{ "count" : 35844, "data" : [ { "id" : "6a2c7ca974d8ee00a094dfe8", "title" : "Sales Forecasting Analyst", "company" : "Trove Brands", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Sales Forecasting Analyst in Lehi, United States, with 3+ years of experience in the Retail industry." }, "location" : "Lehi, Utah, United States", "locations" : [ "Lehi", "Utah", "United States" ], "timestamp" : "2026-06-16T06:46:44.788", "fingerprint" : "230e95d0f01d46e00efb98399adf1e0757ae95bce5cdecb4ec1c18705d196594", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trovebrands/jobs/4251280009", "externalId" : "4251280009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3881114,-111.8486019" } ], "locationText" : "Lehi, Utah, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "coreResponsibilities" : "Analyze sales data, Develop sales forecasts, Identify trends, Provide insights, Support strategic decisions, Collaborate with sales teams, Prepare reports", "qualificationsBasic" : "3+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Trove Brands is a privately-held house of brands including BlenderBottle®, Owala®, Whiskware®, and Eco-Brite®. Our patented and best-selling products are designed to simplify and improve everyday life with leading-edge innovation, incomparable quality, and aspirational style. A career at Trove Brands is not about punching the clock. It’s about embracing exciting and fast-paced opportunities that sharpen your skills, drive innovation, and play an integral role in growing our global reach. Your work will not only impact the company, it will impact the lives of millions of people around the world. When you step up to a career at Trove, you step up to cutting-edge excellence. You sign up for bold action and invigorating synergy. You agree to face—and break through—new challenges every single day. The Sales Forecasting Analyst will play a key role in identifying sales trends and providing insights that drive business performance for our international accounts. The ideal candidate is proactive, analytical, and creative in their approach, with a strong ability to plan, problem-solve, and think strategically. This individual should be highly organized, detail-oriented, and an excellent communicator who thrives in a collaborative environment. A positive, energetic attitude and strong customer service mindset are essential. Responsibilities: Develop and maintain accurate sales forecasts by analyzing historical data, point-of-sale trends, and market dynamics. Conduct analytics to evaluate performance across products and retailers and translate insights into actionable strategies. Monitor forecast accuracy, identify root causes of variances, and recommend corrective actions. Support promotional planning, including product launches and seasonal sales surges. Collaborate with supply chain, finance, and sales teams to align forecasts with production and demand planning. Stay current on industry trends and translate insights into impact. Leverage AI tools (e.g., LLMs, automation workflows) to enhance analytical efficiency and uncover deeper insights. Support sales representatives to build strong collaborative relationships with external retail merchant teams. Qualifications: Knowledge of retail industry best practices; an international focus is preferred. Extensive experience with data visualization software; experience in Omni analytics platform preferred. Advanced proficiency in Excel (including lookups, PivotTables, conditionals, data analysis). Proficiency in PowerPoint. Experience with Python and/or SQL preferred. Demonstrated self-motivation, commitment, positivity, and integrity. Strong ability to multi-task and manage multiple priorities simultaneously. Comfortable working in a fast-paced, dynamic environment. Strong leadership, organizational, and analytical skills. Bachelor’s degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. 3+ years of retail business analyst experience; international account experience preferred. Our culture is passionate, entrepreneurial, and energetic. We value innovation through collaboration. And while we work smart and hard, we also connect and celebrate with equal gusto. We host team-building activities, athletic events, and seasonal celebrations to foster community and reward accomplishments. Bottom line? You’ll love it here. Among the many benefits our team members enjoy are: Comprehensive medical, dental, and vision care 401k package with employer matching Paid Time Off Maternity/Paternity leave Full indoor basketball/volleyball court Fully equipped fitness center (cardio, weights, functional fitness area, lockers and showers, etc.) Yoga studio Meditation/Nap room And much more! Trove Brands is an equal opportunity employer. Phone calls regarding this position are not accepted. This is a fully in-office position at our HQ in Lehi, Utah.", "summaryDescription" : "Sales Forecasting Analyst at Trove Brands. Analyze sales data. Develop sales forecasts", "postedDate" : "2026-06-14T20:05:57.004", "createdAt" : "2026-06-14T20:05:57.004", "lastUpdated" : "2026-06-16T06:46:44.788", "ingestTimestamp" : "2026-06-14T20:05:57.004", "mongoId" : "6a2c7ca974d8ee00a094dfe8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd5f974d8ee00a0a3c9ca", "title" : "Director of Forecast and Scheduling", "company" : "AnswersNow", "industry" : "Operations", "salary" : { "min" : 7500000.0, "max" : 1.25E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Forecast and Scheduling in the Healthcare industry, adjusted for seniority and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T04:58:15.924", "fingerprint" : "75210575b7db7f3b04d972650181d43302b7dd42a2ae6aa2df86a2dc41a44aab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/AnswersNow/2a103f94-271b-416d-9521-43248be413e7/application", "externalId" : "2a103f94-271b-416d-9521-43248be413e7", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Director", "technicalSkills" : "Excel, Google Sheets, BI tools, Reporting tools, Planning systems", "professionalSkills" : [ "Capacity planning", "Utilization analysis", "Coverage modeling", "Schedule optimization", "Operations analytics", "Workforce planning", "Forecasting", "Staffing models", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Quantitative analysis", "Trend interpretation", "Actionable recommendations" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Trend interpretation", "level" : "intermediate" }, { "name" : "Actionable recommendations", "level" : "intermediate" } ], "majorSkills" : "Forecast accuracy, Capacity planning, Staffing models", "majorSkillsList" : [ "Forecast accuracy", "Capacity planning", "Staffing models" ], "coreResponsibilities" : "Own forecasting strategy for clinical capacity, Translate demand projections into BCBA headcount, Lead workforce planning and staffing models, Ensure clinician capacity supports assessments, client pairing, and, Oversee Forecasting and Scheduling Analysts, Ensure coverage, efficiency, and operational execution, Partner cross-functionally with leaders, Align demand forecasts, capacity plans, and scheduling priorities, Build reporting, processes, and planning rigor, Improve forecast accuracy, Optimize utilization, Proactively identify capacity risks, gaps, and scaling needs", "teamCollaboration" : "Cross-functional leaders; Marketing; Partnerships; Clinical; Operations leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Autism therapy; ABA therapy; Insurance credentialing; Revenue cycle timelines", "domainList" : [ "autism-therapy", "aba-therapy", "insurance-credentialing", "revenue-cycle-timelines" ], "domainSpecificKnowledge" : [ "Autism therapy", "ABA therapy", "Insurance credentialing", "Revenue cycle timelines" ], "toolProficiency" : [ "Excel", "Google Sheets", "BI platforms", "WFM platforms", "Analytics tooling" ], "communicationSkills" : "Present findings; Present recommendations", "problemSolvingSkills" : "Interpret complex data; Identify drivers; Turn analysis into recommendations", "outcomesObjectives" : "Improve forecast accuracy; Optimize utilization; Proactively identify capacity risks; Reduce time from intake to BCBA placement; Increase assessment scheduling fill rate; Maximize BCBA capacity utilization; Improve client-to-BCBA match success", "qualificationsBasic" : "Bachelor's degree in Business, Analytics, Operations, Statistics, Healthcare Administration, Mathematics, or a related field, 6+ years of experience in workforce planning, forecasting, scheduling, capacity planning, operations analytics, or a related field, 2+ years of people leadership, Experience building forecasting models, staffing plans, and schedules using historical trends, productivity assumptions, and projected demand, Analytical skills with the ability to interpret complex data, identify drivers, and turn analysis into operational recommendations, Experience with capacity planning, utilization analysis, coverage modeling, and schedule optimization, Advanced proficiency in Excel or Google, Project management skills, Communication and stakeholder-management skills, Ability to present findings and recommendations to senior leadership", "qualificationsPreferred" : "Related advanced degree preferred but not required, Experience with BI/reporting tools and planning systems strongly preferred, Experience in healthcare, telehealth, contact center, client operations, or other service-delivery environments with variable demand strongly preferred, Demonstrated ability to balance business performance with client experience and clinician experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Director of Forecast and Scheduling Remote, Anywhere in the US About AnswersNow At AnswersNow, we are trailblazing the future of autism therapy, making it more immediate, accessible, and effective for families everywhere. Our innovative virtual ABA therapy platform is thoughtfully designed by clinicians to recreate the focused, supportive environment of in-person therapy, complete with distraction-free features and interactive activities that enhance engagement and progress. Our team operates fully remote—meaning you’ll have the flexibility to work from the comfort of home. If you're ready to make a meaningful impact and join a team that's reshaping autism therapy, we’d love to hear from you! Why this role matters: AnswersNow is looking for an analytical, strategic, and executive-minded Director of Forecast and Scheduling to build, lead, and optimize the operational engine behind our national clinician network. Sitting at the critical intersection of commercial growth and clinical delivery, you will own the capacity planning strategy that translates rapid demand into predictive, rock-solid clinician staffing models. This is a high-impact leadership role requiring a master of workforce data who can build repeatable playbooks for state expansions, protect operational gross margins, and seamlessly align clinician capacity with complex insurance credentialing and revenue cycle timelines. Job Details - W2 Employee - Full-Time - 100% Remote Job Requirements - Bachelor’s degree in Business, Analytics, Operations, Statistics, Healthcare Administration, Mathematics, or a related field; advanced degree preferred but not required - 6+ years of experience in workforce planning, forecasting, scheduling, capacity planning, operations analytics, or a related function; 2+ years of people leadership preferred. Director-level WFM and provider-capacity postings generally call for substantial experience, often 5–10+ years, including leadership - Strong experience building forecasting models, staffing plans, and schedules using historical trends, productivity assumptions, and projected demand - Strong analytical skills with the ability to interpret complex data, identify drivers, and turn analysis into operational recommendations. Comparable analyst and manager roles emphasize quantitative analysis, trend interpretation, and actionable recommendations - Experience with capacity planning, utilization analysis, coverage modeling, and schedule optimization - Advanced proficiency in Excel or Google Sheets; experience with BI/reporting tools and planning systems strongly preferred. Comparable roles commonly cite Excel, SQL, WFM platforms, and analytics tooling - Strong project management skills and the ability to lead cross-functional initiatives in a fast-paced environment - Strong communication and stakeholder-management skills, including the ability to present findings and recommendations to senior leadership - Experience in healthcare, telehealth, contact center, client operations, or other service-delivery environments with variable demand strongly preferred - Demonstrated ability to balance business performance with client experience and clinician experience. What You’ll Do - Own forecasting strategy for clinical capacity by translating Marketing and Partnerships demand projections into BCBA headcount - Lead workforce planning and staffing models to ensure the right clinician capacity is in place to support assessments, client pairing, and ongoing service delivery - Oversee Forecasting and Scheduling Analysts responsible for assessment scheduling and BCBA-to-client matching, ensuring coverage, efficiency, and strong operational execution - Partner cross-functionally with Marketing, Partnerships, Clinical, and Operations leaders to align demand forecasts, capacity plans, and scheduling priorities with growth targets - Build reporting, processes, and planning rigor to improve forecast accuracy, optimize utilization, and proactively identify capacity risks, gaps, and scaling needs Success Indicators: - Forecast accuracy (demand vs. required BCBA capacity): Measures how accurately projected Marketing and Partnerships demand translates into assessment volume, active caseload demand, and BCBA headcount requirements. - Time from intake/assessment readiness to BCBA placement: Tracks how quickly families are matched to an appropriate BCBA after entering the funnel, aligned to AnswersNow’s speed-to-care promise. - Assessment scheduling fill rate: Measures the percentage of available assessment slots filled each week, showing whether scheduling operations are converting forecasted demand into completed appointments. - BCBA capacity utilization: Tracks whether clinician supply is being deployed effectively against expected caseload norms, especially given AnswersNow’s published full-time caseload and therapy-hour expectations. - Client-to-BCBA match success / rematch rate: Measures how often initial pairings stick without reassignment, which is especially important in AnswersNow’s dedicated-clinician, family-centered model. What we Offer - $??-$?? per hour or $??,??? annual salary - Fully remote – work from anywhere in the U.S. - Flexible hours with an async-friendly team culture More About AnswersNow AnswersNow welcomes applicants of all backgrounds, experiences, and abilities. We believe a diverse team is a strong team, and are committed to provide a fair and equitable experience for every candidate. If you require reasonable accommodations at any stage, we encourage you to reach out. We’re here to support! Learn more about us at getanswersnow.com http://getanswersnow.com.", "summaryDescription" : "Director of Forecast and Scheduling at AnswersNow. Skills: Forecast accuracy, Capacity planning, Staffing models. Own forecasting strategy for clinical capacity. 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Department heads; FP&A teams", "domainKnowledge" : "Financial planning; Budgeting; Forecasting; SaaS; Real estate; Professional services", "domainList" : [ "financial-planning", "budgeting", "forecasting", "saas", "real-estate", "professional-services" ], "domainSpecificKnowledge" : [ "Financial planning", "Budgeting", "Forecasting", "SaaS", "Real estate", "Professional services" ], "toolProficiency" : [ "Adaptive Insights", "Anaplan", "Workday", "Hyperion" ], "communicationSkills" : "Data-driven storytelling; Executive presentations", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Forecast accuracy within ±5–10%; Budget completion within agreed timelines; Variance explanations delivered within 2–3 days of close; Models updated regularly and free from errors; Forecasting cycle time is reduced via automation", "qualificationsBasic" : "Bachelor's degree in Finance, Accounting, Economics, or related field, 3+ years in financial planning/analysis, budgeting, or forecasting, Advanced Excel/Google Sheets, Experience preparing variance analyses for leadership", "qualificationsPreferred" : "FP&A tool experience, MBA, CFA, or CPA credential, Experience forecasting for SaaS, real estate, or professional services, Familiarity with BI/analytics platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Job Title:** Budgeting/Forecasting Specialist **Position Type:** Full-Time, Remote **Working Hours:** U.S. client business hours **About the Role:** Our client is seeking a Budgeting/Forecasting Specialist to build financial models, manage planning cycles, and provide forward-looking insights that guide strategy. This role requires strong analytical skills, mastery of modeling tools, and the ability to translate numbers into actionable recommendations. You will work closely with finance leaders and department heads to ensure budgets and forecasts are accurate, realistic, and strategically aligned. **Responsibilities** : Budget Development: * Lead preparation of annual operating and capital budgets. * Consolidate inputs across departments and business units. * Ensure budgets align with company goals and resource constraints. Forecasting: * Maintain rolling forecasts for revenue, expenses, and cash flow. * Update models monthly or quarterly with actuals, adjusting assumptions. * Build scenario and sensitivity analyses to test potential outcomes. Variance Analysis: * Compare actual results to budgets/forecasts. * Prepare written commentary to explain variances and recommend corrective actions. Financial Modeling: * Build dynamic Excel or Google Sheets models (DCF, ROI, IRR, break-even). * Use advanced formulas, macros, or BI tool integrations to improve accuracy. Reporting: * Prepare management reporting packages with dashboards and visualizations. * Present insights to executives, highlighting risks and opportunities. Collaboration: * Partner with department heads to align forecasts with operational plans. * Work with FP&A teams to refine planning assumptions. Process Improvement: * Identify inefficiencies in forecasting workflows. * Implement new FP&A software or improve data integrations (Adaptive Insights, Anaplan, Workday, or equivalent). **What Makes You a Perfect Fit:** * Highly analytical with an eye for detail. * Comfortable building models from scratch and explaining them simply. * Proactive in identifying trends, risks, and opportunities. * Skilled communicator who can influence leaders through data-driven storytelling. **Required Experience & Skills (Minimum):** * Bachelor’s degree in Finance, Accounting, Economics, or related field. * 3+ years in financial planning/analysis, budgeting, or forecasting. * Advanced Excel/Google Sheets (nested formulas, pivot tables, sensitivity modeling). * Experience preparing variance analyses for leadership. **Ideal Experience & Skills:** * FP&A tool experience (Anaplan, Adaptive Insights, Hyperion, Workday). * MBA, CFA, or CPA credential. * Experience forecasting for SaaS, real estate, or professional services. * Familiarity with BI/analytics platforms (Power BI, Tableau, Looker). **What Does a Typical Day Look Like?** A Budgeting/Forecasting Specialist’s day revolves around building clarity about the future of the business. You will: * Maintain financial models — updating them with actuals and revising assumptions based on market or internal trends. * Analyze variances — reviewing how actual results differ from plan and preparing written explanations with supporting data. * Support decision-making — running scenario analyses (“what happens if revenue grows 15%?” “what if headcount increases by 20?”) and presenting implications to leadership. * Collaborate across teams — meeting with department managers to validate budget assumptions and ensure spending aligns with strategy. * Deliver reporting — packaging forecasts and analyses into dashboards and executive-ready presentations. * Continuously improve — refining models, implementing forecasting software, and streamlining inputs to shorten cycles. 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We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. ## What You’ll Do Revenue Forecasting / GTM Strategy Own the weekly and monthly revenue forecasting cadence across Audience and Analytics product lines, covering both consumption-based project revenue and subscription arrangements Build and maintain forecast models that triangulate signals from pipeline stage, historical run-rates, deal velocity, consumption pacing, rep attainment patterns, and contract structure Understand how contract terms — minimum commitments, consumption schedules, renewal windows, expansion clauses — affect revenue timing and recognition, and incorporate that nuance into forecast models Proactively identify risk and upside in the forecast, communicate assumptions clearly, and drive accountability with Sales leadership Continuously refine forecast methodology — tracking variance to actuals, diagnosing root causes, and improving accuracy over time across different product and revenue model types Navigate data that is, at times, messy or inconsistently structured: exercise judgment about when to normalize, when to flag gaps, and when to present ranges rather than point estimates Build reporting frameworks that hold up even when underlying data is imperfect or arrives on different timelines — e.g., consumption data that lags, subscription bookings that close unevenly, or contract structures that span fiscal periods Play a key analytical role in annual quota-setting, territory design, and headcount capacity modeling Build bottom-up and top-down models to stress-test plans across usage and ARR revenue streams Sales Productivity & Pipeline Analytics Develop and maintain a suite of sales productivity metrics including quota attainment, ramp-to-productivity, activity-to-outcome ratios, average deal size, and win/loss rates by segment and product Analyze pipeline health across coverage ratios, stage conversion rates, deal velocity, and aging — surfacing early warning signals before they become forecast misses Track and contextualize performance across Audience and Analytics product lines, which have distinct sales motions, deal structures, and productivity norms — and know how to compare them meaningfully Produce recurring pipeline reviews for Sales leadership with clear, insight-led narratives — not just data exports Support real-time deal reviews by providing analytical context for key opportunities and risk accounts Executive Reporting / Chief of Staff to the CRO Collaborate closely with Finance, Sales leadership, and Marketing to align GTM programs Help the business understand how to allocate capacity across product lines with different growth profiles, sales cycles, and revenue recognition patterns Produce weekly, monthly, and quarterly business reviews — synthesizing complex, multi-dimensional data into crisp, decision-ready narratives Present findings directly to senior leadership and be prepared to defend your methodology and assumptions in real time Work with sales leaders to drive accountability in their goals and objectives ## Who You Are BA/BS in Finance, Economics, Data Science, Business, or a related analytical field from a top tier university 3–5 years of experience in Investment Banking, Management Consulting, FP&A, Revenue Strategy or a similar analytically rigorous role; Deep proficiency in Excel and/or Google Sheets: you can build, audit, and stress-test complex multi-tab models from scratch without hand-holding Hands-on Salesforce experience: you understand pipeline structure, deal stages, and CRM data deeply enough to interrogate it, not just report from it Strong data visualization skills: you build dashboards that are polished, maintainable, and designed for executive audiences Hands-on experience using AI tools — including Claude, Gemini, or comparable LLMs — to accelerate analysis, automate workflows, or improve the quality of written output; you treat AI as a core part of your workflow, not an afterthought Ability to read and interpret contract terms — minimum commitments, consumption schedules, renewal provisions, expansion rights — and understand how they affect revenue timing, recognition, and forecast behavior Experience working across multiple revenue model types — consumption/project-based and subscription — and an understanding of how they differ in forecasting, planning, and performance measurement Proven ability to work with messy, inconsistently structured, or late-arriving data: you have a methodology for handling data quality issues and communicating uncertainty without losing your audience Exceptional written and verbal communication skills: you can take a complex, multi-dimensional analysis and reduce it to two or three sentences that drive a decision Comfortable presenting directly to executives and defending your analysis when challenged — with data, not defensiveness High ownership mentality: you define the problem, structure the analysis, and deliver a point of view — you don’t wait to be told exactly what to build ## Nice to Have MBA from a top program Experience at an ad-tech, media measurement, or data-driven SaaS company SQL proficiency for querying data warehouses directly, reducing reliance on pre-built extracts Familiarity with revenue intelligence platforms (e.g., Clari, Gong) or financial planning tools (e.g., Prophix, Adaptive Insights) Prior experience supporting a business that operates across both consumption/project and subscription revenue models simultaneously Experience supporting a scaled sales organization (50+ reps) through a period of rapid growth or significant product expansion A track record of going beyond standard tools — coding with AI tools, prompt engineering, developing AI-assisted models that meaningfully improve speed or analytical depth ## Additional Information Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.", "summaryDescription" : "Revenue Strategy & Forecasting Analyst at Samba", "postedDate" : "2026-06-15T13:15:39.172", "createdAt" : "2026-06-15T13:15:39.172", "lastUpdated" : "2026-06-16T10:58:27.501", "ingestTimestamp" : "2026-06-16T03:20:17.926", "mongoId" : "6a3050dff292fd229cef660d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", 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"name" : "Organizational skills" }, { "name" : "Deadline driven" }, { "name" : "Work under pressure" }, { "name" : "Identify operational inefficiencies" }, { "name" : "Make recommendations" } ], "majorSkills" : "Budget forecasting, Financial analysis, Expense management, Cost control", "majorSkillsList" : [ "Budget forecasting", "Financial analysis", "Expense management", "Cost control" ], "coreResponsibilities" : "Provide financial oversight into store operations related expenses, Prepare ad hoc analyses, Prepare weekly analyses, Prepare monthly analyses, Prepare quarterly analyses, Participate in annual budget preparation, Support leadership with strategic projects, Support leadership with strategic initiatives, Function as liaison between Field Operations and SSC, Perform P&L research, Perform Invoice Reconciliation, Complete analysis for field expenses, Develop programs to control costs, Develop reports to control costs, Compile summary reports, Analyze summary reports, Provide summary reports, Drive expense savings, Drive profitability, Serve as subject matter expert for projects, Serve as subject matter expert for processes, Manage expense lines, Monitor expense lines, Resolve issues with field, Resolve issues with departments, Minimize expenses, Identify root causes for business problems, Analyze expense lines, Provide business commentary, Provide solutions, Support Store Simplification, Work with Suppliers, Work with Vendors, Support initiatives, Drive revenue savings, Drive expense savings, Perform other duties as assigned", "teamCollaboration" : "Work with field; Work with departments; Work with Suppliers; Work with Vendors", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Retail Operations; Store P&Ls; Travel expenses; Vending expenses", "domainList" : [ "retail-operations", "store-p-ls", "travel-expenses", "vending-expenses" ], "domainSpecificKnowledge" : [ "Retail Operations", "Store P&Ls", "Travel expenses", "Vending 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into all store operations related expenses with the exception of store payroll and store supplies. This position will also prepare various ad hoc, weekly, monthly and quarterly analyses as deemed appropriate by leadership. This position will participate in the annual budget preparation for areas of responsibility and support leadership with all strategic projects and initiatives. This position will function as a liaison between Field Operations and SSC (i.e. P&L research, Invoice Reconciliation) to include completing analysis for field expenses and development of programs and reports to control costs. Responsible for compiling, analyzing and providing detailed summary reports on a weekly, monthly and quarterly basis to help drive expense savings and profitability at both a store and store operations support level. Serves as the subject matter expert (SME) for projects and processes including, but not limited to, Store P&Ls, Travel, Vending, etc.) Principal Duties and Responsibilities * Participate in the annual budget preparation for areas of responsibility and support leadership with all strategic projects and initiatives. * Manage and monitor various expense lines working with the field and various departments to resolve issues and minimize expenses. * Identify root causes for business problems and analyze various expense lines to provide business commentary and solutions and support overall Store Simplification. * Work with Suppliers and Vendors as needed to support initiatives and help drive revenue and expenses savings down to the store level. * Other duties as assigned. Minimum Requirements/Qualifications * Bachelor’s degree in business administration including Accounting or Finance or related work experience is required. * 3-5+ years of experience in Retail Operations, Project Management or Financial Operations is required. * Must demonstrate strong analytical, communication, project management and organizational skills. * Deadline driven, work well under pressure and possess the ability to identify operational inefficiencies and make appropriate recommendations for correction. * Must have advanced Excel skills and be proficient in MS Access, Word, PowerPoint and Project. No exceptions. * Office work environment, 40+ work hours per week * Some travel may be required (less than 10%) Full time 500 Volvo Parkway,Chesapeake,Virginia 23320 Expense Management Dollar Tree", "summaryDescription" : "Ops Analyst Budget Forecasting at Dollar Tree. Skills: Budget forecasting, Financial analysis, Expense management, Cost control. Provide financial oversight into store operations related expenses. 