analysis intern

Outdoor Cap

<div><div><div>Outdoor Cap Company has been focused on headwear since 1977. Together with JUNK Brands and Legendary Headwear, we serve customers across the Team Sports, Promotional Products, and Retail markets as trusted Headwear Experts. With unmatched scale, deep inventory, and decoration expertise, we help thousands of customers grow their business. Built on integrity, teamwork, and respect, we are committed to being a dependable, long-term partner.</div><div></div><div><br>
The <b>Product Development &amp; Data Analysis Intern</b> will support the Product and Sourcing teams in the organization, consolidation, and management of product data across active initiatives. This hands-on internship is designed to contribute to style consolidation and product data optimization projects while fostering the development of analytical, organizational, and cross-functional collaboration skills through real-world project exposure and mentorship.</div><div></div><div><b><br>
Development Opportunities</b></div><ul><li>
Product Lifecycle Exposure: Gain hands-on experience supporting product development initiatives to form data consolidation to review processes, understanding how product decisions are made and executed.</li><li>
Cross-Functional Collaboration: Work closely with product development, sourcing, and operations teams to see how data supports strategic assortment and material decisions.</li><li>
Data &amp; Process Optimization: Develop practical skills in organizing, structuring, and managing large product datasets that directly impact business efficiency and reporting accuracy.</li><li>
Project Participation: Attend and actively participate in project meetings, gaining exposure to consolidation strategy discussions and business decision-making.</li><li>
Mentorship: Receive guidance from product and sourcing leaders to strengthen analytical thinking, communication, and organizational skills.</li></ul></div><p></p><div><div><b><br>
Essential Duties &amp; Responsibilities</b></div><ul><li>
Provide support for the Style Consolidation Project by gathering, organizing, and tracking product data, materials, and samples in preparation for style consolidation reviews.</li><li>
Compile and maintain accurate material and component data within Excel spreadsheets to support product development and sourcing initiatives.</li><li>
Organize and manage style-level and product offering information to ensure data consistency and accessibility across teams.</li><li>
Attend and participate in project meetings, contributing insights and documenting follow-ups and action items.</li><li>
Prepare reports, trackers, and documentation to support consolidation decisions and leadership reviews.</li><li>
Identify discrepancies or gaps in product data and assist in improving data accuracy and process efficiency.</li><li>
Maintain structured file systems and documentation to support cross-functional collaboration.</li><li>
Provide general administrative and project support to product development and sourcing teams as needed.</li></ul><p></p><div><b><br>
Skills &amp; Competencies</b></div><ul><li>
Strong proficiency in Microsoft Excel, including data organization, filtering, sorting, and basic formulas.</li><li>
Highly detail-oriented with strong organizational and analytical skills.</li><li>
Ability to manage multiple tasks and meet deadlines in a structured, process-driven environment.</li><li>
Strong written and verbal communication skills.</li><li>
Eager to learn in a fast-paced product environment.</li><li>
Familiarity with Microsoft Office 365 and shared file management systems preferred.</li></ul><p></p><div><b><br>
Education &amp; Qualifications</b></div></div><div><ul><li>
Currently pursuing a Bachelor&rsquo;s degree in Business Administration, Supply Chain Management, Product Development, Merchandising, Data Analytics, or a related field from an accredited institution.</li><li>
Demonstrates interest in product development, sourcing, operations, and/or business analytics.</li><li>
Coursework or experience involving data analysis or product-related work preferred.</li></ul><p></p><div><b><br>
Physical/Mental Requirements</b></div><ul><li>
Must be able to remain in a stationary position (seated) 80% of the day and occasionally reach, bend and move inside the office to access files and product.</li><li>
Required to have close visual acuity to perform computer tasks and operate other office machinery.</li><li>
The person in this position frequently communicates with internal and external customers and must be able to exchange accurate information in a clear manner.</li><li>
Ability to move 10-20 lbs occasionally throughout day.</li><li>
Able to hear a telephone ring.</li></ul><p></p><div><br>
Nothing in this job description restricts management&rsquo;s right to assign or reassign duties and responsibilities to this job at any time.</div></div></div>

