Data analyst internship jobs in Boston, MA

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities * Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. * Work with data warehousing solutions such as Redshift or Snowflake. * Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. * Write and modify scripts in Python or R for data manipulation and analysis. * Collaborate with cross-functional teams to understand data infrastructure needs and best practices. * Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications * Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Proven academic or project experience in data analysis and modeling. Skills & Qualifications * Basic knowledge of SQL and relational/non-relational databases. * Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. * Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. * Interest in ETL processes, scalable data pipelines, and data architecture. * Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

The Opportunity At Pearl Health, data is central to improving how providers deliver care-and you'll be the one turning it into action. As a Staff Data Analyst, you'll bridge strategy and execution, transforming complex data into insights that shape clinical outcomes and drive our business forward. This is your chance to lead analytical initiatives that directly impact the future of value-based healthcare, while mentoring teammates and influencing how Pearl uses data at scale. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What You'll Do In this role, you'll own the connection between our data assets and business impact, translating strategic needs into analytical solutions that inform decisions across the organization. You'll collaborate closely with cross-functional partners while setting the standard for data excellence. * Partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions. * Build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making. * Collaborate with Data Engineering to design and build data marts and pipelines in Snowflake & dbt that directly serve stakeholder needs. * Translate complex business challenges into analytical frameworks, leveraging statistical modeling (e.g. regression analysis) to provide actionable recommendations and influence key decisions. * Manage a prioritized backlog of requests, balancing competing stakeholder needs with business impact. * Contribute to the company's analytics strategy and roadmap, identifying opportunities with a 1-2 year horizon. * Mentor analysts across the team, sharing best practices in analysis, stakeholder engagement, and data storytelling. * Help establish standards and workflows for data analysis, reporting, and dashboard development. What You'll Bring We're looking for someone who combines deep technical expertise with the ability to translate data into business value. The right person will thrive in an environment where data is both a craft and a strategic lever. Must-haves: * 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement. * Direct experience working with medical claims data or performing any type of medical economics analysis is highly preferred. * Expert-level SQL and Python skills for data manipulation, analysis, and modeling. * Proven success turning business needs into end-to-end data solutions, ideally with Snowflake and dbt. * Strong track record collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively. * Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions. * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Nice-to-haves: * Familiarity with AWS cloud architectures and modern data stack tools. * Background working in a fast-paced startup environment. * Experience designing and maintaining conceptual or functional data marts. This role might not be for you if: * You prefer a highly structured, top-down corporate environment. * You'd rather work on individual analyses than partner closely with stakeholders across the business. * You are looking for a role focused solely on data engineering or data science, rather than stakeholder-facing analytics. * You're uncomfortable managing ambiguity and shifting priorities in a growing company. Our Values Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. ️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care - and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: * Base Salary Range: $160,000 - $200,000 * Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. * Benefits: We offer a competitive benefits package. More on our careers page. Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: * Recruiter Screen: An intro call to discuss your background and motivations. * Technical Exercise: A take-home or live assessment meant to evaluate relevant technical skills. * Hiring Manager Interview: A deeper-dive conversation with your potential manager. * Panel Interview: A round of meetings with teammates and cross-functional partners. * Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge. * Executive Interview: Final conversation(s) with 1-2 of our leaders.

