data analytics intern

MMGY Global

<div><p>At MMGY Global, we believe nothing can shape your view of the world like travel. So, every day, we share our clients&rsquo; stories from our perspective to inspire people to see the world differently. Our personalized service, strategy and creativity connect media, consumers and influencers across the globe, taking people to new places to change their view for the better. At MMGY we inspire people to go places.</p><div>
We&rsquo;re looking for curious, motivated college juniors, seniors, or recent grads eager to gain hands-on experience in the dynamic world of travel, tourism, and hospitality marketing. Join us this summer in our <b>Overland Park, KS </b>office as a <b>Marketing Performance &amp; Data Analytics Intern</b> for our Summer Internship Program!</div><div>
</div><div>
Join our team as a Marketing Performance and Data Analytics Intern and build real-world experience in performance analytics, data analysis, and campaign optimization. You will work on active client projects, contribute insights that shape marketing strategy, and collaborate with a supportive team of experienced professionals from diverse backgrounds. This internship provides hands-on learning across multiple clients, projects, and business challenges, helping you develop practical analytics and marketing skills for your career.</div><div>
</div><div><b>
More about our internship</b></div><ul><li>
Implement Website Tracking: Assist in setting up website tracking tools to monitor key metrics like traffic, conversions, and user behavior</li><li>
Media Creative Reporting: Help track and report on the performance of media creatives across platforms, analyzing engagement and conversion data</li><li>
Dashboard Development: Support the creation and maintenance of dashboards to visualize campaign performance and key metrics</li><li>
KPI Projections: Contribute to projecting KPIs based on data analysis to help set realistic performance goals</li><li>
Global Project: Collaborate with fellow interns across the global agency on a shared client project and gain real-world exposure to cross-market strategy</li><li>
Our Marketing Performance &amp; Data Analytics Intern will gain experience working in tools/platforms like: Tableau, Microsoft Office (Excel, PowerPoint, etc.), Google Tag Manager, Google Analytics 4, Google Campaign Manager, BigQuery, and more</li></ul><div><b>
What we are looking for in an intern</b></div><ul><li>
Data Analytics/Business/Marketing Knowledge: A basic understanding or interest in data analytics, business, or marketing. The ability to see how data influences decision-making will be key.</li><li>
Willingness to Learn: Eagerness to adapt and grow, staying open to new tools and industry trends.</li><li>
Creative: Bringing fresh ideas and thinking outside the box, especially when working with data and problem-solving.</li><li>
Innovative: Proactively looking for new ways to improve processes and drive better results.</li><li>
Proactive: Taking initiative and anticipating needs without waiting for direction.</li></ul><div><b>
Program Details:</b></div><div>
As an Intern at MMGY Global, you will receive hands-on work experience and get to work directly with our clients. You will be assigned a supervisor to foster your professional development and guide you throughout the program. MMGY Global&rsquo;s internships will run from June 8, 2026, through August 6, 2026. You will work Monday - Thursday in the office, up to 32 hours per week. This is a paid internship at $14 per hour.</div><div>
</div><div>
Applicants for employment in the U.S. must possess work authorization which does not require sponsorship by the employer for a visa. MMGY Global is an Equal Opportunity Employer.</div><p><b>
Who Are We?</b> We&rsquo;re a travel-obsessed collective of more than 600 people across the country and around the globe. And when we say we inspire people to go places, we mean ALL people. That&rsquo;s why we&rsquo;re focused on nurturing a workforce that is representative of the places we visit.</p></div>