Product Development & Data Analysis Intern

The Institute for Advanced Learning and Research

<p></p><div><div><div><b>ABOUT THE INTERNSHIP</b></div><div>
Interested in business, economics, or community development? Join the Southern Virginia Regional Alliance (SVRA) within the Economic Development division at the Institute for Advanced Learning and Research (IALR). This internship provides hands‑on experience supporting industry growth, analyzing regional trends, and helping attract new businesses to Southern Virginia. Under the mentorship of Linda Hutson Green, Executive Director of SVRA, interns will contribute meaningful research and outreach that supports economic advancement in the region.</div></div><div><div><b>
WHAT YOU&rsquo;LL DO</b></div><ul><li>Collect, organize, and analyze data to support economic development initiatives</li><li>Assist with social media content and publications to communicate key insights</li><li>Support meetings, events, and industry outreach activities</li><li>Prepare documents and presentations using Excel, Word, PowerPoint, and similar tools</li><li>Maintain confidentiality and ensure accuracy in all data and communications</li></ul></div><div><div><b>
WHAT YOU&rsquo;LL LEARN</b></div><ul><li>Hands-on experience in economic research, data analysis, and regional development</li><li>Insight into how communities attract new industries and support business growth</li><li>Skills in professional communication, content creation, and public engagement</li><li>Real-world experience collaborating with economic development professionals</li></ul></div><div><div><b>
PROGRAM DETAILS</b></div><ul><li><b>Duration:</b> 8 weeks</li><li><b>Schedule:</b> Approximately 28 hours per week, up to a maximum of 224 hours</li><li><b>Compensation:</b> $15 per hour / $3,360 total stipend</li><li><b>Location:</b> In-person at IALR (Danville, VA)</li></ul></div><div><div><b>
OTHER DETAILS</b></div><div>
IALR reserves the right to modify and/or cancel the internship program. Modifications may include a shortened timeframe with a pro‑rated adjustment to compensation, alternate assignments, or adjustments to work-site location. Internships are primarily in-person. The IALR Internship Program does not provide local housing or a housing allowance.</div></div><div><div><b>
ELIGIBILITY REQUIREMENTS</b><br>
<ul><li>To be considered for the 2026 IALR Internship Program, applicants must meet ONE of the following criteria:</li><li>Be a high school graduate (may be graduating Spring 2026) with plans to attend college in Fall 2026</li><li>Be a current undergraduate or graduate student</li><li>Be a recent college graduate (within the past 12 months)</li></ul></div></div><div><div><b>
INTERNSHIP TIMELINE</b><br>
<ul><li>Application Deadline: March 20, 2026 at 4:00 PM (EST)</li><li>Candidate Interviews (Microsoft Teams): April 16&ndash;17, 2026</li><li>Intern Selection Notifications: April 30, 2026</li></ul>
Please note: IALR internships are highly competitive, and not all applicants will be invited to interview.</div></div><div><div><b>
MANDATORY PROGRAM DATES</b><br>
<ul><li>Intern Orientation (required for all interns): June 1, 2026 OR June 8, 2026</li><li>Mandatory Internship Luncheon and Final Presentations: July 24, 2026</li></ul></div></div><div><div><b>
TIME COMMITMENT REQUIREMENTS</b><br>
<ul><li>Interns must complete a total of 224 hours by August 10, 2026</li><li>The internship is designed as an 8-week program served in consecutive weeks</li><li>Interns are permitted ONE unpaid week off during the program</li><li>Except for this one week, interns are expected to work continuously</li></ul></div></div><div><div><b>
LETTER OF RECOMMENDATION</b><br>
All applicants must submit ONE letter of recommendation as part of the application process. The letter will be reviewed in addition to application responses. The letter must be received by March 20, 2026.</div></div><div><div><b>
SUBMISSION OPTIONS</b><br>
Letters of recommendation can be provided by email or address. The details are below:
</div></div><div><div>Email:<br>
hr@ialr.org</div></div><div><div>
Mail:<br>
ATTN: HR &ndash; Internship<br>
Institute for Advanced Learning and Research<br>
150 Slayton Avenue<br>
Danville, VA 24540<br>
<br>
<b>LETTER REQUIREMENTS</b><br>
The letter must include:<br>
<ul><li>The reference&rsquo;s relationship to the applicant</li><li>Length of time the reference has known the applicant</li><li>Comments on the applicant&rsquo;s knowledge, skills, and abilities relevant to the internship</li><li>Any concerns that may prevent successful completion of the internship</li></ul></div></div></div>