Program Dates: June 1, 2026 - August 7, 2026 The base salary for this role is $5,200 per bi-weekly pay period This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday) Who We Are: The Machine Learning team develops core algorithmic systems for the business, with over 20 specialized sub-teams working on a wide range of projects including Search, Pricing, Personalization, and Supply Chain. Our program gives you the chance to address key business challenges with state-of-the-art solutions. You'll work with great mentors who will guide you from problem definition to production, with the potential to publish your work in top-tier venues. We collaborate with various stakeholders to build scalable ML solutions that drive revenue and enhance the customer experience. Our projects are driven by entrepreneurial individuals who take ownership of their work in a collaborative setting. Examples include developing models for customer preferences, optimizing profitability through demand forecasting, and creating solutions to detect duplicate products. Your work will directly impact the customer experience, with our in-house A/B testing platform allowing you to see the immediate effects of your algorithms on the company. What You'll Do: * Own the entire machine learning lifecycle, from initial idea to deployment and measuring business impact * Develop and scale cutting-edge machine learning models to solve core business problems * Create impactful algorithmic solutions that directly improve customer and supplier experiences * Uncover and act on key insights from vast datasets to provide tactical guidance and drive business value * Pilot new tools and techniques and contribute to potential scientific publications * Collaborate with a team of experts to build maintainable and scalable solutions What You'll Need: Basic Qualifications: * Currently enrolled in a PhD program in a quantitative field (Computer Science, Mathematics,, Engineering, Statistics/Biostatistics, Physics, Robotics, Operations Research, etc.) with the expectation that the degree will be obtained between December 2026 and August 2027 * Proficient knowledge of structured programming language(s) (e.g. Python) * Must be returning to the course of study following completion of the internship * Ability to commit to working 40 hours per week (9am-5pm, Monday-Friday) from June 1 - August 7, 2026 in our Boston office Preferred Qualifications: * Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc. * An affinity for data along with experience leveraging statistics and regression analysis * Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value * Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP * Familiarity with data structures, algorithms, OOP, and programming in a team environment * Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills * Strong comfort level and appetite to use AI in daily workflow * Ability to thrive in a dynamic environment where there can be degrees of ambiguity * Ability to effectively work with technical leads * Ability to synthesize conclusions for non-experts and desire to influence technical decision Why You'll Love Wayfair: Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: * A calendar of intern events including social networking, professional development and a leadership dialogue series * Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback * Skills-based training * Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair * Coffee chat opportunities for interns to get to know one another * Volunteer opportunities * Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems * Intern Appreciation Day celebration * Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data. At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company-one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes-along with numerous regional recognitions across our 11 offices nationwide. If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions. Responsibilities * Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports). * Assist in building dashboards and reports for project performance, cost tracking, and risk management. * Perform data analysis to identify trends, anomalies, and actionable insights. * Support the development of predictive models for project timelines and resource allocation. * Collaborate with project managers and operations teams to ensure data accuracy and usability. * Document processes and create user-friendly guides for data tools and dashboards. Qualifications * Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field. * Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus. * Basic knowledge of SQL and data querying. * Understanding of data cleaning and transformation techniques. * Excellent analytical and problem-solving skills. * Strong communication skills and ability to work in a team environment. Preferred Skills * Exposure to construction or project management data is a plus. * Experience with Python or R for data analysis. * Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.). EEO Information Shawmut prohibits discrimination against any staff member or applicant on the basis of race, color, sex, sexual orientation, gender identity/expression, age, religion, national origin, marital status, veteran status, pregnancy, physical or mental disability, genetic information, disability, creed, citizenship status, or any other legally protected characteristic. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to offer sponsorship. Salary Range Information Boston Base Salary Range: $22/hour - $25/hour. The range stated is specific to Boston. Placement within the listed range depends on many factors, including, but not limited to, years of experience, project size capability (for Construction & Field roles), and internal company equity.

About ConnectPrep: Our goal is to redefine “tutoring” - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Creative problem solving, strong math/quantitative skills, and attention to detail A background in Applied Mathematics, Statistics, or Computer Science Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students Experience with SQL, Pandas, or other fast analysis language Experience in data analysis or building pipeline tools in Python Some coding background and a strong interest in technology Advanced Excel skills (Advanced Formulas) Tables & Formatting Conditional Formatting Advanced Charting Pivot tables & Pivot Reporting VBA & Macros Using Excel Productively Data Tables, Simulations & Solver Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ***********************. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Junior Data analyst needs 1-5 years' experience (Admin experience, data entry, junior level analyst) Junior Data analyst requires: .Expert Excel skills .Expert skills in analysis of large data sets and application to deployment scheduling Very strong understanding of issue and risk management, especially including clear communication of issues and status Strong written and verbal communication skills Junior Data analyst duties: Perform complex and routine adhoc analysis in Excel Provide support for business and IT end users Provide support for customers via telephone operator Perform data entry tasks Strong understanding of Microsoft office skills Strong organizational skills Strong communication skills Team oriented and willing to work well with all levels in the organization ]Perform detailed tasks and document thoroughly

