AI Analytics (Business Intelligence) Summer Intern Overview: This role is for an AI & data focused intern who will partner with the Analytics team to analyze text data from our customer calls using AI. The results will be shared with Customer Success leadership and inform CS strategy on client retention. Project Scope: - Using AI, the intern will review existing Gong customer call data and build upon several early-stage models to determine whether existing clients will churn or renew - Ideally this analysis will inform a larger model to provide an early warning signal to CS about customers threatening to leave - Key stakeholders include the following teams: Analytics, Data Engineering, Customer Success and Sales Deliverables: This project changes rapidly as new info is found and implemented. Some potential tasks include: - Working with CS and data engineering to find data surrounding key customers we want to evaluate - Running models through Claude to determine which approaches produce the most predictive outcomes - Creating PowerPoints to summarize the results of the project for management - Suggesting changes to the process to improve and strengthen our existing models and data practices Learning objectives: - Tools to gain skills with: SQL, Excel, AI tools (Claude, ChatGPT) - Business exposure: CS, Analytics and Sales leadership - Professional Development: Role will partially own all development of models through the duration of their internship Skills & Qualifications - Background or coursework in data, analytics, math, computer science, business, or a related field - Interest in data analysis and AI applications - Familiarity with tools like Excel; SQL or similar is a plus - Experience or comfort using AI tools (e.g., Claude, ChatGPT) - Strong analytical and problem-solving skills - Clear communication skills for presenting insights - Curious, detail-oriented, and eager to learn Location/Time Zone Preference: United States - Pacific Time Zone preferred This is an hourly, remote summer internship for college students, offering up to 35 hours per week at a rate of $20 per hour. Pacvue’s internship program runs across two 9-week cohorts, and candidates may choose the option that best fits their schedule: Cohort 1 (May 18 – July 17) or Cohort 2 (June 15 – August 14). #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

The Manager of Data and Insights role is a unique blend of hands-on analytical work and strategic leadership. While serving as a leader who shapes and executes the data and analytics vision, this position also actively participates in the development and implementation of complex analytics solutions. In addition to overseeing and mentoring the Insights Analyst team, the Manager is directly involved in creating and deploying predictive models, benchmarking tools, scorecards, dashboards, and visualizations that drive business results and operational efficiency. This dual focus ensures that the Manager not only guides and empowers the team but also contributes personally to delivering high-impact, actionable solutions. By combining leadership with direct involvement in analytics and AI initiatives, the Manager is able to guarantee that these solutions are tightly aligned with operational needs, supporting Operations in making faster, smarter decisions and achieving measurable improvements in performance. ________________________________________ Key Responsibilities Strategic Leadership • Actively participate in the execution of the enterprise data strategy, ensuring analytics projects directly support business objectives and operational priorities. • Lead by example while managing and developing the Insights Analyst team—providing hands-on guidance, mentorship, and fostering professional growth through direct involvement in project work. • Personally contribute to the creation and delivery of high-quality analytics outputs, such as complex reports, dashboards, benchmarking tools, predictive models, and data mining initiatives, ensuring accuracy and relevance. • Continuously monitor and adopt emerging market trends, technologies, and best practices in analytics and visualization, implementing innovative solutions that position the organization as an industry leader. • Serve as a hands-on strategic partner to Operations by translating business needs into actionable data-driven strategies and solutions, and ensuring end-to-end project involvement from concept to deployment. • Lead and directly engage in requirements gathering and stakeholder consultations—especially with Operations—to guarantee that deliverables exceed expectations and drive measurable operational value. Enablement, Innovation & Automation • Lead the identification, mentoring, and support of data champions across departments and functions, ensuring collaboration between Operations, Technology, and Business. • Champion the use of AI, machine