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Leadership teams; Exec team strategy", "domainKnowledge" : "Crypto trading firms; Settlement network; Payment flows; Credit flows; Capital efficiency; Liquidity; Crypto market structure; Centralized venues; OTC settlement; On chain settlement; Tri party settlement; Prime brokerage platforms; CCP workflows", "domainList" : [ "crypto-trading-firms", "settlement-network", "payment-flows", "credit-flows", "capital-efficiency", "liquidity", "crypto-market-structure", "centralized-venues", "otc-settlement", "on-chain-settlement", "tri-party-settlement", "prime-brokerage-platforms", "ccp-workflows" ], "domainSpecificKnowledge" : [ "Crypto trading firms", "Settlement network", "Payment flows", "Credit flows", "Capital efficiency", "Liquidity", "Crypto market structure", "Centralized venues", "OTC settlement", "On chain settlement", "Tri party settlement", "Prime brokerage platforms", "CCP workflows" ], "toolProficiency" : [ "Fireblocks", "ClearLoop", "BitGo Go Network", "CUBIX", "Talos" ], "communicationSkills" : "Technical conversation; Operational conversation", "problemSolvingSkills" : "Unblocking issues", "specialRequirements" : "US only", "outcomesObjectives" : "Move clients from pilot to production", "qualificationsBasic" : "Five to ten years experience, Trade operations experience, Middle office experience, Settlement ops experience, Crypto trading firm experience, OTC desk experience, Market maker experience, Prime broker experience, Exchange experience, TradFi institution experience, Post trade knowledge, Settlement knowledge, Reconciliation knowledge, Collateral knowledge, Counterparty risk knowledge, Treasury knowledge, Hands on settlement stack experience, Understand crypto market structure, Hold own on call, Bring feedback to product team", "qualificationsPreferred" : "Post trade OEMS tools experience a plus, Talos experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Founding Institutional Solutions Lead, Cycles Prime Full Time, Remote (US only) About Cycles Cycles' mission is to clear the most debt, for the most people, with the least money. We are building a neutral clearing layer that interconnects every settlement network across global financial markets. By optimizing payment and credit flows, Cycles resolves gridlock and improves capital efficiency and liquidity across the financial system. Cycles is an independent venture backed startup originally incubated by Informal Systems. Cycles is backed by Blockchange Ventures, Coinbase Ventures, CMCC Global, Maven11, Compound VC, Primitive Ventures, Nascent and Cygni. This role presents a rare opportunity to join a high growth startup and be a part of the founding team led by Ethan Buchman, co-founder of Cosmos. About Cycles Prime Cycles Prime is a clearing solution for crypto trading firms that preserves working capital and reduces reliance on credit lines. It requires no collateral, no asset escrow, and no new counterparties, using a graph flow algorithm and advanced privacy technology to identify multilateral obligation cycles that can be netted, privately and provably, without moving cash. About the Role Crypto trading firms have billions in working capital tied up in bilateral exposures across venues. Cycles Prime frees it. We are in pilot with some of the largest trading firms in the market and need someone who can move them from pilot to production. As an Institutional Solutions Lead, you help shape the product, carry the technical conversation on customer calls, stay close to firms through pilot, and run parts of deals yourself. You have done trade ops at a trading firm, either in your current role or a prior one. You know how post trade actually runs and want to apply that to building something new. In this role, you will Run the account from onboarding through pilot, handling integrations and unblocking issues for buyers and users. Support BD and partnerships, working with the exec team on strategy and carrying the technical and operational conversation on calls with heads of ops, middle office, risk, and treasury. You also help tighten how we pitch to the ops side of these firms. Shape the Product, working directly with engineering and leadership on what we build next. You take counterparty feedback and turn it into real requirements. If something we are shipping will not hold up in a live ops workflow, you catch it before it goes out. What we are looking for Five to ten years of experience, with at least a few in trade operations, middle office, or settlement ops at a crypto trading firm, OTC desk, market maker, prime broker, exchange, or TradFi institution. You know post trade: settlement, reconciliation, collateral, counterparty risk, treasury. Hands on experience with the settlement stack trading firms actually use. On the crypto side, that is Fireblocks, ClearLoop, BitGo Go Network, CUBIX, or similar. On the TradFi side, tri party, prime brokerage platforms, or CCP workflows. Post trade and OEMS tools like Talos are a plus. You understand crypto market structure across centralized venues, OTC, and on chain settlement. You can hold your own on a call with a head of ops or a risk lead. You ask the right follow ups and bring what you hear back to the product team without flattening it. High agency. There is no playbook here. You see what matters and go do it. Some of our benefits include A unique, caring and friendly culture 20 days (4 weeks) of paid vacation annually Company closure from December 25th to January 1 Annual Lifestyle benefits (reimbursements for gym memberships, fitness equipment, etc) A remote first, flexible work environment Annual company retreats Paid parental leave ….. and many more! The salary range for this role is 130,000 to 190,000 USD and may vary based on factors like location and experience. We are an equal opportunity employer and value diversity in our organization. We are committed to equal employment opportunities and encourage applications from people of all race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status.", "summaryDescription" : "Cycles Institutional Solutions Lead at Cycles. Skills: Institutional Solutions, Sales, Revenue Generation, Client Onboarding. Run account onboarding. Handle integrations", "postedDate" : "2026-06-14T09:16:51.554", "createdAt" : "2026-06-14T09:16:51.554", "lastUpdated" : "2026-06-15T10:04:25.210", "ingestTimestamp" : "2026-06-14T09:16:51.554", "mongoId" : "6a2c94bd74d8ee00a098b789", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 190000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Settlement", "Reconciliation", "Collateral", "Counterparty risk", "Treasury", "Settlement stack", "Crypto market structure", "Graph flow algorithm", "Privacy technology", "High agency", "Institutional Solutions", "Sales", "Revenue Generation", "Client Onboarding", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Technical conversation", "Product shaping", "Counterparty feedback", "Operational workflow", "Crypto trading firms", "Settlement network", "Payment flows", "Credit flows", "Capital efficiency", "Liquidity", "Centralized venues", "OTC settlement", "On chain settlement", "Tri party settlement", "Prime brokerage platforms", "CCP workflows", "Fireblocks", "ClearLoop", "BitGo Go Network", "CUBIX", "Talos" ], "skillCount" : 39, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f052beec4dd3d9340bb", "title" : "Support Engineer, SCOT WW Long Term Planning and Forecasting", "company" : "ADCI HYD", "industry" : "Software Development, Support Engineering, operations", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Support Engineer in Hyderabad, India, with 2+ years of experience in the technology industry, adjusted for company size and specific role responsibilities." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:30:17.007", "fingerprint" : "bbce034e0d56c32567aff3c13d2eec6ebefcc9ab61462cf74465b1924eea78f8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382262/apply", "externalId" : "651d8001-17f1-4c44-8d56-e563a108b2c9", "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", "experienceMinYears" : 2, "technicalSkills" : "Python, REST, XML, JSON", "professionalSkills" : [ "Application Support" ], "hardSkillsList" : [ "Software development", "Technical support", "Scripting", "Troubleshooting", "Debugging", "Software deployment", "Software migration", "Automation" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Technical support", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Software deployment", "level" : "intermediate" }, { "name" : "Software migration", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Forecasting, Planning, Support Engineering", "majorSkillsList" : [ "Forecasting", "Planning", "Support Engineering" ], "coreResponsibilities" : "Troubleshoot computer-identified alarms, Debug computer-identified alarms, Evaluate computer-identified alarms, Perform software deployments, Perform software migrations, Host management, Automate routine operational tasks, Develop tools, Develop automation, Modify software", "domainKnowledge" : "Supply Chain Optimization; Long-Term Forecasting; Inventory forecasting; Cube forecasting; Forecasting platform", "domainList" : [ "supply-chain-optimization", "long-term-forecasting", "inventory-forecasting", "cube-forecasting", "forecasting-platform" ], "domainSpecificKnowledge" : [ "Supply Chain Optimization", "Long-Term Forecasting", "Inventory forecasting", "Cube forecasting", "Forecasting platform" ], "problemSolvingSkills" : "Troubleshooting; Debugging", "specialRequirements" : "On call", "qualificationsBasic" : "2+ years software development, 2+ years technical support, Experience scripting modern languages, Experience troubleshooting technical systems, Experience debugging technical systems", "qualificationsPreferred" : "Knowledge of web services, Knowledge of distributed systems, Knowledge of web application development, Experience troubleshooting hardware RAID, Experience maintaining hardware RAID, Experience troubleshooting software RAID, Experience maintaining software RAID, Experience with REST web services, Experience with XML, Experience with JSON", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Supply Chain Optimization Technologies (SCOT) org is looking for Support Engineer to join the Long-Term Forecasting and Planning Team. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We own highly scalable services that power worldwide customer demand, inventory, and cube forecasting. Your work will drive inventory and cube plans for millions of products across Amazon’s global fulfillment network and influence multi-billion-dollar build decisions. This program is building a brand-new forecasting platform that delivers coherent, accurate, global-scale predictions. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Support engineers troubleshoot, debug, evaluate and resolve computer-identified alarms, perform software deployments and migrations, host management and automate routine operational tasks. The position requires a combination of strong troubleshooting, technical and communication skills and includes a mix of on call and operational tasks and may involve small-project software development work. Support Engineers also develop tools and automation to achieve human free operations. They use the right tool for the job, and modify software in a way that leverages the overall system architecture. If you have a strong Application Support background, are interested in growth and have passion to develop tools at large scale, this is the opportunity for you. About the team We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience. Basic Qualifications: - 2+ years of software development, or 2+ years of technical support experience - Experience scripting in modern program languages - Experience troubleshooting and debugging technical systems Preferred Qualifications: - Knowledge of web services, distributed systems, and web application development - Experience troubleshooting & maintaining hardware & software RAID - Experience with REST web services, XML, JSON 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" : "Support Engineer, SCOT WW Long Term Planning and Forecasting at ADCI HYD. Skills: Forecasting, Planning, Support Engineering. Troubleshoot computer-identified alarms. Debug computer-identified alarms", "postedDate" : "2026-06-13T06:49:49.611", "createdAt" : "2026-06-13T06:49:49.611", "lastUpdated" : "2026-06-15T02:30:17.007", "ingestTimestamp" : "2026-06-13T06:49:49.611", "mongoId" : "69cf3f052beec4dd3d9340bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382262/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Technical support", "Scripting", "Troubleshooting", "Debugging", "Software deployment", "Software migration", "Automation", "Forecasting", "Planning", "Support Engineering", "Application Support", "Supply Chain Optimization", "Long-Term Forecasting", "Inventory forecasting", "Cube forecasting", "Forecasting platform" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2b415174d8ee00a0799794", "title" : "Planning and Forecasting Finance Analyst", "company" : "GSK", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Planning and Forecasting Finance Analyst in Warsaw, Poland, adjusted for the pharmaceutical industry and company size." }, "location" : "Warsaw", "locations" : [ "Warsaw", "Poland" ], "certifications" : [ "ACCA", "CIMA", "CPA" ], "timestamp" : "2026-06-14T18:34:51.182", "fingerprint" : "36bb0cfed70812ca658e71bf2ee91ce4fe015b59fbd40a2b9744dde26ef34dec", "source" : "workday", "language" : "en", "applyUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Warsaw/Planning-and-Forecasting-Finance-Analyst_442694-1", "externalId" : "442694", "industryFunction" : { }, "locationPoint" : "40.35921,-91.4346", "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "technicalSkills" : "Excel", "professionalSkills" : [ "Financial planning", "Forecasting", "Budgeting", "Financial modelling", "Variance analysis", "Process improvement", "System improvement" ], "hardSkillsList" : [ "Financial modelling", "Variance analysis", "Scenario analysis", "Sensitivity analysis" ], "softSkillsList" : [ "Curiosity", "Clear communication", "Attention to detail", "Willingness to learn", "Continuous improvement" ], "hardSkills" : [ { "name" : "Financial modelling", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Scenario analysis", "level" : "intermediate" }, { "name" : "Sensitivity analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Clear communication" }, { "name" : "Attention to detail" }, { "name" : "Willingness to learn" }, { "name" : "Continuous improvement" } ], "majorSkills" : "Financial planning, Forecasting, Budgeting, Management reporting", "majorSkillsList" : [ "Financial planning", "Forecasting", "Budgeting", "Management reporting" ], "coreResponsibilities" : "Maintain and update financial models to deliver monthly, Consolidate inputs from local and regional teams and, Analyse variances between actuals, budgets and forecasts and, Produce monthly management reports and materials to support, Run scenario and sensitivity analyses to assess risks, Propose and support process and system improvements to", "teamCollaboration" : "Finance teams; Commercial teams; Regional teams; Leadership decisions", "domainKnowledge" : "Pharmaceutical finance; Healthcare finance; Life sciences finance; Consumer goods finance; Driver-based forecasting; Budgeting cycles; Variance analysis", "domainList" : [ "pharmaceutical-finance", "healthcare-finance", "life-sciences-finance", "consumer-goods-finance", "driver-based-forecasting", "budgeting-cycles", "variance-analysis" ], "domainSpecificKnowledge" : [ "Pharmaceutical finance", "Healthcare finance", "Life sciences finance", "Consumer goods finance", "Driver-based forecasting", "Budgeting cycles", "Variance analysis" ], "toolProficiency" : [ "Excel", "SAP", "SAP Analytics Cloud", "Power BI", "Tableau" ], "communicationSkills" : "Management reports; Leadership decisions", "continuousLearning" : "Personalized learning approach; Mentoring; Online training platforms; External training", "problemSolvingSkills" : "Analyse variances; Assess risks; Assess opportunities; Process improvements; System improvements", "outcomesObjectives" : "Increase accuracy; Increase efficiency", "qualificationsBasic" : "Bachelor's degree in Finance, Accounting, Economics, Business or related field, 1–2 years’ experience in financial planning, forecasting, budgeting or related finance work, Excel skills including formulas, pivot tables and basic financial modelling, Good written and spoken English, Ability to meet deadlines while maintaining attention to detail, Collaborative mindset and willingness to learn and support continuous improvement", "qualificationsPreferred" : "Experience with SAP, SAP Analytics Cloud, Power BI, Tableau or similar tools, Progress toward or completion of a professional finance qualification (ACCA, CIMA, CPA), Experience in pharmaceutical, healthcare, life sciences or consumer goods finance, Familiarity with driver-based forecasting, budgeting cycles and variance analysis, Experience preparing reports for senior stakeholders and supporting decision making, Experience in automation or reporting improvement initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "You will support planning and forecasting for GSK in Poland. You will work closely with finance, commercial and regional teams to prepare and challenge monthly and annual forecasts. You will analyse performance, create clear management reports, and help improve forecasting processes. We value curiosity, clear communication and collaboration. This role offers strong learning, visible impact and and a clear path to grow while contributing to GSK’s mission of uniting science, technology and talent to get ahead of disease together. _**Key responsibilities:**_ * Maintain and update financial models to deliver monthly and quarterly forecasts. * Consolidate inputs from local and regional teams and coordinate planning cycles. * Analyse variances between actuals, budgets and forecasts and provide clear explanations. * Produce monthly management reports and materials to support leadership decisions. * Run scenario and sensitivity analyses to assess risks and opportunities. * Propose and support process and system improvements to increase accuracy and efficiency. _Why You? Basic Qualification:_ * Bachelor’s degree in Finance, Accounting, Economics, Business or a related field. * 1–2 years’ experience in financial planning, forecasting, budgeting or related finance work. * Strong Excel skills including formulas, pivot tables and basic financial modelling. * Good written and spoken English for collaboration across teams. * Ability to meet deadlines while maintaining attention to detail. * Collaborative mindset and willingness to learn and support continuous improvement. _**Preferred Qualification:**_ * Experience with SAP, SAP Analytics Cloud, Power BI, Tableau or similar tools. * Progress toward or completion of a professional finance qualification (for example ACCA, CIMA, CPA). * Experience in pharmaceutical, healthcare, life sciences or consumer goods finance. * Familiarity with driver-based forecasting, budgeting cycles and variance analysis. * Experience preparing reports for senior stakeholders and supporting decision making. * Experience in automation or reporting improvement initiatives. **Working model** This role is hybrid. You will be expected to work from our Poland office regularly and be available for in-person collaboration. _**Why GSK?**_ Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. * Career at one of the leading global healthcare companies. * Contract of employment. * Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit). * Life insurance and pension plan. * Private medical package with additional preventive healthcare services for employees and their eligible. * Sports cards (Multisport). * Possibilities of development within the role and company’s structure. * Personalized learning approach (mentoring, online training’ platforms: Pluralsight, Business Skills, Harvard Manage Mentor, Skillsoft and external training). * Extensive support of work life balance (flexible working solutions, short Fridays option, health & well-being activities). * Supportive community and integration events. * Modern office with creative rooms, fresh fruits everyday. * Free car and bike parking, locker rooms and showers. #LI-GSK #LI-HYBRID Polish Salary Range / Polski przedział wynagrodzenia: PLN 89,250 to PLN 148,750The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.Roczny przedział wynagrodzenia zasadniczego brutto dla nowo zatrudnionych osób na tym stanowisku został wskazany powyżej dla każdej właściwej lokalizacji. Przedziały te uwzględniają szereg czynników, w tym umiejętności kandydata, doświadczenie, poziom wykształcenia oraz rynkowy poziom wynagrodzenia dla tego stanowiska W zależności od stanowiska i obowiązujących polityk wewnętrznych, rola ta może również uprawniać do otrzymania premii (jeśli ma zastosowanie i jest przyznawana na podstawie określonych, obiektywnych kryteriów) oraz/lub nagród za wyjątkowe wyniki (przyznawanych według uznania pracodawcy). Wszystkie świadczenia ustawowe będą zapewnione zgodnie z przepisami prawa polskiego. Mogą być także oferowane dodatkowe benefity, takie jak prywatna opieka medyczna, dodatkowe płatne dni wolne, ubezpieczenie na życie, prywatny plan emerytalny oraz w pełni płatny urlop rodzicielski i urlop na opiekę nad członkiem rodziny. Bardziej szczegółowe informacje na temat całkowitego pakietu wynagrodzenia i świadczeń przypisanego do tego stanowiska zostaną przekazane podczas procesu rekrutacyjnego. Przedziały wynagrodzenia dla innych krajów mogą być również widoczne, ponieważ na niektórych rynkach obowiązują przepisy dotyczące jawności wynagrodzeń, które wymagają zamieszczania takich informacji w ogłoszeniach o pracę, a wskazane lokalizacje mogą stanowić potencjalne miejsce wykonywania tej roli. Jeśli przedział wynagrodzenia nie jest podany w ogłoszeniu dla konkretnej lokalizacji lub kraju, odpowiednie informacje o wynagrodzeniu zostaną omówione w trakcie procesu rekrutacyjnego. Prosimy pamiętać, że poziom wynagrodzenia różni się w zależności od kraju i jest ustalany na podstawie umiejętności, doświadczenia, poziomu wykształcenia oraz rynkowego poziomu wynagrodzenia dla danego stanowiska. Oferty są zazwyczaj przedstawiane w granicach wskazanego przedziału, z uwzględnieniem umiejętności, doświadczenia i kwalifikacji kandydata, przy czym górna granica jest zwykle zarezerwowana dla kandydatów o bardzo dużym doświadczeniu lub w innych wyjątkowych okolicznościach zgodnych z tymi kryteriami. As an Inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [_pl.recruitment-adjustments @gsk.com_](mailto:pl.recruitment-adjustments@gsk.com) to discuss your needs. **** **Why GSK?** **Uniting science, technology and talent to get ahead of disease together.** GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. **Important notice to Employment businesses/ Agencies** GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at [_https://openpaymentsdata.cms.gov/_](https://openpaymentsdata.cms.gov/)", "summaryDescription" : "Planning and Forecasting Finance Analyst at GSK. Skills: Financial planning, Forecasting, Budgeting, Management reporting. Maintain and update financial models to deliver monthly. Consolidate inputs from local and regional teams and", "postedDate" : "2026-06-12T04:47:10.267", "createdAt" : "2026-06-12T04:47:10.243", "lastUpdated" : "2026-06-14T18:34:51.182", "ingestTimestamp" : "2026-06-12T04:47:10.243", "mongoId" : "6a2b415174d8ee00a0799794", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Warsaw/Planning-and-Forecasting-Finance-Analyst_442694-1", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modelling", "Variance analysis", "Scenario analysis", "Sensitivity analysis", "Curiosity", "Clear communication", "Attention to detail", "Willingness to learn", "Continuous improvement", "Financial planning", "Forecasting", "Budgeting", "Management reporting", "Process improvement", "System improvement", "Pharmaceutical finance", "Healthcare finance", "Life sciences finance", "Consumer goods finance", "Driver-based forecasting", "Budgeting cycles", "ACCA", "CIMA", "CPA", "Excel", "SAP", "SAP Analytics Cloud", "Power BI", "Tableau" ], "skillCount" : 29, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "69fe94fd4c40e2acd1121791", "title" : "Data Scientist II, Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-16T00:44:32.292", "fingerprint" : "30363cce4cbbbfb6d346562ad087237464169b6b482c56f541fd8376bed16332", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414903/apply", "externalId" : "0f59ecb9-2d1f-4cd5-8701-15cd9386fcc9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, R, Spark, AWS, GCP, Azure, SageMaker, BigQuery, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker, Snowflake, Redshift, Databricks, Dbt, Airflow, Delta Lake", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Predictive modeling", "Time series analysis", "A/B testing", "Causal inference", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data manipulation", "Data visualization", "Experiment design", "Causal inference methods" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Perform statistical analysis and modeling, Build and maintain business intelligence dashboards, Collaborate with engineering teams, Communicate findings to stakeholders, Conduct A/B testing and analyze results, Develop predictive models for long-term planning, Forecast future trends and business performance, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product managers; Business stakeholders", "domainKnowledge" : "Long-term planning; Forecasting methodologies; E-commerce analytics", "domainList" : [ "long-term-planning", "forecasting-methodologies", "e-commerce-analytics" ], "domainSpecificKnowledge" : [ "Long-term planning", "Forecasting methodologies", "E-commerce analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "BigQuery", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker", "Snowflake", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve long-term planning accuracy; Enhance business forecasting capabilities; Drive data-informed business decisions", "qualificationsBasic" : "5+ years of experience in data science or related field, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with data modeling and statistical analysis", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with large-scale data processing frameworks (e.g., Spark), Experience with cloud platforms (AWS, GCP, Azure), Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data visualization tools (e.g., Tableau, Power BI)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Scientist to drive scientific tooling supporting how Amazon's business customers interact with LTPF forecasts and plans. As a science leader within the LTPF, you will be responsible for building to the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Data Scientist in LTPF (Long-Term Planning & Forecasting): - You will develop causal inference models, automated explainability frameworks, and variance bridging methodologies that translate LTPF's forecasts and plans into actionable business intelligence. - Your work will enable leadership to understand why forecasts and actuals diverge, what is driving demand shifts, and how strategic decisions propagate through the planning ecosystem. - You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue, price, units, inventory, and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles. - You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines, applying techniques from causal inference, time-series econometrics, and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces. - You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred Qualifications: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience effectively communicating complex concepts through written and verbal communication Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Data Scientist II, Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-14T19:36:58.335", "createdAt" : "2026-06-14T19:36:58.335", "lastUpdated" : "2026-06-16T00:44:32.292", "ingestTimestamp" : "2026-06-14T19:36:58.335", "mongoId" : "69fe94fd4c40e2acd1121791", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414903/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data manipulation", "Data visualization", "Experiment design", "Causal inference methods", "Data Science", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Predictive modeling", "Time series analysis", "A/B testing", "Causal inference", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Long-term planning", "Forecasting methodologies", "E-commerce analytics", "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "BigQuery", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker", "Snowflake", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b2df174d8ee00a078462d", "title" : "Lead - Global Forecasting", "company" : "Sanofi", "industry" : "Pharmaceutical", "salary" : { "min" : 59600.0, "max" : 89400.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Barcelona", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-14T22:32:46.052", "fingerprint" : "0e78737d122afaf1a83dc50eddcc8dc08407f2f55d5d9e1810a5fba4b7075114", "source" : "workday", "language" : "en", "applyUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Barcelona/Lead---Global-Forecasting_R2859817", "externalId" : "R2859817", "industryFunction" : { }, "locationPoint" : "12.8683,124.1419", "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, R, Python, VBA", "professionalSkills" : [ "Forecasting", "Strategic planning", "Market access", "Brand strategy", "Commercial operations", "Process excellence", "Data analysis", "Financial analysis" ], "hardSkillsList" : [ "Patient forecasting", "Volume forecasting", "Revenue forecasting", "Demand study", "Payer mix analysis", "Price volume waterfall", "Analogue analysis", "Scenario development", "Supply chain planning", "ROI analysis", "Model input review" ], "softSkillsList" : [ "Strategic thinking" ], "hardSkills" : [ { "name" : "Patient forecasting", "level" : "intermediate" }, { "name" : "Volume forecasting", "level" : "intermediate" }, { "name" : "Revenue forecasting", "level" : "intermediate" }, { "name" : "Demand study", "level" : "intermediate" }, { "name" : "Payer mix analysis", "level" : "intermediate" }, { "name" : "Price volume waterfall", "level" : "intermediate" }, { "name" : "Analogue analysis", "level" : "intermediate" }, { "name" : "Scenario development", "level" : "intermediate" }, { "name" : "Supply chain planning", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Model input review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" } ], "majorSkills" : "Forecasting, Pharmaceutical industry, Commercial strategy", "majorSkillsList" : [ "Forecasting", "Pharmaceutical industry", "Commercial strategy" ], "coreResponsibilities" : "Lead forecasting activities, Develop patient / volume / revenue forecasts, Provide strategic insights, Support model enhancements, Incorporate GTN and access assumptions, Conduct payer mix analyses, Generate price / volume waterfalls, Use analogue analyses & external forecasts, Develop forecast scenarios, Explain forecast assumptions & outputs, Develop forecast review presentations, Ensure deliverables align to Global guidance, Integrate with Global forecast aggregation, Revise near-term forecast, Monitor areas of focus, Provide data-driven insights, Deliver forecast for supply chain planning, Speak to forecast variances, Assess value of proposed initiatives, Deliver ad-hoc analyses, Conduct periodic reviews of key model inputs, Supervise day-to-day operations of Hub teams, Fulfill business needs, Review completed work, Manage Hub activity timelines / prioritization, Advise Hub contributors on GTMC processes, Develop projects in support of forecasting", "teamCollaboration" : "Marketing brand teams; Cross-functional partners; Finance business partners; Market Research; Market Access teams; Local/regional stakeholders; Commercial leadership; Global leadership; Demand Planning; Sales teams; Patient Support Services; Data Management; Analytics teams; External data providers; Hub contributors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Pharmaceutical industry; Biotech industry; Therapeutic areas; Oncology; Payer environment; Health insurance", "domainList" : [ "pharmaceutical-industry", "biotech-industry", "therapeutic-areas", "oncology", "payer-environment", "health-insurance" ], "domainSpecificKnowledge" : [ "Pharmaceutical industry", "Biotech industry", "Therapeutic areas", "Oncology", "Payer environment", "Health insurance" ], "toolProficiency" : [ "Microsoft Excel", "PowerBI", "Tableau", "Snowflake", "Databricks" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "7+ years of experience in pharmaceutical / biotech, Microsoft Excel expertise required, Demonstrated ability to design, develop, and maintain short and long-term forecast", "qualificationsPreferred" : "Master's Degree or MBA preferred, Experience in relevant Therapeutic Areas, Oncology in particular, Experience with VBA or programming languages (e.g., SQL, R, Python, etc.) is a plus, Proficiency accessing and manipulating large data sets via cloud-based data warehouse / analytics platforms (e.g., Snowflake, Databricks, etc.) is a plus, Familiarity with data visualization and business intelligence tools (e.g., PowerBI, Tableau, etc.), Knowledge of pharmaceutical industry data sources, Knowledge of payer / health insurance environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "# **Lead - Global Forecasting** * _Location: Barcelona, Spain_ At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into reality for millions of people. **Strategic Context:** The Go-to-Market Capabilities (GTMC) organization is charged with delivering best-in-class capabilities to bring speed and increased value to commercial operations. It will refine priorities across products, markets, and the pipeline through dynamic resources allocation and efficiencies. GTMC will accelerate and improve key capabilities to do more with less and facilitate the best-informed strategic decision making across the organization. The GTMC organization aims to: * Centralize Go-to-Market operational tasks across GBUs * Standardize best in class capabilities, strengthen global support, and implement a better vertical reporting structure within GTMC from local to global * Define ways of working, bringing clarity on the interactions across GBUs, Digital, and Commercial executional support teams from Sanofi hubs to optimize process excellence and efficiency The **Lead, Forecasting – Model (Associate Director)** will be responsible for leading forecasting activities of treatments within the Sanofi portfolio as a part of the broader Insights and Analytics (I&A) team. This individual will be an integral partner to the Sanofi’s Commercial team, developing short & long-range sales forecasts for in-line and future indications, while providing strategic insights on potential threats / opportunities. This position will be based in Barcelona, Spain and report to the **Head, Insights & Analytics Capabilities Hub**. **RESPONSIBILITIES** : * Collaborate with Marketing/Brand teams and cross-functional partners to develop, document, and communicate accurate long-term patient / volume / revenue forecasts for annual Strategic Planning & Budget cycles * Collaborate with Finance business partners and forecasters in other therapeutic areas to coordinate forecast cycle deliverables and promote harmonization across assets & functions * Support model enhancements to ensure forecasts for in-line & launch products reflect strategic direction of each brand (e.g., segmentation, patient flow, etc.) * Collaborate with Market Research to plan & design studies that provide key forecast inputs (e.g., demand study / conjoint exercises) * Partner with Finance and Market Access teams to incorporate latest GTN and access assumptions, conduct payer mix analyses, and generate price / volume waterfalls * When necessary, use resources such as analogue analyses & external forecasts (e.g., syndicated / analyst reports) to pressure-test forecast assumptions * Develop forecast scenarios to quantify potential risks & opportunities * Contribute to Brand / Commercial leadership reviews by explaining key forecast assumptions & outputs, from epidemiology through ex-factory unit volumes * Partner with Finance to develop & deliver forecast review presentations for US Commercial and Global leadership * Work with local/regional stakeholders to ensure that deliverables across markets align to Global guidance and properly integrate with Global forecast aggregation process * Collaborate with Commercial & Finance leadership to revise near-term forecast, accounting for latest actuals & emerging market opportunities / threats * Conduct ad-hoc meetings with brand leads to review key updates, monitor areas of focus, and proactively provide data-driven insights * Work with Finance and Demand Planning to ensure the most appropriate forecast (by SKU) is delivered for monthly supply chain planning activities * When necessary, attend S&OP meetings to speak to forecast variances or events (e.g., launches, new indications, new devices, etc.) * Collaborate with Marketing, Sales, Patient Support Services and Finance teams to assess the value of proposed initiatives & interventions; deliver ad-hoc analyses that leverage forecast models to answer key business questions, e.g., co-promotion potential or ROI analysis * Collaborate with Data Management, Analytics, and external data providers to conduct periodic reviews of key model inputs to ensure forecast accuracy * Directly supervise day-to-day operations of Hub teams, ensuring contributors are successfully implementing GTMC processes for Sanofi. Consistent oversight of related Hub activities is performed whether Hub contributors report to this role or not. * Collaborate with Hub contributors to fulfill business needs, conduct regular meetings with the Hub to review completed work and manage Hub activity timelines / prioritization * Advise Hub contributors on GTMC processes, involved I&A tools, inputs and outputs as well as business principles. * Partner with the Hub on development of projects in support of forecasting and commercial assessment **BASIC QUALIFICATIONS:** * BA/BS with a minimum of 7-years of experience in pharmaceutical / biotech forecasting; equivalent combination of education (MS / MBA / PhD) & experience may be considered * Strong business acumen, with well-developed communication & presentation skills * Excellent analytical and forecasting skills, with demonstrated ability to design, develop, and maintain short and long-term forecast models; Microsoft Excel expertise required * Proven strategic thinking ability, with deep understanding of the pharmaceutical / biotech landscape; experience working in relevant therapeutic areas is a plus * Proactive in nature, detailed and structured thinker, and self-motivated * Promotes a good working relationship with supervisors, co-workers, and staff; ability to self-manage time and to meet deadlines **PREFERRED QUALIFICATIONS:** * Master’s Degree or MBA preferred * **Experience in relevant Therapeutic Areas, Oncology in particular** * Ability to thrive in a fast-paced environment, comfortable with ambiguity, and with a track record of delivering exceptional results * Authentic, humble team-player with a strong desire to learn & develop new skills * Excellent project management skills, able to deftly balance multiple projects / priorities * Ability to work in a matrixed environment with many cross-functional partners to understand and influence key business decisions * Experience in applying AI / Machine Learning / data science methodologies to complex quantitative problems * Familiarity with data visualization and business intelligence tools (e.g., PowerBI, Tableau, etc.) * Experience with VBA or programming languages (e.g., SQL, R, Python, etc.) is a plus, as is proficiency accessing and manipulating large data sets via cloud-based data warehouse / analytics platforms (e.g., Snowflake, Databricks, etc.) * Knowledge of pharmaceutical industry data sources (e.g., IQVIA anonymous patient-level data, IQVIA syndicated reports, internal patient services & specialty pharmacy data, etc.) and payer / health insurance environment **Why choose us?** Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. #LI-Hybrid #BarcelonaHub #SanofiHubs # Pursue _progress_ , discover _extraordinary_ Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our [ALL IN video](https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at [sanofi.com](https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness)! The salary range for this position is :€59.600,00 - €89.400,00 Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.", "summaryDescription" : "Lead - Global Forecasting at Sanofi. Skills: Forecasting, Pharmaceutical industry, Commercial strategy. Lead forecasting activities. Develop patient / volume / revenue forecasts", "postedDate" : "2026-06-12T07:04:02.662", "createdAt" : "2026-06-12T07:04:02.616", "lastUpdated" : "2026-06-14T22:32:46.052", "ingestTimestamp" : "2026-06-12T07:04:02.616", "mongoId" : "6a2b2df174d8ee00a078462d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://sanofi.wd3.myworkdayjobs.com/SanofiCareers/job/Barcelona/Lead---Global-Forecasting_R2859817", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Patient forecasting", "Volume forecasting", "Revenue forecasting", "Demand study", "Payer mix analysis", "Price volume waterfall", "Analogue analysis", "Scenario development", "Supply chain planning", "ROI analysis", "Model input review", "Strategic thinking", "Forecasting", "Pharmaceutical industry", "Commercial strategy", "Strategic planning", "Market access", "Brand strategy", "Commercial operations", "Process excellence", "Data analysis", "Financial analysis", "Project management", "Biotech industry", "Therapeutic areas", "Oncology", "Payer environment", "Health insurance", "Microsoft Excel", "PowerBI", "Tableau", "Snowflake", "Databricks" ], "skillCount" : 33, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharmaceutical" }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "69f9b8024c40e2acd1113f05", "title" : "Data Science - Forecasting & Lab", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:38:24.777", "fingerprint" : "23ecc782884d143ad7924f4a1a72b617ce68abab82edd09ff21a32b6f28de075", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410759/apply", "externalId" : "bcc201f8-6d55-4a70-b828-8ad2628bcee2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Machine learning", "professionalSkills" : [ "Supply chain optimization", "Inventory management", "Algorithm development", "Computational experiments" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning modeling", "Data analysis", "Model enhancement", "Parameter tuning" ], "softSkillsList" : [ "Analytical problem solver", "Synthesizing insights", "Communicating insights" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model enhancement", "level" : "intermediate" }, { "name" : "Parameter tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical problem solver" }, { "name" : "Synthesizing insights" }, { "name" : "Communicating insights" } ], "majorSkills" : "Data science, Machine learning, Statistical modeling", "majorSkillsList" : [ "Data science", "Machine learning", "Statistical modeling" ], "coreResponsibilities" : "Analyze data, Improve machine learning methodologies, Develop new data sources, Test model enhancements, Run computational experiments, Fine-tune model parameters, Formalize model assumptions, Create outlier definitions, Develop outlier identification methods, Explain outlier reasonableness, Identify outlier fixes, Communicate with business customers, Educate on research, Share insights, Share recommendations, Utilize code for analysis, Build statistical models, Build machine learning models, Build algorithms", "teamCollaboration" : "Work with scientists; Collaborate with researchers; Interface between scientists; Interface between engineers; Interface between business stakeholders", "domainKnowledge" : "Supply chain; Inventory management; Demand forecasting; Product life cycle", "domainList" : [ "supply-chain", "inventory-management", "demand-forecasting", "product-life-cycle" ], "domainSpecificKnowledge" : [ "Supply chain", "Inventory management", "Demand forecasting", "Product life cycle" ], "communicationSkills" : "Verbal communication; Written communication; Communicating insights; Communicating recommendations", "continuousLearning" : "Publishing papers", "innovationCreativity" : "Innovate for the future", "problemSolvingSkills" : "Analytical problem solver", "qualificationsBasic" : "3+ years data querying languages, 2+ years data scientist experience, 3+ years machine learning/statistical modeling, Bachelor's degree", "qualificationsPreferred" : "Experience in Python, Experience in Perl, Experience in another scripting language, Experience in ML role, Experience in data scientist role, Experience with large technology company", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty of demand, pricing, promotions, supply, vendor lead times, and product life cycle. We optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices, promotions, similar products, and other data from our product catalog in order to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers both internally and externally. Key job responsibilities Major responsibilities include: - Analysis of large amounts of data from different parts of the supply chain and their associated business functions - Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models - Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them - Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations - Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms A day in the life As a Data Scientist in SCOT, you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. Basic Qualifications: - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment Preferred Qualifications: - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Data Science - Forecasting & Lab at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistical modeling. Analyze data. Improve machine learning methodologies", "postedDate" : "2026-06-13T09:49:53.664", "createdAt" : "2026-06-13T09:49:53.664", "lastUpdated" : "2026-06-15T04:38:24.777", "ingestTimestamp" : "2026-06-13T09:49:53.664", "mongoId" : "69f9b8024c40e2acd1113f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410759/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning modeling", "Data analysis", "Model enhancement", "Parameter tuning", "Analytical problem solver", "Synthesizing insights", "Communicating insights", "Data science", "Machine learning", "Supply chain optimization", "Inventory management", "Algorithm development", "Computational experiments", "Supply chain", "Demand forecasting", "Product life cycle" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c798f74d8ee00a0941da4", "title" : "Fanatics Collect (including Live) and Topps. com Global Legal Lead", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 195500.0, "max" : 285000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-15T08:08:56.730", "fingerprint" : "fcbd50bb99a6fa6d9330e683f477f3e26d72194c574648d5c0860ffa747617e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4257712009", "externalId" : "4257712009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "Los Angeles, California, United States; New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements" ], "hardSkillsList" : [ "Consumer protection law", "E-commerce law", "Digital payments", "Subscription models", "Loyalty programs", "Content regulation", "IP use", "User-generated content", "Influencer marketing", "Technology agreements", "Platform partnerships", "SaaS contracts", "Licensing contracts", "Vendor agreements", "Sweepstakes rules", "Promotional terms" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Consumer protection law", "level" : "intermediate" }, { "name" : "E-commerce law", "level" : "intermediate" }, { "name" : "Digital payments", "level" : "intermediate" }, { "name" : "Subscription models", "level" : "intermediate" }, { "name" : "Loyalty programs", "level" : "intermediate" }, { "name" : "Content regulation", "level" : "intermediate" }, { "name" : "IP use", "level" : "intermediate" }, { "name" : "User-generated content", "level" : "intermediate" }, { "name" : "Influencer marketing", "level" : "intermediate" }, { "name" : "Technology agreements", "level" : "intermediate" }, { "name" : "Platform partnerships", "level" : "intermediate" }, { "name" : "SaaS contracts", "level" : "intermediate" }, { "name" : "Licensing contracts", "level" : "intermediate" }, { "name" : "Vendor agreements", "level" : "intermediate" }, { "name" : "Sweepstakes rules", "level" : "intermediate" }, { "name" : "Promotional terms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Digital platforms, Legal counsel, Compliance", "majorSkillsList" : [ "Digital platforms", "Legal counsel", "Compliance" ], "coreResponsibilities" : "Serve as primary legal advisor, Partner with product, engineering, design, marketing, privacy, compliance,, Provide pragmatic, solutions-oriented guidance, Advise on product features, Advise on user experiences, Advise on customer engagement strategies, Advise on go-to-market initiatives, Collaborate with international business and legal teams, Support global expansion, Support local market adaptations, Support cross-jurisdiction regulatory compliance, Advise on consumer protection issues, Advise on e-commerce law issues, Advise on digital payments issues, Advise on subscription models issues, Advise on loyalty/rewards programs issues, Advise on content regulation issues, Advise on IP use issues, Advise on user-generated content issues, Advise on influencer marketing issues, Draft agreements, Review agreements, Negotiate agreements, Develop global consumer-facing terms, Maintain global consumer-facing terms, Develop platform rules, Maintain platform rules, Develop privacy-related disclosures, Maintain privacy-related disclosures, Develop sweepstakes/contest rules, Maintain sweepstakes/contest rules, Develop promotional terms, Maintain promotional terms, Support privacy-by-design processes, Advise on global consent, Advise on data governance", "teamCollaboration" : "Global product teams; Global engineering teams; Global design teams; Global marketing teams; Global privacy teams; Global compliance teams; Global operations teams; International business teams; International legal teams", "domainKnowledge" : "Digital platforms; Technology; Global DTC; Sports collectibles industry; Sports memorabilia; Digital trading cards; Sports betting; Sportsbook; iGaming platform", "domainList" : [ "digital-platforms", "technology", "global-dtc", "sports-collectibles-industry", "sports-memorabilia", "digital-trading-cards", "sports-betting", "sportsbook", "igaming-platform" ], "domainSpecificKnowledge" : [ "Digital platforms", "Technology", "Global DTC", "Sports collectibles industry", "Sports memorabilia", "Digital trading cards", "Sports betting", "Sportsbook", "iGaming platform" ], "communicationSkills" : "Summarize advice; Expand analysis", "specialRequirements" : "Ability to travel frequently, Travel on short notice", "outcomesObjectives" : "Build world-class collector experiences; Ensure compliance across multiple jurisdictions; Ensure compliance across product categories", "qualificationsBasic" : "Prior comparable experience a must, Deep understanding of digital platforms, Deep understanding of technology", "qualificationsPreferred" : "Understanding of innovative legal topics", "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 transforming the global collectibles industry by building the world’s most comprehensive, fan-focused ecosystem of physical and digital products. As part of Fanatics’ broader mission to create the ultimate digital sports platform where fans can buy, collect, and engage, we connect millions of collectors through platforms such as Topps.com, Fanatics Collect, Fanatics Live, and Topps Digital. The Legal team at Fanatics Collectibles is a key strategic partner to our product, engineering, operations, marketing, and business leadership teams. We enable innovation at speed while ensuring regulatory compliance, consumer trust, and long-term product integrity. Role Summary Fanatics Collectibles is seeking a seasoned lawyer to lead legal for Fanatics Collect, including Fanatics Live, and Topps.com as well future DTC platforms on a global basis. A deep understanding of digital platforms (Global DTC) and technology is essential for this role to support the global operations of such platforms. Prior comparable experience a must. The legal lead will serve as an embedded legal advisor throughout the full product lifecycle — from early ideation and design, to development, launch, and iteration across Topps.com, Fanatics Collect, Fanatics Live, Topps Digital, and future DTC platforms on a global basis. The legal lead will serve as primary overall counsel for these businesses covering all areas of legal, compliance and risk. This role requires a lawyer who not only understands technology, digital commerce, and platform risk, but who has a deep understanding of innovative legal topics and also shares our passion for relentlessly enhancing the collector experience. You will use your legal expertise to help build world-class collector experiences that are innovative, compliant, globally scalable, and grounded in fan trust. You will work cross-functionally with U. S. and international stakeholders to help shape product strategy, guide responsible innovation, and ensure compliance across multiple jurisdictions and product categories. A super exciting senior opportunity that involves working directly with our leadership team. The position is in-office and based in either New York or LA. Key Responsibilities Serve as the primary legal advisor for our global direct-to-consumer digital and mobile platforms (Topps.com, Fanatics Collect, Fanatics Live, Topps Digital and future platforms) across global markets. Partner closely with global product, engineering, design, marketing, privacy, compliance, and operations teams from concept through launch and lifecycle iteration. Provide pragmatic, solutions-oriented guidance on product features, user experiences, customer engagement strategies, and go-to-market initiatives worldwide. Collaborate effectively with international business and legal teams to support global expansion, local market adaptations, and cross-jurisdiction regulatory compliance. Advise on all issues on a general and global basis including issues related to consumer protection, e-commerce law, digital payments, subscription models, loyalty/rewards programs, content regulation, IP use, user-generated content, and influencer marketing. Draft, review, and negotiate all agreements to support our global platforms, including technology agreements, platform partnerships, SaaS and licensing contracts, and vendor agreements supporting product operations. Develop and maintain global consumer-facing terms and policies, including terms of use, platform rules, privacy-related disclosures (in coordination with our privacy team), sweepstakes/contest rules, and promotional terms. Support privacy-by-design processes and advise on global consent, data governance, cross-border data flows, and other privacy and data-use considerations. Monitor and interpret global regulatory developments affecting digital commerce, consumer engagement, digital content, advertising, and emerging technologies. Help develop scalable legal processes, workflows, and governance mechanisms to support efficient, compliant product development across global markets. Deliver internal training and guidance to business teams to promote strong compliance and product-risk awareness. Qualifications Juris Doctor (JD) from an accredited law school; admitted to practice in at least one U. S. state (in-house registration acceptable). 