• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact • Design and analyse experiments with statistical rigour • Evaluate experimentation tooling landscape • Define tracking plans, naming conventions, and instrumentation governance • Define and implement product-level KPIs • Build and maintain governed product dashboards in LightDash • Train PMs and product leaders to interpret funnel metrics • Conduct deep-dive analyses on user behaviour, funnel performance, cohort trends, and retention dynamics • Size opportunities and build business cases • Partner with product leadership to evaluate product bets • Help shape how product analytics scales at Airalo • Partner with data and product engineering to define event tracking requirements

Title: P6 Scheduler/Data Analyst Location: Livermore, CA Reference #: REF8225W Job Code: TSS.3 Technical Services & Ops MTS 3 / TSS.4 Technical Services & Ops MTS 4 Organization: Strategic Deterrence Position Type: Career Indefinite Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation) Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana) Medical Exam: Not applicable Job Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description We have an opening for a P6 Scheduler/Data Analyst to support the Strategic Deterrence (SD) Integrated Master Schedule (IMS) initiative within nuclear and high hazard facilities. With limited general direction, you will support scheduling and schedule analytics functions that reflect management priorities, including integrating multiple projects with competing resource requirements. You will support moderate-sized program scheduling assignments, monitor progress toward milestones and key events, and develop reports and metrics to enable proactive decision-making. This position supports the SD Integrated Master Scheduling Program within the Strategic Deterrence Directorate. This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options, may vary based on the needs of the team and the organization. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. In this role you will - Develop, update, and maintain project and integrated schedules in Oracle Primavera P6, including WBS/activity setup, logic, durations, constraints, baselines, and progress updates. - Build and maintain program and project schedules that include appropriate lead times, realistic durations, major milestones, and deliverables from internal customers and vendors. - Coordinate with Integrated Project Teams to collect inputs and validate scope, sequencing, durations, resource impacts (as applicable), and milestone commitments. - Perform schedule analytics, including critical path, float, variance, slippage trends, milestone health, and key driver analysis. - Develop, run, and maintain metrics and alerts that identify activity slippage and emerging risks, enabling proactive decisions before milestone impacts occur. - Conduct “what-if” scenario analysis to evaluate sequencing and duration changes, quantify impacts, and support recovery planning. - Support re-planning and re-baselining when major schedule changes occur, including pre-rebaseline analysis and recommendations. - Develop and maintain scheduling products such as templates, fragnets, schedule baselines, schedule updates, schedule analysis, and standard and ad hoc IMS reports. - Integrate existing project schedules to produce roll-up summaries, dashboards, and reporting for program and project managers and leadership. - Reconcile and validate data across inputs (project schedules, milestones, vendor deliverables), identify data quality issues, and drive closure with owners. - Create and maintain repeatable data extracts, reporting templates, and improve reporting efficiency by reducing manual rework through standardization and automation where feasible. - Perform other duties as assigned. Additional Responsibilities at the TSS.4 Level - Design, build, publish, and maintain dashboards that communicate schedule health, milestone performance, critical path drivers, forecast trends, and key risks to multiple stakeholder levels. - Lead the implementation of scheduling functions to reflect management priorities. - Guide other schedulers to ensure a consistent application of the IMS Program across laboratory directorates. - Translate stakeholder questions into structured analyses, document assumptions and methodology, and communicate clear findings and actionable insights. - Serve as the IMS Point of Contact including supervisory responsibilities and other duties as assigned. Qualifications - Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship. - Bachelor degree in Project Management, Engineering Technology, Computer Science, Information Systems, or an equivalent combination of education and related technical experience. - Advanced interpersonal, verbal, and written communication skills necessary to effectively collaborate in a team environment and present and explain technical or operational information to regulators, reviewers, and stakeholders. - Demonstrated ability to work independently, manage multiple competing priorities under pressure, and apply strong organizational skills to accomplish work. - Advanced experience using Primavera P6 for scheduling and schedule analysis. - Advanced experience with Critical Path Method (CPM) scheduling and planning and performing Schedule Risk Assessments (SRAs). - Experience working with project leads and major stakeholders on a wide range of projects that require input from multiple organizations. - Experience developing schedules that integrate within a program and producing integrated and roll-up views. - Experience analyzing and managing schedules and effectively communicating schedule status, drivers, and impacts to all levels of the project team and stakeholders. - Experience with implementing environmental regulations and permitting requirements for construction-related projects. Additional Qualifications at the TSS.4 Level - Expertise using Primavera P6 for scheduling and schedule analysis. - Highly advanced experience leading, developing, and managing enterprise and/or integrated