Vast is seeking a Business & Supply Chain Intern to support daily supply chain operations and business planning activities across the organization. This internship offers hands-on experience in demand planning, supply chain analytics, and cross-functional business operations within a fast-paced aerospace environment. Interns will work closely with Supply Chain, Engineering, Operations, and Finance teams on real projects that directly impact program execution.

This is a 12-week full-time internship at our office in Long Beach, CA.

Key Responsibilities

• Support daily supply chain operations, including procurement, logistics coordination, inventory management, and demand planning activities.
• Assist with demand forecasting, material requirements planning (MRP), and supply-demand balancing to support production and build schedules.
• Help maintain and analyze demand signals, Bill of Material changes, lead times, propose safety stock values, and inventory levels across programs.
• Compile, analyze, and visualize supply chain and business data to support operational and planning decisions.
• Support cross-functional initiatives to improve forecast accuracy, material availability, and overall supply chain performance.
• Assist with documentation of supply chain processes, KPIs, assumptions, and planning methodologies.
• Participate in continuous improvement efforts focused on data accuracy, workflow efficiency, and scalability.

Minimum Qualifications

• Currently enrolled in a Bachelor’s or Master’s degree program in Business, Supply Chain Management, Operations, Industrial Engineering, Analytics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and basic data analysis techniques.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Ability to work full-time onsite in Long Beach, CA.

Preferred Qualifications

• Prior internship, project, or coursework experience in supply chain, demand planning, business operations, or business analytics.
• Experience with data and analysis tools such as:
• Advanced Excel (pivot tables, lookups; macros/VBA a plus)
• SQL for querying and analyzing datasets
• Data visualization tools such as Tableau, Power BI, or similar
• Familiarity with forecasting, inventory management, or capacity planning concepts.
• Exposure to ERP, MRP, or planning systems (e.g., SAP, NetSuite, Oracle, or similar).
• Ability to translate data into clear insights and actionable recommendations for technical and non-technical stakeholders.
• Interest in aerospace, manufacturing, or high-growth technology environments.

Pay Range: 

• Undergraduate: $35/hr
• Master's: $40/hr

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Senior Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 6+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 2+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

ABOUT THE TEAM

Anduril’s Digital Manufacturing team is seeking a Lead Manufacturing Engineer, Analytics to join our team. The Digital Manufacturing team plays a pivotal role in optimizing manufacturing operations through the implementation and management and advanced digital solutions. The team ensures that manufacturing processes are efficient, scalable, and integrated with the latest industry standards.

ABOUT THE ROLE

As a Lead Manufacturing Engineer, Analytics you will lead a small team of engineers and develop analytical solutions that support day-to-day decision-making for the product lines, functions, and new products under development. The right person for this role has strong technical and analytical skills that can be applied and implemented in a real-world environment to drive outcomes for the business.

WHAT YOU’LL DO

• Lead and guide a small team of Manufacturing Engineers, Analytics as they develop new solutions and maintain / improve existing solutions.
• Engage with relevant manufacturing and cross-functional stakeholders to ensure your team’s success.
• Work with manufacturing leadership to develop and implement manufacturing solutions leveraging analytics that enhance productivity, reduce costs, and improve quality.
• Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilization, to identify areas for improvement.
• Collaborate with cross-functional teams to ensure alignment of efforts with overall business objectives.
• Monitor industry trends and best practices to keep our manufacturing processes at and analytical tools the cutting edge.
• Create and maintain comprehensive documentation of analytical solutions strategies for continuous improvement.
• Lead and facilitate kaizen, lean manufacturing, or six sigma initiatives to optimize production processes.
• Provide strategic input into capacity planning and workforce management to ensure scalability of operations.
• Implement and refine manufacturing KPIs to measure performance and drive accountability.
• Support new product development from a manufacturing perspective, ensuring manufacturability and cost-effectiveness.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master’s degree preferred (either MBA or MS of Engineering).
• Experience and expertise developing insights and solutions using data visualization tools: SQL, Python, Typescript, Tableau, PowerBI, PLTR Foundry, MS VBA, etc...
• 8+ years of experience in a manufacturing strategy or analysis role, with a track record of tangible insights and their implementations that drove results.
• 2+ years of experience in directly managing a team or experience in complex, cross-functional project management
• Ability to quickly understand new operations and potential issues on the product line and can speak the language.
• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
• Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements
• Familiarity with manufacturing software and advanced proficiency in statistical analysis and data presentation tools.
• Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.
• Experience with lean manufacturing principles and process improvement methodologies such as Six Sigma.
• Ability to work collaboratively in a team environment and lead cross-functional projects.
• Adept at managing multiple priorities in a fast-paced manufacturing environment.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