10+ years of legal experience, with at least 3 years advising on global direct-to-consumer technology, product, digital media, or e-commerce matters at a top law firm or in-house at a technology or consumer-facing company. Strong experience with consumer protection, e-commerce law, digital advertising/marketing, and data privacy (U. S. and ideally international). Demonstrated ability to provide practical, business-oriented legal advice in a fast-paced environment with competing priorities. Proven experience working with product, engineering, design, marketing, and operations teams and across global time zones. Excellent judgment, communication, and interpersonal skills; ability to translate complex legal concepts into clear, actionable guidance. Passion for innovation and for continuously enhancing the collector experience. Preferred: experience supporting marketplace or high-traffic consumer platforms; familiarity with IP/content licensing, sweepstakes/promotion rules, payment regulation, and global privacy frameworks such as GDPR and CPRA. Knowledge Skills and Abilities Be a doer whose ready, willing and able to roll up your sleeves, jump in and get things done. Be a self-starter with a strong work ethic, capable of taking ownership of projects/matters. Have a strong desire to assume a wide variety of responsibilities, be flexible and grow with the company. Able to accomplish multiple tasks at once while balancing competing objectives and deadlines. Produce high-quality carefully crafted work product in a timely manner. Have strong interpersonal skills and ability to forge strong relationships with key stakeholders throughout the organization. Work effectively both independently and as a team player in a team oriented environment, friendly and excited about “play nice” culture. Be confident, be a collaborator and initiative taker. Do not watch the clock, be flexible, invested, committed and immersed in the excitement about and commitment to the success of our businesses. Strong understanding of the Collectibles businesses and overall Fanatics operations. Be a creative thinker who can initiate and develop alternative approaches to complex issues. Have a “how” state of mind, not a yes/no advisor. Professional and have a perfect sense of integrity, reliable and does the right thing. Excellent organizational skills and attention to detail. Excellent legal and business acumen and problem-solving skills. Exceptional communication skills (verbal and written) with the ability to synthesize complex data for a range of audiences. Ability to advise all levels of seniority, summarize bottom line concise advice and in the same time able to expand to full spectrum of details and analysis as appropriate. Able to function in excellence in a high-paced, entrepreneurial and constantly evolving and fast-moving environment. Aim to be best in class – goal oriented and task focused learner who is innovative and influential. Driven to win, ambassador of the Fanatics brand who brings passion, energy and positivity into the workplace. Ability to travel frequently on short notice. 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 The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Los Angeles Salary Range $195,500—$285,000 USD The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $212,500—$305,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Fanatics Collect (including Live) and Topps. com Global Legal Lead at Fanatics Collectibles. Skills: Digital platforms, Legal counsel, Compliance. Serve as primary legal advisor. Partner with product, engineering, design, marketing, privacy, compliance,", "postedDate" : "2026-06-14T03:09:49.984", "createdAt" : "2026-06-14T03:09:49.984", "lastUpdated" : "2026-06-15T08:08:56.730", "ingestTimestamp" : "2026-06-14T03:09:49.984", "mongoId" : "6a2c798f74d8ee00a0941da4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195500, "salaryAnnualMax" : 285000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Consumer protection law", "E-commerce law", "Digital payments", "Subscription models", "Loyalty programs", "Content regulation", "IP use", "User-generated content", "Influencer marketing", "Technology agreements", "Platform partnerships", "SaaS contracts", "Licensing contracts", "Vendor agreements", "Sweepstakes rules", "Promotional terms", "Leadership", "Digital platforms", "Legal counsel", "Compliance", "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements", "Technology", "Global DTC", "Sports collectibles industry", "Sports memorabilia", "Digital trading cards", "Sports betting", "Sportsbook", "iGaming platform" ], "skillCount" : 32, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6960824e0937eae70e9c8620", "title" : "Budget Analyst", "company" : "Texas Workforce Commission", "location" : "826338", "locations" : [ "826338", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

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Transforms raw data into actionable insights. Ensures accuracy and timeliness of strategic plan, legislative appropriations requests, fiscal notes, analysis of legislation and requests for federal funding. Coordinates budget preparation to provide management with expenditure data, trends, and recommendations. Informs management of budget deviations, problems, and events likely to affect agency's mission and resources. Prepares operating budgets. May supervise others.", "teamCollaboration" : "Collaborate with internal stakeholders to ensure accuracy, quality, and compliance.", "toolProficiency" : [ "queries, reports" ], "communicationSkills" : "verbal; written", "problemSolvingSkills" : "analysis of legislation; analysis of fiscal management information; statistical analyses; management problems", "specialRequirements" : "Must be a Texas resident or willing to relocate to Texas. Not considering applications from individuals who require sponsorship for an employment visa. Position is security sensitive.", "qualificationsBasic" : "Four years of full-time experience in budget preparation, accounting, auditing, financial planning or management, or positions which provided knowledge of public sector budgetary controls, administrative procedures, and related state and federal regulatory laws. Relevant academic credits may be applied toward experience qualifications for this position.", "qualificationsPreferred" : "Skill in analyzing financial data, computer operations and using applicable computer software. Ability to analyze fiscal management information to determine appropriate use of funds. Perform statistical analyses. Identify and develop budgetary reports and schedules. Analyze management problems and develop and present solutions. Strong verbal and written communication skills.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is in our Workforce Development Division located at 1117 Trinity Street, Austin, Texas. TWC is not considering applications from individuals who require sponsorship for an employment visa, including 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: Budget professional who performs budget preparation and analysis work. Work Involves the planning, organizing, coordinating, and evaluating of budgetary activities and performance measures. You possess strong multi-tasking and organization skills. You are a critical thinker who will collaborate with internal stakeholders to ensure accuracy, quality, and compliance. WHAT YOU WILL DO: The Budget Analyst IV performs advanced (senior-level) budget preparation and analysis work. Performs advanced (senior-level) budget preparation and analysis work. YOU WILL BE TRUSTED TO: -Transform raw data from queries and reports into clear, actionable insights through compilation, review, and analysis. -Ensure accuracy and timeliness of submission of the strategic plan, legislative appropriations requests, fiscal notes, analysis of legislation and requests for federal funding. -Coordinate the preparation of budgets to provide management with expenditure data, trends, and recommendations. -Inform management of budget deviations, problems, and events likely to affect operations; explains causes; and measures effect on the agency’s mission and resources. -Prepare and/or coordinates the preparation of operating budgets. -May supervise others. -Perform related work as assigned. YOU QUALIFY WITH: -Four years of full-time experience in budget preparation, accounting, auditing, financial planning or management, or positions which provided knowledge of public sector budgetary controls, administrative procedures, and related state and federal regulatory laws. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Knowledge of legal restrictions governing allocation of funds, accounting, budgetary, and management principles, practices and procedures. -Skill in analyzing financial data, computer operations and using applicable computer software. -Ability to analyze fiscal management information to determine appropriate use of funds. Perform statistical analyses. Identify and develop budgetary reports and schedules. Analyze management problems and develop and present solutions. -Strong verbal and written communication skills. YOU GAIN: - A Family Friendly Certified Workplace. - Regular telecommuting - Competitive starting salary: $6,825.00 – 7,166.25/month - 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_AccountingAuditingandFinance.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 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" : "Budget Analyst at Texas Workforce Commission. Skills: budget preparation, budget analysis, financial data analysis, communication skills. Performs advanced (senior-level) budget preparation and analysis work. Transforms raw data into actionable insights. Ensures accuracy and timeliness of strategic plan, legislative appropriations requests, fiscal notes, analysis of legislation and requests for federal funding. 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Our mission is to ensure efficient, compliant, and optimized trading operations in a rapidly evolving energy market. Trade Management and Support function plays an important role in ensuring data compliance and accuracy within the ETRM system, while coordinating closely with market traders, supply operations, finance, and other stakeholders to support smooth and efficient trading processes. This role is essential for maintaining operational excellence and supporting the CKETS Trading Team in Geneva from the Circle K Business Centre in Riga. **Circle K Business Centre in Riga, Latvia** is looking for: **Trade Management and Support Officer** **Type of Employment:** Permanent **Location** : Riga, Latvia **Visa requirements:** A valid work permit from the EU/EEA (relocation assistance is not provided) **Main Responsibilities:** * Perform detailed trade setup and validation within the ETRM system. Ensure accurate pricing formula modelling, fuel quotations, and alignment with commercial terms. * Ensure compliance with internal controls and requirements, validating trade documentation and system setups. * Coordinate with internal stakeholders to resolve discrepancies between commercial contracts and ETRM deal setups. * Manage and validate trade capture promptly after commercial transactions have been agreed upon. * Oversee the process through final execution, settlement, and payment, while ensuring end-to-end compliance and accuracy. * Leverage ETRM expertise and a strong understanding of trading activities. to contribute to process improvements and simplification initiatives within the function. **Main requirements:** * Degree in Master Data, Business, Finance, Economics, or a related field. * Strong analytical skills with the ability to deep-dive into pricing formulas. * Ability to manage multiple tasks, support diverse stakeholders simultaneously, and adapt effectively to a dynamic trading environment. * Proficiency in Excel and Power BI, with strong system skills and experience handling large datasets. * Strong interpersonal and communication skills, with the ability to communicate effectively and collaborate across teams. * Excellent written and verbal English skills for communication with colleagues across Europe. * Experience with ETRM, Master Data, ERP, or accounting systems is considered an advantage. **What you can expect at Circle K:** * For 6 years in a row, Circle K Business Centre has been awarded 1st place in the ‘CV-Online TOP Employer - International Business Services category.’ * Monthly salary:**starting from 1800 EUR** gross. * Covered tariff plan for your mobile phone. * Health insurance. * Employee discounts in our stores. * And more! **Interested?** We encourage you to apply by **June 30, 2026!** **We are looking forward to your application!** _**Circle K Business Centre SIA**_ _PVN Nr: LV40103511774_ _Duntes iela 6, Rīga, Latvija LV-1013_", "summaryDescription" : "Trade Management and Support Officer at Circle K Energy Trading SA. 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New York, New York, United States; Austin, Texas, United States; Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Program management", "Project management", "Cross-functional leadership", "Stakeholder management", "Operational planning", "Forecasting", "Process improvement", "Resource allocation" ], "hardSkillsList" : [ "Data analysis", "Risk assessment", "Budget management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "majorSkills" : "Program management, Operational planning, Cross-functional coordination", "majorSkillsList" : [ "Program management", "Operational planning", "Cross-functional coordination" ], "coreResponsibilities" : "Develop and execute long-term strategic plans, Manage and coordinate cross-functional project teams, Oversee operational planning and forecasting processes, Identify and mitigate project risks, Track and report on project progress and key, Collaborate with stakeholders to define project scope and, Drive continuous improvement initiatives within operational processes, Manage project budgets and resource allocation", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement; External vendors", "projectManagementSkills" : [ "Program management", "Project management", "Agile methodologies", "Waterfall methodologies", "Risk management", "Scope management", "Schedule management", "Budget management" ], "domainKnowledge" : "Long-term planning; Forecasting methodologies; Operational efficiency", "domainList" : [ "long-term-planning", "forecasting-methodologies", "operational-efficiency" ], "domainSpecificKnowledge" : [ "Long-term planning", "Forecasting methodologies", "Operational efficiency" ], "toolProficiency" : [ "Microsoft Project", "Excel", "PowerPoint" ], "communicationSkills" : "Executive presentations; Status reporting; Cross-functional communication", "documentationSkills" : "Project documentation; Process documentation", "problemSolvingSkills" : "Root cause analysis; Strategic problem solving", "outcomesObjectives" : "Deliver strategic plans on time; Improve operational efficiency; Achieve project milestones", "qualificationsBasic" : "5+ years of experience in program or project management, Bachelor's degree or equivalent practical experience, Experience managing complex, cross-functional projects", "qualificationsPreferred" : "Master's degree or MBA, Experience with operational planning and forecasting, Familiarity with supply chain or logistics operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Senior Program Manager to own the strategic vision and execution for how Amazon's business customers interact with LTPF forecasts and plans. As a senior leader within the LTPF, you will be responsible for defining the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Senior Program Manager in LTPF: - You will architect the customer engagement experience, ensuring business stakeholders can seamlessly view, audit, and leverage LTPF outputs for strategic planning. - You will lead innovation and use of customer-facing tools, what-if analysis frameworks, and forecast intervention workflows that enable the full business to incorporate strategic decisions into LTPF's forecasts and plans. - You will serve as the strategic bridge between LTPF's technical outputs and diverse business stakeholders. - You will own the end-to-end customer journey, from initial forecast consumption to what-if scenario exploration to submitting forecast interventions. - You will gather insights, identify systemic gaps, and drive strategic initiatives to transform the experience. - You will use data-driven insights to continuously improve how Operations, Finance, and Stores teams interact with LTPF. - You will partner with cross-functional stakeholders to determine project priorities, manage the lifecycle of complex initiatives from concept to delivery, and negotiate resources. - You will forge partnerships with Product, Tech, Science, and Operations teams to build enhanced capabilities. - You will regularly present to Directors and VPs, publish strategic planning documents, and own quarterly and annual reviews with senior leadership. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 115,600.00 - 160,000.00 USD annually", "summaryDescription" : "Sr Program Manager, Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Program management, Operational planning, Cross-functional coordination. Develop and execute long-term strategic plans. Manage and coordinate cross-functional project teams", "postedDate" : "2026-06-13T18:06:43.920", "createdAt" : "2026-06-13T18:06:43.920", "lastUpdated" : "2026-06-15T06:57:57.455", "ingestTimestamp" : "2026-06-13T18:06:43.920", "mongoId" : "69fe2dd44c40e2acd1ecfd99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414968/apply", "salaryAnnualMin" : 115000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Risk assessment", "Budget management", "Program management", "Operational planning", "Cross-functional coordination", "Project management", "Cross-functional leadership", "Stakeholder management", "Forecasting", "Process improvement", "Resource allocation", "Agile methodologies", "Waterfall methodologies", "Risk management", "Scope management", "Schedule management", "Long-term planning", "Forecasting methodologies", "Operational efficiency", "PMP certification preferred", "Microsoft Project", "Excel", "PowerPoint" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d04", "title" : "Inventory Planner, EU STEP, Trans forecasting", "company" : "Amazon EU SARL", "industry" : "Corporate Operations, Buying/Planning, Logistics", "salary" : { "min" : 58000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Inventory Planner in Barcelona, Spain, adjusted for Amazon's size and the logistics industry." }, "location" : "Barcelona, Catalonia, ESP", "locations" : [ "Barcelona, Catalonia, ESP" ], "timestamp" : "2026-06-16T06:07:20.094", "fingerprint" : "0428a3e1b01ec4d5c919f22e197685814b676022892de469bec8f498826d0b72", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449323/apply", "externalId" : "b14f6b86-8993-4b2c-9e7c-239802ce8751", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data analysis, Data visualization", "professionalSkills" : [ "Business acumen", "Analytical abilities" ], "hardSkillsList" : [ "Data gathering", "Data manipulation", "Synthesis", "Modeling", "Problem solving" ], "hardSkills" : [ { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Synthesis", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data visualization, Logistics", "majorSkillsList" : [ "Data analysis", "Data visualization", "Logistics" ], "coreResponsibilities" : "Retrieve critical data, Integrate critical data, Visualize critical data, Present critical data, Optimize planning, Optimize execution, Improve processes, Track progress against goals, Analyze personnel data, Analyze logistics data, Analyze transaction data, Determine user behavior problems, Determine delivery process problems, Output analysis report with recommendation, Serve as liaison between EU Planning and Analytics, Provide actionable insights into metrics, Conduct ad hoc investigations into future improvements or, Develop queries for ad hoc requests, Develop queries for projects, Develop queries for ongoing reporting, Develop visualizations for ad hoc requests, Develop visualizations for projects, Develop visualizations for ongoing reporting", "teamCollaboration" : "Work with technical teams; Work with business teams; Liaison between EU Planning and Analytics team and operations business teams", "domainKnowledge" : "Package delivery network; Transportation forecasting", "domainList" : [ "package-delivery-network", "transportation-forecasting" ], "domainSpecificKnowledge" : [ "Package delivery network", "Transportation forecasting" ], "problemSolvingSkills" : "Problem solving; Analytical abilities", "outcomesObjectives" : "Improving efficiency of package delivery network", "qualificationsBasic" : "Bachelor's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, Experience in problem solving and data analytics", "qualificationsPreferred" : "Master's degree or above in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The EU Transportation forecasting organization is looking for a customer focused, analytically and technically skilled senior business analyst to join our team. This person will be responsible for bringing efficiencies and reduce costs using data analysis and visualization tools and processes’ to support our growing Amazon Logistics business in Europe. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improving the efficiency of the package delivery network. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data. Key job responsibilities Analyze and visualize large scale personnel, logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation. • Serve as liaison between the EU Planning and Analytics team and the various operations business teams to achieve the goal of providing actionable insights into various metrics including current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Basic Qualifications: - Bachelor's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience in problem solving and data analytics Preferred Qualifications: - Master's degree or above in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent 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" : "Inventory Planner, EU STEP, Trans forecasting at Amazon EU SARL. Skills: Data analysis, Data visualization, Logistics. Retrieve critical data. Integrate critical data", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:53.029", "lastUpdated" : "2026-06-16T06:07:20.094", "ingestTimestamp" : "2026-06-15T21:59:53.029", "mongoId" : "6a305649f292fd229cf26d04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449323/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data gathering", "Data manipulation", "Synthesis", "Modeling", "Problem solving", "Data analysis", "Data visualization", "Logistics", "Business acumen", "Analytical abilities", "Package delivery network", "Transportation forecasting" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bce74d8ee00a0914af2", "title" : "Research Analyst - Defence Industry and Market Forecast", "company" : "Janes", "industry" : "Government", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Analyst in Bengaluru, India, with mid-level experience in the Defense industry, adjusted for company size and market demand." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T03:29:08.884", "fingerprint" : "75d8fa71f373b195b09fd3f354307aa6940411f510c0067b026c427554a9b4da", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/janes/jobs/4863098101?gh_jid=4863098101", "externalId" : "4863098101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Market research", "Statistical analysis", "Business intelligence", "Data validation", "Data transformation" ], "hardSkillsList" : [ "Quantitative analysis", "Market forecast", "Open-source intelligence", "Contract tracking", "Tender tracking", "Price information", "Database management", "Data analysis", "Geopolitical analysis", "Military analysis", "Economic analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Market forecast", "level" : "intermediate" }, { "name" : "Open-source intelligence", "level" : "intermediate" }, { "name" : "Contract tracking", "level" : "intermediate" }, { "name" : "Tender tracking", "level" : "intermediate" }, { "name" : "Price information", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Geopolitical analysis", "level" : "intermediate" }, { "name" : "Military analysis", "level" : "intermediate" }, { "name" : "Economic analysis", "level" : "intermediate" } ], "majorSkills" : "Market forecast, Data analysis, Defence industry", "majorSkillsList" : [ "Market forecast", "Data analysis", "Defence industry" ], "coreResponsibilities" : "Maintain market forecast databases, Update company intelligence databases, Conduct market research, Conduct quantitative analysis, Conduct statistical analyses, Perform business intelligence, Identify market opportunities, Analyze contracts, Monitor news insights, Identify database gaps, Conduct monthly audits, Sift through data, Parse information, Prepare monthly reports, Document database changes, Maintain worklogs", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Aerospace and Defence; Defence equipment; Weapon systems; Defence procurement; Geopolitical factors; Military factors; Economic factors", "domainList" : [ "aerospace-and-defence", "defence-equipment", "weapon-systems", "defence-procurement", "geopolitical-factors", "military-factors", "economic-factors" ], "domainSpecificKnowledge" : [ "Aerospace and Defence", "Defence equipment", "Weapon systems", "Defence procurement", "Geopolitical factors", "Military factors", "Economic factors" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Power BI" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "LinkedIn Learning", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "2+ years experience, Advanced Microsoft Excel, Advanced Microsoft Word, Advanced Microsoft PowerPoint, Postgraduate degree", "qualificationsPreferred" : "Experience in Aerospace and Defence, Experience in visualization tools, Degree in defense studies, Technical business background", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Janes Introduction: Janes equips defence, government, and industry leaders with objective, accurate, and shareable data and analysis. Our experts combine advanced technology with proven tradecraft to deliver validated and contextual intelligence to assess threats, accelerate decisions, and anticipate change with confidence. We deliver our intelligence with the flexibility to fuse it with multiple sources in any system, enrich AI solutions, or access it through our portal. Job purpose: Jane’s delivers best in class defence forecasting through data driven identification of global market opportunities. By applying a rigorous bottom-up methodology with fully documented sources, comments, and assumptions, our dataset ensures that customer can confidently: Identify and capture new opportunities with data driven forecasts which allow you to uncover market growth Stay ahead of the competition with expert assessments of global contract opportunities that are yet to be announced Analyse market trends and drivers to shape your go-to-market strategy We are now recruiting for a Research Analyst in the domain of Aerospace & Defence, who will be responsible for maintaining and updating market forecast and company intelligence databases in an analytically rigorous fashion, taking into account industry insight, as well as related geopolitical, military, and economic factors. How you will contribute at Janes: Conduct market research (qualitative and quantitative), statistical analyses, and business intelligence to support extrapolation of market forecast. To be able to establish linkages and relationships between various defence equipment and weapon systems in terms of form fit, pricing, requirement and operability. Identifying and analyzing contracts in aerospace and defence domain. Monitoring news insights and press releases with respect to opportunities of defence procurement and policies. To be able to identify gaps in the existing database and be able to conduct monthly audits with respect to various parameters of the database. To be able to sift through large amount of data in excel and be able to parse information. Prepare monthly reports documenting specific database changes and maintain worklogs. The ideal skills and experience for this role are: 2+ years of experience in the domain of market forecast and open-source intelligence with a view of tracking contracts, tenders, price information. Past experience in the domain of Aerospace and Defence will be considered as an added advantage. Experience of working within a data environment (databases, data transformation, data validation or similar). Computer competency that includes an advanced working knowledge of Microsoft Excel, Word and PowerPoint applications. Experience in visualization tools such as Power BI would be an added advantage. Proven record of undertaking project orientated work to strict deadlines. Ability to quickly adapt and work with new information technology applications. Excellent written and verbal communication skills. Excellent attention to detail and a logical approach to problem solving. A must have. Qualification – Postgraduate. Degree in defense studies or related field with combination of technical/business background will be an added advantage. Benefits India Annual health checkup National Pension scheme Meal Card (Sodexo) Healthy Half (0.5 day leave every 6 months for wellbeing) 22 days of annual leave Transportation allowance Day care / Creche Reimbursement Group Medical Claim Access to LinkedIn Learning Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications Job Applicants - Privacy Policy Know your rights document", "summaryDescription" : "Research Analyst - Defence Industry and Market Forecast at Janes. Skills: Market forecast, Data analysis, Defence industry. Maintain market forecast databases. Update company intelligence databases", "postedDate" : "2026-06-14T21:47:03.810", "createdAt" : "2026-06-14T21:47:03.810", "lastUpdated" : "2026-06-16T03:29:08.884", "ingestTimestamp" : "2026-06-14T21:47:03.810", "mongoId" : "6a2c6bce74d8ee00a0914af2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Market forecast", "Open-source intelligence", "Contract tracking", "Tender tracking", "Price information", "Database management", "Data analysis", "Geopolitical analysis", "Military analysis", "Economic analysis", "Defence industry", "Market research", "Statistical analysis", "Business intelligence", "Data validation", "Data transformation", "Project management", "Aerospace and Defence", "Defence equipment", "Weapon systems", "Defence procurement", "Geopolitical factors", "Military factors", "Economic factors", "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Power BI" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058bdf292fd229cf43fb0", "title" : "EHR and Billing Support Specialist", "company" : "Sourcefit", "industry" : "Healthcare", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level EHR and Billing Support Specialist in Quezon City, Philippines, adjusted for the healthcare industry." }, "location" : "Bridgetowne Quezon City, Philippines, PH", "locations" : [ "Bridgetowne Quezon City", "Philippines", "PH" ], "timestamp" : "2026-06-16T07:26:11.420", "fingerprint" : "e303d2761da72ab34d80b83cd91bece35748c2aa3f14f90a1c17c668af7fc24f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/072ac1a28fec-ehr-and-billing-support-specialist", "externalId" : "072ac1a28fec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "state" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Metro Manila, Philippines", "employmentType" : "FULL_TIME", "majorSkills" : "EHR, Billing support", "majorSkillsList" : [ "EHR", "Billing support" ], "coreResponsibilities" : "Provide EHR support, Provide billing support, Troubleshoot EHR issues, Troubleshoot billing issues, Assist users with EHR, Assist users with billing", "domainKnowledge" : "EHR systems; Medical billing", "domainList" : [ "ehr-systems", "medical-billing" ], "domainSpecificKnowledge" : [ "EHR systems", "Medical billing" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "EHR experience, Billing support experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "EHR and Billing Support Specialist at Sourcefit. Skills: EHR, Billing support. Provide EHR support. Provide billing support", "createdAt" : "2026-06-15T22:11:34.728", "lastUpdated" : "2026-06-16T07:26:11.420", "ingestTimestamp" : "2026-06-15T22:11:34.728", "mongoId" : "6a3058bdf292fd229cf43fb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "EHR", "Billing support", "EHR systems", "Medical billing" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2176c774d8ee00a0c1adad", "title" : "Data Scientist I, Demand Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:49:27.589", "fingerprint" : "688853ba189668ac53c0cab83bd84898c11d53088fe3549182c33f46dbfc0a92", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438958/apply", "externalId" : "190fb7ac-8073-4e01-8e34-59b2f189440b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, SAS, Matlab, LLMs, GenAI, Hadoop, Spark, Map-reduce, Hive", "professionalSkills" : [ "Demand forecasting", "Bias correction", "Forecast explainability", "Causal inference", "Experimentation platform" ], "hardSkillsList" : [ "Data querying", "Scripting", "Statistical analysis", "Quantitative analysis", "Causal inference", "Demand prediction", "Seasonality modeling", "Lead time modeling", "Span modeling" ], "softSkillsList" : [ "Analytical abilities", "Business acumen", "Attention to detail", "Vocally self-critical" ], "hardSkills" : [ { "name" : "Data querying", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Demand prediction", "level" : "intermediate" }, { "name" : "Seasonality modeling", "level" : "intermediate" }, { "name" : "Lead time modeling", "level" : "intermediate" }, { "name" : "Span modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical abilities" }, { "name" : "Business acumen" }, { "name" : "Attention to detail" }, { "name" : "Vocally self-critical" } ], "majorSkills" : "Demand Forecasting, Machine Learning, Causal Inference, Experimentation", "majorSkillsList" : [ "Demand Forecasting", "Machine Learning", "Causal Inference", "Experimentation" ], "coreResponsibilities" : "Design experiments, Analyze experiments, Measure forecast model impact, Measure SCOT initiative impact, Draw causal inferences, Develop bias correction models, Improve forecast accuracy, Contribute to GenAI/LLM research, Enhance Labs experimentation platform, Build inference solutions, Build measurement solutions, Quantify forecasting improvements, Work horizontally across portfolio, Collaborate with product managers, Collaborate with applied scientists, Collaborate with engineering teams, Embed analytics solutions, Embed ML solutions, Build models, Address forecasting questions, Model demand prediction, Model out of stock, Model seasonality, Model lead times, Model spans, Interpret data, Write reports, Communicate measurement results, Translate technical frameworks, Provide business-oriented insights, Provide actionable recommendations, Extract insights from data, Communicate triggers, Communicate actions", "teamCollaboration" : "Product managers; Applied scientists; Engineering teams", "domainKnowledge" : "Supply chain; Demand forecasting; Inventory management; Labor planning; National forecasting; Regional forecasting; Grocery forecasting; SSD forecasting; Inbound forecasting; CIV forecasting; Foundation models", "domainList" : [ "supply-chain", "demand-forecasting", "inventory-management", "labor-planning", "national-forecasting", "regional-forecasting", "grocery-forecasting", "ssd-forecasting", "inbound-forecasting", "civ-forecasting", "foundation-models" ], "domainSpecificKnowledge" : [ "Supply chain", "Demand forecasting", "Inventory management", "Labor planning", "National forecasting", "Regional forecasting", "Grocery forecasting", "SSD forecasting", "Inbound forecasting", "CIV forecasting", "Foundation models" ], "toolProficiency" : [ "SPSS", "SAS", "S-PLUS", "R" ], "communicationSkills" : "Communicate results; Business-oriented insights; Actionable recommendations", "documentationSkills" : "Write reports", "innovationCreativity" : "GenAI/LLM research", "problemSolvingSkills" : "Analytical abilities; Ambiguous forecasting questions", "outcomesObjectives" : "Delight customers; Improve forecast accuracy; Quantify impact of initiatives", "qualificationsBasic" : "3+ years data querying languages experience, 3+ years scripting languages experience, 3+ years statistical software experience, 3+ years data scientist experience, 3+ years quantitative analyst experience, Bachelor's degree, Familiarity with LLMs or GenAI", "qualificationsPreferred" : "Knowledge of statistical packages, Knowledge of business intelligence tools, Experience with clustered data processing, Experience with time series forecasting, Experience with demand modeling, Experience with bias correction techniques", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon has the world's most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting: We forecast the demand of tens of millions of products. These forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for hundreds of warehouses. The Product Data Science team within Forecasting & Labs (part of Supply Chain Optimization Technologies) is looking for an analytical and technically skilled Data Scientist to join our team. Our team is responsible for bias correction model development and A/B testing for forecast improvements, GenAI/LLM research for forecast explainability, and deep analytics for Labs and Foundation Models. We work horizontally across the forecasting product portfolio—including National, Regional, Grocery, SSD, Inbound, and CIV forecasting—to embed advanced analytics and machine learning solutions where they create the most value. This position will be responsible for developing and supporting data science methodologies and building models to address ambiguous forecasting questions. The Data Scientist will design and analyze experiments (A/B tests) to measure the impact of forecast model changes, develop bias correction models to improve forecast accuracy, and contribute to GenAI/LLM-based approaches for forecast explainability and interpretability. The role also involves supporting the Labs experimentation platform, which designs and executes inference and experimentation systems that measure the impact of initiatives across SCOT. The Data Scientist needs to be familiar with deriving causal inferences using observational and experimental data and able to model variations related to demand prediction, out of stock, seasonality, and different lead times and spans. This role requires an individual with excellent analytical abilities as well as business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with attention to detail, vocally self-critical, and an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the success of the work product is based on the business impact the findings have had. The Demand Forecasting Team is looking for an analytical and technically skilled Data Scientist to join our team. This position will be responsible for developing and supporting best-in-class data science methodologies and building models to address ambiguous forecasting questions. The Data Scientist needs to be familiar with deriving causal inferences using observational data and able to model variations related with demand prediction, out of stock, seasonality, and different lead times and spans. Upon completion of statistical analysis, the Data Scientist needs to communicate measurement results to stakeholders by translating technical framework to business-oriented insights. This role requires an individual with excellent analytical abilities as well as business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the success of the work product is based on the business impact the findings have had. Key job responsibilities - Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data - Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts - Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals - Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements - Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value - Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out of stock, seasonality, and varying lead times and spans - Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations - Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience - Bachelor's degree - Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability Preferred Qualifications: - Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R - Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) - Experience with time series forecasting, demand modeling, or bias correction techniques Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually", "summaryDescription" : "Data Scientist I, Demand Forecasting at Amazon.com Services LLC. Skills: Demand Forecasting, Machine Learning, Causal Inference, Experimentation. Design experiments. Analyze experiments", "postedDate" : "2026-06-13T14:26:10.094", "createdAt" : "2026-06-13T14:26:10.094", "lastUpdated" : "2026-06-15T05:49:27.589", "ingestTimestamp" : "2026-06-13T14:26:10.094", "mongoId" : "6a2176c774d8ee00a0c1adad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438958/apply", "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data querying", "Scripting", "Statistical analysis", "Quantitative analysis", "Causal inference", "Demand prediction", "Seasonality modeling", "Lead time modeling", "Span modeling", "Analytical abilities", "Business acumen", "Attention to detail", "Vocally self-critical", "Demand Forecasting", "Machine Learning", "Causal Inference", "Experimentation", "Demand forecasting", "Bias correction", "Forecast explainability", "Experimentation platform", "Supply chain", "Inventory management", "Labor planning", "National forecasting", "Regional forecasting", "Grocery forecasting", "SSD forecasting", "Inbound forecasting", "CIV forecasting", "Foundation models", "SPSS", "SAS", "S-PLUS", "R" ], "skillCount" : 35, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fe94fd4c40e2acd1121794", "title" : "Data Scientist II, Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T02:20:39.820", "fingerprint" : "3d4fa4178d10f3d0b8862ac0d2b2bdd7dd50f60800d59cf7d13f22cc55af5df3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414902/apply", "externalId" : "669c4a4d-8355-40ab-9d4b-05b3b5884c4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, SAS, Matlab, GenAI", "professionalSkills" : [ "Long term planning", "Forecasting", "Customer engagement", "Strategic decision-making", "Causal inference", "Time-series econometrics", "Bayesian methods", "Variance decomposition" ], "hardSkillsList" : [ "Causal inference modeling", "Automated explainability frameworks", "Variance bridging methodologies", "Plan-vs-Actual models", "Actual-vs-Actual models", "Demand driver quantification", "Hypothesis generation", "Hypothesis validation", "Narrative generation" ], "softSkillsList" : [ "Business acumen", "Strategic thinking", "Analytical thinking", "Critical thinking" ], "hardSkills" : [ { "name" : "Causal inference modeling", "level" : "intermediate" }, { "name" : "Automated explainability frameworks", "level" : "intermediate" }, { "name" : "Variance bridging methodologies", "level" : "intermediate" }, { "name" : "Plan-vs-Actual models", "level" : "intermediate" }, { "name" : "Actual-vs-Actual models", "level" : "intermediate" }, { "name" : "Demand driver quantification", "level" : "intermediate" }, { "name" : "Hypothesis generation", "level" : "intermediate" }, { "name" : "Hypothesis validation", "level" : "intermediate" }, { "name" : "Narrative generation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business acumen" }, { "name" : "Strategic thinking" }, { "name" : "Analytical thinking" }, { "name" : "Critical thinking" } ], "majorSkills" : "Causal inference, Forecasting, Machine learning, Data science", "majorSkillsList" : [ "Causal inference", "Forecasting", "Machine learning", "Data science" ], "coreResponsibilities" : "Develop causal inference models, Develop automated explainability frameworks, Develop variance bridging methodologies, Build automated Plan-vs-Actual models, Build automated Actual-vs-Actual models, Build and maintain causal model library, Develop GenAI-powered narrative generation capabilities, Design automated hypothesis ranking", "teamCollaboration" : "Cross-functional programs; Scientists; Economists; Engineers; Business customers; Operations teams; Stores teams; Finance teams", "projectManagementSkills" : [ "Cross-functional planning", "Strategy workstreams", "Program vision", "Program strategy", "Roadmap execution", "Roadmap delivery", "Planning calendars", "Strategic review mechanisms", "Organizational alignment" ], "domainKnowledge" : "Long Term Planning; Forecasting; Demand shifts; Planning ecosystem; Revenue metrics; Price metrics; Units metrics; Inventory metrics; Capacity metrics; Worldwide marketplaces", "domainList" : [ "long-term-planning", "forecasting", "demand-shifts", "planning-ecosystem", "revenue-metrics", "price-metrics", "units-metrics", "inventory-metrics", "capacity-metrics", "worldwide-marketplaces" ], "domainSpecificKnowledge" : [ "Long Term Planning", "Forecasting", "Demand shifts", "Planning ecosystem", "Revenue metrics", "Price metrics", "Units metrics", "Inventory metrics", "Capacity metrics", "Worldwide marketplaces" ], "communicationSkills" : "Presenting to VP; Presenting to SVP; Written communication; Verbal communication", "innovationCreativity" : "GenAI capabilities", "problemSolvingSkills" : "Reasoning; Problem-solving", "qualificationsBasic" : "2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, 1+ years of guiding researchers experience, 1+ years of evaluating AI systems experience, 1+ years of creating mathematical textbooks experience, Master's degree in STEM, Experience applying theoretical models", "qualificationsPreferred" : "Ph.D. in STEM, Knowledge of machine learning concepts, Experience in Python, Experience in Perl, Experience defining GenAI benchmarks, Experience creating GenAI benchmarks, Experience communicating complex concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Scientist to drive scientific tooling supporting how Amazon's business customers interact with LTPF forecasts and plans. As a science leader within the LTPF, you will be responsible for building to the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Data Scientist in LTPF (Long-Term Planning & Forecasting): - You will develop causal inference models, automated explainability frameworks, and variance bridging methodologies that translate LTPF's forecasts and plans into actionable business intelligence. - Your work will enable leadership to understand why forecasts and actuals diverge, what is driving demand shifts, and how strategic decisions propagate through the planning ecosystem. - You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue, price, units, inventory, and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles. - You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines, applying techniques from causal inference, time-series econometrics, and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces. - You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred Qualifications: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience effectively communicating complex concepts through written and verbal communication - Experience in forecasting analyses Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Data Scientist II, Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Causal inference, Forecasting, Machine learning, Data science. Develop causal inference models. 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Key Responsibilities Support NGA mission objectives and program execution. Develop analyses, reports, briefings, and recommendations. Coordinate across stakeholders, program offices, and leadership. Support compliance with NGA, DoD, and Intelligence Community requirements. Required Qualifications Relevant experience supporting the functional discipline. Experience in DoD or Intelligence Community environments. Desired Qualifications NGA experience. Relevant professional certifications. Strong written and verbal communication skills.", "summaryDescription" : "Financial & Budget Management Analyst (Mid) at Allen Integrated Solutions. Support PPBE lifecycle. Support budget formulation", "postedDate" : "2026-06-11T20:43:52.765", "createdAt" : "2026-06-11T20:43:52.765", "lastUpdated" : "2026-06-14T22:09:43.714", "ingestTimestamp" : "2026-06-11T20:43:52.765", "mongoId" : "6a2a74cc74d8ee00a0655995", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78500, "salaryAnnualMax" : 115500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "imua", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a1683dd58b93c861eae69cb", "title" : "Voice and Chat Customer Support", "company" : "Support Services Group", "salary" : { "min" : 1080000.0, "max" : 1560000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level voice and chat customer support roles in Kingston, Jamaica, typically range from JMD 1,080,000 to JMD 1,560,000 annually, based on 2024-2025 market data for the customer support industry." }, "location" : "Kingston, JM", "locations" : [ "Kingston", "JM" ], "timestamp" : "2026-06-15T22:52:29.391", "fingerprint" : "4f6ae0e296beb50910f2a62d0981c4c812e73f3e568ae5acf3f7d6192512de0d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ssg-corp.breezy.hr/p/134045a3cb25-voice-and-chat-customer-support", "externalId" : "134045a3cb25", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew, Jamaica", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Field customer inquiries, Address customer pain points, Maintain product knowledge", "outcomesObjectives" : "Drive customer satisfaction", "qualificationsBasic" : "Extensive product knowledge", "workSiteFlexibility" : "Onsite", "rawDescription" : "Support Services Group is looking for customer service representatives to join our team in our Kingston, Jamaica office. This person will drive customer satisfaction by fielding inquiries, addressing pain points, and maintaining extensive product knowledge. This role would include email, voice and", "summaryDescription" : "Voice and Chat Customer Support at Support Services Group. Field customer inquiries. Address customer pain points", "createdAt" : "2026-06-14T21:53:59.292", "lastUpdated" : "2026-06-15T22:52:29.391", "ingestTimestamp" : "2026-06-14T21:53:59.292", "mongoId" : "6a1683dd58b93c861eae69cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Customer Support", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cbf74d8ee00a091b219", "title" : "Administrative and Customer Support Specialist", "company" : "HealtheConnections", "industry" : "Healthcare", "salary" : { "min" : 48000.0, "max" : 62500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Syracuse ", "locations" : [ "Syracuse" ], "timestamp" : "2026-06-15T09:41:31.881", "fingerprint" : "68efb734d64390993858c498d24c3c2ed8f743f7c17ed0ea8814721fbc7cd9e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.healtheconnections.org/jobs/?gh_jid=5257248008", "externalId" : "5257248008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Syracuse", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0481221,-76.1474244" } ], "locationText" : "Syracuse, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CRM, Ticketing platforms, Customer support platforms", "professionalSkills" : [ "Workflow oversight", "Special project execution", "Customer guidance", "Process management", "Customer onboarding", "Credentialing", "Compliance support", "Customer experience initiatives" ], "hardSkillsList" : [ "Troubleshooting", "System documentation" ], "softSkillsList" : [ "Critical thinking", "Flexibility", "Adaptability" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "System documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Flexibility" }, { "name" : "Adaptability" } ], "majorSkills" : "Customer support, Customer relationships, Customer retention, Customer satisfaction", "majorSkillsList" : [ "Customer support", "Customer relationships", "Customer retention", "Customer satisfaction" ], "coreResponsibilities" : "Serve as primary point of contact, Handle customer inquiries, Handle service requests, Handle support issues, Deliver exceptional customer experience, Be subject matter expert, Troubleshoot complex issues, Resolve complex issues, Ensure timely follow-up, Ensure timely resolution, Support categorization of tickets, Support triage of tickets, Support escalation of tickets, Support management of tickets, Maintain accurate customer records, Maintain user accounts, Maintain system documentation, Support customer onboarding, Support credentialing, Support compliance, Support customer experience initiatives", "teamCollaboration" : "Work closely with customers; Work closely with team members; Collaborative team environment", "domainKnowledge" : "Health information exchange; Health IT; Healthcare administration", "domainList" : [ "health-information-exchange", "health-it", "healthcare-administration" ], "domainSpecificKnowledge" : [ "Health information exchange", "Health IT", "Healthcare administration" ], "toolProficiency" : [ "CRM", "Ticketing systems", "Business systems" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "System documentation", "problemSolvingSkills" : "Problem-solving; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years customer service, 5+ years customer support, 5+ years client services, Experience with CRM, Experience with ticketing platforms, Experience with customer support platforms, Excellent written communication, Excellent verbal communication, Analytical abilities, Problem-solving abilities, Technical aptitude, Ability to learn applications, Ability to learn systems, Ability to work under pressure, Ability to meet deadlines, Ability to ensure accuracy, Proven ability to follow procedures, Experience working independently, Experience working collaboratively", "qualificationsPreferred" : "Associate's degree in Business, Associate's degree in Communications, Associate's degree in Healthcare Administration, Associate's degree in Information Technology, Equivalent experience strongly preferred, Experience in healthcare, Experience in health information exchange, Experience in health IT, Experience in medical administration, Experience in technical support", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who: HealtheConnections, a respected national leader in providing health information exchange (HIE) services for 26 counties of NYS. What: Hiring an experienced, customer-focused professional to provide advanced support and operational leadership through troubleshooting, workflow oversight, training support, special project execution, and more across HealtheConnections’ technology services. About the Job: In this role, you will use your experience and critical thinking skills to work closely with customers to understand their needs, provide guidance on our systems and services, manage important processes, and serve as a trusted resource. This team supports one of the largest and most multi-faceted health information exchanges in the country and serves as a key resource for both customers and internal teams. Administrative and Customer Support Specialists have varied responsibilities. You will work closely with customers and team members to ensure a high-quality customer experience while supporting onboarding, compliance, customer service operations, and continuous improvement initiatives. Primary Responsibilities: Serve as a primary point of contact for customer inquiries, service requests, and support issues, delivering an exceptional customer experience through phone, email, and tickets Be a subject matter expert for Customer Services processes and how HealtheConnections’ services work. Troubleshoot and resolve complex customer issues while ensuring timely follow-up and resolution. Support the categorization, triage, escalation, and management of customer support tickets using our CRM and other business systems Maintain accurate customer records, user accounts, and system documentation. Support customer onboarding, credentialing, compliance, and customer experience initiatives. Experience Needed: Please send us a cover letter with your application. 