stand Build dashboards and reports that show how accounts and reps are performing against targets Spot trends in the data early — opportunities the team should go after, or risks that need attention Manage how we divide up accounts and pay our team Help decide which reps own which accounts and markets, making sure the workload is balanced and the right people are focused on the right opportunities Support the design and maintenance of sales compensation plans that motivate the team and reward the right behaviors Keep our tools and data accurate Own the health of our Salesforce CRM — making sure account ownership, record types, and data are clean and up to date Work with our data team to make sure what’s in our reporting systems actually reflects what’s happening in the business Be the go-to person when something looks off in our tools or data — find it, flag it, and fix it Lead projects that move the business forward Take on special initiatives — from new market analysis to building a business case for a strategic change — and see them through from idea to impact Help with planning cycles like goal-setting and headcount modeling Connect the dots between sales, finance, data, and product teams so everyone is working from the same playbook What We're Looking For 3+ years in Sales Operations, Revenue Operations, or a similar role where you owned real processes and outcomes — not just supported them Strong working knowledge of Salesforce — you know how to build reports, manage records, and set up workflows without needing a lot of hand-holding You’re comfortable with data and can tell a clear story from a spreadsheet or dashboard — experience with tools like Looker or Snowflake is a plus Great communicator who can work across teams and explain complex things simply — to a sales rep or to a VP You don’t wait to be told what to do — you spot the problem, figure out the solution, and get it done Comfortable in a fast-moving company where priorities shift and the job description doesn’t cover everything you’ll end up doing Nice to Haves Experience writing SQL or working hands-on with data visualization tools You’ve led cross-functional projects end to end and have the scars to prove it You’ve worked at a startup or fast-growing company before Bachelor’s degree in Business, Finance, Analytics, or a related field Why This Role Real ownership — the work you do directly affects how productive and successful our sales team is A seat at the table — you’ll be a trusted partner to supply sales leadership, not just a support function Variety — no two weeks look the same; you’ll work across strategy, systems, data, and people Room to grow — strong performance here opens doors to broader scope and leadership over time #LI-MH1 Applications for this role will be accepted through October 15th, 2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $87,805—$121,500 USD The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits: Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. Benefits: Check out our full list at engine.com/culture. Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed. Perks and benefits may vary based on employment type, location, and more. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.", "summaryDescription" : "Supply Sales Operations Manager at Engine. Skills: Sales Operations, Revenue Operations, Salesforce CRM, Data Analysis. Build sales team operations. Improve sales team operations", "postedDate" : "2026-06-16T03:17:20.789", "createdAt" : "2026-06-16T03:17:20.789", "lastUpdated" : "2026-06-16T10:16:50.313", "ingestTimestamp" : "2026-06-16T03:17:20.789", "mongoId" : "6a309d62f292fd229c103000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87805, "salaryAnnualMax" : 121500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data cleaning", "Report building", "Workflow fixing", "Pipeline reviews", "Forecasting rhythm", "Dashboard building", "Account management", "Compensation plan design", "Data accuracy", "CRM health management", "Record types", "Data quality", "Goal setting", "Headcount modeling", "Sales Operations", "Revenue Operations", "Salesforce CRM", "Data Analysis", "Business partnering", "Financial reporting", "Business reporting", "Process design", "Process implementation", "Forecasting", "Performance reporting", "Data analysis", "Market analysis", "Business case development", "Cross-functional projects", "Business travel", "Spend management", "Fintech platforms" ], "skillCount" : 32, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 377.16254, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42af8b1b0376634c695", "title" : "Data Center Operations Trainee", "company" : "Amazon Japan G. K.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 4500000.0, "max" : 6000000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Center Operations Trainee in Tokyo, Japan, adjusted for the technology industry and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T04:57:34.727", "fingerprint" : "a0f17c745a358dc0515d5c8290f6c5b9063d4143636285f7297703419dc6a5d8", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.com/jobs/3076759/apply", "externalId" : "15aee2a0-ee76-4282-b1b2-733844c41245", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "IT hardware, Network components", "professionalSkills" : [ "Systems operation", "Hardware lifecycle management", "Problem resolution", "Metric analysis", "Process improvement" ], "hardSkillsList" : [ "Hardware troubleshooting", "Technical issue resolution", "Root cause analysis" ], "hardSkills" : [ { "name" : "Hardware troubleshooting", "level" : "intermediate" }, { "name" : "Technical issue resolution", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Data center operations, IT infrastructure maintenance", "majorSkillsList" : [ "Data center operations", "IT infrastructure maintenance" ], "coreResponsibilities" : "Maintain data center infrastructure, Install server racks, Remove server racks, Repair IT hardware, Repair network components, Respond to emergent situations, Resolve problems, Perform on-call duties, Participate in Data Center operations, Handle scheduled maintenance, Handle change management activities, Monitor data center infrastructure, Participate in team meetings, Achieve daily goals, Achieve weekly goals, Understand policies, Understand procedures, Apply knowledge, Contribute to documentation, Contribute to process improvement", "teamCollaboration" : "Operations team; AWS departments; Diverse team", "domainKnowledge" : "Data center maintenance; IT infrastructure; Server management; Network management; Supply chain", "domainList" : [ "data-center-maintenance", "it-infrastructure", "server-management", "network-management", "supply-chain" ], "domainSpecificKnowledge" : [ "Data center maintenance", "IT infrastructure", "Server management", "Network management", "Supply chain" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Training provided; Knowledge sharing; Mentorship", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Systematic problem resolution; Troubleshooting", "specialRequirements" : "On-call duties, Non-standard hours", "outcomesObjectives" : "Meet customer service level agreements", "qualificationsBasic" : "Desire to learn, Work non-standard hours, 10 hour shift, 4 days work shifts, 3 days off", "qualificationsPreferred" : "1+ year IT experience, Networking experience, Server experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS インフラストラクチャサービス (AIS) AWS インフラストラクチャサービスは、AWS のグローバルインフラストラクチャ全体の設計、計画、提供、運用を担当しています。つまり、クラウドを安定的に稼働させ続けるのが私たちの役割です。AWS のデータセンター、サーバー、ストレージ、ネットワーク、電力、冷却装置など、すべてのインフラを包括的にサポートし、お客様が必要とするイノベーションへの継続的なアクセスを確保しています。私たちは、サプライチェーンに影響を及ぼす数千もの変数を含む複雑な課題に日々取り組んでおり、この挑戦に共に立ち向かう優秀な人材を求めています。 AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. ソフトウェア、ハードウェア、ネットワークエンジニア、サプライチェーンスペシャリスト、セキュリティエキスパート、運用マネージャーなど、多様な専門性を持つチームの一員として活躍していただきます。AWSの各部門と緊密に連携し、最高水準の安全性とセキュリティを確保しながら、お客様に低コストで無限に近い処理能力を提供します。さらに、革新的なアイデアを積極的に取り入れ、それを実現まで導くインクルーシブな企業文化を体験できる環境です。 You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. アマゾンウェブサービス (AWS) は急速な成長を続けており、拡大するインフラストラクチャ運用チームの一員として、データセンターエンジニアを募集しています。 Amazon Web Services (AWS) is growing rapidly, and we are looking for a Data Center Engineer to join our expanding Infrastructure Operations team. データセンター運営部門では、世界最大規模のコンピューティングインフラストラクチャの設計、構築、および保守管理を担当しています。具体的な業務には、システムの運用管理、障害対応・修理、部品の在庫管理・追跡、そしてデータセンター施設全般の保守業務が含まれます。Amazonのデータセンターは、大規模かつ高密度な施設として運営され、地域のテクノロジー革新を牽引する役割を果たしています。 Data Center Operations designs, installs, and maintains the world’s largest Computing Infrastructure. Our scope of work includes systems, repairing, dealing with issues, handling and tracking parts and assisting in Data Center maintenance. Amazon Data Centers are large-scale high-density centers where you will help change the face of Technology in the region. 研修修了時には、学習成果に基づく評価が行われ、成長を続けるアマゾンのチームの一員として、正社員になるための適性があるかどうかが判断されます。 By the end of the program, you will be assessed on your learnings to see if you have what it takes to join our growing team and be a full time Amazonian. Key job responsibilities In this role as a Data Center Engineer, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes: 主な職務責任データセンターエンジニアとしてのこの役割では、ITインフラストラクチャのハードウェアライフサイクルのオンサイト管理を担当します。これには以下が含まれます。 ● Working as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure. ● Your role and responsibilities include, but are not limited to, installing server racks, removing server racks, fixing various IT hardware and network components, and also responding to emergent situations that affect operations. ● Meet customer service level agreements by resolving problems, and be the first line touch point for hardware troubleshooting and technical issues. ● Perform on-call duties and participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure. ● Participate in team meetings for metric analysis and to discuss achieving daily/weekly goals. ● Have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge. ● Contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment. ● More experienced engineers may assist in training less experienced members of the team. * オペレーションチームの一員として、データセンターインフラの保守・維持を主な責務とします。 * 業務内容には、サーバーラックの設置・撤去、各種ITハードウェアやネットワーク機器の修理、運用に影響を及ぼす緊急事態への対応などが含まれます。 * 顧客とのサービスレベル契約を遵守し、ハードウェアのトラブルシューティングや技術的課題に関する第一次対応窓口を担当します。 * オンコール対応を行い、データセンター運用に携わるとともに、定期メンテナンスや変更管理作業を通じてインフラの監視を実施します。 * メトリクス分析および日次・週次目標の進捗確認のためのチームミーティングに参加します。 * 部門内の安全性やセキュリティを含むポリシーと手順を理解し、適切に実践します。 * 運用上の問題に対する根本原因分析を通じて技術文書の作成に携わり、データセンター環境の改善施策に貢献します。 * 経験豊富なエンジニアは、必要に応じて経験の浅いチームメンバーの指導を行います。 A day in the life ● You will support Data Center infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.) ● You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including installing and removing server racks and fixing server hardware. ● You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure. ● Show a strong aptitude for troubleshooting and problem solving. ● You will be involved with site management and maintain tidiness in operation areas. ● Work in a rotating shift with a team of other engineers. Your standard shift hours are 10 hours with a one hour break. You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 22:45-08:15. 1日の業務内容 * データセンターのインフラ機器（ラック、サーバー、ネットワーク機器、ハードウェア部品、ケーブル等）の保守管理を行います。 * チケットシステムに基づき、サーバーラックの設置・撤去やサーバーハードウェアの修理など、ハードウェアや部品の日常的な運用作業を体系的に実施します。 * オンコール対応を含め、データセンターの運用に携わり、定期メンテナンスや変更管理作業におけるインフラ監視を行います。 * 高度なトラブルシューティングと問題解決能力を発揮します。 * サイト管理に参画し、運用エリアの5S（整理・整頓・清掃・清潔・躾）を徹底します。 * 他のエンジニアチームと交代制シフトで勤務します。シフトは1日10時間（休憩1時間含む）、週4日勤務・週3日休みの体制です。勤務時間帯は8:00～18:00、12:00～22:00、22:45～08:15のいずれかとなります。 About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. チームについて多様な経験 Amazonは多様な経験を持つ人材を求めています。募集要項に記載された資格やスキルをすべて満たしていなくても、ぜひご応募ください。新卒の方や、一般的なキャリアパスとは異なる経験をお持ちの方も、どうぞお気軽にご応募ください。 Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS が選ばれる理由 Amazon Web Services (AWS) は、世界で最も包括的で広く採用されているクラウドプラットフォームです。私たちはクラウドコンピューティングのパイオニアとして、絶え間ない革新を続けています。そのため、急成長するスタートアップ企業からGlobal 500企業まで、多くのお客様が私たちの信頼性の高い製品とサービス群を活用してビジネスを展開しています。 Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. ワークライフバランス当社はワークライフバランスを重視しています。仕事での成功のために、家庭生活を犠牲にする必要はないと考えています。そのため、当社では柔軟な働き方を企業文化の一つとして推進しています。職場と家庭の両面でサポートを受けることで、社員一人一人が最大限の力を発揮できると信じています。 Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. インクルーシブなチーム文化 AWSでは、学びと好奇心が私たちの本質となっています。従業員主導のアフィニティグループを通じて、多様性を誇りとする包括的な文化を育んでいます。人種と民族に関する対話（CORE）やジェンダーの多様性を考えるAmazeConカンファレンスなど、様々なイベントや学習機会を通じて、私たちは互いの個性を尊重し続けています。 Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. メンターシップとキャリアの成長当社は、世界最高の雇用主となることを目指し、常にパフォーマンス基準の向上に努めています。そのために、知識の共有やメンターシップをはじめ、キャリア向上に役立つ様々なリソースを豊富に提供し、社員一人一人がバランスの取れたプロフェッショナルへと成長できるよう支援しています。 Basic Qualifications: ● No experience in data centers is necessary, only a desire to learn. We provide all of the training. ● Ability to work non-standard hours such as 10 hour shift with 1 hour break (You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 21:45-08:15. 基本的な応募資格 ● データセンターでの経験は不問です。学ぶ意欲のある方を歓迎します。必要な研修は全て当社で実施いたします。 ● 変則的な勤務時間に対応可能な方（10時間勤務・1時間休憩、週4日勤務・週3日休み）勤務シフト：8:00～18:00、12:00～22:00、21:45～08:15 Preferred Qualifications: ● 1+ year of networking, server, other IT experience. 望ましい資格 ● IT分野（ネットワーク、サーバー管理など）での実務経験が1年以上ある方 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.", "summaryDescription" : "Data Center Operations Trainee at Amazon Japan G. K.. Skills: Data center operations, IT infrastructure maintenance. Maintain data center infrastructure. Install server racks", "postedDate" : "2026-06-14T06:37:43.025", "createdAt" : "2026-06-14T06:37:43.025", "lastUpdated" : "2026-06-15T04:57:34.727", "ingestTimestamp" : "2026-06-14T06:37:43.025", "mongoId" : "68c2e42af8b1b0376634c695", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076759/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Hardware troubleshooting", "Technical issue resolution", "Root cause analysis", "Data center operations", "IT infrastructure maintenance", "Systems operation", "Hardware lifecycle management", "Problem resolution", "Metric analysis", "Process improvement", "Data center maintenance", "IT infrastructure", "Server management", "Network management", "Supply chain" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 374.51373, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3074c8f292fd229c00949c", "title" : "Support Operations Data Analyst", "company" : "Harvey", "industry" : "User Operations", "salary" : { "min" : 112000.0, "max" : 168000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York", "locations" : [ "New York" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:07:52.715", "fingerprint" : "e86340a7f1f008fb08f358eba99362f8cbb1cbcd3cf6923750b200c59b343674", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/f8857e81-4062-4669-a7e3-7b73b114979b/application", "externalId" : "f8857e81-4062-4669-a7e3-7b73b114979b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "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", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Data warehousing", "ETL processes", "Data visualization", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "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 maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy ML models, Collaborate with stakeholders, Ensure data quality and integrity, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "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" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Data-driven decision making; Troubleshooting", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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"Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 373.4759, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3055f1f292fd229cf23389", "title" : "Support and Data Operations Associate (Fixed-term)", "company" : "Foursquare", "industry" : "Finance", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Support and Data Operations Associate in Belgrade, Serbia, adjusted for the technology industry and company size." }, "location" : "Serbia", "locations" : [ "Serbia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:56:17.647", "fingerprint" : "aaf5559b6dd261874f5f77a1afd61a6fd75d245824898322671fec42e45798b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foursquare/b98303fd-481a-4f08-9feb-451f7c9b179e/application", "externalId" : "b98303fd-481a-4f08-9feb-451f7c9b179e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belgrade", "country" : "Serbia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "44.8153318,20.4456588" } ], "locationText" : "Belgrade, Serbia", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "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" }, { "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, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, 5+ years of 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" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Foursquare Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands. But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact – both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges – whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here. About the Position Foursquare is looking for a Support and Data Operations Associate to join our team in our Belgrade office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office. We are looking for an inquisitive, adaptable, and highly motivated Data Support Associate to join our team. In this role, you will be primarily focused on executing web crawls, manipulating data, and utilizing internal pipeline tools to ensure data quality and availability. This is an internally focused, highly technical role where persistence, vigilance, and the ability to learn and iterate quickly are essential. If you enjoy solving technical puzzles, building and maintaining data flows, and continuously learning new skills, we want you on our team! Please note that this is a fixed-term position for an initial period of one year, with the possibility of extension. In this role, you’ll - Web Crawling & Extraction: Execute and manage web crawling initiatives, extracting data, and adapting quickly when target site structures change. - Data Manipulation & Pipelines: Utilize internal tools to perform data cleanup, matching, and transformations to ensure high data quality and reliability. - Technical Troubleshooting: Be vigilant in monitoring data pipelines; investigate issues, read and interpret log files, implement workarounds, and escalate complex technical problems. - Continuous Improvement: Learn and adapt to new internal tools and technical processes rapidly, iterating on existing workflows to improve efficiency. - Documentation: Create and maintain technical process documentation