schedules for large, highly complex, inter-related work. - Expertise developing and using ETL (extract, transform, load) processes and mapping data between multiple databases and source systems to support integrated dashboards, metrics, and reporting. - Expert level experience with Primavera P6 administration including security profiles. - Highly advanced experience with EVMS and integration with costing databases. - Working knowledge of DOE nuclear safety basis implementation, including DSA/TSR compliance, surveillances, and configuration control. - Working knowledge of high-hazard work planning and control. - Experience in the development and implementation of T-Week Maintenance Schedule. Qualifications We Desire - Nuclear Facility Maintenance and/or Operations experience. - Experience with Computerized Maintenance Management System (CMMS). - Working knowledge of querying data from backend sources using commonly used methods (for example SQL, Power Query, APIs, or other database/reporting query interfaces) to research, analyze, and extract data for dashboards and business reports. - Demonstrated experience building clear, decision-oriented analytics and reporting (dashboards, metrics, scorecards, or executive summaries). - Solid Excel skills (pivot tables, lookups, data validation, charting) and comfort working with large datasets. - Experience defining metrics/KPIs, performing variance and trend analysis, and developing alerts for early risk identification. - Attention to data quality, consistency, and version control across recurring reports and updates. - Working knowledge of Microsoft Office Suite and Adobe (including creating, analyzing, and producing schedule reports). Pay Range $154,950 - $235,692 Annually $154,950 - $196,476 Annually for the TSS.3 level $185,850 - $235,692 Annually for the TSS.4 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information #LI-Hybrid Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? - Included in 2026 Best Places to Work by Glassdoor! - Flexible Benefits Package - 401(k) - Relocation Assistance - Education Reimbursement Program - Flexible schedules (*depending on project needs) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

About Parrot Analytics Parrot Analytics is the global authority on media and entertainment intelligence, providing the strategic decision support that the world’s leading studios, producers, streamers, investors, and government bodies rely on to de-risk content investment and maximize returns. Trusted across the full media economy — from studios and streaming platforms to film funds, sports leagues, and government bodies — Parrot Analytics informs capital allocation, acquisitions, programming strategy, and IP valuation at the highest levels of the industry. By measuring the demand and preferences of more than 2 billion audiences worldwide, Parrot Analytics’ AI platform quantifies the value of content, talent, franchises, and sports rights — enabling partners to forecast revenue, assess risk, optimize portfolio strategy, and drive more predictable success. About the Role The global entertainment industry invests hundreds of billions of dollars into film and television content every year. Yet investment decisions are still largely made using fragmented market signals, limited financial modelling, and incomplete audience insight. Parrot Analytics is building a new analytical layer for the industry — combining the world’s largest dataset on global audience demand with structured financial modelling to help studios, investors, and funds make more disciplined content investment decisions. We are seeking a Senior Investment Analyst to lead the development of financial models used to evaluate film and television projects. This role sits at the intersection of entertainment economics, investment analysis, and data science, translating audience demand signals, project budgets, and distribution assumptions into structured financial forecasts and investment insights. The successful candidate will play a key role in helping investors understand the risk and return profile of content investments before capital is committed. Build Investment Models for Film & Television Projects - Develop sophisticated financial models that evaluate the commercial performance of film and television projects across multiple distribution windows. - Models will incorporate production budgets and cost structures, financing structures and investor positions, distribution revenue streams across global markets and investor return scenarios and capital recovery timelines. - Revenue modelling will consider multiple distribution pathways including theatrical, SVOD, AVOD, FAST, Pay TV, and international licensing. - Leverage Parrot Analytics’ global dataset on audience demand and content valuation to inform revenue assumptions within financial models. - Develop structured approaches to translating audience demand signals and valuation into realistic commercial scenarios, benchmarking projects against comparable titles across genres, markets, and platforms. Quantify Investment Risk - Evaluate projects through structured scenario modelling that assesses downside risk and capital exposure, break-even performance thresholds and investor return scenarios under different market conditions - Conduct sensitivity analysis across key variables including budget changes, distribution outcomes, and shifts in audience demand. Support Investment Decision-Making - Produce financial analyses used by funds, studios, and investors evaluating content opportunities. - Translate complex financial models into clear insights that help decision-makers understand the economic implications of project budgets, distribution strategies, and market positioning. Develop Industry-Leading Modelling Frameworks - Help design the financial modelling frameworks used to evaluate film and television investments using Parrot Analytics’ data. - The goal is to build repeatable analytical tools that allow projects to be evaluated with institutional investment discipline, enabling more structured decision-making across the industry.