Marketing Performance & Data Analytics Intern

Pitney Bowes

<div><p><b>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.</b></p><p><br>
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: <b>Client. Team. Win. Innovate.</b></p><p></p><div>
We actively look for prospects who:<br>
<ul><li>Are passionate about client success.</li><li>Enjoy collaborating with others.</li><li>Strive to exceed expectations.</li><li>Move boldly in the quest for superior and best in market solutions.</li></ul></div><p></p><p><b>
Job Description:</b></p><p></p><div><div><div><div><div><div><div><div><div><p><b>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
</b></p><p></p><p>A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.
</p><p></p><p>Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:</p><ul><li><p><b>
PROJECTS</b>: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer</p></li><li><p><b>
SUPPORT</b>: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</p></li><li><p><b>
PAY</b>: The wage range for this position is $22 to $25 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.</p></li><li><p><b>
JOB OFFERS</b>: The intern program may only last 10-weeks, June 1st - August 7th, but we don&rsquo;t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes</p></li></ul><p></p><p>
Join the SendTech Engineering organization and work on real data projects that support logistics, ecommerce, shipping, and presort operations. You&rsquo;ll build models, work with large datasets, and turn insights into solutions that help teams make smarter decisions.</p></div></div></div></div></div></div></div></div></div><p></p><h2 class="jobSectionHeader"><b>
You </b><b>Will</b></h2><ul><li><p>
Meet with internal teams (and sometimes clients) to clarify needs and shape data questions.</p></li><li><p>
Build predictive and forecasting models using machine learning.</p></li><li><p>
Work with large datasets &mdash; cleaning, analyzing, and modeling to uncover insights.</p></li><li><p>
Code in Python using tools like Pandas, NumPy, Scikit‑learn, LightGBM, Plotly, and Prophet.</p></li><li><p>
Use structured workflows such as CRISP‑DM to guide your project steps.</p></li><li><p>
Present your findings in clear, visual formats for non‑technical audiences.</p></li><li><p>
Collaborate on prototypes and solutions that may support real operations.</p></li><li><p>
Explore big‑data environments including Snowflake, SQL databases, and cloud‑based tools.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
You </b><b>Bring</b></h2><ul><li><p>
Strong Python skills (required), especially with Pandas, NumPy, and ML libraries like Scikit‑learn or LightGBM.</p></li><li><p>
Experience building predictive or forecasting models through coursework or projects.</p></li><li><p>
Comfort with SQL and querying databases/big‑data tools (Snowflake, SQL Server, etc.).</p></li><li><p>
Bonus: Familiarity with visualization/storytelling tools (Power BI).</p></li><li><p>
Nice‑to‑have: Exposure to big‑data handling, time series, or geospatial data.</p></li><li><p>
Strong communication skills, problem‑solving mindset, and genuine curiosity.</p></li></ul><p></p><p><b>
We will:</b></p><p></p><ul><li>Provide the opportunity to grow and develop your career</li><li>Offer an inclusive environment that encourages diverse perspectives and ideas</li><li>Deliver challenging and unique opportunities to contribute to the success of a transforming organization</li><li>Offer comprehensive benefits globally<b> </b>(PB Live Well)</li></ul><p></p><p>
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.</p><p>
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.</p><p>
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.</p></div>

Data Analytics Intern

Enlyte

<div>Company Overview:
<div>
At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.</div><div></div><div><b><br>
Be part of a team that makes a real difference.</b></div>
Job Description :
<div>
As a Data &amp; Analytics Analyst Intern, you will support our Casualty Analytics Group's data-driven decision-making process. You will gain hands-on experience extracting, analyzing, and interpreting data to uncover valuable insights that inform business strategies and initiatives. This role offers an excellent opportunity to develop your technical skills while learning about the insurance industry.</div><div></div><div><b><br>
Key Responsibilities:</b></div><ul><li>
Create compelling data stories that translate complex findings into business recommendations</li><li>
Support cross-functional teams by gathering requirements and helping translate them into data queries
</li><li>Learn and apply principles of data quality management including metadata, lineage, and business definitions</li><li>
Help maintain and document data solutions and analytical tools</li><li>
Collaborate with cross-functional teams to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Participate in team meetings and present findings from assigned analysis projects
</li></ul>Qualifications:
<ul><li>Currently pursuing a Bachelor's or Masters&rsquo;s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related discipline
</li><li>Expected graduation between Summer 2026 and June 2027</li><li>
GPA of 3.3 or higher</li><li>
Basic proficiency in SQL and Python required; DBT a plus
</li><li>Exposure to data visualization tools (Tableau, Power BI, or similar) is a plus</li><li>
Strong problem-solving skills and intellectual curiosity</li><li>
Ability to communicate technical concepts clearly</li><li>
Interest in learning about the workers' compensation insurance industry</li><li>
Enthusiasm for Data &amp; Analytics and eagerness to learn from experienced professionals</li></ul><p><b>
Learn more about our Summer Internship Program: </b><b>https://careers.enlyte.com/internship</b></p>
Benefits:
<div>
Compensation depends on the applicable US geographic market. The expected base pay for this position is $35 per hour, and will be based on a number of additional factors including skills, experience, and education.</div><div><br>
</div><p><i>The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.</i></p><div><br>
</div><div>Don&rsquo;t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div></div>