and how-to guides to empower internal teams What you’ll need - Proficient level of written and verbal English - 1+ years of experience working in data-oriented customer operations, technical support, analytics, or similar roles. - Proficiency in Python or Scala, with strong SQL skills. - Proficiency in Regular Expressions (Regex) for pattern matching, data extraction, validation, and web content processing. - Familiarity with data analysis tools and libraries (e.g., PySpark, pandas), web crawling concepts and execution. - General technical troubleshooting skills: ability to read/interpret/transform log files, comfort navigating command-line interfaces (CLI) and APIs, and a strong capacity for independent research. - Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Benefits and Perks - 25 days of paid vacation – take the time you need to rest and recharge - Private medical insurance – comprehensive coverage for you and your family - FitPass – flexible access to gyms, wellness classes, and sports facilities across Serbia - Hybrid work schedule – in-person collaboration Tuesday–Thursday, with company-paid lunch on office days - Growth Investment Program – funding and resources to support your personal and professional development - Tech setup – we’ll provide a company laptop and the essentials to help you get up and running smoothly Things to Know Foursquare is proud to foster an inclusive environment, free from discrimination. We believe that building the best products starts with bringing together diverse perspectives and backgrounds — it’s how we create better experiences for both our users and our team. We value every voice, and we encourage you to be part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Foursquare Privacy Policy https://location.foursquare.com/legal/privacy-center/applicant/", "summaryDescription" : "Support and Data Operations Associate (Fixed-term) at Foursquare. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:29:26.610", "lastUpdated" : "2026-06-16T08:56:17.647", "ingestTimestamp" : "2026-06-16T00:29:26.610", "mongoId" : "6a3055f1f292fd229cf23389", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 372.3694, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3074c8f292fd229c00949a", "title" : "Support Operations Data Analyst", "company" : "Harvey", "industry" : "User Operations", "salary" : { "min" : 112000.0, "max" : 168000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T13:40:39.455", "fingerprint" : "6e5861a0ce04d60da6552f1bed0459f161a3df76a2846d35d41b05a337122c37", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/e69f2050-b4c0-4fbb-9852-2c60d2adbb45/application", "externalId" : "e69f2050-b4c0-4fbb-9852-2c60d2adbb45", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Dbt Cloud, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Athena, S3, Glue", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "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, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform statistical analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks; Modelling skills", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks", "modelling-skills" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, 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" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:25:42.801", "lastUpdated" : "2026-06-16T08:05:04.381", "ingestTimestamp" : "2026-06-16T00:25:42.801", "mongoId" : "6a3074c8f292fd229c009499", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 168000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "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" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 369.80505, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a210e6a74d8ee00a0af7674", "title" : "Data Center Operations Manager", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Saint George, United States, adjusted for seniority and full-time employment." }, "location" : "[Saint George, S.C., USA, [St George, SC 29477, USA], Saint George, 29477, SC, US]", "locations" : [ "[Saint George, S.C., USA, [St George, SC 29477, USA], Saint George, 29477, SC, US]" ], "timestamp" : "2026-06-16T11:33:50.033", "fingerprint" : "b6b3ceb2c861a1037665b40a37556a5ae46d4ed1e5b848daa45a0ad09c4c28b4", "source" : "google", "language" : "en", "externalId" : "114049746942730950", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint George", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1859958,-80.5756534" } ], "locationText" : "Saint George, South Carolina, United States", "experienceLevel" : "Manager", "technicalSkills" : "DCIM tools", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data center operations", "Infrastructure management", "Security protocols", "Cooling systems", "Power systems" ], "hardSkills" : [ { "name" : "Data center operations", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "Security protocols", "level" : "intermediate" }, { "name" : "Cooling systems", "level" : "intermediate" }, { "name" : "Power systems", "level" : "intermediate" } ], "majorSkills" : "Data center operations, Process management, Vendor management", "majorSkillsList" : [ "Data center operations", "Process management", "Vendor management" ], "coreResponsibilities" : "Manage daily data center operations, Oversee infrastructure maintenance, Ensure operational efficiency, Coordinate with cross-functional teams, Manage vendor relationships, Track operational metrics, Implement process improvements, Plan resource allocation", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder management", "domainKnowledge" : "Data center infrastructure; Operational metrics; Resource planning", "domainList" : [ "data-center-infrastructure", "operational-metrics", "resource-planning" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Operational metrics", "Resource planning" ], "toolProficiency" : [ "DCIM tools" ], "qualificationsBasic" : "5+ years of experience in data center operations", "qualificationsPreferred" : "Experience with data center infrastructure management (DCIM) tools, Knowledge of data center security protocols, Familiarity with data center cooling and power systems", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Center Operations Manager. Skills: Data center operations, Process management, Vendor management. Manage daily data center operations. Oversee infrastructure maintenance", "postedDate" : "2026-06-16T01:48:52.244", "createdAt" : "2026-06-16T01:48:52.244", "lastUpdated" : "2026-06-16T11:33:50.033", "ingestTimestamp" : "2026-06-16T01:48:52.244", "mongoId" : "6a210e6a74d8ee00a0af7674", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data center operations", "Infrastructure management", "Security protocols", "Cooling systems", "Power systems", "Process management", "Vendor management", "Cross-functional coordination", "Stakeholder management", "Resource planning", "Continuous improvement", "Data center infrastructure", "Operational metrics", "DCIM tools" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 367.5415, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f1674d8ee00a08e8e7c", "title" : "E-commerce Management Trainee", "company" : "Reolink", "industry" : "Technology", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level E-commerce Management Trainee in Singapore, adjusted for industry and company size." }, "location" : "31 Kaki Bukit Road 3 , Techlink 06-02 , Singapore 417818 (Take Lift B)", "locations" : [ "31 Kaki Bukit Road 3", "Techlink 06-02", "Singapore 417818 (Take Lift B)" ], "timestamp" : "2026-06-15T00:29:50.820", "fingerprint" : "11ae8f22c8ab0cf70d7d18d844651dafd943c3e3f3686999c3aff92232d2d09c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/reolink/jobs/4201913009", "externalId" : "4201913009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "E-commerce operations", "Marketing campaign planning", "Sales data analysis", "User analysis", "Market analysis" ], "hardSkillsList" : [ "Data analysis", "Market analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Market analysis", "level" : "intermediate" } ], "majorSkills" : "E-commerce operations, Marketing, Data analysis", "majorSkillsList" : [ "E-commerce operations", "Marketing", "Data analysis" ], "coreResponsibilities" : "Support daily operations on e-commerce platforms, Take ownership of specific modules, Participate in marketing campaign planning, Participate in marketing campaign execution, Monitor campaign data, Monitor sales data, Analyze campaign data, Analyze sales data, Provide insights for improvement, Conduct basic user analysis, Conduct market analysis", "domainKnowledge" : "E-commerce platforms; Digital business", "domainList" : [ "e-commerce-platforms", "digital-business" ], "domainSpecificKnowledge" : [ "E-commerce platforms", "Digital business" ], "continuousLearning" : "Structured 1-year training; Mentorship support", "problemSolvingSkills" : "Analytical thinking; Data sensitivity", "qualificationsBasic" : "Bachelor's degree, Interest in e-commerce, Interest in marketing, Interest in digital business, Good analytical thinking, Good data sensitivity, Proactive, Fast learner, Willing to take ownership", "workSiteFlexibility" : "Onsite", "rawDescription" : "Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Overview A 12-month structured program designed for fresh graduates to