SVRA Research and Data Analysis Intern

Markraft

<p><b>Job Title:</b> Data Analyst Intern</p><p><b>Location:</b> Lahore, Pakistan<br/><b>Company:</b> Mashkraft (Canada-based Software Firm)<br/><b>Job Type:</b> Internship (Full-Time)</p><p><b>Job Description</b></p><p>Mashkraft is seeking a detail-oriented and motivated <b>Data Analyst Intern</b> to join our growing team. This role is ideal for recent Computer Science graduates or individuals with 1&ndash;2 years of relevant experience or internship exposure who are eager to develop hands-on skills in data analysis, reporting, and business insights.</p><p><b>Key Responsibilities</b></p><ul><li>Clean, organize, and validate large datasets using Microsoft Excel and other tools</li><li>Assist with data entry, transformation, and quality assurance processes</li><li>Create reports and basic dashboards to support data-driven decision-making</li><li>Collaborate with cross-functional teams to understand data requirements</li><li>Identify trends, patterns, and anomalies within datasets</li><li>Maintain and update internal databases as required</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field</li><li>Strong proficiency in Microsoft Excel (pivot tables, formulas, charts)</li><li>knowledge of SQL, Google Sheets, or Python is a plus</li><li>High attention to detail and strong analytical skills</li><li>Familiarity with data visualization tools is an advantage</li><li>Strong willingness to learn and grow in the data analytics field</li></ul><p><b>Benefits</b></p><ul><li>Hands-on experience with real-world data projects</li><li>Opportunity to work with an international team</li><li>Supportive work environment with learning opportunities</li><li>Potential conversion to a full-time role based on performance</li></ul><p><b>Compensation</b></p><ul><li>Monthly stipend starting from <b>PKR 15,000</b></li></ul><p><b>Work Location</b></p><ul><li>On-site (Lahore)</li><li>Candidates must be able to commute reliably or relocate before joining</li></ul><p><b>How to Apply</b></p><p>Send your resume to <b>careers@mashkraft.com</b><br/><b>Subject Line:</b> <i>Data Analyst Intern Application &ndash; [Your Name]</i></p><p>Job Type: Full-time</p><p>Pay: From Rs1.00 per month</p><p>Work Location: In person</p>

Data Analyst Intern

ICON plc

<div>Intern _ Chennai _ Office Based<div></div><div>
ICON plc is a world-leading healthcare intelligence and clinical research organization. We&rsquo;re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development</div><div></div><div>
We are currently seeking an Intern to join our diverse and dynamic team. As an Intern at ICON, you will have the opportunity to gain hands-on experience in a professional environment, supporting various projects and initiatives across the organization. You will work closely with team members to develop your skills and contribute to meaningful work that impacts our mission.</div><div></div><div>
What You Will Be Doing:</div><ul><li><div>
Assisting with research, data collection, and analysis to support ongoing projects and initiatives.</div></li><li><div>
Participating in team meetings and contributing ideas to enhance project outcomes and workflows.</div></li><li><div>
Helping to prepare reports, presentations, and other materials as needed.</div></li><li><div>
Supporting day-to-day operations and administrative tasks to ensure efficient team functioning.</div></li><li><div>
Engaging in professional development activities and networking opportunities within the organization.</div></li></ul><div></div><div>
Your Profile:</div><ul><li><div>
Currently holding Bachelor&rsquo;s or Master&rsquo;s degree in life science background</div></li><li><div>
A strong desire to learn and gain practical experience in a professional setting.</div></li><li><div>
Excellent organizational and time-management skills, with the ability to manage multiple tasks and deadlines.</div></li><li><div>
Strong communication skills, both written and verbal, with the ability to collaborate effectively with team members.</div></li><li><div>
Proficiency in Microsoft Office applications; familiarity with data analysis or project management tools is a plus.</div></li></ul><div></div><div>
What ICON can offer you:</div><div></div><div><div><div><div><div>
Our success depends on the quality of our people. That&rsquo;s why we&rsquo;ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.</div><div></div><div>
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.</div><div></div><div>
Our benefits examples include:</div><ul><li><div>
Various annual leave entitlements</div></li><li><div>
A range of health insurance offerings to suit you and your family&rsquo;s needs.</div></li><li><div>
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.</div></li><li><div>
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family&rsquo;s well-being.</div></li><li><div>
Life assurance</div></li><li><div>
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.</div></li></ul></div></div></div></div><div></div><div>
Visit our <div>careers site</div> to read more about the benefits ICON offers.</div><div></div><div>
At ICON, inclusion &amp; belonging are fundamental to our culture and values. We&rsquo;re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div><div></div><div><div><div><div><div>
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know</div><div></div><div><div>
Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless &ndash; there&rsquo;s every chance you&rsquo;re exactly what we&rsquo;re looking for here at ICON whether it is for this or other roles.</div></div></div></div></div></div></div><div></div>