About the role

We are seeking a People Data Analyst to deliver actionable workforce insights and support strategic decision-making across the People team and the broader business. This role will focus on collecting, consolidating, analyzing, and reporting on data related to employee engagement, retention, organizational effectiveness, and talent development. The position is ideal for candidates experienced in leveraging data to drive business process improvements and strategic outcomes.

At Applied Intuition, you will:

• Develop and manage analytical models and dashboards to report on recruitment, engagement, retention, and other workforce metrics
• Present data-driven recommendations to support leadership decisions on People programs and policies
• Design reporting solutions and build workflow automations that address business challenges and opportunities by collaborating with HR, Finance, Legal and Operations partners
• Implement data cleaning, normalization, and validation processes to ensure reporting accuracy and integrity
• Create presentations and reports for executives, managers, and staff, translating complex analyses into practical insights
• Act as a key point of contact for internal and external auditors during audits, providing necessary documentation, explanations, and evidence for HR-related controls.
• Handle sensitive employee data in alignment with company privacy and compliance standards

We’re looking for someone who has:

• Bachelor’s degree in a quantitative field (Statistics, Data Science, Business Analytics, Finance, Computer Science, Economics, Math) or related discipline
• 3+ years building data models and dashboards in a people / talent analytics, compensation, finance, business operations or similar business analytics environment
• Proficiency in Google Sheets / Excel, Google Scripts / VBA, Qualtrics or related dashboard tools
• High attention to detail and data integrity
• Strong storytelling and presentation skills using data visualizations
• Strong communication skills and the ability to collaborate cross-functionally with stakeholders at all organizational levels

Nice to have

• Prior work in high-growth technology or software organizations
• Experience managing or integrating data across multiple HR platforms
• Familiarity with data privacy, workforce compliance, and reporting regulatory requirements

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $107,000 USD to $161,000 USD annually.

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

· Be Extraordinary by Leading Collectively to Inspire transformational Creativity.

· Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.

· Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

ABOUT THE ROLE: 

The Data Operations manager is responsible for managing the development and maintenance of business intelligence and data quality compliance tools. You must also be comfortable with acting as the subject matter expert in the tools and processes you manage, along with being able to gather knowledge from other SMEs and requirements from key stakeholders. In this role, you will also manage the creation of project plans, prioritization of tasks, and hold all responsible parties to deadlines and deliverables. The Data Operations manager is expected to facilitate the progression of projects through status meetings and act as the intermediary between project teams. You will report to the Associate Director or Director and will provide overviews of project status, progression and roadblocks. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary.                                                                                        

YOUR IMPACT: 

Business Analysis/Project Management 

• Analyze data and consult with subject matter experts to design and develop business requirements for various tools and processes; Create, gather and write Business and Technical Requirements Documents 

• Act as the subject matter expert for questions/projects relating to data quality, BI tools, business rules; Ensure that best practices are being followed amongst all projects 

• Must familiarize themselves with the full campaign implementation workflow across all functional teams, including campaign set up, launch, testing, reporting and reconciliation 

• Create and manage project timelines and tasks in project management tools; manage the allocation of resources and effort across projects 

• Facilitate communication and progression of tasks through regular status meetings and working sessions; proactively elevate and resolve project roadblocks and issues 

Data Quality/Compliance 

• Manage the investigation and resolution of potential data issues existing within business intelligence tools 

• Proactively identify, propose and generate targeted solutions for data quality issues and operational inefficiencies; must collaborate with cross-functional teams to devise solutions and training plans 

• Track the progress and resolution of data issues, elevating any critical issues to upper management 

• Supervise Senior Associates and Associates to perform data quality assurance and data processing tasks 

Overall 

• Effectively keep track of and manage a high volume of tasks across multiple stakeholders and projects 

• Builds positive relationships with internal teams; effectively communicate roles, responsibilities and expectations 

• Builds positive relationships with vendors and partners 

YOUR QUALIFICATIONS: 

• Bachelors or advanced degree in Statistics, Economics, Business, Math, Computer Science, or Sciences is preferred 

• Minimum 3 years’ experience in data governance processes in a data warehousing, ETL and business intelligence environment 

• 3 years’ experience in media; digital Investment, analytics, or ad operations is preferred 

• 1-2 years’ experience in business analysis 

• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.); Experience in handling diverse datasets (paid media, owned, etc.) 