5+ years of customer service, customer support, client services, or related experience. Experience with CRM, ticketing, or customer support platforms. Excellent written and verbal communication skills. Strong analytical and problem-solving abilities. Strong technical aptitude and ability to quickly learn new applications and systems. Ability to work under pressure, meet deadlines, and ensure accuracy. Proven ability to follow established procedures. Experience working independently and collaboratively within a team environment. Experience in healthcare, health information exchange, health IT, medical administration, or a technical support environment is a strong plus. Associate's or higher degree in Business, Communications, Healthcare Administration, Information Technology, or equivalent experience strongly preferred Not sure you meet all qualifications? Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. You’re a great fit for us if you’re good at… Methodical, detail-oriented tasks Being flexible and adaptable to shifting priorities Following procedures carefully Helping someone get to the root of a problem We’re a great fit for you if you’re looking for… A high-performance, high-energy, collaborative environment. One of the best things about working here is our team. They’re smart, supportive, passionate, and among the best in the business. A dynamic industry. Health information exchange has exciting opportunities on the horizon as the healthcare industry evolves, both within NYS and on the national stage. Strong benefits. We cover the cost of medical insurance for employees along with a full suite of benefits, including 401k matching, generous vacation/holiday time, unlimited sick time, flexibility in work hours and hybrid/remote work, and more. Work that makes a difference in your community. We’re proud to make an impact on the daily lives of health professionals and support improved health outcomes for individuals right here in New York State. We like to say that we’re “casually competent” – we’re not pretentious, but we know our stuff. Our people are talented, our culture is vibrant, and our work is at the top of its class. Even better, our customers genuinely like working with us, and we’ve seen firsthand how what we do has made a positive impact on our community. $48,000-$62,500 is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. 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We are one of the largest providers to the NDIS, supporting over 10,000 participants every year with the care they need, when and where it is needed. We have a multi-disciplinary team approach, building a quality support service around the needs and goals of our participants and their family. Help us help others with life changing support that can improve their independence, access, development, health and wellbeing, and function. Where your OT career begins… and your future takes shape. Hey future OT extraordinaire! If you're graduating in Mid 2026 and looking for a workplace where you feel supported, valued, mentored, celebrated (and occasionally fed snacks?) Congratulations, you’ve found your people. Welcome to Ability Action Australia. Where people develop Where careers grow Where grads thrive Where a real difference is made Where “am I doing this right?” becomes “I’ve SO got this.” where the foundations for your OT career are set ABOUT US We’re a national therapy services provider helping NDIS participants, kids, teens and adults live their best everyday lives. Our goal - to the best service provider in the country! We’re supportive, passionate, and big believers in: ✔ 1:1 Weekly supervision that actually happens ✔ Growth without burnout ✔ Teams who lift each other up ✔ Supporting graduates to become clinically confident Occupational Therapists OTs love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR Mid Year 2026 GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things you will do in this role Include: ✔Supporting participants in the community or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Here’s what you get: A guaranteed salary of $89,600 including super KM travel reimbursement $1,500 annual PD allowance Performance-based incentives (potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Flexibility Work from the office, home or your favorite café, Professional indemnity insurance Salary packaging options , including novated leasing, option to purchase additional leave Weekly supervision, mentoring & a buddy who always has your back Basically: you’re supported, resourced and set up to grow. ## Qualifications WHO YOU ARE You’re a soon-to-be graduated OT who is: • AHPRA registered or eligible for AHPRA registration • Curious and compassionate • Excited to learn and try new things • Keen for a workplace with flexibility, growth and Support • Ready to make a difference in people’s lives • Not afraid of a good OT pun (bonus points if you make your own) • A licensed driver with your own vehicle You bring the passion. We bring the support. So you can be unstoppable ## Additional Information READY TO LEVEL UP YOUR OT CAREER? I’m Amie , your Talent Acquisition Advisor who will happily chat all things AAA, grads & OT life! Phone: 0491 388 893 LinkedIn: www.linkedin.com/in/amiegargan #LI-ALG You are welcome here. Our fast-growing team of more than 4,000 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. We are an Equal Opportunity Employer, proudly welcoming people with disability including mental health conditions, people from diverse cultural and linguistic backgrounds, people from the LGBTQI community, veterans, carers and Indigenous Australians to our team. We are happy to adjust our recruitment process to support accessibility needs.", "summaryDescription" : "Occupational Therapist, Mid Year Graduate Program 2026 at Ability Action Australia. Skills: Occupational therapy, Client assessment, Treatment planning. 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We are one of the largest providers to the NDIS, supporting over 10,000 participants every year with the care they need, when and where it is needed. We have a multi-disciplinary team approach, building a quality support service around the needs and goals of our participants and their family. Help us help others with life changing support that can improve their independence, access, development, health and wellbeing, and function. Where your OT career begins… and your future takes shape. Hey future OT extraordinaire! If you're graduating in Mid 2026 and looking for a workplace where you feel supported, valued, mentored, celebrated (and occasionally fed snacks?) Congratulations, you’ve found your people. Welcome to Ability Action Australia. Where people develop Where careers grow Where grads thrive Where a real difference is made Where “am I doing this right?” becomes “I’ve SO got this.” where the foundations for your OT career are set ABOUT US We’re a national therapy services provider helping NDIS participants, kids, teens and adults live their best everyday lives. Our goal - to the best service provider in the country! We’re supportive, passionate, and big believers in: ✔ 1:1 Weekly supervision that actually happens ✔ Growth without burnout ✔ Teams who lift each other up ✔ Supporting graduates to become clinically confident Occupational Therapists OTs love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR Mid Year 2026 GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. 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We’re a national therapy services provider helping NDIS participants, kids, teens and adults get more out of life every day. Our teams are supportive, our vibes are friendly, our supervision is weekly, and our Grad Program is designed to turn you from “fresh grad” to “confident clinician” in record time, without the burnout. If you're graduating in 2026 as a Speech Pathologist and ready to kickstart your career somewhere that actually supports you, cheers for you, mentors you, and celebrates your wins? Welcome to Ability Action Australia! Where people develop Where careers grow Where grads thrive Where a real difference is made Where speechies occasionally ask, “Wow, did I really just do that? (Spoiler: Yes, you did!) ABOUT US We’re a national therapy provider helping NDIS participants of all ages “get more out of life today!” Our goal – To be the best Allied Health provider in the country. Our teams are supportive, our culture is fun and empowering, our supervision is actually weekly , and our 12-month Action Packed Graduate Program is here to help you be the kind of speech pathologist you always knew you could be. Speechies love working with us because we combine structure + flexibility , support + independence , professionalism andfun. WHY YOU’LL LOVE OUR GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things your will do in this role Include; ✔Supporting participants in the community, school or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Guaranteed salary of $86,800 incl. super Travel reimbursement $1,500 external CPD allowance Performance-based incentives(potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Professional indemnity insurance Salary packaging + novated leasing options Employee perks: travel discounts, gym savings & more Flexibility Office/clinic, Home or your favorite café 1:1 weekly supervision, monthly workshops, mentoring & your own buddy What sets us apart? A support system that never leaves you feeling alone, especially while you’re learning. We know how much there is to experience and we are here for you. WHO YOU ARE You’re a soon-to-be graduating Speech Pathologist who is: • Empathetic, curious & eager to learn • Passionate about helping people communicate & connect • Keen to join a fun, multidisciplinary team • Excited to grow your skills with support • SPA-registered or eligible upon graduation • A licensed driver with your own vehicle READY TO LEVEL UP YOUR SPEECHIE CAREER? I’m Vanessa Dias. Your Grad Program wing-woman and question-answerer Phone: 0448 374 024 LinkedIn: [www.linkedin.com/in/vanessa-dias](http://www.linkedin.com/in/vanessa-dias) Apply today and let’s help you get more out of your career, starting now. #AAA #LI-VD1 ## Additional Information You are welcome here. Our fast-growing team of more than 3,500 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. 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Our teams are supportive, our culture is fun and empowering, our supervision is actually weekly , and our 12-month Action Packed Graduate Program is here to help you be the kind of speech pathologist you always knew you could be. Speechies love working with us because we combine structure + flexibility , support + independence , professionalism andfun. WHY YOU’LL LOVE OUR GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things your will do in this role Include; ✔Supporting participants in the community, school or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Guaranteed salary of $86,800 incl. super Travel reimbursement $1,500 external CPD allowance Performance-based incentives(potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Professional indemnity insurance Salary packaging + novated leasing options Employee perks: travel discounts, gym savings & more Flexibility Office/clinic, Home or your favorite café 1:1 weekly supervision, monthly workshops, mentoring & your own buddy What sets us apart? A support system that never leaves you feeling alone, especially while you’re learning. We know how much there is to experience and we are here for you. WHO YOU ARE You’re a soon-to-be graduating Speech Pathologist who is: • Empathetic, curious & eager to learn • Passionate about helping people communicate & connect • Keen to join a fun, multidisciplinary team • Excited to grow your skills with support • SPA-registered or eligible upon graduation • A licensed driver with your own vehicle READY TO LEVEL UP YOUR SPEECHIE CAREER? I’m Vanessa Dias. Your Grad Program wing-woman and question-answerer Phone: 0448 374 024 LinkedIn: [www.linkedin.com/in/vanessa-dias](http://www.linkedin.com/in/vanessa-dias) Apply today and let’s help you get more out of your career, starting now. #AAA #LI-VD1 ## Additional Information You are welcome here. Our fast-growing team of more than 3,500 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. 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Our goal - to the best service provider in the country! We’re supportive, passionate, and big believers in: ✔ 1:1 Weekly supervision that actually happens ✔ Growth without burnout ✔ Teams who lift each other up ✔ Supporting graduates to become clinically confident Occupational Therapists OTs love working with us because we combine structure + flexibility , support + independence , professionalism andfun. WHY YOU’LL LOVE OUR GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things your will do in this role Include; ✔Supporting participants in the community or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Here’s what you get: A guaranteed salary of $86,800 including super KM travel reimbursement $1,500 annual PD allowance Performance-based incentives (potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Flexibility Work from the office, home or your favorite café, Professional indemnity insurance Salary packaging options , including novated leasing, option to purchase additional leave Weekly supervision, mentoring & a buddy who always has your back Basically: you’re supported, resourced and set up to grow. WHO YOU ARE You’re a soon-to-be graduated OT who is: • AHPRA registered or eligible for AHPRA registration • Curious and compassionate • Excited to learn and try new things • Keen for a workplace with flexibility, growth and Support • Ready to make a difference in people’s lives • Not afraid of a good OT pun (bonus points if you make your own) • A licensed driver with your own vehicle You bring the passion. We bring the support. So you can be unstoppable READY TO LEVEL UP YOUR OT CAREER? I’m Vanessa Dias , your Grad Program wing-woman, real-life human contact, and the very enthusiastic Talent Acquisition Consultant who will happily chat your ear off about all things AAA, grads & OT life! Phone: 0448374024 LinkedIn: [www.linkedin.com/in/vanessa-dias](http://www.linkedin.com/in/vanessa-dias) #AAA #LI-VD1 ## Additional Information You are welcome here. Our fast-growing team of more than 3,500 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. We are an Equal Opportunity Employer, proudly welcoming people with disability including mental health conditions, people from diverse cultural and linguistic backgrounds, people from the LGBTQI community, veterans, carers and Indigenous Australians to our team. We are happy to adjust our recruitment process to support accessibility needs. You are welcome here. Our fast-growing team of more than 4,000 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. We are an Equal Opportunity Employer, proudly welcoming people with disability including mental health conditions, people from diverse cultural and linguistic backgrounds, people from the LGBTQI community, veterans, carers and Indigenous Australians to our team. 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Commercial leaders; Insights & Analytics colleagues; Forecast partners; Senior US leaders; Junior team members", "projectManagementSkills" : [ "Scenario planning" ], "domainKnowledge" : "Oncology; Pharmaceutical industry; Biopharmaceutical industry", "domainList" : [ "oncology", "pharmaceutical-industry", "biopharmaceutical-industry" ], "domainSpecificKnowledge" : [ "Oncology", "Pharmaceutical industry", "Biopharmaceutical industry" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Presentations; Storytelling", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Guide commercial strategy; Guide business decisions", "qualificationsBasic" : "Bachelor's degree, Minimum 4 years of experience, 4 years of experience in forecasting, 2 years forecasting in biopharmaceutical role", "qualificationsPreferred" : "Quantitative field degree preferred, Pharmaceutical/biotechnology manufacturer experience preferred, Management consulting experience preferred, Market research experience preferred, Investment banking experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Job Title: Forecasting Associate Director, Oncology** **Location: Gaithersburg Maryland** At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices **3 days a week**. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention. **Introduction to Role:** The Forecasting Associate Director, Oncology leads the US forecasting process for one of the key brands in the US Oncology portfolio. As a thought partner to the business, the Associate Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks & opportunities that may impact performance to ultimately guide commercial strategy and decision-making. Strong analytical and critical thinking skills are essential to developing meticulous forecasts using patient-flow / patient-based models or statistical trending. The Associate Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business. In addition, the Associate Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics & Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. Abilities key to this position include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Associate Director’s significant experience in forecasting enables them to solve sophisticated technical challenges, anticipate upcoming forecast questions, and implement effective solutions, including AI development. Beyond brand-level contribution, the Associate Director will also contribute to the US Oncology Forecasting & Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, standard processes, and capability builds. In addition, the Associate Director will provide mentorship and guidance to more junior team members. This role reports to the Sr. Director, Integrated Insights, and sits within US OBEX, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics. **Accountabilities:** * Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.) * Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update * Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities * Collaborate cross-functionally with key commercial leaders, Insights & Analytics colleagues, and other forecast partners to align on objective, data-driven forecast inputs * Provide in-depth analyses around underlying drivers of brand performance in support of key business results and achievements (e.g. Quarterly Business Reviews) * Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends * Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events * Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling * Collaborate with senior US leaders on performance narrative for C-level audience * Provide guidance to Forecasting & Performance Sr. Managers and Sr. Analysts * Contribute to forecasting capabilities and identify / drive forecasting process efficiencies, automation, and innovation (including AI capabilities) **Essential Skills/Experience:** * Minimum Education Bachelor's degree * Preference for a quantitative field (e.g., Engineering, Data Science, Statistics, Math, Economics, Computer Science, Operations Research) * Minimum 4 years of experience * Preference for a pharmaceutical / biotechnology manufacturer or working in the biopharmaceutical industry (e.g., forecasting, data/analytics, management consulting, market research, investment banking) * 4 years of experience in forecasting: building models, leading input evaluation, communicating outputs, and guiding business decisions based; 2 years of forecasting specifically in a biopharmaceutical role * Deep expertise in building the pharmaceutical forecast models, a broad range of forecasting techniques, and leading/optimizing the full forecasting process; requires minimal supervision and able to provide guidance to more junior forecasting team members * Very experienced in evaluating analytics from pharmaceutical data sources (APLD, IQVIA, claims, etc.) and epidemiological data (Kantar, DRG) * Experience with primary market research, advanced analytics, and competitive intelligence; experience leading those projects or collaborating with others to integrate findings into the forecast * Occasional travel may be required **Where can I find out more?** * Our Social Media, Follow AstraZeneca on LinkedIn * Follow AstraZeneca on Facebook * Follow AstraZeneca on Instagram [https://www.instagram.com/astrazeneca_careers/?hl=en](https://www.instagram.com/astrazeneca_careers/?hl=en) * [Our US Footprint: Powering Scientific Innovation - YouTube](https://www.youtube.com/watch?v=55z08QfXRJg) _The annual base pay (or hourly rate of compensation) for this position ranges from $195,468 to $293,203.Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans._ _As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here_ : [Kendall Square Press Release](https://www.astrazeneca.com/media-centre/press-releases/2022/astrazeneca-announces-plans-for-new-strategic-rd-centre-and-alexion-headquarters-in-cambridge-massachusetts.html) AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing [AZCHumanResources@astrazeneca.com](mailto:AZCHumanResources@astrazeneca.com). _#LI-Hybrid_ **Date Posted** 11-Jun-2026 **Closing Date** 21-Jun-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.", "summaryDescription" : "Forecasting Associate Director, Oncology at Astrazeneca. Skills: Forecasting, Oncology portfolio, Business strategy. Lead US forecasting processes. 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We are one of the largest providers to the NDIS, supporting over 10,000 participants every year with the care they need, when and where it is needed. We have a multi-disciplinary team approach, building a quality support service around the needs and goals of our participants and their family. Help us help others with life changing support that can improve their independence, access, development, health and wellbeing, and function. Where your OT career begins… and your future takes shape. Hey future OT extraordinaire! If you're graduating in Mid 2026 and looking for a workplace where you feel supported, valued, mentored, celebrated (and occasionally fed snacks?) Congratulations, you’ve found your people. Welcome to Ability Action Australia. Where people develop Where careers grow Where grads thrive Where a real difference is made Where “am I doing this right?” becomes “I’ve SO got this.” where the foundations for your OT career are set ABOUT US We’re a national therapy services provider helping NDIS participants, kids, teens and adults live their best everyday lives. Our goal - to the best service provider in the country! We’re supportive, passionate, and big believers in: ✔ 1:1 Weekly supervision that actually happens ✔ Growth without burnout ✔ Teams who lift each other up ✔ Supporting graduates to become clinically confident Occupational Therapists OTs love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR Mid Year 2026 GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things you will do in this role Include: ✔Supporting participants in the community or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Here’s what you get: A guaranteed salary of $89,600 including super KM travel reimbursement $1,500 annual PD allowance Performance-based incentives (potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Flexibility Work from the office, home or your favorite café, Professional indemnity insurance Salary packaging options , including novated leasing, option to purchase additional leave Weekly supervision, mentoring & a buddy who always has your back Basically: you’re supported, resourced and set up to grow. ## Qualifications WHO YOU ARE You’re a soon-to-be graduated OT who is: • AHPRA registered or eligible for AHPRA registration • Curious and compassionate • Excited to learn and try new things • Keen for a workplace with flexibility, growth and Support • Ready to make a difference in people’s lives • Not afraid of a good OT pun (bonus points if you make your own) • A licensed driver with your own vehicle You bring the passion. We bring the support. So you can be unstoppable ## Additional Information READY TO LEVEL UP YOUR OT CAREER? I’m Amie , your Talent Acquisition Advisor who will happily chat all things AAA, grads & OT life! Phone: 0491 388 893 LinkedIn: www.linkedin.com/in/amiegargan #LI-ALG You are welcome here. Our fast-growing team of more than 4,000 people around Australia represent a huge array of life experiences, skills and ways of thinking. We value all these differences. We are an Equal Opportunity Employer, proudly welcoming people with disability including mental health conditions, people from diverse cultural and linguistic backgrounds, people from the LGBTQI community, veterans, carers and Indigenous Australians to our team. 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We are one of the largest providers to the NDIS, supporting over 10,000 participants every year with the care they need, when and where it is needed. We have a multi-disciplinary team approach, building a quality support service around the needs and goals of our participants and their family. Help us help others with life changing support that can improve their independence, access, development, health and wellbeing, and function. Where your OT career begins… and your future takes shape. Hey future OT extraordinaire! If you're graduating in Mid 2026 and looking for a workplace where you feel supported, valued, mentored, celebrated (and occasionally fed snacks?) Congratulations, you’ve found your people. Welcome to Ability Action Australia. Where people develop Where careers grow Where grads thrive Where a real difference is made Where “am I doing this right?” becomes “I’ve SO got this.” where the foundations for your OT career are set ABOUT US We’re a national therapy services provider helping NDIS participants, kids, teens and adults live their best everyday lives. Our goal - to the best service provider in the country! We’re supportive, passionate, and big believers in: ✔ 1:1 Weekly supervision that actually happens ✔ Growth without burnout ✔ Teams who lift each other up ✔ Supporting graduates to become clinically confident Occupational Therapists OTs love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR Mid Year 2026 GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. 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We are one of the largest providers to the NDIS, supporting over 10,000 participants every year with the care they need, when and where it is needed. We have a multi-disciplinary team approach, building a quality support service around the needs and goals of our participants and their family. Help us help others with life changing support that can improve their independence, access, development, health and wellbeing, and function. Are you graduating as a Speech Pathologist and ready to kickstart your career somewhere that actually supports you, cheers for you, mentors you, and celebrates your wins? Welcome to Ability Action Australia! Where people develop Where careers grow Where grads thrive Where a real difference is made Where speechies occasionally ask, “Wow, did I really just do that? (Spoiler: Yes, you did!) ABOUT US We’re a national therapy provider helping NDIS participants of all ages “get more out of life today!” Our goal – To be the best Allied Health provider in the country. Our teams are supportive, our culture is fun and empowering, our supervision is actually weekly , and our 12-month Action Packed Graduate Program is here to help you be the kind of speech pathologist you always knew you could be. Speechies love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. Some of the things you will do in this role Include: ✔Supporting participants in the community, school or clinic ✔Completing assessments, writing reports and supporting participants with therapy ✔Advocating for and working with participants and carers to help achieve goals Guaranteed salary of $86,800 incl. super Travel reimbursement $1,500 external CPD allowance Performance-based incentives (potential to earn more + give to the community) Laptop, smartphone & clinical toolkit Professional indemnity insurance Salary packaging + novated leasing options Employee perks: travel discounts, gym savings & more Flexibility Office/clinic, Home or your favorite café 1:1 weekly supervision, monthly workshops, mentoring & your own buddy What sets us apart? A support system that never leaves you feeling alone, especially while you’re learning. 