develop skills in e-commerce operations, marketing, and data analysis. Job Responsibilities  Support daily operations on e-commerce platforms and gradually take ownership of specific modules  Participate in marketing campaign planning and execution, including key sales events  Monitor and analyze campaign and sales data, provide insights for improvement  Conduct basic user and market analysis to support business decisions Job Requirements  Bachelor’s degree, fresh graduates are welcome  Strong interest in e-commerce, marketing, or digital business  Good analytical thinking and data sensitivity  Proactive, fast learner, and willing to take ownership Why Join Us  Structured 1-year training  Hands-on exposure to real campaigns and business impact  End-to-end learning across e-commerce operations and marketing  Mentorship support with clear career progression", "summaryDescription" : "E-commerce Management Trainee at Reolink. Skills: E-commerce operations, Marketing, Data analysis. Support daily operations on e-commerce platforms. Take ownership of specific modules", "postedDate" : "2026-06-12T22:25:02.999", "createdAt" : "2026-06-12T22:25:02.999", "lastUpdated" : "2026-06-15T00:29:50.820", "ingestTimestamp" : "2026-06-12T22:25:02.999", "mongoId" : "6a2c5f1674d8ee00a08e8e7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Market analysis", "E-commerce operations", "Marketing", "Marketing campaign planning", "Sales data analysis", "User analysis", "E-commerce platforms", "Digital business" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "sales-&-marketing", "dataQualityScore" : 0.8888889, "_score" : 367.45108, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69f46f044c40e2acd1b36890", "title" : "Data Center Operations Manager", "company" : "Amazon Data Services Japan G. 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You and your team provide 24/7 frontline support, act as first responders to incidents, and support the development and implementation of improvements to maintenance procedures and practices. Data Center Managers must be effective people leaders able to hire, grow, and evaluate talent on an ongoing basis to meet business needs in a rapidly evolving technical environment. You must be able to work independently to manage your team effectively and be able to determine when it is necessary to escalate challenges. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to being successful. Key job responsibilities Safety, Security & Availability • Create and maintain safe work environment • Drive understanding and adherence to technical standards • Ensure immediate remediation when standards aren't met • Lead emergency response preparation and execution • Manage proper escalation processes • Deliver capacity aligned with customer needs People Development & Process Improvement • Develop professional data center skills across team • Executing performance evaluations • Provide coaching and managing performance • Establish clear career paths and promotion opportunities • Lead innovations to reduce costs and risks • Drive sharing of operational improvements • Implement process standardization and optimization Leadership & Execution • Lead and develop a team of data center technicians • Prioritize, assign, and review repair work to meet customer SLAs • Drive operational excellence through established frameworks • Identify and mitigate risks with clear escalation paths • Document and maintain standard operating procedures • Collaborate with cross-functional teams and stakeholders A day in the life Your primary focus is leading a data center team that maintains critical infrastructure for cloud services. Morning starts with safety-focused team standups and site walks to connect with your technicians. You'll spend time mentoring team members, reviewing operational metrics, and collaborating with facilities, engineering, and vendor teams to ensure smooth operations. Beyond routine activities, you'll tackle interesting technical challenges - from capacity planning to emergency response. You might find yourself brainstorming process improvements with your team, participating in cross-site initiatives, or working with stakeholders to implement new technologies. Each day offers unique opportunities to develop your people while maintaining world-class infrastructure operations. About the team The Infrastructure Operations team handles the various physical layers for AWS data centers, including the infrastructure and on-site operations. We are a team of professionals and engineers, actively working in positions ranging from the installation, troubleshooting and maintenance of servers and network equipment, to facility operations, managing power and air-conditioning systems, to risk management, project management, security, logistics and inventory control. We are the team who keeps the data centers up and running 24/7, the backbone of AWS. Basic Qualifications: - Experience leading cross-functional teams to establish strong partnerships with demonstrable results - Speak, write, and read fluently in Japanese Preferred Qualifications: - Experience leading the design, automation, deployment, and support of large-scale infrastructure 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.", "summaryDescription" : "Data Center Operations Manager at Amazon Data Services Japan G. K.. Skills: People leadership, Process improvement, Operational excellence. Create safe work environment. 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Skills: Data engineering, Machine learning, Data warehousing. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:48:39.332", "createdAt" : "2026-06-16T01:48:39.332", "lastUpdated" : "2026-06-16T10:52:22.952", "ingestTimestamp" : "2026-06-16T01:48:39.332", "mongoId" : "6a210e6074d8ee00a0af72c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical modeling", "Machine learning", "A/B testing", "Causal inference", "Data engineering", "Data warehousing", "Data modeling", "ETL development", "System design", "Geo data operations", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 365.20364, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26da9", "title" : "Senior Accounting Analyst, Finance Operations Accounting and Analysis", "company" : "Amazon", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 2108.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bratislava, Bratislavský kraj, SVK", "locations" : [ "Bratislava, Bratislavský kraj, SVK" ], "certifications" : [ "CPA", "Chartered Accountant", "Six Sigma" ], "timestamp" : "2026-06-16T08:43:25.018", "fingerprint" : "f8635b785adfe3a1d104d895bfa095674864914ffc236e330bd49fb3a6ad84a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449268/apply", "externalId" : "191503a3-4c24-4dbe-b444-3ec4ecbf63bb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bratislava", "state" : "Bratislavský kraj", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Bratislavský kraj, Slovakia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Financial accounting", "Management reporting", "Process development", "Data analysis" ], "hardSkillsList" : [ "Account reconciliation", "Month end closing", "Balance sheet reconciliation", "Reporting activities" ], "hardSkills" : [ { "name" : "Account reconciliation", "level" : "intermediate" }, { "name" : "Month end closing", "level" : "intermediate" }, { "name" : "Balance sheet reconciliation", "level" : "intermediate" }, { "name" : "Reporting activities", "level" : "intermediate" } ], "majorSkills" : "Accounting, Finance, Reporting, Process automation", "majorSkillsList" : [ "Accounting", "Finance", "Reporting", "Process automation" ], "coreResponsibilities" : "Prepare Journal entries, Prepare account reconciliation, Prepare management reporting, Support financial accounting, Support reporting systems, Support procedures, Manage audit response, Ensure compliance with SOX, Resolve issues from reconciliation, Escalate issues from reconciliation, Follow up action plans, Participate in projects, Lead projects, Analyze data for financial analysis, Analyze data for reporting, Promote systems development, Promote process development, Promote AI tools", "teamCollaboration" : "Finance Operation peers; Central accounting", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "SOX; Accounting reconciliation", "domainList" : [ "sox", "accounting-reconciliation" ], "domainSpecificKnowledge" : [ "SOX", "Accounting reconciliation" ], "toolProficiency" : [ "Oracle R12" ], "continuousLearning" : "Career development", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "4+ years of Accounting/Finance/Operations experience, Bachelor degree in accounting or finance, AI experience and delivered process automation, Ability to solve problems independently", "qualificationsPreferred" : "Significant project management experience, CPA or Chartered Accountant equivalent, Six Sigma certification, Experience of Oracle R12, Desire to learn and grow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "1. Prepare Journal entries, account reconciliation and management reporting for Amazon legal entities; 2. Support the Management in all aspects of financial accounting, reporting systems, procedures and policies; 3. On the audit front, the analysts will manage department’s response to internal and external audit requirements and will also ensure compliance