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Intern, you'll join a team tackling some of the most meaningful and complex challenges in the business. Working alongside experienced Machine Learning and Data Science engineers, you'll help build systems that power critical features like recommendation engines, fraud detection, and marketing optimization. You'll play a hands-on role in delivering high-impact solutions that shape the experience of millions of customers. What You'll Do Work within complex, production-level systems to support the development and deployment of machine learning solutions. Learn the end-to-end process of engineering design, model development, scalable system deployment, and ongoing operations. Make an immediate impact by contributing to ongoing internal research and development (R&D) initiatives. Partner with a team mentor to onboard smoothly and navigate workflows effectively. What You'll Bring Currently enrolled in a four year Bachelor's Program. Proficiency in Python and a solid foundation in statistics. Experience working on collaborative technical projects, either through internships, coursework, or extracurriculars. Familiarity with version control systems like Git. A proactive mindset and curiosity to explore new tools, techniques, and technologies. Previous internship experience in a corporate or technical setting in preferred. The US hourly range for this full-time position is $36-$45, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. 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 and how that was determined during the hiring process. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

Position Overview: We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one's experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job. Key Responsibilities: Monitor incoming data to detect anomalies and remediate issues Investigate and resolve data quality questions and concerns Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes Design, implement and maintain market data contract pipeline to be align with our data processing. Validate that all data required by market data contracts is present and accurate, and ensure no unauthorized deletions occur. Partner with investment teams to proactively address their data needs Design and build efficient and effective controls to help resolve and identify potential data issues Coordinate with the data engineering team to identify ways to improve our data and monitoring processes Work with external market data vendors to bring in new data sources required by business users and support existing feeds Create documentation to support data processing and exploration Contribute to a rotational “on call” program to facilitate the overnight processing of data Requirements: Bachelor's degree, preferably in economics, statistics, computer science, math or information systems 3+ years of experience working with financial data at an asset management company or financial data provider Experience orchestrating data pipelines and processes using Apache Airflow Proficient using Python and SQL to maintain data quality and automate data workflows Experience modeling data based on vendor methodologies and internal use Experience building data quality controls and resolving data issues Proven ability to visualize data using modern data analysis techniques Strong attention to detail Strong communication skills High energy and positive attitude - candidate should be conscientious, self-directed and possess a strong work ethic Passionate about a data focused career path Strong interest in databases and database technologies Plus: Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark Experience with Data Governance toolsets Interest in, or experience with, Machine Learning for Anomaly Detection GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

