At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities. The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled. This is a remote, home-based internship. Full time students from all US geographies will be considered. Our 2026 Summer internship program is an 8-week Paid Internship that runs from June 1st – July 24th, at 37.5 hours weekly. The program will join interns across the country who are supporting different department focuses on American Cancer Society and ACS's Cancer Action Network. 85% of the time will be in working within the given department, with the Intern's manager, their mentor, and the team. The other 15% will be with a cohort of other interns around American Cancer Society and ACS CAN. This internship will support the People Team as we continue building and scaling our workforce analytics capabilities. The intern will gain hands-on experience working with people data and learning how workforce insights inform talent strategy, organizational decisions, and People Team priorities. During the summer, the intern will contribute to the implementation of our One Model people analytics platform while supporting foundational data quality and data governance efforts. This includes reviewing, cleaning, validating, and organizing people data across systems to ensure it is accurate, consistent, and ready to support reporting and analysis. The intern will also assist with documentation, basic reporting, and exploratory analysis while partnering with members of the People Team across areas such as talent management and people operations. Through this work, the intern will gain exposure to how organizations use people data to better understand talent trends, workforce dynamics, and opportunities to improve the employee experience. This role is ideal for someone interested in people analytics, HR strategy, or business analytics who enjoys working with data while collaborating across teams to translate insights into meaningful outcomes. Skills & Qualifications: - Currently pursuing a degree in Human Resources, Business Analytics, Information Systems, Data Analytics, Economics, or a related field - Strong attention to detail and comfort working with structured data - Experience with Excel (sorting, filtering, pivot tables, basic formulas) - Ability to follow defined processes and clearly document work - Strong organizational and time-management skills - Curiosity and interest in understanding how data supports business and people decisions - Ability to communicate insights and questions clearly in both written and verbal formats - Comfort working with confidential information and maintaining data privacy Nice to Have (but not required): - Exposure to HR systems (HRIS) or people analytics tools - Experience working with datasets or performing basic analysis in coursework or projects - Familiarity with data validation, data cleanup, or data quality practices - Interest in people analytics, talent strategy, or workforce planning NOTE: This role sits at the intersection of data and people strategy. Success in this role requires both a strong analytical mindset and the communication skills needed to collaborate effectively within an HR environment. We’re looking for an intern who is curious, thoughtful, and excited to learn how organizations use people data to inform talent and workforce decisions. Position Requirements: - Must be available for entirety of 8-week program: June 1st – July 24th, 2026, at 37.5 hours per week. - Full-time student, if you are an undergraduate student, you have completed your freshman year of college. - Have a minimum of a B average (cumulative 3.0 on 4.0 scale). - Plan to continue your education in the following term/semester. - Upload a resume upon application submission. - Note: an internship assignment may coincide with your last term/trimester as a full-time student, but the internship must be disengaged upon graduation. The hourly rate is $16/hour. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education. ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.

Summary This role will be responsible for supporting the quality and food safety needs of the global business. This position, as part of the Quality Department, will lead in the collection, analysis and interpretation of complex data from a variety of data management sources (e.g., databases, Application Program Interfaces/APIs, etc.), in support of each Business Unit (Chobani, La Colombe, Daily Harvest), to help the Corporate and Site Quality Teams to monitor products/processes, seek out hidden insights/patterns/trends in data and improve operational processes. This role will lead in creating machine-learning models, visualizing results and reporting key learnings to stakeholders in order to not only assist in root cause analyses but also make informed decisions on how to prevent product and process non-conformances and to preserve and protect product quality and food safety. This role combines data analysis with food science expertise to drive innovation and efficiency in business. This role will preferably sit in Twin Falls, Idaho, but we are open to remote candidates who can frequently travel to Twin Falls, Idaho. Responsibilities • Collaborate with data owners to improve data management processes. • Collect data through means such as analyzing business results or by setting up and managing new studies • Employ statistical and machine learning methods to analyze and evaluate data to uncover insights that measure product and process performance and inform business decisions. • Create and update dashboards and reports to monitor Key Performance Indicators (KPIs) and update stakeholders on progress and performance. • Search through large data sets to extract data insights and trends related to food products, manufacturing processes, and consumer behavior. • Correlate similar data to find actionable results and provide insights to Global and Regional Quality groups. • Collaborate with IT Business Intelligence Team to seek out and develop tools/programming to automate data collection. Create forecasting and optimization models that can be used for predictive analytics. • Lead in shaping the digital Quality & Food Safety strategy (e.g., Supply Chain data analytics/predictive quality, data access, data cleansing, systems harmonization). Requirements • Bachelor's or (optional) Master's degree in a quantitative subject such as statistics, computer science, mathematics, physics, or engineering. • Minimum of 3-5 years’ experience in data analytics (NOTE: Prior experience in food industry preferred). • Well-versed in a variety of statistical methods, such as hypothesis testing, time series analysis, and regression analysis. • Fluent in programming languages. Working knowledge of libraries for manipulating data is also required. • Experience with data management tools (e.g., SQL), visualization tools (e.g., Power BI), and AI. • Knowledge of database management systems, data warehousing, and Extract-Transform-Load (ETL) techniques. • Knowledge and understanding of systems and application knowledge, such as SAP, Microsoft Office (including SharePoint), LIMS, etc. • Knowledge of business strategy and how data can be used to drive decision-making. • Excellent problem-solving skills and the ability to work with large data sets. • Ability to visualize data