learning, robotic process automation (RPA), and intelligent systems cross-functionally to streamline workflows and drive innovation. • Evaluate and implement modern analytics and AI platforms, in partnership with stakeholders, to enhance the end-user experience and operational agility. • Foster a culture of data literacy and enablement through training, workshops, and ongoing support, engaging both Operations and Business team to ensure adoption and impact across the organization. Analytics Delivery & Data Governance • Oversee the design, development, and deployment of advanced analytics solutions, ensuring accuracy, consistency, and compliance. • Ensure data quality, consistency, and compliance across all analytics and automation initiatives. Program & Project Management • Lead strategic initiatives to enhance physical security and business operations through data and AI, with a focus on operational impact. • Drive awareness and facilitate knowledge sharing by guiding BI’s transformation and rebranding efforts. • Coordinate with field and shared service partners to secure resources and deliver projects that solve real operational challenges. • Manage initiative timelines, budgets, risks, and outcomes, ensuring alignment with organizational and operational objectives. Stakeholder Engagement & Communication • Serve as a key liaison between business units, Operations, and technical teams, translating complex analytics and AI concepts into actionable business insights. • Proactively manage communications to foster partnership and trust in the Data Strategy and Insights team. • Present findings and recommendations to leadership and stakeholders in formal and informal settings, with a focus on operational outcomes. ________________________________________ Qualifications • Proven experience in data strategy, analytics leadership, and AI implementation. • Demonstrated success in managing cross-functional teams and delivering complex, innovative projects. • Strong background in business intelligence, data science, and intelligent automation. • Exceptional communication, stakeholder engagement, and change management skills. • Experience with reporting, dashboards, visualization tools, and analytical/modeling software (SQL, ETL, APIs a plus). • Strategic and critical thinking skills, with the ability to translate technical advancements into business impact—especially for Operations. • Ability to multitask, manage multiple projects, and thrive in a dynamic, evolving environment. “Securitas is committed to diversity, equity, inclusion and belonging in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable legally protected characteristic.” Securitas employees come from all walks of life, bringing with them a variety of distinctive skills and perspectives. United through our common purpose, we provide the security needed to safeguard our clients' assets and people. Our core values - Integrity, Vigilance and Helpfulness - are represented by the three red dots in the Securitas logo. If you live by these values, we’re looking for you to join the Securitas team. Benefits include: - Retirement plan - Employer-provided medical and dental coverage - Company-paid life insurance - Voluntary life and disability insurance - Employee assistance plan - Securitas Saves discount program - Paid holidays - Paid time away from work Additionally, some populations may have the availability of accessing earned wages on a daily basis, prior to payday. Restrictions and fees may apply. Certain waiting periods may also apply. Paid time away from work may be available either through a combination of vacation and sick time or under a PTO policy, depending on local requirements. Benefits may be different for union members. Our Company Mission: Securitas’ mission is to protect homes, workplaces, and communities by providing the security services they need to protect their assets, safeguard their people, and maintain their ability to generate profits. Our Values: Securitas’ core values - Integrity, Vigilance and Helpfulness - are the foundation for our employees to build trust with customers, colleagues, and the surrounding community. Integrity: Securitas employees are honest and trusted by customers to safeguard their premises and valuables. We don’t compromise on integrity and create an open forum for our employees and customers to voice opinions, report improprieties, and share information. Vigilance: Seeing, hearing, and evaluating. A Securitas employee is always attentive and often notices things that others don’t. Their vigilance is necessary in order to be aware of potential risks or incidents that may take place on our customers’ premises. Helpfulness: As part of an on-going effort to ensure safety, Securitas employees are always ready to help if an incident occurs that requires intervention regardless of whether or not it is directly related to their job.