with SOX and policy requirements; 4. Work with finance Operation peers / Central accounting to resolve and escalate issues noted from accounting reconciliation and follow up the action plan to ensure the issue is entirely fixed; 5. Participate/lead projects that contribute to the team's overall efficiency; 6. Analyze data provided by variant tools and systems for internally financial analysis, reporting and documentation; 7. Play an important role in promoting systems/process development and AI tools to ensure ongoing efficiency and control improvements; 8. Other ad hoc tasks assigned. Basic Qualifications: - Ability to solve problems independently in an ambiguous and fast paced environment - Relevant experience in Month end closing of Books of accounts / working on Balance sheet Reconciliation & Reporting activities/ Accounting Knowledge - Bachelor degree in accounting or finance or above - AI experience and delivered the process automation or simplification in production - Goal driven, result orientated, self-motivated, able to step back and look at the bigger picture - 4+ years of Accounting/Finance/Operations experience - Base pay for this position starts from EUR 2108+ gross per month and salary depends on the skills and requirements, there will be further pay components such as a sign on bonus and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Company benefits apply subject to further terms, including annual membership in medical clinic, life insurance, retirement pension, meal voucher card, career development. Preferred Qualifications: - Significant experience of project management & analysis within a fast paced multitasking driven - CPA or Chartered Accountant equivalent certificate is preferred. - Strong desire to learn and grow - Six Sigma certification. - Experience of Oracle R12 is preferred. Hands on experience on accounting & reconciliation process Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Senior Accounting Analyst, Finance Operations Accounting and Analysis at Amazon. Skills: Accounting, Finance, Reporting, Process automation. Prepare Journal entries. 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Data Center teams", "domainKnowledge" : "Data Center operations; Mechanical systems; Electrical systems; Fire Suppression Systems; UPS systems; Generator systems; Battery systems; Cooling towers; Chillers; CRAC/CRAHs/AHUs; Piping systems; Duct systems", "domainList" : [ "data-center-operations", "mechanical-systems", "electrical-systems", "fire-suppression-systems", "ups-systems", "generator-systems", "battery-systems", "cooling-towers", "chillers", "crac-crahs-ahus", "piping-systems", "duct-systems" ], "domainSpecificKnowledge" : [ "Data Center operations", "Mechanical systems", "Electrical systems", "Fire Suppression Systems", "UPS systems", "Generator systems", "Battery systems", "Cooling towers", "Chillers", "CRAC/CRAHs/AHUs", "Piping systems", "Duct systems" ], "toolProficiency" : [ "Microsoft Office", "Outlook", "Word", "Excel" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "24x7 on-call, Scheduled weekend work support, Rotational shift", "qualificationsBasic" : "4+ years relevant work in data center or critical environment, Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field, Experience with Microsoft Office including Outlook, Word, and Excel", "qualificationsPreferred" : "4+ years data center or mission critical facilities experience, Knowledge of electrical systems in critical Data Center operations, Knowledge of mechanical systems in critical Data Center operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon is expanding the Data Center management team in India. This position within Amazon Data Services India Private Limited (ADSIPL) requires broad Data Center knowledge with Subject Matter Expertise (SME) in as many specific fields as possible. The location for this job to be discussed, as there may be opportunities in several India locations. This position serves as the primary operational resource to support ADSIPL within its owned and operated Data Centers in India. This position will provide a central point of ownership and accountability for the overall ‘hands-on’ management of the Mechanical, Electrical (M&E) and across ADSIPL’s portfolio of Data Centers in India. This position will be responsible for the overall operation and maintenance of the critical infrastructure supporting IT operations within the Indian Data Center space. It will also include event management, incident management, problem management, change management, and cost/contract management. In addition, this will include the relationship management with the landlords, critical facility vendors, Data Center Construction team, Data Center Operations team, Technical Program Managers, Security team, and Logistics team in India. The position will require 24x7 on-call, scheduled weekend work support and rotational shift. The location for this job to be discussed, as there may be opportunities in several India locations. Key job responsibilities Primary responsibilities and SME fields include, but are not limited to: Operations and Maintenance: · Ownership of all Data Center changes/events/incidents/problems from beginning to end as well as overseeing the completion of investigation, root cause analysis and follow-up resolution actions. · Responsible for ensuring maintenance/ repairs of a Data Center (Electrical/Mechanical/Fire Suppression Systems) are planned and executed to the best interest of the business. · Responsible for Asset and Inventory management. · Develop and maintain method statements, standard operating procedures, emergency response procedures, preventive maintenance programs, and all technical documentation. · Ensure standardization and consistency with best-in-class operating practices. (Technical Writing Skills and Automation) · Develop and deliver the regular engineering reports and ensure adherence to contracted deliverables including SLA’s and KPI’s. · Providing hands on facility support where required (e.g. installation of new equipment, decommissioning of equipment, replacement of faulty equipment, internal audits…etc.) · Oversee technical compliance auditing and the effective and timely close out of corrective action plans. Incident and Emergency Response: o Managing information flow during incidents while providing regular updates to management. o Reviewing incident reports, documenting periodic trend summaries, and providing updates and recommended actions to management. About the team You'll be working with highly technical Data Center teams including cross-functional ones looking after various aspects of a data center, in order to maintain 100% uptime for the customers. About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 4+ years of relevant work in a data center or other critical environment experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience with Microsoft Office including Outlook, Word, and Excel Preferred Qualifications: - 4+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience - Knowledge of electrical systems in critical Data Center operations that include but are not limited to utility substation feeds, transformers, switchgear, VFI Class UPS, DRUPS, PDUs, ATS, STS, SLA/VRLA batteries and associated systems, diesel/gas turbine generators and related fuel systems, Surge Suppression, Active Harmonic Filtering, battery monitoring systems, branch circuit monitoring systems or SCADA systems - Knowledge of mechanical systems in critical Data Center operations including but not limited to CRAC/CRAHs/AHUs, chillers, cooling towers, storage tanks, chemical systems, heat exchangers, piping systems, pumps, valves, duct systems, fans, or dampers 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.", "summaryDescription" : "Data Centre Engineering Operations Engineer, Data Centre Engineering Operations at ADSIPL. Skills: Data Center Operations, Critical infrastructure management, Mechanical Electrical (M&E). Manage data center changes/events/incidents/problems. 