in the most effective way for a given project or study. • Strong communication skills to convey complex data in a simple/non-technical, actionable way. • Exceptional technical writing skills • Highly organized with the ability to manage multiple priorities/projects and deliver within deadlines. • Ability to work independently and with team members from different departments/functions to create and implement solutions informed by data. • Excellent attention to detail. • Dedicated to keeping pace with the ever-evolving technologies and techniques used in the industry. • Conduct data-related tasks in accordance with applicable laws and ethical principles. About Us Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people, while elevating our communities and making the world a healthier place. In short: making good food for all. In support of this mission, Chobani is a purpose-driven, people-first, food-and-wellness-focused company, and has been since its founding in 2005 by Hamdi Ulukaya, an immigrant to the U.S. The Company manufactures yogurt, oat milk, and creamers – Chobani yogurt is America's No.1 yogurt brand, made with natural ingredients without artificial preservatives. Following the 2023 acquisition of La Colombe, a leading coffee roaster with a shared commitment to quality, craftmanship and impact, the Company began selling cold-pressed espresso and lattes on tap at cafés nationwide, as well as Ready to Drink (RTD) coffee beverages at retail. In 2025, Chobani acquired Daily Harvest, a modern brand offering consumers nutritious, delicious and convenient ready-to-make meals.   Chobani uses food as a force for good in the world – putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products in New York, Idaho, Michigan and Australia, and its products are available throughout North America and distributed in Australia and other select markets.  For more information, please visit  www.chobani.com or follow us on Facebook, Twitter, Instagram and LinkedIn.  Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $63,000.00 - $94,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Role Description This role provides the opportunity to drive insights across the full customer lifecycle, from acquisition to retention, engagement, and churn. You will analyze complex datasets to uncover trends, identify opportunities, and provide actionable recommendations that influence business strategy. Working closely with cross-functional teams in Retention, Loyalty, Product, and Data, you will translate raw data into dashboards, reports, and stories that support decision-making. The position emphasizes both technical expertise and strategic thinking, offering a collaborative, fast-paced environment where your analyses directly impact customer experience and business growth. You will be central to shaping analytics best practices and guiding the organization toward data-informed decisions. - Lead customer analytics across key lifecycle metrics, including acquisition, retention, churn, engagement, and lifetime value. - Develop, maintain, and optimize complex SQL queries in Snowflake or similar data environments for recurring reporting and ad hoc analysis. - Build and maintain standardized datasets, metrics, and reporting frameworks to ensure consistency and reliability across teams. - Partner with Retention, Loyalty, and Product teams to define analytical requirements and answer strategic business questions. - Analyze customer behaviors, cohort performance, and subscription dynamics to surface actionable insights and growth opportunities. - Support experimentation by defining success metrics, creating measurement frameworks, and analyzing test results. - Produce executive-ready dashboards, summaries, and readouts that clearly communicate insights and recommendations. - Ensure data quality and accuracy through rigorous validation, documentation, and ongoing quality assurance processes. Qualifications - 4–6+ years of experience in data analytics, customer analytics, or business intelligence, preferably in eCommerce or subscription-based businesses. - Advanced SQL skills with experience querying large, complex datasets. - Proven ability to analyze customer, subscription, or lifecycle data and translate insights into clear recommendations for non-technical stakeholders. - Experience with metrics such as retention, churn, lifetime value, cohort analysis, and engagement. - High attention to detail and strong ownership of data accuracy, reporting quality, and process documentation. - Excellent communication and stakeholder management skills in fast-paced, cross-functional environments. - Preferred: experience in subscription, DTC, healthcare/wellness businesses, lifecycle marketing, CRM, CDPs, or marketing analytics platforms. - Nice to have: proficiency with dashboarding tools such as Looker or Tableau, and experience mentoring junior analysts. Benefits - Base salary range: $95,000 – $105,000 USD. - Fully remote work environment. - Comprehensive medical, dental, and vision coverage, including FSA programs. - 401(k) plan with employer match. - Quarterly bonus program. - Flexible paid time off. - Company-wide wellness breaks and wellness program, including virtual sessions and Headspace membership. - Monthly stipends for internet, cell phone, and wellness. - Annual learning & development stipend. - Free Nutrafol subscription and free lunches twice per week. - Pet insurance discounts and benefits. Company Description

Role Description Perform data exploration, cleaning, preprocessing, and visualization using Python. - Develop and evaluate baseline machine learning models (e.g., classification/regression) using scikit-learn when applicable. - Query, validate, and summarize datasets using SQL (SELECT, JOIN, GROUP BY). - Produce clear documentation and communicate progress, findings, and tradeoffs. - Deliver reproducible project outputs (e.g., notebook/app + documentation) and present results to stakeholders. - Work responsibly with sensitive healthcare data and follow privacy/security guidelines. Qualifications - Streamlit or dashboard development experience preferred. - Version control fundamentals using Git/GitHub preferred. - Proficiency in Python for data analysis (e.g., Pandas, NumPy, Matplotlib). - Comfortable writing and debugging Python scripts and working in Jupyter Notebooks (or similar). - Basic understanding of statistics (mean/median, standard deviation, distributions). - Basic understanding of LLMs and prompt engineering, including generation, common limitations (bias/hallucination), and practical prompt-design techniques. - Familiarity with basic SQL querying and aggregations. - Strong communication skills, curiosity, and ability to work independently with mentorship. Benefits - Superior health plan options. - Dental, Vision, HSA/FSA, Life and AD&D coverage, and more. - Top Tier 401(k) retirement savings plans that offers a $1.20 match for every dollar up to 6% plus discretionary profit-sharing contributions (eligible January following 18 months of service). - Generous paid time off starting 3-4 weeks’ annually. - Student Loan Refinancing Discounts. - Professional and Career Development Program. - EAP and travel assistance included. - Wellness program. - Purpose-driven culture focused on improving the lives of our patients, communities, and employees.