2026 Guardian Summer Intern, AI Business Analyst Our 2026 Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices. This 10-week internship provides you with realistic experiences and information of what it is like to work at Guardian. Internship Dates: The internship program will run from Thursday, May 28, 2026 - Friday, August 7, 2026. We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Friday, November 14, 2025, at 11:59PM ET or when role(s) have been filled, whichever comes first. You are: A rising senior (graduation date of May 2027) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment. Location (housing is not provided): Boston, MA You have: A basic understanding of AI A major in a technology related discipline (AI, ML, Comp science related course) A strong analytics background You will: Have the opportunity to learn how technology supports Guardian's Group Benefits customer service Have the opportunity to learn and quantify Broker Plan holder interactions in Group Benefits via our digital assistant Have the opportunity to analyze and report on Generative AI based solutions in Group Benefits customer service Have the opportunity to work and learn from supportive leaders, mentors and team members across the organization who will help coach you as you develop your professional career Learn about Guardian's purpose, values, how we work, and our suite of product and service offerings Build a network of colleagues and have a sense of community with other interns and other parts of the business Think broadly and ask questions about data, facts and other information Be a self-starter - someone who enjoys “rolling up their sleeves and getting things done”, has high energy, strong work ethic, displays the ability to work independently, and is creative We offer: Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent Employee Resource Groups that advocate for inclusion and diversity in all that we do Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, and drive a variety of initiatives in sustainability Eligibility: Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship are not available for this position. You must be available for the full program dates of the internship program. If you have any questions regarding the application process, please feel free to email Guardian_***************. Salary Range: $20-$35 per hour Salary Range: $20.00 - $35.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at ************************************************ Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Overview: RxSense is proud to sponsor an annual summer intern program that is focused on business education, career exploration, and personal enrichment. Hosted at our Corporate Headquarters in Boston, MA, interns will be expected to participate in person for eight weeks from Sunday, June 7th through Friday, July 31st, 2026. This position does not offer any remote opportunities. Take a moment to watch this short video that captures the RxSense Intern experience! Job Summary: The Business Analyst (BA) will learn about health care, the pharmacy benefit management industry and direct to consumer marketing through an orientation provided by the company's leadership team. Each week, functional leaders will teach Business Analysts about what their area of the company does, how it works, and how it contributes to the financial success of the organization. Business Analysts will work on two team-based projects and present their findings to executive leadership. A rotating list of guest speakers composed of leading experts from various industries such as healthcare law, commercial real estate, investment banking and broadcast media will conduct educational sessions about their work and career paths in their fields. Additionally, interns will participate in community volunteer activities sponsored by the company. Primary Job Duties & Responsibilities: Participate in project-based work in a team environment to deliver a professional presentation to executive leadership Actively participate in facilitated, daily discussions about current business news and events using the Wall Street Journal as the medium Use problem-solving skills to assist in resolution of business problems and the development of new product ideas Participate in weekly community building activities Show up every day, on time, ready to actively learn Requirements/ Qualifications: RxSense will only consider candidates who are rising Juniors or Seniors. Successful candidates will be intellectually curious and have an interest in pursuing a career in business or finance. The company seeks candidates who have a demonstrated track record of academic success, a strong work ethic demonstrated through athletics or working full or part-time jobs over the summer and/or while going to school. Candidates that have endeavored into entrepreneurship will be given special consideration. Proficiency in Microsoft Word, Excel and PowerPoint is required Exceptional verbal and written communication skills Critical thinking and problem-solving proficiency Ability to work effectively on a team and produce high quality work products Ability to self-manage Work Environment: Business casual dress code (not casual) Housing provided by the company Paid position Lunch provided daily Monday through Friday 9am to 3pm Deadline to apply is October 31st, 2025 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Reporting to the Business System Applications Manager, the Business Analyst Intern will work closely with the operations leadership team and will be to responsible for ensuring that all documentation pertaining to Q2 and Q3 Synergy project for the current financial year are completed accurately, quickly and in compliance with regulations. This position will help streamline our document repository by helping with creation of process flows, test plans and user training materials. ESSENTIAL JOB FUNCTIONS* Create process flows pertaining to current business processes To understand JIRA and create user stories Create test plan as per the requirements Create user training materials Work with management to prioritize business and information needs OTHER DUTIES AND RESPONSIBILITIES Performs additional duties as assigned by Manager, Business System Applications