Intern

Grainger

<p></p><div><p><b>Work Location Type: </b><b>Hybrid</b></p><p></p><p><br>
Imperial Supplies, a Grainger Company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs.</p><p></p><p><br>
Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a Great Place to Work-Certified&trade; company, we&rsquo;re looking for passionate people to join our team as we continue leading the industry.</p><p><b>
Business Analytics Intern &ndash; Fall 2026</b></p><p></p><p><br>
As a <b>Business Analytics Intern</b> at Imperial Supplies, we&rsquo;ll help you design an experience that meets your learning objectives while giving you hands-on exposure to how analytics supports real business decisions. You will work closely with experienced analytics professionals and business stakeholders to transform data into actionable insights that drive sales, margin improvement, and operational efficiency.</p><p></p><p><br>
Imperial Supplies is a growing distributor of fleet maintenance products, headquartered in Green Bay since 1958, with a strong history of double-digit annual growth. This internship provides an opportunity to contribute to meaningful analytics initiatives while building practical skills in reporting, modeling, and stakeholder communication.</p><p></p><p><br>
Under general supervision, the <b>Business Analytics Intern</b> will support analytics and reporting initiatives by gathering business requirements, developing dashboards and analytical models, and presenting insights to stakeholders. This role blends elements of business analysis and data science, providing exposure to both descriptive reporting and advanced analytics.</p><p></p><p><b><br>
Internship details</b></p><ul><li>
Paid internship during Fall 2026</li><li>
Duration of 12 weeks, up to 20 hours per week depending on student interest and availability</li><li>
Willing to provide supporting documentation for students seeking school credit</li></ul><p><b>
Key Responsibilities</b></p><ul><li>
Partner with business stakeholders to gather insight requirements, define deliverables, and estimate level of effort for analytics initiatives.</li><li>
Design, build, test, and maintain reports and dashboards in Power BI to support recurring monitoring of key metrics.</li><li>
Develop and validate analytical models using Python and SQL to support business decision-making and optimization efforts.</li><li>
Perform data collection, validation, and analysis from internal or third-party data sources to ensure accuracy and usability of outputs.</li><li>
Translate complex analytical findings into clear, actionable insights and present results to business stakeholders at varying levels.</li><li>
Document requirements, assumptions, and business value associated with analytics deliverables.</li><li>
Support continuous improvement efforts by identifying opportunities to automate manual reporting and improve existing dashboards or analytics processes.</li></ul><p><b>
Intern Goals &amp; Learning Outcomes</b></p><p>
By the end of the internship, the intern will:</p><ul><li>
Understand how to identify and define business insight needs</li><li>
Document analytics requirements and expected outcomes</li><li>
Design and deliver dashboards and/or analytical models</li><li>
Build hands-on experience with Power BI, Python, and SQL</li><li>
Communicate analytics results effectively to business stakeholders</li></ul><p><b>
Internship Requirements</b></p><ul><li>
Current enrollment in a degree program related to Business Analytics, Data Analytics, Data Science, or a similar quantitative field</li><li>
Foundational knowledge of data analysis concepts and business problem-solving</li><li>
Experience or coursework using Excel; exposure to Power BI, SQL, and/or Python preferred</li><li>
Strong analytical curiosity with attention to detail</li><li>
Ability to manage multiple priorities and work in a collaborative, fast-paced environment</li><li>
Effective written and verbal communication skills</li></ul><p></p><p><i><br>
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.</i></p><p></p><p><i><br>
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one&rsquo;s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.</i></p></div>