• Strong familiarity with relational database management systems; Experience with SQL, Microsoft Azure a plus 

• Familiarity with project/product management tools like Smartsheets, Azure DevOps/VSTS 

• Familiarity with business intelligence tools such as Tableau, PowerBI, Datorama, DOMO, Looker, GDS 

• Experience with advertising campaign management/buying platforms such as Sizmek, DCM, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics 

• Advanced excel data manipulation skills required; VBA/macros is a plus 

• Familiarity with programming languages/development tools a plus: Python, R, JavaScript, GitHub, etc.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

For Mexico:

This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

For Colombia:

This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

Summary:

Vaxcyte has an exciting opportunity for a Senior Manager, Quality Control Data Analyst to join our QC organization to act as a bridge between our technical QC Operations team and Business teams.  This individual will be responsible for the collection, evaluation, interpretation, and visualization of complex datasets to provide actionable insights that drive technical and business decisions. Key responsibilities include creating reports, maintaining databases, and using tools to identify trends, initiate quality events if needed, improve efficiency, and support definition of acceptance criteria as well as strategic planning.

Essential Functions:

• Work closely with the analytical sub teams and other functions within Analytics, Process Development, Quality Assurance, Operations, and Regulatory functions.
• Accountable for data integrity, accuracy, and reliability as well as that datasets are assessed in a timely manner and meet quality and regulatory standards to ensure secure and uninterrupted supply of Vaxcyte’s innovative therapies.
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks.
• Evaluate internal systems for efficiency, problems, and inaccuracies with regard to data collection and evaluation, and develop and maintain processes and SOPs for handling, evaluation, and visualization of complex data sets.
• Lead activities in QC Operations with regards the data warehousing and data mining programs underway (VaxData).
• Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
• Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets.
• Implement, and maintain robust quality control systems that encompass data mining, analysis, and visualization
• Follow prescribed systems for data management, including secure storage, retrieval, and retention of QC data and documentation are in place. Ensure that all testing activities are well-documented and comply with Good Documentation Practices (GDP).
• In partnership with the analytical subteams and analytical science and technology, oversee data collection, evaluation and visualization for in-process and release data in order to support monitoring the analytical control strategy and related acceptance criteria.
• Identify trends to initiate quality events and respective investigations through analysis of complex datasets.
• Review and approval of analytical data, test reports, and certificates of analysis (CoAs) generated by contract laboratories to verify accuracy, completeness, and compliance with specifications for both in-process and release testing.
• Act as point of contact with IT for QC operations.
• Support investigations and deviations, out-of-specification (OOS), out-of-trend (OOT), out-of-expectation (OOE) results, laboratory incidents, and customer complaints collaborating with internal stakeholders to implement corrective and preventive actions (CAPAs) as a data Subject Matter Expert.
• Writing, review and approval of documents related to Quality Control, Computer System Validation, and GAMP5 to ensure compliance with applicable regulatory and industry standards.
• Work directly with managers and users to gather requirements, provide status updates, and build relationships.

Requirements: 

Bachelor’s degree (or equivalent) in biology, biochemistry or other related science with 8+ years of experience in biotechnology/pharmaceutical industry and 3+ years of experience as data analyst in data science/statistics. Other combinations of education and/or experience may be considered.

• Proven analytics skills, including mining, evaluation, and visualization.
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Expert level knowledge of the standard MS suite of programs (Excel, Word, VBA, Teams, Access).
• Strong SQL, with aptitude for learning other analytics tools.
• Experience with database and model design and segmentation techniques.
• Practical experience in statistical analysis through the use of statistical packages SPSS, and SAS.
• Comprehensive knowledge in cGDP and experience in multi-national regulations.
• Strong analytical and problem-solving abilities, with a focus on data-driven decision-making and continuous improvement.
• Experience in Quality Control, especially late stage or commercial.
• Proven success in a collaborative, team-oriented environment.
• Relentless focus and passion around process improvements (efficiency and automation).