analytics intern

Universal Orlando Resort

<div><h3 class="jobSectionHeader"><b>Universal Destinations &amp; Experiences Internship Program:
</b></h3><ul><li><b>Applications Close: </b>June 26th, 2026, at 11:55PM ET. Submit your application as soon as possible &ndash; don&rsquo;t delay!</li>
<li><b>Spring 2027 Program Dates:</b> Approximately January 2027 &ndash; April 2027</li>
</ul>
<h3 class="jobSectionHeader"><br>
<b>JOB SUMMARY</b><b>:</b></h3>
<p>
The Data Scientist Intern will be part of UDX&rsquo;s Global Pricing Analytics team. The intern will train under the guidance of a data scientist in price optimization for admissions. The intern will learn end-to-end (systems, models, processes, and business) how admission prices are optimally generated and implemented.</p>
<h3 class="jobSectionHeader"><b>
MAJOR RESPONSIBILITIES:</b></h3>
<ul><li>Learns the process, systems, models, and business rules in the optimization of admissions pricing at Universal Destinations &amp; Experiences.</li>
<li>Prototypes models for forecasting demand and optimizing prices of admissions.</li>
<li>Creates forecasting models at the optimal level of disaggregation and fine-tunes regressors/parameters for optimal accuracy.</li>
<li>Creates optimization models in dynamic programming and fine-tunes parameters for generating actionable price recommendations.</li>
<li>Conducts data analysis and identifies pricing strategies to generate incremental revenue.</li>
<li>Constructs hypotheses to test pricing strategies and implements, measures, and reports on pricing tests.</li>
<li>Practices programming skills in Python, SQL; working with Tensorflow, Prophet, SciPy, NumPy libraries; working in AWS, Snowflake.</li>
<li>Understands and actively participates in Environmental, Health &amp; Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.</li>
<li>Performs other duties as assigned.</li>
</ul><h3 class="jobSectionHeader"><b>MINIMUM QUALIFICATIONS:</b></h3>
<ul><li>In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or graduate student.</li>
<li>Minimum cumulative 2.8 GPA is required.</li>
<li>A transcript is required upon application.</li>
</ul><h3 class="jobSectionHeader"><b>PREFERRED SKILLS &amp; KNOWLEDGE:
</b></h3><ul><li>Preferred majors include: Operations Research, Statistics, Data Science, or similar.</li>
<li>Preferred coursework completed: Linear Programming, Mixed-Integer Programming, Probability, Statistics, Machine Learning, or similar.</li>
<li>Preferred modeling skills in forecasting and optimization.</li>
<li>Familiarity with Revenue Management, Dynamic Programming, Price Elasticity of Demand, Tensorflow, Prophet, SciPy, NumPy, AWS, Azure, Snowflake, PowerBI, and/or Excel</li>
</ul><h3 class="jobSectionHeader"><b>Please note the following:</b></h3>
<ul><li>This internship will be an in-person experience, based in our Orlando offices.</li>
<li>Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.</li>
<li>Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.</li>
<li>All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.</li></ul><br>
<p><br>
Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.</p>
<p>
Universal Orlando Resort. <b>.</b></p><br>
<p>
Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM &amp; &copy; 2026 Universal Studios.</p></div>

Internship – Data Scientist, Global Pricing Analytics (Spring 2027)