Data & Analytics Analyst 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

ZEBRA

<p><b>E-Commerce Analytics, AEO &amp; Growth Intern (Remote)</b></p><p><b>Location:</b> Remote</p><p><b>Start Date:</b> Hybrid (March&ndash;May)</p><p><b>Schedule:</b> 10&ndash;15 hours per week (flexible) <b>Compensation:</b> Hourly (based on experience) $10- $12 an hour</p><p><b>About ZEBRA</b></p><p>ZEBRA is a fast-growing non-toxic lifestyle brand built on trust, transparency, and data-backed decision making. We operate at the intersection of wellness, digital commerce, and performance analytics.</p><p>As search behavior evolves (AI search, generative engines, answer-based results), we are investing early in AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) to ensure our brand is discoverable across traditional search and AI-powered platforms.</p><p><b>Role Overview</b></p><p>We are hiring an <b>E-Commerce Analytics, AEO &amp; Growth Intern</b> to support performance analytics, search visibility strategy, and website optimization.</p><p>This is not just a reporting role. This person will help us think ahead &mdash; optimizing for how customers find and interact with brands in both traditional search engines and generative AI platforms.</p><p>Ideal for someone studying data analytics, marketing analytics, business, or digital strategy who wants hands-on experience inside a scaling DTC company.</p><p><b>Responsibilities1️ Shopify &amp; Revenue Analysis</b></p><ul><li>Pull and analyze weekly Shopify reports</li><li>Monitor AOV, conversion rate, revenue per session</li><li>Track subscription performance (Recharge)</li><li>Assist with product performance and cohort analysis</li></ul><p><b>2️ Marketing &amp; Growth Analytics</b></p><ul><li>Review UTM structure and campaign tracking consistency</li><li>Analyze paid media performance (ROAS, CPA, blended CAC)</li><li>Track influencer and affiliate performance</li><li>Assist with Klaviyo email performance reporting</li><li>Identify trends and growth opportunities across channels</li></ul><p><b>3️ AEO (Answer Engine Optimization) Support</b></p><ul><li>Research how customers are asking questions related to our product category</li><li>Identify FAQ gaps and answer-based content opportunities</li><li>Help structure website content to better answer direct search queries</li><li>Assist in optimizing blog, FAQ, and product pages for featured snippets</li><li>Support structured content formatting for answer-based search</li></ul><p><b>4️ GEO (Generative Engine Optimization) Support</b></p><ul><li>Research how brands in our space are appearing in AI-driven search results</li><li>Help audit website content to ensure clarity, authority, and structured information</li><li>Assist in developing content briefs aligned with AI discoverability</li><li>Analyze brand mentions across AI and emerging search platforms</li><li>Support documentation of evolving search trends</li></ul><p><b>5️ Website Optimization &amp; Maintenance Support</b></p><ul><li>Collaborate with website maintenance team on performance reporting</li><li>Analyze conversion funnels and drop-off points</li><li>Support product page optimization (data-backed recommendations)</li><li>Assist with keyword mapping and content updates</li><li>Identify areas to improve site clarity, structure, and UX from a data perspective</li></ul><p><b>6️ Dashboard &amp; Reporting</b></p><ul><li>Maintain weekly performance spreadsheets</li><li>Assist in preparing executive-level summaries</li><li>Analyze our COO&rsquo;s Power BI Dashboards monthly</li><li>Translate data into actionable recommendations</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>Strong Excel or Google Sheets skills</li><li>Analytical mindset with curiosity</li><li>Basic understanding of marketing metrics (ROAS, CAC, LTV)</li><li>Interest in AI search trends and emerging digital behavior</li><li>Detail-oriented and organized</li><li>Comfortable researching and synthesizing information</li></ul><p>Bonus if:</p><ul><li>Shopify familiarity</li><li>Power BI experience</li><li>SEO coursework or digital marketing background</li></ul><p><b>What You&rsquo;ll Gain</b></p><ul><li>Exposure to advanced e-commerce analytics</li><li>Hands-on experience with AEO and GEO strategy</li><li>Direct collaboration with executive leadership</li><li>Understanding of how data drives marketing and inventory decisions</li><li>Real startup experience where your analysis influences action</li></ul><p>Job Type: Internship</p><p>Pay: $10.00 - $12.00 per hour</p><p>Expected hours: 10 &ndash; 15 per week</p><p>Application Question(s):</p><ul><li>Are you able to commute to this jobs location 2-3 times per week?</li><li>Do you have experience with Shopify?</li><li>Do you have experience with excel?</li><li>How many years experience do you have with Shopify?</li><li>How many year experience with Data analytics?</li><li>Do you have experience with AEO (Answer Engine Optimization) Support? if so how many years?</li><li>How many years experience do you have with Marketing &amp; Growth Analytics?</li><li>Please look at the www.yayzebra.com website and tell me what makes you want to support this  brand?</li><li>Please tell me more about your Website Optimization &amp; Maintenance Support experience?</li><li>Do you have experience with Power BI?</li><li>Tell us more about your experience with: Basic understanding of marketing metrics (ROAS, CAC, LTV)?</li><li>Do you have a portfolio? Can you please share any other internships or summer jobs you have helped in this area of expertise?</li></ul><p>Work Location: Hybrid remote in Argyle, TX 76226</p>