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"0e78cc5512d4e6eb0ef1a07b6c5ad4e25775f3487636c6b320ae3f47c975a178", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198933/apply", "externalId" : "15adf111-0930-4a03-860e-e0f4e2011af3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generators, Switchgear, UPS systems, PDUs, Chillers, Cooling towers, Air handlers, Building automation systems", "professionalSkills" : [ "Risk management", "Infrastructure maintenance", "Performance reporting", "Root cause analysis", "Capacity planning" ], "hardSkillsList" : [ "Electrical troubleshooting", "Mechanical troubleshooting", "Fire/life safety troubleshooting" ], "hardSkills" : [ { "name" : "Electrical troubleshooting", "level" : "intermediate" }, { "name" : "Mechanical troubleshooting", "level" : "intermediate" }, { "name" : "Fire/life safety troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Critical infrastructure operations, Vendor management, Root cause analysis, Continuous improvement", "majorSkillsList" : [ "Critical infrastructure operations", "Vendor management", "Root cause analysis", "Continuous improvement" ], "coreResponsibilities" : "Ensure electrical, mechanical, and fire/life safety equipment operates, Optimize efficiency and reduce operational costs, Manage contractors, sub-contractors, and vendors, Ensure compliance with established practices, procedures, and local, Conduct root cause analysis for operational issues, Implement corrective actions, Establish performance benchmarks, Prepare comprehensive reports on facility infrastructure operations, Collaborate with DCO managers, business leaders, and partners, Coordinate projects, Manage capacity, Optimize safety, performance, reliability, and sustainability, Support rack installation with proper power and cooling, Implement preventative and corrective maintenance programs, Develop metrics and dashboards for facility performance monitoring, Ensure compliance with safety standards and environmental regulations, Lead continuous improvement initiatives, Achieve operational excellence and uptime targets, Troubleshoot facility and rack-level events within SLAs, Serve as technical escalation point for complex electrical, Execute rack installations, decommissioning, and facility modifications, Monitor critical infrastructure through building automation systems, Provide real-time operational readings and KPIs, Maintain 99.999% uptime targets, Manage on-site contractors, Collaborate with DCO managers and field engineers, Perform preventive and corrective maintenance on electrical and, Conduct root cause analysis, Implement corrective actions", "teamCollaboration" : "DCO managers; Business leaders; Partners; Field engineers", "domainKnowledge" : "Data center operations; Critical environments; Electrical systems; Mechanical systems; Fire/life safety systems; Building automation systems", "domainList" : [ "data-center-operations", "critical-environments", "electrical-systems", "mechanical-systems", "fire-life-safety-systems", "building-automation-systems" ], "domainSpecificKnowledge" : [ "Data center operations", "Critical environments", "Electrical systems", "Mechanical systems", "Fire/life safety systems", "Building automation systems" ], "toolProficiency" : [ "Microsoft Office", "Outlook", "Word", "Excel" ], "innovationCreativity" : "Drive innovation to optimize efficiency", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Rotating schedules, On-call responsibilities, Shifts up to 12 hours", "outcomesObjectives" : "Achieve operational excellence; Maintain 99.999% uptime targets", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field, Experience with Microsoft Office including Outlook, Word, and Excel, 5+ years of relevant work in data center or other critical environment experience, 5+ years of experience in data center engineering/operations, Vendor management experience", "qualificationsPreferred" : "5+ years of construction or project management experience, Electrical or mechanical Journeyman License, Operating engineering license such as DC II, DC III, or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure—solving complex challenges with thousands of variables that impact how businesses access and rely on AWS. Keep the cloud running and help millions innovate. You'll ensure data centers operate flawlessly, managing servers, storage, networking, power, and cooling equipment that keep AWS available 24/7—the foundation enabling continuous customer innovation. Join a diverse team of operations engineers engineers, hardware specialists, network engineers, supply chain experts and security professionals collaborating across AWS. You'll deliver the highest safety and security standards while driving down costs and scaling capacity. We foster an inclusive culture where bold ideas are welcomed and you own projects to completion. Ready to tackle challenging problems at massive scale with talented, passionate people? This is your opportunity. Key job responsibilities The Data Center Engineering Operations Engineer ensures all electrical, mechanical, and fire/life safety equipment operates within contracted parameters while driving innovation to optimize efficiency and reduce operational costs. This role encompasses risk management, infrastructure maintenance, vendor management, performance reporting, and root cause analysis. • Serving as technical subject matter expert for hands-on troubleshooting of critical infrastructure including generators, switchgear, UPS systems, PDUs, chillers, cooling towers, air handlers, and building automation systems • Managing contractors, sub-contractors, and vendors to ensure compliance with established practices, procedures, and local legislation • Conducting root cause analysis for operational issues and implementing corrective actions • Establishing performance benchmarks and preparing comprehensive reports on facility infrastructure operations • Collaborating with DCO managers, business leaders, and partners to coordinate projects, manage capacity, and optimize safety, performance, reliability, and sustainability • Supporting rack installation with proper power and cooling provisioning • Implementing preventative and corrective maintenance programs for critical infrastructure • Developing metrics and dashboards for facility performance monitoring • Ensuring compliance with safety standards and environmental regulations • Leading continuous improvement initiatives to achieve operational excellence and uptime targets. A day in the life You'll be the technical expert ensuring 24/7 uptime of critical infrastructure powering AWS services globally. • Troubleshoot facility and rack-level events within SLAs, serving as technical escalation point for complex electrical and mechanical issues. • Execute rack installations, decommissioning, and facility modifications with proper power and cooling provisioning. • Monitor critical infrastructure through building automation systems, providing real-time operational readings and KPIs to maintain 99.999% uptime targets. • Manage on-site contractors ensuring compliance with safety practices. • Collaborate with DCO managers and field engineers on capacity planning and incident response. • Perform preventive and corrective maintenance on electrical and mechanical systems. • Conduct root cause analysis and implement corrective actions. • Work schedule varies—shifts up to 12 hours with rotating schedules and on-call responsibilities About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience with Microsoft Office including Outlook, Word, and Excel - 5+ years of relevant work in a data center or other critical environment experience - 5+ years of experience in data center engineering/operations, including work in data centers or other critical environments and vendor management. Preferred Qualifications: - 5+ years of construction or project management experience - Electrical or mechanical Journeyman License - operating engineering license such as DC II, DC III, or equivalent 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.", "summaryDescription" : "Data Center Engineering Operations at ADSIPL. Skills: Critical infrastructure operations, Vendor management, Root cause analysis, Continuous improvement. Ensure electrical, mechanical, and fire/life safety equipment operates. Optimize efficiency and reduce operational costs", "postedDate" : "2026-06-14T19:21:57.905", "createdAt" : "2026-06-14T19:21:57.905", "lastUpdated" : "2026-06-16T03:18:21.109", "ingestTimestamp" : "2026-06-14T19:21:57.905", "mongoId" : "69c94a889bc74574cbbb5198", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198933/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electrical troubleshooting", "Mechanical troubleshooting", "Fire/life safety troubleshooting", "Critical infrastructure operations", "Vendor management", "Root cause analysis", "Continuous improvement", "Risk management", "Infrastructure maintenance", "Performance reporting", "Capacity planning", "Data center operations", "Critical environments", "Electrical systems", "Mechanical systems", "Fire/life safety systems", "Building automation systems", "Electrical Journeyman License", "Mechanical Journeyman License", "DC II", "DC III", "Microsoft Office", "Outlook", "Word", "Excel" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 360.19736, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305dbff292fd229cf69ed3", "title" : "Senior Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 1300000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Operations Analyst in Vadodara, India, adjusted for mid-seniority and the market research industry." }, "location" : "Vadodara, GJ, IN", "locations" : [ "Vadodara", "GJ", "IN" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:12:06.451", "fingerprint" : "7061ebff2f3cf3dee0f209c354d1122927f203b3f1f28af11d5e34592708d6fb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132155256-senior-data-operations-analyst-so", "externalId" : "744000132155256", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vadodara", "state" : "Gujarat", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2973142,73.1942567" } ], "locationText" : "Vadodara, Gujarat, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "Business intelligence" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL processes, Create and manage data warehouses, Develop machine learning models, Perform statistical analysis, Generate data visualizations, Build business intelligence dashboards, Collaborate with stakeholders, Ensure data quality and integrity, Troubleshoot data issues, Document data processes", "teamCollaboration" : "Cross-functional teams; Data scientists; Data engineers; Business analysts; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "AWS", "GCP", "Azure" ], "documentationSkills" : "Document data processes", "problemSolvingSkills" : "Troubleshoot data issues", "qualificationsBasic" : "Bachelor's degree, 2+ years of experience", "qualificationsPreferred" : "Master's degree, PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Acts as point-of contact between Operations and internal client services / clients to manage E2E operational queries and support to clients. Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables. Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders * Accountable for managing e2e NIQ’s Statistical Operations processes with a goal of delivering high quality and on-time data to clients according to SLAs for assigned countries. This would also include extensive data analysis using statistical/mathematical techniques. * Support addressing client queries related to Statistical Operations * Accountable for critical to quality decisions in Statistical Operations processes * Maintain two-way communication process with other teams * Responsible for the timely provision of data in the highest quality according to the agreed service level and requirements * Process defined reports, schedules and processes by adhering to defined procedures, delivery schedules, and SLAs * Team's KPI monitoring (quality and on time delivery) and being up to date with all processes related to assigned area * Contributing to the implementation of new standards and processes * Good knowledge of product portfolio in scope of at least one market/project * Daily work in a virtual and multicultural environment through cooperation with stakeholders and colleagues in order to delivering against the set objectives * Provide constructive input to Process Owners / Team Leads / Operations Manager to optimize and improve Operations effectiveness * Understand the relationship of assigned processes to both upstream and downstream processes to guarantee clean data is delivered by eliminating the need for re-work from any Operations team. ## Qualifications * Bachelor’s or Master’s Any Graduate (External) preference given to Statistics, Mathematics, Computer Science * Minimum experience of 2 years and above in NIQ Operations (For Internals) * Excellent organization skills, aptitude to work in team and meet deadlines * A high degree of accuracy, proactivity and attention to detail. * Project management aptitude (Decision making, critical path, task sequencing, problem solving, etc.) * Common business language knowledge (English): speaking and writing with fluency * Good in SQL and Excel. * Well-developed analytical skills and very good attention to details * Client communication skills * Proactivity attitude in recommending suitable solutions * Able to drive initiatives forward and deliver business results in a client focused manner * Ability to work effectively in a team to achieve goals together * Good understanding of end-to-end production process/stream knowledge * Very good understanding of the local market ## Additional Information This Role is at B3, Only level 2 and 3 can apply 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" : "Senior Data Operations Analyst at NielsenIQ. Skills: Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T09:38:38.000", "createdAt" : "2026-06-15T23:48:47.313", "lastUpdated" : "2026-06-16T08:12:06.451", "ingestTimestamp" : "2026-06-15T23:48:47.313", "mongoId" : "6a305dbff292fd229cf69ed3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data manipulation", "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "Database management", "Cloud computing", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "Business intelligence", "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", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 357.4446, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7bcd74d8ee00a094b177", "title" : "Data Operations Manager", "company" : "Verition Group LLC", "industry" : "FinTech", "salary" : { "min" : 170000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T22:09:27.810", "fingerprint" : "c4ac7f28c66e9866824da4eed1d658036e57e7d7d0b4113488b33d2c5b85a213", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.verition.com/open-positions?gh_jid=5161272007", "externalId" : "5161272007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "AWS, S3, Lambda, Cron, Event Bridge, Python, SQL, CI/CD, DevOps", "professionalSkills" : [ "Data operations", "Client management", "Demand management", "Access controls", "System architecture", "Pipeline architecture" ], "hardSkillsList" : [ "Data quality processing", "Pipeline monitoring", "IAM processes", "AD group usage", "AWS access points" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data quality processing", "level" : "intermediate" }, { "name" : "Pipeline monitoring", "level" : "intermediate" }, { "name" : "IAM processes", "level" : "intermediate" }, { "name" : "AD group usage", "level" : "intermediate" }, { "name" : "AWS access points", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data operations, AI enablement, Cloud platform management", "majorSkillsList" : [ "Data operations", "AI enablement", "Cloud platform management" ], "coreResponsibilities" : "Support Market Data platform in the cloud, Prepare datasets to enable AI, Cover Data Warehouse operations, Manage platform client requests, Build intake process, Monitor pipelines, Implement data quality processes, Assign SLA, Monitor SLA, Update users on changes, Coordinate with platform team engineers, Support on technical issues, Support on technical delays, Hire team, Manage team, Staff team with resources, Understand data usage, Manage new requests, Manage issues, Manage operations for Data Platform in cloud, Capture delays, Capture data issues, Capture data gaps, Communicate proactively, Align with Support, Operationalize intake process, Coordinate with vendor sourcing, Ensure onboardings, Ensure approval process, Track requests, Track priority, Enable users to access data, Understand IAM processes, Understand AD group usage, Understand AWS access points", "teamCollaboration" : "Head of Data Technology; Technology teams; Portfolio teams; Business teams; Platform team engineers; Stakeholders across technology; Stakeholders across investment; Stakeholders across operations", "projectManagementSkills" : [ "CI/CD pipelines", "DevOps practices" ], "domainKnowledge" : "Market data; Security master data; Corporate actions data; Portfolio Management; Trading; Risk; Ref Data; Operations; Financial services; Buy side; Multi Strat; Hedge Fund; AI use cases", "domainList" : [ "market-data", "security-master-data", "corporate-actions-data", "portfolio-management", "trading", "risk", "ref-data", "operations", "financial-services", "buy-side", "multi-strat", "hedge-fund", "ai-use-cases" ], "domainSpecificKnowledge" : [ "Market data", "Security master data", "Corporate actions data", "Portfolio Management", "Trading", "Risk", "Ref Data", "Operations", "Financial services", "Buy side", "Multi Strat", "Hedge Fund", "AI use cases" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Executive presentations; Technical documentation", "problemSolvingSkills" : "Problem-solving; Analytical mindset", "qualificationsBasic" : "10+ years of experience in a similar role, Financial services experience necessary, Buy side experience, Subject matter expertise in market data, Subject matter expertise in security master data, Subject matter expertise in corporate actions data, Experience building and leading data operations teams, Experience enabling data for AI use cases, Experience using AI to monitor and manage data quality, AWS cloud experience, Development and deployment process ownership experience, Experience managing large volumes of unstructured data, Python expertise, SQL expertise, System & Pipeline architecture understanding, Problem-solving and analytical mindset, Excellent communication skills, Ability to work in a fast-paced environment, Hiring and Management experience, Experience with CI/CD pipelines, Experience with DevOps practices", "qualificationsPreferred" : "Multi Strat/Hedge Fund Preferred, BI/Power BI integration experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. We are seeking an experienced Data Operations Lead/Manager to join our technology team who will be responsible for supporting data-driven decision-making as well as the datasets that will enable AI across our firm. The role will focus on building/leading a team to support our Market Data platform in the cloud, while preparing the datasets to enable AI for the business, and later expand into covering our new Data Warehouse once live. This role will cover platform client request management, an intake process build out, pipeline monitoring, data quality processes, SLA assignment/monitoring, updates to users on changes or new data, require coordination with the platform team engineers and support on technical issues/delays. The role requires prior experience in this function and an ability to work independently on projects and initiatives. Responsibilities: Hire & Manage Team: Work with Head of Data Technology to staff team with proper resources Client Management: Ability to speak with Technology, Portfolio and Business teams