Business Analytics Intern - Fall 2026

Augurs Technologies Pvt. Ltd

<p><b>Job Title:</b> AI/ML Intern<br/><b>Department:</b> Technology / Research &amp; Development<br/><b>Location:</b> Vibhuti Khand, Gomti Nagar, Lucknow<br/><b>Duration:</b> 6 Months</p><p><b>About the Role:</b></p><p>We are seeking a passionate and innovative <b>AI/ML Intern</b> to join our technology team for a 6-month internship. This role is ideal for someone eager to explore real-world applications of Artificial Intelligence, Machine Learning, and Data Science. The intern will work closely with senior engineers to develop models, analyze datasets, and contribute to ongoing AI-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in designing, developing, and implementing machine learning models.</li><li>Work on data preprocessing, data cleaning, feature engineering, and exploratory data analysis.</li><li>Support the team in training, evaluating, and optimizing ML algorithms.</li><li>Collaborate in building AI-driven solutions such as predictive models, automation systems, or recommendation engines.</li><li>Conduct research on emerging AI/ML tools, frameworks, and techniques.</li><li>Participate in code reviews, documentation, and project discussions.</li><li>Assist in deploying ML models into production environments (if applicable).</li></ul><p><b>Skills &amp; Qualifications:</b></p><ul><li>Pursuing or recently completed a Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Mathematics, AI/ML, or a related field.</li><li>Strong understanding of machine learning concepts, algorithms, and statistics.</li><li>Hands-on experience with Python and ML libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch.</li><li>Basic knowledge of data visualization tools (Matplotlib, Seaborn, etc.).</li><li>Familiarity with SQL or any database system is a plus.</li><li>Excellent problem-solving and analytical skills.</li><li>Ability to work independently and collaboratively with the team.</li></ul><p><b>Perks &amp; Benefits:</b></p><ul><li>Internship Certificate after successful completion of 6 months.</li><li>Hands-on experience working on real-time AI and ML projects.</li><li>Mentorship from experienced Data Scientists and ML Engineers.</li><li>Opportunity to contribute to live projects and research initiatives.</li><li>Potential for full-time placement based on performance.</li></ul><p>Job Type: Internship</p><p>Contract length: 6 months</p><p>Work Location: In person</p><p>Job Types: Fresher, Internship<br/>Contract length: 6 months</p><p>Work Location: In person</p>

AI Intern

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Amazon, we are working to be the most customer-centric company on earth.<br>
The Amazon MENA University Talent Acquisition Team is looking for ambitious students to join us as a Business Analyst Intern. Interns may work within one of several core business areas, including:
<br>
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Amazon Retail
<br>
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Amazon Vendor Services
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Amazon Merchant Services
<br>
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Amazon Advertising
<br>
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Prime Video
<br>
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Prime Now
<br>
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Amazon Fresh
<br>
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Internship length can vary between 3 months to 6 months.
<br>
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Key job responsibilities<br>
As a Business Analyst Intern, you may be expected to:
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Work with operational, finance, retail, and technical teams to identify business opportunities, develop sound business cases and drive measurements of actions to continuously improve the inputs and ultimately the outputs of the business.
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Working with large volumes and big data, in a highly complex business.
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Analyze business performance and propose actions to improve key input metrics.
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Access and manipulate large datasets using SQL or other tools to generate insights.
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Support the development of business cases to drive measurable improvements.
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Partner with internal stakeholders to deliver results through data-driven recommendations.
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A day in the life<br>
As a business analyst intern you will be trained in one of our business intelligence, retail, or seller services teams. The internship provides an opportunity to learn and understand Amazon business processes, enhance analytical skills, and contribute to making significant business impact.
<br>
As an intern, you will be matched to a mentor. In addition to learning about an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
<br>
<br>
About the team<br>
If you&rsquo;re insatiably curious and always want to learn more, then you&rsquo;ve come to the right place. Our internship program is designed to give you real-world experience while supporting your development. You&rsquo;ll work in a fast-paced, collaborative environment that values curiosity, ownership, and learning.
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Depending on your location, country, job status and other requirements, some or all the following benefits may be available to you as an intern.
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<br>
<ul><li>Competitive pay
</li><li>Impactful project and internship/role deliverables
</li><li>Networking opportunities with fellow interns
</li><li>Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
</li><li>Mentorship and career development
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Currently enrolled in or will receive a Bachelor&rsquo;s or Master&rsquo;s Degree with a graduation date between December 2026 and June 2028</li><li>Enrolled in a Bachelor&rsquo;s or Master's degree in mathematics, engineering, statistics, computer science, business, or related field</li><li>Experience with SQL or ETL</li><li>Experience in financial/ business analysis</li><li>Experience defining requirements and using data and metrics to draw business insights</li><li>Legal right to work in Saudi Arabia</li></ul>
- Fluent in written and verbal English (Level - C1 or higher).<br>
<ul><li>Available to commence an internship between January and December 2026. Yes, our start dates are flexible! You should then be available for 3-6 months, full time (40h/week).</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Analytical and quantitative skills, ability to use hard data and metrics to back up assumptions and concepts</li><li>Experience using databases with a large-scale data set</li><li>Intermediate SQL</li><li>Advanced Excel</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

2026 Business Analyst Intern

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