Marlborough, MA, United States San Diego, CA, United States **Join Our Summer Internship: Help Us Map the Future of Salesforce at Hologic!** Are you curious about how big companies organize their technology and use cool tools like Salesforce? Our team at Hologic is on a mission to make sure we're getting the most out of what Salesforce has to offer-and we want you to join us! As our Business Transformation Intern, you'll help us figure out who's using what, what we're missing out on, and how we can work smarter together. Think of it as a treasure hunt, but with data. **What you'll be up to during your 10-12 week adventure:** + Create a clear, interactive map showing which teams use which Salesforce features (and which features are just hanging out, waiting for their moment to shine). + Work with our awesome IT team and business partners to track down domain owners and gather all the details. + Write up easy-to-understand definitions and real-world examples for each Salesforce capability. + Spot unused features and suggest how we might put them to work-saving money and boosting productivity in the process. + Share your findings and recommendations with the team, helping us make smart decisions for the future. **Who we're hoping to meet:** + You can work full-time during the summer (May/June - August/September). + You're currently working on your Bachelor's degree, with at least one semester left after the internship. + Your major is in Marketing, Business, Analytics, or something similar. + You're heading into your junior or senior year. + You know how to get your point across, whether you're writing or speaking. + You're curious, detail-oriented, and not afraid to ask questions (even the tough ones). + You enjoy digging into data and figuring out what it all means. + Experience with Salesforce is a plus, but not required-willingness to learn is what matters most! **Location, pay & other important details:** + You can work **onsite** at our Marlborough, MA **or** San Diego, CA campus. **Heads up** : intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. + Pay range: $21 - $25 per hour, based on your class standing and operational function. + The chance to work with a team that's genuinely invested in your growth. + Networking, mentorship, and skill-building opportunities-all designed to help you thrive. **Take your internship to the next level at Hologic!** When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. **Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.** \#LI-EK1

Job Description At Kindbridge Research Institute (KRI), we are pioneering work in a space that's still taking shape-gambling-related mental health. As a non-profit at the intersection of research, behavioral health, and community well-being, KRI is leading efforts to better understand gambling behaviors and their impact on vulnerable populations such as veterans, service members, and young adults. Through the Massachusetts Research and Education Collaborative (REC), we are building the statewide data infrastructure needed to understand gambling-related harm and advance prevention, intervention, and policy efforts across the Commonwealth. We're seeking a Part-Time Data & Surveillance Research Analyst to help transform raw data into meaningful insights that drive action. In this role, you will analyze state surveillance datasets, uncover patterns and disparities across populations, and contribute to the evidence base at the heart of this growing initiative. Your work will directly support communities disproportionately impacted by structural inequities and help bring the OPGS Data to Action Framework to life Why This Role Matters: You believe high-quality data should fuel real-world impact, not sit untouched in spreadsheets You care about health equity and want to uncover the patterns that reveal who is most affected-and why You are energized by surveillance work, statistical analysis, and the challenge of making complex datasets usable for public health decision-making You enjoy collaborating with epidemiologists, academics, public health agencies, and community partners You want to play a central role in building a statewide surveillance system that sheds light on gambling-related harm and supports meaningful policy and prevention strategies Key Responsibilities: Conduct statistical analyses of BRFSS, Youth Health Survey, and other state surveillance datasets to identify patterns and risk factors related to gambling-related harm Manage, clean, and organize large datasets to ensure accuracy, security, and high analytical integrity Support development and implementation of the Statewide Surveillance System Plan in collaboration with KRI leadership and external partners Conduct stratified analyses by race, ethnicity, socioeconomic status, gender, and geography to identify inequities and inform targeted interventions Assist in preparing peer-reviewed manuscripts, reports, and scientific conference materials Develop analytic summaries for internal planning and external dissemination Provide analytical support, training, or mentorship to team members and collaborators as needed Maintain organized data workflows, code documentation, and version control systems Report to the Project Manager and communicate progress, challenges, and needs Contribute to a collaborative, inclusive research environment grounded in scientific rigor and continuous learning Qualifications: Master's degree (completed or in progress) in Epidemiology, Biostatistics, Public Health, or a related quantitative field Familiarity with behavioral health, addiction, or gambling-related research Proficiency in statistical software such as R, SAS, SPSS, or Stata Experience with public health surveillance data, survey methodology, and large dataset management Strong understanding of health equity frameworks and disparities research Experience with BRFSS or other state-level surveillance datasets is a plus Experience with data visualization tools (e.g., Tableau, Power BI) and IRB/human subjects research processes Knowledge of Massachusetts public health data systems is beneficial Ability to work independently with attention to detail, accuracy, and reliability Work Culture & Values: Flexible In-Office Schedule: This part-time role includes regular in-person work in our Beverly, MA office for collaboration and team connection Autonomous & Impact-Driven: We believe in giving our team members the trust, tools, and support to own their work Collaborative & Innovative: You'll be part of a dynamic, mission-driven team that values open communication, learning, and experimentation This is more than a project-it's a platform to grow your career, explore new territory, and make a tangible impact. Come join us at KRI! Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Colorado Pay Range$30,000-$35,000 USD