Marketing Intern _ E-Commerce Analytics, AEO, and Growth Intern

Schnuck Markets, Inc.

<div>
 <p>
  <strong>
   <u>
    2026 Data Science Internship
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  St. Louis, MO (Hybrid) | Remote (Available for MO, IL, or IN residents)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Commitment:
  </strong>
  Full-time (Summer 2026) | Part-time (Fall 2026)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Intern Program Overview
   </u>
  </strong>
 </p>
 <p>
  Join a mentorship-oriented environment designed to fast track your professional career. As a Data Science Intern, you will work alongside a dedicated team of experts to solve real-world business problems using Machine Learning and Generative AI. This program offers a unique blend of technical development and business strategy, providing high-performing interns with the opportunity to be considered for full-time roles upon graduation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Model Development: Build and deploy machine learning models to identify actionable business insights.
  </li>
  <li>
   Advanced Analytics: Conduct predictive data mining and assist in the automation of complex work streams.
  </li>
  <li>
   Tech Stack Integration: Gain hands-on experience with Google Cloud Platform (GCP), BigQuery, and Gemini AI.
  </li>
  <li>
   Professional Presence: Refine your communication skills through bi-weekly presentations to the Data Science department.
  </li>
  <li>
   Change Management: Support the team in training and automation initiatives to drive business value.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Eligibility &amp; Requirements
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Availability
  </strong>
 </p>
 <ul>
  <li>
   Current Enrollment: Must be a Master&rsquo;s or PhD student in Data Science, Data Analytics, Computer Science, Statistics, or Mathematics or a related field.
  </li>
  <li>
   Academic Standing: Expected graduation date of Dec 2026 or later.
  </li>
  <li>
   Schedule: Available for full-time work (40 hours per week) in Summer 2026 and part-time work (20 hours per week) in the Fall 2026 semester.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Programming: Proficiency in Python or R, and strong SQL skills.
  </li>
  <li>
   Methodology: Solid understanding of data science workflows and machine learning algorithms.
  </li>
  <li>
   Cloud &amp; AI: Familiarity with cloud environments (GCP preferred) and an interest in Large Language Model (LLM) applications.
  </li>
  <li>
   Communication: Ability to translate complex technical findings into business insights for non-technical stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   High attention to detail and a self-motivated drive to learn.
  </li>
  <li>
   Excellent verbal and written communication.
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple priorities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Location &amp; Workplace Model
   </u>
  </strong>
 </p>
 <ul>
  <li>
   St. Louis-based Interns: This role follows a hybrid schedule. Candidates residing in the St. Louis metropolitan area should expect to work from our central office as their schedule allows.
  </li>
  <li>
   Regional Remote: Candidates residing in MO, IL, or IN (outside of the STL metro area) are eligible for fully remote work.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Why Join Us?
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Direct Mentorship: You will be paired with one or more dedicated mentors for personalized guidance.
  </li>
  <li>
   Collaboration: Work in a cohort-based model alongside other interns and data scientists.
  </li>
  <li>
   Career Pathing: We are specifically looking for candidates interested in a long-term career in data science post-graduation.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Science Intern (Year-Round)