About Parrot Analytics Parrot Analytics is the global authority on media and entertainment intelligence, providing the strategic decision support that the world’s leading studios, producers, streamers, investors, and government bodies rely on to de-risk content investment and maximize returns. Trusted across the full media economy — from studios and streaming platforms to film funds, sports leagues, and government bodies — Parrot Analytics informs capital allocation, acquisitions, programming strategy, and IP valuation at the highest levels of the industry. By measuring the demand and preferences of more than 2 billion audiences worldwide, Parrot Analytics’ AI platform quantifies the value of content, talent, franchises, and sports rights — enabling partners to forecast revenue, assess risk, optimize portfolio strategy, and drive more predictable success. About the Role The global entertainment industry invests hundreds of billions of dollars into film and television content every year. Yet investment decisions are still largely made using fragmented market signals, limited financial modelling, and incomplete audience insight. Parrot Analytics is building a new analytical layer for the industry — combining the world’s largest dataset on global audience demand with structured financial modelling to help studios, investors, and funds make more disciplined content investment decisions. We are seeking a Senior Investment Analyst to lead the development of financial models used to evaluate film and television projects. This role sits at the intersection of entertainment economics, investment analysis, and data science, translating audience demand signals, project budgets, and distribution assumptions into structured financial forecasts and investment insights. The successful candidate will play a key role in helping investors understand the risk and return profile of content investments before capital is committed. Build Investment Models for Film & Television Projects - Develop sophisticated financial models that evaluate the commercial performance of film and television projects across multiple distribution windows. - Models will incorporate production budgets and cost structures, financing structures and investor positions, distribution revenue streams across global markets and investor return scenarios and capital recovery timelines. - Revenue modelling will consider multiple distribution pathways including theatrical, SVOD, AVOD, FAST, Pay TV, and international licensing. - Leverage Parrot Analytics’ global dataset on audience demand and content valuation to inform revenue assumptions within financial models. - Develop structured approaches to translating audience demand signals and valuation into realistic commercial scenarios, benchmarking projects against comparable titles across genres, markets, and platforms. Quantify Investment Risk - Evaluate projects through structured scenario modelling that assesses downside risk and capital exposure, break-even performance thresholds and investor return scenarios under different market conditions - Conduct sensitivity analysis across key variables including budget changes, distribution outcomes, and shifts in audience demand. Support Investment Decision-Making - Produce financial analyses used by funds, studios, and investors evaluating content opportunities. - Translate complex financial models into clear insights that help decision-makers understand the economic implications of project budgets, distribution strategies, and market positioning. Develop Industry-Leading Modelling Frameworks - Help design the financial modelling frameworks used to evaluate film and television investments using Parrot Analytics’ data. - The goal is to build repeatable analytical tools that allow projects to be evaluated with institutional investment discipline, enabling more structured decision-making across the industry.