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. Work with data warehousing solutions such as Redshift or Snowflake. Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. Write and modify scripts in Python or R for data manipulation and analysis. Collaborate with cross-functional teams to understand data infrastructure needs and best practices. Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proven academic or project experience in data analysis and modeling. Skills & Qualifications Basic knowledge of SQL and relational/non-relational databases. Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. Interest in ETL processes, scalable data pipelines, and data architecture. Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

About ConnectPrep: Our goal is to redefine “tutoring” - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Core skills You enjoy creative problem solving and working with messy, real-world data. You have strong math/quantitative skills and excellent attention to detail. You are curious about how data can improve learning and student outcomes. Academic & technical background You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. You have some coding experience and a strong interest in technology and AI. You have experience with at least one of the following: SQL, Python data tools (Pandas, NumPy, or similar) Building simple data pipelines or analysis scripts in Python Excel & analysis skills You are comfortable doing serious work in Excel, including several of the following: Advanced formulas and functions Tables and formatting Conditional formatting Advanced charting and visualizations Pivot tables and pivot reporting Using Excel productively for analysis, not just basic spreadsheets Data tables, simulations, and Solver (Bonus) VBA and macros AI, data, and analytics work you will support Work with AI tools and workflows to support data-driven decision-making Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms) Support projects involving AI and chatbot development for ConnectPrep's programs and website Conduct SEO and keyword research to identify growth opportunities and track performance Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports Assist with data analysis for marketing campaigns, content performance, and business operations Help test, document, and iterate on new data and AI workflows as they are developed Nice to have Prior internship or project experience in data analysis, business intelligence, or marketing analytics Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms) Experience visualizing data in tools such as Tableau, Power BI, or Data Studio Experience working with SEO tools or keyword platforms Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards) Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ***********************. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Join Our Summer Internship: Help Us Map the Future of Salesforce at Hologic! Are you curious about how big companies organize their technology and use cool tools like Salesforce? Our team at Hologic is on a mission to make sure we're getting the most out of what Salesforce has to offer-and we want you to join us! As our Business Transformation Intern, you'll help us figure out who's using what, what we're missing out on, and how we can work smarter together. Think of it as a treasure hunt, but with data. What you'll be up to during your 10-12 week adventure: Create a clear, interactive map showing which teams use which Salesforce features (and which features are just hanging out, waiting for their moment to shine). Work with our awesome IT team and business partners to track down domain owners and gather all the details. Write up easy-to-understand definitions and real-world examples for each Salesforce capability. Spot unused features and suggest how we might put them to work-saving money and boosting productivity in the process. Share your findings and recommendations with the team, helping us make smart decisions for the future. Who we're hoping to meet: You can work full-time during the summer (May/June - August/September). You're currently working on your Bachelor's degree, with at least one semester left after the internship. Your major is in Marketing, Business, Analytics, or something similar. You're heading into your junior or senior year. You know how to get your point across, whether you're writing or speaking. You're curious, detail-oriented, and not afraid to ask questions (even the tough ones). You enjoy digging into data and figuring out what it all means. Experience with Salesforce is a plus, but not required-willingness to learn is what matters most! Location, pay & other important details: You can work onsite at our Marlborough, MA or San Diego, CA campus. Heads up: intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. Pay range: $21 - $25 per hour, based on your class standing and operational function. The chance to work with a team that's genuinely invested in your growth. Networking, mentorship, and skill-building opportunities-all designed to help you thrive. Take your internship to the next level at Hologic! When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. #LI-EK1