Berkley

<div>Company Details:
<div>
Berkley Accident and Health is a risk management company that designs innovative solutions to address the unique challenges of each client. With our entrepreneurial culture and strong emphasis on analytics, we can help employers better manage their risk. We offer a broad range of products, including employer stop loss, benefit captives, provider stop loss, HMO reinsurance, and specialty accident. The key to Berkley&rsquo;s success is our nimble approach to risk &ndash; our ability to quickly understand, think through, and devise a plan that addresses each client&rsquo;s challenges, coupled with the strong backing of a Fortune 500 company. Our parent company, W. R. Berkley Corporation, is one of the largest and best managed property/casualty insurers in the United States.</div>
Responsibilities:
<div>
The Berkley Accident &amp; Health <b>Marketing AI Enablement Intern</b> supports the A&amp;H team in areas of underwriting, claims analysis, compliance, program development and HR operations. This role is designed for students interested in insurance, risk management, healthcare benefits, or data analytics. The intern will gain hands-on experience working with specific department, learn real business data, industry processes, and contributing to team projects. Key functions will include but are not limited to:</div><ul><li>
Marketing- will support the development, enhancement, and modernization of marketing materials through the strategic use of Microsoft Copilot and other AI-enabled tools<ul><li>
Review and Assessment of Existing Marketing Materials</li><li>
Use of Copilot in Marketing Material Development</li><li>
Prompt Engineering for Marketing Content Creation</li><li>
Research &amp; Development of AI Research and Analysis Prompt</li></ul></li><li>
Collaboration: Work closely with cross-functional teams including underwriting, claims adjusters, and operations staff. Assist with special projects that enhance operation efficiency or improve customer experience.</li><li>
Learning &amp; Development: Participate in training sessions, team meetings, shadowing opportunities, and mentorship programs to build industry knowledge.</li></ul>
Qualifications:
<ul><li>High School Diploma. Currently pursuing a bachelor&rsquo;s degree in Business, Finance, Risk Management, Insurance, or related field.</li><li>
Strong analytical and problem-solving skills with the ability to work with data sets.</li><li>
Proficiency in Microsoft Office Suite, Excel and PowerPoint; familiarity with data tools (e.g., Power BI, SQL) is a plus.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work independently and in a team environment.</li><li>
High attention to detail and strong organizational skills.</li><li>
Interest in insurance, healthcare benefits, or risk management</li></ul>
Additional Company Details: The Company is an Equal Employment Opportunity Employer. Sponsorship Details: Sponsorship not Offered for this Role</div>

Intern- Marketing AI Enablement

Search 10000+ Data analytics intern jobs near you this March. New roles added regularly across leading industries. Apply today.