Location: New York, NY | Remote, USA Employment Type: Full-time, Hourly (Summer) Who We Are Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need. With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care. Job Summary Impiricus is seeking a Data Analyst Intern to support campaign performance analysis and reporting. This role partners with Client Services and Engineering to analyze data, validate audiences, and deliver clear, actionable insights through reports and visual summaries. Ideal for a detail-oriented student in a quantitative field looking to gain hands-on experience in a fast-paced, collaborative environment. Duties / Responsibilities: - Analyze marketing campaign performance data and help track key metrics. - Support list match validation and audience performance analysis. - Build Excel- or spreadsheet-based reports and visual summaries for internal stakeholders. - Work with Client Services and Engineering teams to support data requests and cross-team projects. - Translate data findings into clear, actionable insights and recommendations. - Help develop repeatable templates and processes for ongoing analytics needs. Experience: - Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Business Analytics, or a related STEM field. - Strong proficiency in Excel or Google Sheets. - Curious, analytical, and detail-oriented with strong problem-solving skills. - Able to communicate insights through presentations, slides, or written summaries, translating complex data into clear and intuitive takeaways for internal teams and clients. - Able to manage time effectively and work independently in a fast-paced environment. Nice to Have: - Experience with SQL or data visualization tools. - Exposure to marketing, campaign, or performance data. - Interest in or familiarity with the healthcare or biopharma industry. Compensation: This is a paid internship with an hourly rate of $25, with interns working up to 40 hours per week. The program runs for 8 weeks and will be offered in two cohorts. Candidates may participate in the cohort that best aligns with their summer schedule. Cohort 1: June 15, 2026 through August 7, 2026 Cohort 2: July 6, 2026 through August 28, 2026 Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Role Purpose Integrated Supply Chain organization is seeking a dedicated Data Analyst to support the Supplier Quality Engineering (SQE) function. This role will focus on supplier quality digitization, analytics, and visualization, enabling data‑driven decision‑making across SQE leadership and stakeholders. The Data Analyst will work closely with the Supplier Quality Engineering organization and existing digitization teams to understand current workflows, automate data pipelines, and deliver interactive dashboards and ad‑hoc insights that improve supplier quality performance, risk visibility, and operational effectiveness. Key Responsibilities 1. Dashboard & Analytics Development - Build and maintain visual dashboards that provide clear, actionable insights into supplier quality performance, risks, trends, and corrective action effectiveness. - Translate complex, multi‑source datasets into intuitive, decision‑ready visualizations for SQE leadership and stakeholders. 2. Digitization & Workflow Alignment - Work closely with the current SQE digitization team to understand existing data flows, reporting workflows, and analytics requirements. - Align new analytics solutions with established SQE processes, standards, and governance models. 3. Data Pipelines & Automation - Develop, maintain, and automate data pipelines and workflows for Supplier Quality Engineering using Alteryx (or equivalent ETL tools). - Ensure data accuracy, repeatability, scalability, and timely refresh of SQE analytics. - Document data flows, transformations, and KPI definitions to support standardization and continuity. 4. Interactive Visualization & Reporting - Design, build, and maintain interactive dashboards using Tableau, Power BI, React‑based dashboards, or equivalent tools. - Create analytics that support supplier quality decision‑making, including performance monitoring, risk identification, and continuous improvement initiatives. - Optimize dashboards for usability, performance, and stakeholder adoption. 5. Ad‑hoc Analysis & Executive Support - Perform ad‑hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews. - Present findings, trends, and insights to SQE stakeholders and leadership in a clear, concise, and business‑focused manner. - Support governance reviews, operational reviews, and continuous improvement discussions with data‑backed insights. Required Qualifications & Experience - Bachelor’s degree in Data Science, Statistics, Engineering, or a related field. - Hands‑on experience with Alteryx or comparable ETL/data preparation tools for workflow automation and analytics enablement. - Experience with data visualization tools such as Tableau and/or Power BI (experience with React‑based dashboards is a plus). - Strong proficiency in SQL for data extraction, transformation, and analysis. - Experience working with large, complex datasets from multiple systems. - Strong problem‑solving, communication, and stakeholder management skills, with the ability to translate data into meaningful business insights. Preferred Experience (Nice to Have) - Experience supporting Supplier Quality, Manufacturing Quality, or Supply Chain organizations. - Familiarity with quality metrics, corrective actions, audits, and supplier performance management. - Experience in aerospace, industrial, or regulated manufacturing environments. - Exposure to ERP and quality management systems