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ABOUT US We’re a national therapy provider helping NDIS participants of all ages “get more out of life today!” Our goal – To be the best Allied Health provider in the country. Our teams are supportive, our culture is fun and empowering, our supervision is actually weekly , and our 12-month Action Packed Graduate Program is here to help you be the kind of speech pathologist you always knew you could be. Speechies love working with us because we combine structure + flexibility , support + independence , professionalism and fun. WHY YOU’LL LOVE OUR GRADUATE PROGRAM You will learn a whole lot, not just clinical skills but business skills, people skills and all the intangible things that can take you from good to great. You will make mistakes, learn and grow, be challenged, succeed in ways that matter, forge great relationships, have lots of fun, transform lives and learn from experts in the field. 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Establish and maintain working relationships with coworkers", "domainKnowledge" : "Healthcare environment", "domainList" : [ "healthcare-environment" ], "domainSpecificKnowledge" : [ "Healthcare environment" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Resolving problems", "qualificationsBasic" : "1 years’ experience in administrative or healthcare environment, Advanced English", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Overview** Under supervision this individual is also expected to support Sales, Finance, and GBO contract and proposal processes in regard to work allocation, system updates, processing budgets & contracts, document storage, internal budgets updates and other related tasks. **Responsibilities** * Work closely with GBO and Sales Teams for business needs concerning product updates in Salesforce, and general overall support. * Process proposal budgets for product updates * Support senior team members with special projects and troubleshooting proposal budgets. * Run adhoc reports as needed for compliance reporting. * Participate in departmental initiatives. * Perform all other duties as assigned. **Required Knowledge, Skills and Abilities** * Bachelor's Degree in Life Science, Business Management or related field / Fresh university graduated * 1 years’ experience in administrative or healthcare environment * Knowledge and functions of Microsoft Excel and PowerPoint * Advanced English (with the ability to prepare written communications using correct spelling, grammar, and punctuation) * Ability to establish and maintain effective working relationships with coworkers, GBO and Sales * Excellent attention to detail required. * Ability to act independently and with initiative required to resolving problems * Strong analytical skills and excellent verbal and written communication skills IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [https://jobs.iqvia.com](https://jobs.iqvia.com/) IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.", "summaryDescription" : "Budget Operations and Data Solutions Support Specialist at IQVIA. Skills: Budget processing, Contract support, Data solutions. Support Sales, Finance, and GBO contract and proposal. 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We are the scientific gatekeepers for policy updates that govern how Amazon buys, stores, and moves billions of units of inventory worldwide. This is not traditional A/B testing: we are building the infrastructure and methodology to causally evaluate complex and interconnected supply chain interventions. Our platform runs experiments that span millions of products and hundreds of fulfillment nodes simultaneously, measuring the real-world impact of policy changes on inventory health, customer experience, and operational cost. We are also advancing the science of causal inference in supply chain settings by developing novel approaches to treatment effect estimation, interference modeling, and emulation techniques that allow us to assess policy impact faster and more accurately than ever before. The experiments you design and the methods you build here will directly determine which policies ship to production. These decisions influence hundreds of millions of dollars in weekly inventory investments, labor allocation for tens of thousands of associates, and Amazon's overall supply chain efficiency. Beyond operational impact, this team pushes the frontier of causal experimentation methodology and contributes to the broader scientific community with publications at top venues. If you are a scientist who wants to shape how one of the world's largest supply chains makes decisions — solving causal inference challenges in real-world settings no academic lab or startup can replicate — this is the team for you. Key job responsibilities - Advance causal inference methodology for supply chain settings, including treatment effect estimation, interference modeling, and emulation techniques that accelerate policy evaluation. Ensure these methods are supported by both theoretical foundations and empirical evidence. - Translate complex research findings into clear insights and actionable recommendations for technical and non-technical stakeholders at all levels. - Contribute to Amazon's scientific community and the broader external research field through collaboration and publication in top-tier venues. - Mentor and develop fellow scientists by providing technical guidance, reviewing research, and fostering a culture of scientific rigor across the team. A day in the life You might start the morning sketching a methodology for measuring time-varying average treatment effects, then prototyping it in Python on real supply chain experiment data. You'll publish at top venues like NeurIPS, ICML, and JASA, and influence how scientists across SCOT think about causal inference in various settings. The problems are open, the data is unmatched in scale, and the methods you build will move billions of dollars in inventory decisions. If you want to do foundational research that makes real impact across Amazon's supply chain, this is where you do it. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Forecasting and Labs Science team sits at the heart of Amazon's supply chain, building the science that determines what products are available, when, and at what cost for hundreds of millions of customers around the world. Our mission spans two deeply connected frontiers: pushing the boundaries of large-scale time series forecasting through foundation models that generalize across an enormous and diverse catalog of products, and building the experimentation and causal inference methodology that rigorously evaluates whether supply chain policy changes should ship to production. We are a team of scientists who care deeply about both research rigor and real-world outcomes. We don't just publish: we ship. And we don't just ship: we measure, iterate, and raise the bar. On the forecasting side, we build foundation models at a scale unmatched in industry, running experiments across millions of products and exploring novel data generation techniques that open new frontiers in model generalization. On the experimentation side, we design and run randomized controlled trials across hundreds of fulfillment nodes, advance causal inference in settings where interference is unavoidable, and build supply chain emulation systems that can evaluate policy changes in hours rather than months. Our work spans the full lifecycle: from foundational research and large-scale experimentation to production deployment and downstream impact measurement across supply chain, inventory, and financial planning. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with conducting research in a corporate setting Preferred Qualifications: - Experience with neural deep learning methods and machine learning - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, NY, New York - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Part-time Applied Scientist, Labs, SCOT Forecasting and Labs at Amazon.com Services LLC. Skills: Causal inference, Machine learning, Supply chain. Advance causal inference methodology. 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Austin:1411 Brazos (320TX-4000)
1411 Brazos St
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federal regulatory laws knowledge", "qualificationsPreferred" : "Experience in budget preparation, Experience in budget analysis, Graduation accredited four-year college, Major coursework accounting, Major coursework finance, Major coursework business, Major coursework public administration, Major coursework related field, Knowledge agency financial program, Knowledge agency policies, Knowledge agency procedures, Knowledge state federal laws, Knowledge regulations fiscal operations, Ability gather assemble correlate analyze, Ability devise solutions problems, Ability write concisely, Experience data gathering, Experience data analysis, Ability analyze fiscal management information, Ability determine appropriate use funds, Ability perform statistical analyses, Ability communicate effectively, Knowledge legislative appropriation request, Knowledge annual operating budget processes, Knowledge performance measurement, Knowledge performance reporting, Ability identify develop budgetary reports, Ability identify develop budgetary schedules, Ability analyze management problems, Ability develop present solutions, Experience Texas legislative process, Familiarity General Appropriations Act, Experience cost estimating bill analysis, Experience PeopleSoft Financial system, Experience Centralized Accounting Payroll Personnel System, Experience Microsoft Office Suite, Experience Excel analysis tools, Higher education degree relevant field, Prior work experience Texas state agency, Prior work experience Texas state institution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: We are looking for you to take the next step! The Texas Workforce Commission (TWC) is seeking a Budget Analyst V to join the Unemployment Insurance (UI) Administration & Operational Support (UIA&OS) Department, to provide financial guidance and support to the UI Division senior management team. This in-office position will be located at 1411 Brazos Street, Austin, Texas. TWC is not considering applications from individuals who require sponsorship for an employment visa, including 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: The ideal candidate will share our vision of helping division management achieve the efficient use of financial resources and promote highly effective financial management controls. UIA&OS is seeking a Budget Analyst V who enthusiastically shares our department's *E.P.I.C. (Engage, Promote, Inform, Continuously Improve) vision and values in a positive, high-paced, energetic team environment. Each day, we reinforce our vision: \"Creating a Positive Culture of Excellence and High Expectations Focused on Continuous Improvement.\" The Budget Analyst V performs highly advanced (senior-level) budget preparation and analysis work. Work involves overseeing the planning, organizing, coordinating, and evaluating of budgetary activities and performance measures. Will supervise the work of a Budget Analyst IV. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. WHAT YOU WILL DO: -Oversee the planning, organizing, coordinating, and evaluating of budgetary activities. -Oversee the development of budgetary performance and workload measures. -Oversee the preparation of budgetary and management reports and the preparation of financial statements and reports. -Analyze expenditure patterns and cost drivers and makes recommendations on the use of funds. -Coordinate the preparation of budgets to provide management with expenditure data, trends, and recommendations. -Coordinate the preparation of operating budgets. -Ensure accuracy and timeliness of submission of the strategic plan, legislative appropriations requests, fiscal notes, analyses of legislation, and requests for federal funding. -Ensure coordination of budgeting procedures, preparation, and reporting. -Establish work methods and priorities and determines methodologies and techniques for performing budget evaluations. -Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations. -Inform management of budget deviations, problems, and events likely to affect operations; explains causes; and measures effect on the agency’s mission and resources. -Issue instructions on budget and funding policies, procedures, and methods. -Perform the full range of work identified in the levels preceding their own and coordinates or oversees that work for another. -Perform related work as assigned. YOU QUALIFY WITH: -Five years of full-time experience in budget preparation, accounting, auditing, financial planning or management, or positions which provided knowledge of public sector budgetary controls, administrative procedures, and related state and federal regulatory laws. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE GREAT FIT WITH: -Experience in budget preparation and analysis, and graduation from an accredited four-year college or university with major coursework in accounting, finance, business, public administration, or a related field is preferred. -Demonstrated knowledge of the agency’s financial program, policies and procedures, state and federal laws and regulations pertaining to the agency’s fiscal operations. -Ability to gather, assemble, correlate, and analyze facts; to devise solutions to problems, and to write concisely. -Experience in data gathering and analysis. -Ability to analyze fiscal management information, to determine appropriate use of funds, to perform statistical analyses, and to communicate effectively. -Knowledge of legislative appropriation request (LAR) and annual operating budget processes and of performance measurement and reporting. -Ability to identify and develop budgetary reports and schedules, to analyze management problems and develop and present solutions. -Experience with the Texas legislative process, including familiarity with the General Appropriations Act and cost estimating for bill analysis. -Experience with PeopleSoft Financial system/Centralized Accounting and Payroll/Personnel System (CAPPS). -Experience with Microsoft Office Suite, especially Excel or similar analysis tools/software. - Higher education degree in relevant field. - Prior work experience in a Texas state agency/institution, or Texas county. - Experience in preparing annual operating budgets. - Experience with the Texas legislative process, including familiarity with legislative appropriation requests (LAR), the General Appropriations Act, and cost estimating for bill analysis. - Experience with PeopleSoft financial system. - Basic, intermediate or advanced experience with Microsoft Excel. - Experience as a supervisor for one or more years, with an enhanced preference of supervising at least one budgeting analyst. - Knowledge of performance measurement and reporting. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $8,000.00/month (set, non-negotiable amount) - 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. The position's normal hours are from 8:00 am to 5:00 pm, Monday - Friday. Duties require up to 5% travel (within the state of Texas) with occasional lifting and carrying of 15 pounds and frequent walking, bending, squatting, twisting and standing involved. Criminal background check conducted on final candidate. PLEASE NOTE: All applications should contain complete job history entries, which includes job title, dates of employment, name of employer, supervisor's name and phone number and a description of duties performed. If this information is not submitted, your application may be rejected because it is incomplete. Resumes do not take the place of this required information. 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_AccountingAuditingandFinance.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 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" : "Budget Analyst V at Texas Workforce Commission. Skills: Budget analysis, Financial reporting, Expenditure analysis, Fiscal operations. Oversee planning budgetary activities. Oversee organizing budgetary activities", "createdAt" : "2026-06-14T08:12:03.486", "lastUpdated" : "2026-06-15T06:56:40.324", "ingestTimestamp" : "2026-06-14T08:12:03.486", "mongoId" : "6960824e0937eae70e9c85fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Budget preparation", "Accounting", "Auditing", "Financial planning", "Financial management", "Budgetary controls", "Administrative procedures", "Regulatory laws", "Data gathering", "Data analysis", "Fiscal management", "Statistical analysis", "Legislative appropriation", "Operating budget", "Performance measurement", "Performance reporting", "Management problems", "Cost estimating", "Bill analysis", "Budget analysis", "Financial reporting", "Expenditure analysis", "Fiscal operations", "Public sector budgetary controls", "State federal regulatory laws", "Agency fiscal operations", "Legislative appropriation request", "Annual operating budget processes", "Texas legislative process", "General Appropriations Act", "Cost estimating bill analysis", "PeopleSoft Financial system", "CAPPS", "Excel" ], "skillCount" : 34, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f052beec4dd3d9340ac", "title" : "Data Engineer, SCOT WW Long Term Planning and Forecasting", "company" : "ADCI HYD 13 SEZ", "industry" : "Software Development, Data Engineering, operations", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Hyderabad, India, adjusted for the E-commerce industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:58:29.395", "fingerprint" : "8bd2ffe81302524baba7fa6c13eff0cacf402039878c88462d2ee8e1831323ea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382301/apply", "externalId" : "5d5973f1-1d9b-4998-b826-c59933150aac", "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", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, ETL, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Object storage, Document stores, Key-value stores, Graph databases, Column-family databases", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Business requirements", "Reporting solutions", "Data pipelines", "Technology direction", "Data engineering team", "Backend data solutions", "Analytic support", "Product improvements", "Design problems", "Database storage" ], "hardSkillsList" : [ "Data modeling", "Data warehousing", "ETL pipelines", "SQL" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data warehousing, ETL", "majorSkillsList" : [ "Data engineering", "Data warehousing", "ETL" ], "coreResponsibilities" : "Build data solutions, Maintain data warehouse implementations, Develop tools for data integration, Identify storage technologies, Architect storage technologies, Execute projects, Deliver data pipelines, Define continuous improvement processes, Drive technology direction, Lead data engineering team, Support backend data solutions, Create technical content, Provide consultation, Gather feedback, Design new features, Deliver new features, Deploy data solutions, Provide operational support, Automate fixes for operational issues, Leverage AWS services, Integrate applications", "teamCollaboration" : "Multiple internal teams; Other engineers; Internal teams; Data product managers; Engineering teams", "domainKnowledge" : "Long-Term Forecasting; Demand forecasting; Inventory planning; Cube plans; Data warehouse environments; Supply Chain Optimization", "domainList" : [ "long-term-forecasting", "demand-forecasting", "inventory-planning", "cube-plans", "data-warehouse-environments", "supply-chain-optimization" ], "domainSpecificKnowledge" : [ "Long-Term Forecasting", "Demand forecasting", "Inventory planning", "Cube plans", "Data warehouse environments", "Supply Chain Optimization" ], "communicationSkills" : "Business communication; Customer consultation", "documentationSkills" : "Documentation abilities", "innovationCreativity" : "Innovative approaches", "problemSolvingSkills" : "Solve design problems", "qualificationsBasic" : "3+ years of data engineering experience, 4+ years of SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We are Long-Term Forecasting and Planning Team. We own highly scalable services to manage demand forecasting for Amazon WW, determining inventory and cube plans for millions of items stored in Amazon warehouses across the globe. You should have deep expertise in the design, creation, management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change. Key job responsibilities This role requires an Engineer with 4+ years experience in building data solutions, combined with both consulting and hands-on expertise. The position involves helping to build new and maintain existing data warehouse implementations, developing tools to facilitate data integration, identifying and architecting appropriate storage technologies, executing projects to deliver high-quality data pipelines on time, defining continuous improvement processes, driving technology direction, and effectively leading the data engineering team. You will work with multiple internal teams who need support in managing backend data solutions. Using your deep technical expertise, strong relationship-building skills, and documentation abilities, you will create technical content, provide consultation to customers, and gather feedback to drive the AWS analytic support offering. As the voice of the customer, you will work closely with data product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges. A day in the life A typical day on our team involves collaborating with other engineers to deploy new data solutions through our large automated systems while providing operational support for your newly deployed software. You will seek out innovative approaches to automate fixes for operational issues, leverage AWS services to solve design problems, and engage with other internal teams to integrate your applications with theirs. You'll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a startup. This is an opportunity to operate and engineer systems on a massive scale and to gain top-notch experience in database storage technologies About the team We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience. Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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 Engineer, SCOT WW Long Term Planning and Forecasting at ADCI HYD 13 SEZ. Skills: Data engineering, Data warehousing, ETL. Build data solutions. Maintain data warehouse implementations", "postedDate" : "2026-06-13T03:13:40.944", "createdAt" : "2026-06-13T03:13:40.944", "lastUpdated" : "2026-06-15T01:58:29.395", "ingestTimestamp" : "2026-06-13T03:13:40.944", "mongoId" : "69cf3f052beec4dd3d9340ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382301/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Data engineering", "ETL", "Business requirements", "Reporting solutions", "Data pipelines", "Technology direction", "Data engineering team", "Backend data solutions", "Analytic support", "Product improvements", "Design problems", "Database storage", "Long-Term Forecasting", "Demand forecasting", "Inventory planning", "Cube plans", "Data warehouse environments", "Supply Chain Optimization" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca5b274d8ee00a09b7ca7", "title" : "Mid-Level Full Stack Developer (. Net and Azure)", "company" : "Dev Technology", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Level Full Stack Developer in Herndon, United States, adjusted for the technology industry and mid-level experience." }, "location" : "Reston, Virginia, United States", "locations" : [ "Reston", "Virginia", "United States" ], "timestamp" : "2026-06-16T01:58:38.639", "fingerprint" : "abdc10181a803db4e8f8538cf19fe7963783df6ad3c328b9ea692f0a4f7ab87d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/devtechnology/jobs/8579487002", "externalId" : "8579487002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C, C++, C#, Java, JavaScript, Python, ASP.NET MVC, NET Core, Azure SQL Server, Web API, Azure Data Factory, SSIS, SSRS, Azure Active Directory, Power BI", "professionalSkills" : [ "System design", "Requirements definition" ], "hardSkillsList" : [ "Integration testing", "Unit testing" ], "softSkillsList" : [ "Agile teams" ], "hardSkills" : [ { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agile teams" } ], "majorSkills" : "Full Stack Development, Cloud Engineering, NET, Azure", "majorSkillsList" : [ "Full Stack Development", "Cloud Engineering", "NET", "Azure" ], "coreResponsibilities" : "Design high-quality solutions, Build high-quality solutions, Maintain high-quality solutions, Solve complex technical challenges, Solve business challenges, Collaborate with stakeholders, Define requirements, Write code, Test code, Manage integrations, Address risks, Participate in meetings with customers, Lead meetings with customers, Understand business needs, Understand scenarios, Use business strategies, Use technology strategies, Use industry strategies, Define customer requirements, Define partner requirements, Engage others, Support project planning, Develop project documents, Define risks, Define dependencies, Communicate business value, Implement mitigations, Manage schedule, Communicate with project leads, Identify issues, Identify risks, Address issues, Resolve issues, Write integration tests, Write Unit tests, Maintain integration tests, Maintain Unit tests, Utilize product expertise, Drive project plans, Drive release plans, Take ownership, Write code, Test code, Maintain code, Resolve system integration challenges, Work across team boundaries", "teamCollaboration" : "Agile teams; Project Managers", "projectManagementSkills" : [ "Agile", "Project planning" ], "domainKnowledge" : "Cloud technologies; Data technologies", "domainList" : [ "cloud-technologies", "data-technologies" ], "domainSpecificKnowledge" : [ "Cloud technologies", "Data technologies" ], "toolProficiency" : [ "Unit Test" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "U. S. Citizenship, TSA Public Trust", "qualificationsBasic" : "Bachelor's Degree in Computer Science, 5+ years of technical engineering experience, Coding in languages including C, C++, C#, Java, JavaScript, or Python, 10 years of experience in lieu of degree, Exceptional communication, both written and verbal, Obtain a Public Trust Clearance", "qualificationsPreferred" : "Proficiency in SQL, UX/UI proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mid-Level Full Stack Developer (.Net and Azure), #1060 Location: Herndon, VA (hybrid once a quarter) Clearance: U. S. Citizenship is required. Must be able to obtain TSA Public Trust. We’re looking for a highly skilled Mid-Full Stack Developer/Cloud Engineer to design, build, and maintain high-quality solutions that solve complex technical and business challenges. You’ll collaborate with stakeholders to define requirements, write and test code, manage integrations, and proactively address risks. The ideal candidate is a self-starter who thrives in ambiguity, enjoys working in Agile teams, and is eager to learn and grow in a hybrid environment. This role is perfect for someone who enjoys solving complex problems, taking initiative in undefined spaces, and working with a collaborative, high-performing team. What You'll Be Doing: Participates in and/or may lead meetings with customers/partners to understand their business needs and/or the scenario they are trying to solve. Uses business, technology, and industry strategies to define customer/partner requirements and constraints. Engages others appropriately to understand and define customer requirements. Supports project planning and the development of project documents by defining the risks and dependencies. Communicates the business value of planned solutions to customers/ partners with direction/guidance. Implements mitigations of technical and business risks. Manages their schedule and communicates with project leads. Proactively identifies issues and risks and engages with customers/partners or internal stakeholders (e.g., Project Managers) as appropriate to address and resolve issues. Writing and maintaining integration and Unit tests for the features. Utilize product expertise to collaborate with stakeholders and drive project and release plans for the workgroup. Take ownership of writing, testing, and maintaining high-quality code. Resolve complex system integration challenges working across team boundaries.  