to understand data usage, new requests, issues and manage properly Cloud Data Platform Experience: Experience managing operations for Data Platform in cloud required (AWS Preferred – familiarity with pipeline components and technologies needed) Data Quality/Pipeline Monitoring: Prior experience with data quality processing, pipeline monitoring required to capture delays, data issues/gaps, proactive communication, align with Support Intake/Demand Management: Help build an intake process and manage/operationalize the process Coordination with Sourcing: Experience coordinating with a vendor sourcing function needed to ensure onboardings and approval process is clear and run with tracking of requests/priority Access Controls: Role will be involved with enabling users to access data and need to understand IAM processes, AD group usage, AWS access points Required Skills & Qualifications 10+ years of experience in a similar role Financial services experience necessary (Some understanding of Portfolio Management, Trading, Risk, Ref Data, Operations, etc.) Buy side experience (Multi Strat/Hedge Fund Preferred) Subject matter expertise required in market data, security master data, and corporate actions data amongst others Experience building and leading data operations teams Experience enabling data for AI use cases Experience using AI to monitor and manage data quality AWS cloud experience with services like S3, lambda, Cron, event bridge and operational experience in the cloud Development and deployment process ownership experience Experience managing large volumes of unstructured data BI/Power BI integration experience a plus Python & SQL expertise System & Pipeline architecture understanding Strong problem-solving and analytical mindset Excellent communication skills to work with stakeholders across technology, investment, and operations teams. Ability to work in a fast-paced environment with tight deadlines. Hiring and Management experience Experience with CI/CD pipelines and DevOps practices. Salary Range $170,000—$200,000 USD", "summaryDescription" : "Data Operations Manager at Verition Group LLC. Skills: Data operations, AI enablement, Cloud platform management. Support Market Data platform in the cloud. Prepare datasets to enable AI", "postedDate" : "2026-06-14T19:19:09.188", "createdAt" : "2026-06-14T19:19:09.188", "lastUpdated" : "2026-06-15T22:09:27.810", "ingestTimestamp" : "2026-06-14T19:19:09.188", "mongoId" : "6a2c7bcd74d8ee00a094b177", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality processing", "Pipeline monitoring", "IAM processes", "AD group usage", "AWS access points", "Leadership", "Data operations", "AI enablement", "Cloud platform management", "Client management", "Demand management", "Access controls", "System architecture", "Pipeline architecture", "CI/CD pipelines", "DevOps practices", "Market data", "Security master data", "Corporate actions data", "Portfolio Management", "Trading", "Risk", "Ref Data", "Operations", "Financial services", "Buy side", "Multi Strat", "Hedge Fund", "AI use cases", "Power BI" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 356.56766, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3068adf292fd229cfc5092", "title" : "Senior Data Operations Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Operations Analyst in Vadodara, India, adjusted for mid-seniority level and the market research industry." }, "location" : "Vadodara, GJ, IN", "locations" : [ "Vadodara", "GJ", "IN" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:57:59.799", "fingerprint" : "dd815d3ecb6d8758dd678dbfeedfcee1365633266289bd97138709935a34afa2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132155256-senior-data-operations-analyst-so", "externalId" : "744000132155256", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vadodara", "state" : "Gujarat", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2973142,73.1942567" } ], "locationText" : "Vadodara, Gujarat, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data visualization", "ETL processes", "Data warehousing", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Statistical modeling", "Machine learning implementation", "Data pipeline development", "Database management", "Cloud data platforms", "BI tool development" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "BI tool development", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Design and implement data warehousing solutions, Create and maintain business intelligence dashboards, Perform statistical analysis and A/B testing, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Optimize data processing performance", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "Bachelor's degree, 2+ years of experience", "qualificationsPreferred" : "Master's degree, PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Acts as point-of contact between Operations and internal client services / clients to manage E2E operational queries and support to clients. Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables. Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders * Accountable for managing e2e NIQ’s Statistical Operations processes with a goal of delivering high quality and on-time data to clients according to SLAs for assigned countries. This would also include extensive data analysis using statistical/mathematical techniques. * Support addressing client queries related to Statistical Operations * Accountable for critical to quality decisions in Statistical Operations processes * Maintain two-way communication process with other teams * Responsible for the timely provision of data in the highest quality according to the agreed service level and requirements * Process defined reports, schedules and processes by adhering to defined procedures, delivery schedules, and SLAs * Team's KPI monitoring (quality and on time delivery) and being up to date with all processes related to assigned area * Contributing to the implementation of new standards and processes * Good knowledge of product portfolio in scope of at least one market/project * Daily work in a virtual and multicultural environment through cooperation with stakeholders and colleagues in order to delivering against the set objectives * Provide constructive input to Process Owners / Team Leads / Operations Manager to optimize and improve Operations effectiveness * Understand the relationship of assigned processes to both upstream and downstream processes to guarantee clean data is delivered by eliminating the need for re-work from any Operations team. ## Qualifications * Bachelor’s or Master’s Any Graduate (External) preference given to Statistics, Mathematics, Computer Science * Minimum experience of 2 years and above in NIQ Operations (For Internals) * Excellent organization skills, aptitude to work in team and meet deadlines * A high degree of accuracy, proactivity and attention to detail. * Project management aptitude (Decision making, critical path, task sequencing, problem solving, etc.) * Common business language knowledge (English): speaking and writing with fluency * Good in SQL and Excel. * Well-developed analytical skills and very good attention to details * Client communication skills * Proactivity attitude in recommending suitable solutions * Able to drive initiatives forward and deliver business results in a client focused manner * Ability to work effectively in a team to achieve goals together * Good understanding of end-to-end production process/stream knowledge * Very good understanding of the local market ## Additional Information This Role is at B3, Only level 2 and 3 can apply 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" : "Senior Data Operations Analyst at NielsenIQ. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T09:38:38.000", "createdAt" : "2026-06-16T00:19:38.137", "lastUpdated" : "2026-06-16T10:57:59.799", "ingestTimestamp" : "2026-06-16T00:19:38.137", "mongoId" : "6a3068adf292fd229cfc5092", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Statistical modeling", "Machine learning implementation", "Data pipeline development", "Database management", "Cloud data platforms", "BI tool development", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Data visualization", "ETL processes", "Data warehousing", "A/B testing", "Causal inference", "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", "AWS", "GCP", "Azure" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 356.49554, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307efef292fd229c0544a9", "title" : "Data Center Operations Manager", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Data Center Operations Manager in Singapore, adjusted for the technology industry." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T12:36:12.168", "fingerprint" : "0ae70d7873f4902534b136fadb9f11cec7ab2522560cb1484711a269e932dbb2", "source" : "google", "language" : "en", "externalId" : "117610682953671366", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Center Operations Manager", "postedDate" : "2026-06-16T01:51:51.823", "createdAt" : "2026-06-16T01:51:51.823", "lastUpdated" : "2026-06-16T12:36:12.168", "ingestTimestamp" : "2026-06-16T01:51:51.823", "mongoId" : "6a307efef292fd229c0544a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 355.2433, "daysOld" : 0, 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