Required Education, Experience, and Skills: Bachelor's Degree in Computer Science or related technical field AND 5+ years of technical engineering experience with coding in languages including, but not limited to C, C++, C#, Java, JavaScript, or Python, OR 10 years of experience (experience in lieu of degree), in technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Must demonstrate exceptional communication, both written and verbal An ability to obtain a Public Trust Clearance is required Familiar with Cloud/Data technologies, including but not limited to: ASP.NET MVC .NET Core Experience with coding in languages including, but not limited to, C#, Java, JavaScript, or Python Azure SQL Server Web API Azure Data Factory SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Azure Active Directory Power BI Unit Test Preferred Education, Experience, and Skills: Must be able to demonstrate proficiency in SQL UX/UI this information will not be shared with any third parties.", "summaryDescription" : "Mid-Level Full Stack Developer (. Net and Azure) at Dev Technology. Skills: Full Stack Development, Cloud Engineering, NET, Azure. Design high-quality solutions. Build high-quality solutions", "postedDate" : "2026-06-14T18:37:27.213", "createdAt" : "2026-06-14T18:37:27.213", "lastUpdated" : "2026-06-16T01:58:38.639", "ingestTimestamp" : "2026-06-14T18:37:27.213", "mongoId" : "6a2ca5b274d8ee00a09b7ca7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Integration testing", "Unit testing", "Agile teams", "Full Stack Development", "Cloud Engineering", "NET", "Azure", "System design", "Requirements definition", "Agile", "Project planning", "Cloud technologies", "Data technologies", "Unit Test" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf15072beec4dd3d8ec910", "title" : "Residential Care and Educational Support Worker", "company" : "VSA", "industry" : "Education", "salary" : { "min" : 23000.0, "max" : 29000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Residential Care and Educational Support Worker in Aberdeen, UK, adjusted for the education industry and company size." }, "location" : "Aberdeen, Peterculter, GB", "locations" : [ "Aberdeen", "Peterculter", "GB" ], "timestamp" : "2026-06-15T22:47:31.281", "fingerprint" : "a81540125dabf3805e9ac4771050f147c2be89b2e818ccf21f55540efb2ee824", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vsa.breezy.hr/p/7e5b1793471a01-residential-care-and-educational-support-worker-linn-moor-campus-peterculter", "externalId" : "7e5b1793471a01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aberdeen", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "57.1482429,-2.0928095" } ], "locationText" : "Aberdeen, United Kingdom", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Help young people thrive, Help young people flourish", "domainKnowledge" : "Vulnerable young people", "domainList" : [ "vulnerable-young-people" ], "domainSpecificKnowledge" : [ "Vulnerable young people" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "BE PART OF IT! We currently have a fantastic opportunity for the right person to join our team at Linn Moor, if you are passionate about helping vulnerable young people thrive and flourish in a nurturing environment, this could be the right opportunity for you. We have recently welcomed a few new s", "summaryDescription" : "Residential Care and Educational Support Worker at VSA. Help young people thrive. Help young people flourish", "createdAt" : "2026-06-14T21:15:24.456", "lastUpdated" : "2026-06-15T22:47:31.281", "ingestTimestamp" : "2026-06-14T21:15:24.456", "mongoId" : "69cf15072beec4dd3d8ec910", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Vulnerable young people" ], "skillCount" : 1, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.85 }, { "id" : "6a25146374d8ee00a00bb7c3", "title" : "Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 99500.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T06:35:20.041", "fingerprint" : "48f0ec17ea28b18d4c7a924330e7c07a6cb65fc951dc5ae1c4e47b1c287c8e89", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440102/apply", "externalId" : "3b89936c-881f-4e3c-8558-b94bbdf6e8b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Redshift, Oracle, NoSQL, SQL, Python, R, SAS, Matlab, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Long-term forecasting", "Business monitoring", "Data visualization", "Data modeling", "ETL processes", "Automated reporting", "Deep-dive analyses", "Data quality issues", "Metric definitions", "Code quality" ], "hardSkillsList" : [ "Statistical analysis", "Data modeling", "ETL development", "Data pipelines", "Forecast performance", "Root-cause insights", "Data-driven decision making", "Data quality troubleshooting", "Project management", "Process improvement" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Forecast performance", "level" : "intermediate" }, { "name" : "Root-cause insights", "level" : "intermediate" }, { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Data quality troubleshooting", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data engineering, Forecasting, Data visualization", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Forecasting", "Data visualization" ], "coreResponsibilities" : "Develop analytical dashboards, Maintain analytical dashboards, Develop reports, Maintain reports, Develop data pipelines, Maintain data pipelines, Track forecast performance, Collaborate with scientists, Collaborate with engineers, Collaborate with product managers, Gather requirements, Deliver data solutions, Surface root-cause insights, Escalate trade-offs, Escalate prioritization decisions, Build data models, Maintain data models, Build ETL processes, Maintain ETL processes, Build automated reporting mechanisms, Maintain automated reporting mechanisms, Optimize for performance, Optimize for reliability, Leverage generative AI tools, Leverage generative AI techniques, Accelerate insight generation, Automate reporting workflows, Contribute ideas for AI improvements, Conduct deep-dive analyses, Identify trends, Identify patterns, Identify opportunities for improvement, Deliver clear findings, Contribute to analyses, Identify data quality issues, Identify data dependencies, Identify data bottlenecks, Troubleshoot issues, Resolve issues, Escalate systemic problems, Own projects, Deliver projects, Develop project plans, Track milestones, Communicate findings, Adopt team best practices, Champion team best practices, Improve processes, Improve tools, Support onboarding, Contribute to knowledge-sharing, Participate in hiring loops, Participate in technical assessments", "teamCollaboration" : "Internal stakeholders; External consumers; Senior team members; Science teams; Engineering teams; Team leads; Stakeholders", "projectManagementSkills" : [ "Project management", "Project plans", "Milestone tracking" ], "domainKnowledge" : "Supply chain planning; Inventory planning; Long-term forecasting; Topline planning; Capacity planning; Ordered units; GMS; Inventory units; Inventory cost; FC building capacity; FC topology", "domainList" : [ "supply-chain-planning", "inventory-planning", "long-term-forecasting", "topline-planning", "capacity-planning", "ordered-units", "gms", "inventory-units", "inventory-cost", "fc-building-capacity", "fc-topology" ], "domainSpecificKnowledge" : [ "Supply chain planning", "Inventory planning", "Long-term forecasting", "Topline planning", "Capacity planning", "Ordered units", "GMS", "Inventory units", "Inventory cost", "FC building capacity", "FC topology" ], "toolProficiency" : [ "Amazon QuickSight", "Tableau" ], "communicationSkills" : "Communicate findings", "documentationSkills" : "Well-documented solutions", "innovationCreativity" : "AI-driven improvements", "problemSolvingSkills" : "Root-cause insights; Deep-dive analyses; Troubleshooting; Resolve issues; Problem solving", "qualificationsBasic" : "3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle, 1+ years processing large datasets, 1+ years statistical analysis, 1+ years automated reporting, Experience with data visualization, Experience with data modeling, Experience building ETL pipelines, Experience in Statistical Analysis packages, Experience using SQL, Scripting experience (Python)", "qualificationsPreferred" : "Experience with AWS solutions, Experience in data mining, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Where will Amazon's growth come from next year? In five years? Which product lines are staged to quintuple in size, and which ones are mature? Are we investing enough in our infrastructure, or too much? How will our customers react to changes in prices, or selection, or delivery speed? The SCOT Long-Term Planning and Forecasting (LTPF) team works to answer these key questions. The Supply Chain Optimization Technology (SCOT) team owns Amazon's global inventory planning systems: SCOT decides what, when, where, and how much inventory to buy in order to meet customer needs as well as Amazon's business goals. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and represent the forefront of automated large scale supply chain planning and optimization systems.. SCOT LTPF is responsible for long-term forecasting and planning across Topline, Inventory, and Capacity — helping Amazon plan key metrics including ordered units and GMS, inventory units and cost, and FC building capacity and topology (size and location). SCOT LTPF is looking for a Business Intelligence Engineer to support the team. LTPF BI Engineers build and maintain analytical tools supporting Topline, Inventory, and Capacity planning, and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. The ideal candidate will have experience in leading analytics projects including but not limited to: forecasting, business monitoring, business intelligence and data visualization. The candidate should also have experience mapping analytical solutions to business problems in the most ambiguous environments with a track record of making data easy to consume for end users. This position will require extensive stakeholder and project management. Key job responsibilities - Develop and maintain analytical dashboards, reports, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning — following established architectural patterns and team standards to ensure solutions are reliable and well-documented - Collaborate with scientists, engineers, and product managers to gather requirements and deliver data solutions that surface root-cause insights — escalating trade-offs and prioritization decisions to senior team members when needed - Build and maintain data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making — optimizing for performance and reliability within the team's existing frameworks - Leverage generative AI tools and techniques to accelerate insight generation and automate reporting workflows, contributing ideas for new AI-driven improvements to the team's analytical processes - Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement — delivering clear findings on well-scoped business questions and contributing to analyses on more complex or ambiguous problems with guidance from senior team members - Proactively identify data quality issues, dependencies, and bottlenecks — troubleshooting and resolving issues within scope and escalating broader systemic problems with clear documentation - Own and deliver medium-complexity projects from start to finish — developing project plans, tracking milestones, and communicating findings clearly to team leads and stakeholders - Adopt and champion team best practices in data modeling, metric definitions, and code quality — proactively identifying opportunities to improve processes and tools within your area of ownership - Support onboarding of new team members and contribute to knowledge-sharing initiatives; participate in hiring loops and technical assessments as a bar raiser candidate (with development support) A day in the life LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers, making sure changes across Topline, Inventory, and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning — and work with science and engineering teams to resolve forecast and planning questions. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Long-Term Planning & Forecasting (LTPF) enables coordinated long-term planning and drives critical decisions that maximize Amazon's ability to serve customers worldwide. The organization develops forecasting, optimization, and analytics products and services to plan Amazon's Topline, Inventory, as well as Capacity and Topology, driving strategic decisions and Amazon policies to improve key business metrics. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Business intelligence, Data engineering, Forecasting, Data visualization. Develop analytical dashboards. 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Last Mile Tech teams; Operations teams; Business Development teams; BI analysts; Engineers; Product teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Last mile delivery; Capacity Planning; Scheduling; Forecasting; On Road Management", "domainList" : [ "last-mile-delivery", "capacity-planning", "scheduling", "forecasting", "on-road-management" ], "domainSpecificKnowledge" : [ "Last mile delivery", "Capacity Planning", "Scheduling", "Forecasting", "On Road Management" ], "toolProficiency" : [ "Tableau", "AWS QuickSight", "Cognos" ], "communicationSkills" : "Convey complex ideas", "innovationCreativity" : "Develop original ideas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree, Knowledge of BI analytics, Experience in fast-paced, Experience engaging stakeholders, Experience defining program requirements, Experience working cross functionally, Speak, write, and read fluently in English", "qualificationsPreferred" : "Experience in program management, Experience in logistics, Experience in operations, Experience in supply chain, Experience in transportation, Experience building teams, Experience managing teams, Experience coaching teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Program Manager to join our team, launch new programs, and drive improvements in the processes and technologies used within Trans Execution BR in Brazil. The Program Manager must be able to stand out and grow in a new team with a high degree of ambiguity. In this role, you will think big, develop original ideas, and directly influence and collaborate with the Transportation, Last Mile Tech, Operations, and Business Development teams to expand Trans Execution BR in Brazil. Key job responsibilities • Define the program (mission, vision, philosophy), set goals, analyze data, and drive improvements quantified by metrics • Lead the implementation of IWP Caps and Forecasting processes in Brazil, adapting best practices to the local context • Understand business problems, automation limitations, Scaling Factors, technological constraints, and the context of leadership decisions to drive the program • Manage multiple projects and tasks simultaneously, influencing, negotiating, and communicating with internal business partners • Oversee gaps between teams, processes, and systems • Identify and mitigate business risks before they become obstacles • Ensure critical path timelines are met, resource needs are understood, and project priorities are visible to Senior Management • Work closely with operations, product, and engineering teams to identify root causes and solve complex problems related to improving system functionality and reliability • Collaborate with BI analysts and engineers on planning and analysis to build analytical solutions that achieve business objectives About the team Trans Execution BR is a team that explores new approaches and ways of working at Amazon Logistics, offering scalable solutions to operate increasingly complex and growing last mile delivery networks. Trans Execution BR is responsible for critical processes such as Capacity Planning, Scheduling, Forecasting, and On Road Management, with the vision of continuously transforming these processes in a scalable manner. In Brazil, we are building the IWP Caps and Forecasting team and are looking for a Program Manager to lead this expansion. Basic Qualifications: - Bachelor's degree - Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools - Experience in a fast-paced, high-tech company, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner - Experience defining program requirements and using data and metrics to determine improvements - Experience working cross functionally with tech and non-tech teams - Speak, write, and read fluently in English Preferred Qualifications: - Experience in program management, logistics, operations, supply chain, transportation, or equivalent - Experience in capacity planning, operations planning, business analysis or equivalent - Experience building, managing and coaching a team in a high-growth environment 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" : "Program Manager, Intraweek planning Caps and Forecasting, BR Trans Execution at Amazon Logistica do Brasil. Skills: Program management, Process improvement, Forecasting. Define program mission. Define program vision", "postedDate" : "2026-06-13T13:56:03.106", "createdAt" : "2026-06-13T13:56:03.106", "lastUpdated" : "2026-06-15T02:00:28.874", "ingestTimestamp" : "2026-06-13T13:56:03.106", "mongoId" : "69cf3f092beec4dd3d934388", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381155/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Forecasting", "Data analysis", "Negotiating", "Program management", "Process improvement", "Capacity planning", "Operations planning", "Business analysis", "Last mile delivery", "Capacity Planning", "Scheduling", "On Road Management", "Tableau", "AWS QuickSight", "Cognos" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305e6cf292fd229cf70733", "title" : "Site Management Associate (SMA) - Including CTA responsibilities and more!", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 120000.0, "max" : 175000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Site Management Associate in Ra'anana, Israel, adjusted for the healthcare industry and company size." }, "location" : "Ra'anana, Center District, IL", "locations" : [ "Ra'anana", "Center District", "IL" ], "timestamp" : "2026-06-16T07:27:35.158", "fingerprint" : "33c31875ec9a7e50ef37084147d421359dba1792b19d64a403bc8dac02cebab8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000131652929-site-management-associate-sma-including-cta-responsibilities-and-more-", "externalId" : "744000131652929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ra'anana", "state" : "Center District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.1860244,34.8678359" } ], "locationText" : "Ra'anana, Center District, Israel", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "MS Office, Word, Excel, PowerPoint", "professionalSkills" : [ "Site management", "Document management", "Vendor management", "Regulatory submissions", "Ethics committee submissions", "Trial Master File", "Investigator Site Files", "Safety information flow", "CTMS management" ], "hardSkillsList" : [ "Site management activities", "Trackers management", "TMF oversight", "ISF checklists", "Safety information flow", "CTMS updates" ], "hardSkills" : [ { "name" : "Site management activities", "level" : "intermediate" }, { "name" : "Trackers management", "level" : "intermediate" }, { "name" : "TMF oversight", "level" : "intermediate" }, { "name" : "ISF checklists", "level" : "intermediate" }, { "name" : "Safety information flow", "level" : "intermediate" }, { "name" : "CTMS updates", "level" : "intermediate" } ], "majorSkills" : "Site management, Document management, Clinical research", "majorSkillsList" : [ "Site management", "Document management", "Clinical research" ], "coreResponsibilities" : "Perform site management activities, Manage documents and trackers, Communicate with sites and study vendors, Exchange data, documents, and project information, Ensure order, receipt, inventory storage, distribution, return/recall and, Ensure regulatory and ethics committee submissions and notifications, Ensure proper administration of sites and vendors payments, Coordinate preparation for and follow-up on site, TMF, Review and coordinate site-specific EDC completion, Provide Monitor with regular updates on completion status, Support organization of internal team meetings, Prepare agendas and minutes for meetings, Support organization of Investigator’s Meetings, Maintain study-specific and corporate tracking systems, Maintain Trial Master File, Perform TMF oversight at country/site level, Prepare, distribute, and update Investigator Site Files, Prepare and distribute ISF checklists, Revise and check translation status, Ensure proper safety information flow with investigative sites, Update CTMS with project information, Support Monitors in completion of subject and site, Support Monitors in meeting deadlines for site visits", "teamCollaboration" : "International team; Project team; PSI departments; Study vendors; Investigative sites; Monitors", "projectManagementSkills" : [ "Clinical research projects" ], "domainKnowledge" : "Clinical research; Contract Research Organization; Medicinal products; Therapeutic indications; Life Sciences", "domainList" : [ "clinical-research", "contract-research-organization", "medicinal-products", "therapeutic-indications", "life-sciences" ], "domainSpecificKnowledge" : [ "Clinical research", "Contract Research Organization", "Medicinal products", "Therapeutic indications", "Life Sciences" ], "toolProficiency" : [ "MS Office", "CTMS" ], "communicationSkills" : "Communication with sites; Communication with vendors; Communication with study vendors; Communication with project team; Communication with PSI departments; Communication with investigative sites", "documentationSkills" : "Document management; Maintain systems; Managing documents; Managing information; Trial Master File; Investigator Site Files; ISF checklists; Safety information flow", "continuousLearning" : "Onboarding program; Mentorship program; Professional growth", "problemSolvingSkills" : "Problem-solving abilities", "qualificationsBasic" : "College/University Degree (Life Sciences), Prior administrative experience in Clinical Research / CRO environment, Full working proficiency in Hebrew, Good English skills, Proficiency in standard MS Office applications", "qualificationsPreferred" : "Experience in an international setting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PSI is a leading Contract Research Organization with more than 30 years in the industry, offering a perfect balance between stability and innovation to both clients and employees. We focus on delivering quality and on-time services across a variety of therapeutic indications. Join our international team and be the key support to clinical research projects, streamlining communication, maintaining systems and managing documents & information. You will focus on facilitating research projects of novel medicinal products, while taking a step further in your professional career. Office-based role in Ra'anana, Israel The scope of responsibilities will include: Performs site management activities, documents and trackers management, and communication with the sites and study vendors. Site Management and Communication * Exchanges data, documents and other project relevant information between investigative sites, site vendors and the project team, and with other PSI departments * Ensures order, receipt, inventory storage, distribution, return/recall and reconciliation of clinical supplies * Ensures regulatory and ethics committee submissions and notifications * Ensures proper administration of sites and vendors payments, as applicable * Coordinates preparation for and follow-up on site, TMF and systems´ audits and inspections * Reviews and coordinates site-specific EDC completion and provides the site Monitor with regular updates on the completion status * Supports the organization of internal team meetings including preparation of agendas and minutes, and also of Investigator’s Meetings * Maintains study-specific and corporate tracking systems Document Management * Maintains Trial Master File and performs TMF oversight at country/site level * Prepares, distributes, and updates Investigator Site Files and ISF checklists * Revises and checks translation status Safety Management * Ensures proper safety information flow with investigative sites CTMS Management * Updates CTMS with project information * Supports Monitors in completion of all subject and site events information in CTMS, and meeting deadlines for site visits and visit reports ## Qualifications * College/University Degree (Life Sciences) * Prior administrative experience in Clinical Research / CRO environment, preferably in an international setting * Full working proficiency in Heberw and good English skills * Proficiency in standard MS Office applications (Word, Excel and PowerPoint) * Good organizational and planning skills, problem-solving abilities, flexibility * Detail-oriented, able to multi-task and work effectively in a fast-paced environment * Team-oriented with excellent customer service and interpersonal skills, including a positive attitude to tasks and projects *Please send your CV in English ## Additional Information As a privately owned mid-size CRO, we are constantly growing, offering plenty of opportunities for personal and professional growth. Our extensive onboarding and mentorship program will prepare you to fulfil your tasks with the highest standards, offering you: * Excellent and flexible working conditions * A unique combination of team collaboration and independent work * Competitive salary and benefits package * Opportunities for personal and professional growth Make the right call and take your career to a whole new level. Join a company that focuses on its people and invests in their professional development and success. [Do you want to make a difference? | | Discover PSI. - PSI CRO Recruitment Brochure](https://che01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpsi-cro.turtl.co%2Fstory%2Fpsi-career-facts-and-figures%2Fpage%2F1&data=05%7C02%7COsnat.Nixon%40psi-cro.com%7C5f35eafe71164c306b5908de30a64017%7C6751a42d0cb04687a7821e3522d6718d%7C1%7C0%7C639001687751682103%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=PyJc5NKbw1dEYhQEz3EQHtLVs4161uj8eKt7HpQ49QM%3D&reserved=0)", "summaryDescription" : "Site Management Associate (SMA) - Including CTA responsibilities and more! at PSI CRO. Skills: Site management, Document management, Clinical research. Perform site management activities. Manage documents and trackers", "postedDate" : "2026-06-11T11:46:08.000", "createdAt" : "2026-06-15T23:45:50.135", "lastUpdated" : "2026-06-16T07:27:35.158", "ingestTimestamp" : "2026-06-15T23:45:50.135", "mongoId" : "6a305e6cf292fd229cf70733", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Site management activities", "Trackers management", "TMF oversight", "ISF checklists", "Safety information flow", "CTMS updates", "Site management", "Document management", "Clinical research", "Vendor management", "Regulatory submissions", "Ethics committee submissions", "Trial Master File", "Investigator Site Files", "CTMS management", "Clinical research projects", "Contract Research Organization", "Medicinal products", "Therapeutic indications", "Life Sciences", "MS Office", "CTMS" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "support and deliver forecasting cycles including rolling forecasts budget and mid year estimates jobs", "metadata" : { "title" : "support and deliver forecasting cycles including rolling forecasts budget and mid year estimates" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 35844, "totalPages" : 717, "hasNext" : true, "hasPrevious" : false } }

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