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Intern/Trainee
<p></p><p><b>Job Description &amp; Summary
</b></p><p></p><div><p>We are opening applications for our <b>Summer Internship Program 2026 </b>, designed for students graduating in 2027. This program provides hands-on experience in the <b>Data Analytics practice </b>, with interns assigned to one of two specialized tracks: <b>Business Intelligence (BI) </b>or <b>Data Engineering </b>.
</p><p>Interns will work on real-world projects, learning how to transform data into insights, build scalable solutions, and support decision-making across diverse business contexts.
</p><div></div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><p>Depending on assigned track, interns will:
</p><ul><li><p><b>Business Intelligence </b>:
</p><ul><li><p>Assist in building dashboards and reports using BI tools.
</p></li><li><p>Support data visualization and storytelling for business stakeholders.
</p></li><li><p>Contribute to performance tracking and KPI analysis.
</p></li></ul></li><li><p><b>Data Engineering </b>:
</p><ul><li><p>Help design and maintain data pipelines.
</p></li><li><p>Support ETL processes and data integration.
</p></li><li><p>Work with cloud-based data platforms to ensure scalability and reliability.
</p></li></ul></li></ul><p>Across both tracks:
</p><ul><li><p>Collaborate with mentors and peers to deliver project outcomes.
</p></li><li><p>Participate in Agile ceremonies, knowledge-sharing sessions, and team stand-ups.
</p></li><li><p>Document learnings and contribute to continuous improvement initiatives.
</p></li></ul><div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><ul><li><p>Currently enrolled in a <b>Bachelor&rsquo;s program </b>(Computer Science, Engineering, Data Science, Business Informatics, or related fields).
</p></li><li><p>Expected graduation: <b>2027 </b>.
</p></li><li><p>Strong academic foundation in programming, databases, or analytics concepts.
</p></li><li><p>Familiarity with at least one of the following areas:
</p><ul><li><p>BI tools (Power BI, Tableau, Qlik)
</p></li><li><p>Data engineering tools (SQL, Python, Spark, Databricks)
</p></li></ul></li><li><p>Excellent communication and teamwork skills.
</p></li><li><p>Eagerness to learn and adapt in a fast-paced environment.
</p></li></ul><div>.
</div><div></div><h2 class="jobSectionHeader"><b>Program Details
</b></h2><ul><li><p><b>Duration: </b>2 months
</p></li><li><p><b>Location: </b>Cairo
</p></li></ul></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p><p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Summer Internship - Data Analytics

<div>
 <p>
  <strong>
   Line of Service
   <br/>
  </strong>
  Advisory
  <br/>
  <br/>
  <p>
   <strong>
    Industry/Sector
    <br/>
   </strong>
   Technology
   <br/>
   <br/>
   <p>
    <strong>
     Specialism
     <br/>
    </strong>
    Advisory - Other
    <br/>
    <br/>
    <p>
     <strong>
      Management Level
      <br/>
     </strong>
     Intern/Trainee
     <br/>
     <br/>
     <p>
      <strong>
       Job Description &amp; Summary
       <br/>
       <br/>
       <br/>
       <br/>
      </strong>
      <span>
       We are opening applications for our
       <strong>
        Summer Internship Program 2026
       </strong>
       , designed for students graduating in 2027. This program provides hands-on experience in the
       <strong>
        Data Analytics practice
       </strong>
       , with interns assigned to one of two specialized tracks:
       <strong>
        Business Intelligence (BI)
       </strong>
       or
       <strong>
        Data Engineering
       </strong>
       .
       <br/>
       <br/>
      </span>
      <span>
       Interns will work on real-world projects, learning how to transform data into insights, build scalable solutions, and support decision-making across diverse business contexts.
       <br/>
      </span>
      <strong>
       Key Responsibilities
       <br/>
      </strong>
      <span>
       Depending on assigned track, interns will:
       <br/>
       <br/>
      </span>
      <ul>
       <li>
        <span>
         <strong>
          <span>
           Business Intelligence
          </span>
         </strong>
         :
         <br/>
         <br/>
        </span>
        <ul>
         <li>
          <span>
           Assist in building dashboards and reports using BI tools.
           <br/>
          </span>
         </li>
         <li>
          <span>
           Support data visualization and storytelling for business stakeholders.
           <br/>
          </span>
         </li>
         <li>
          <span>
           Contribute to performance tracking and KPI analysis.
           <br/>
          </span>
         </li>
        </ul>
       </li>
       <li>
        <span>
         <strong>
          <span>
           Data Engineering
          </span>
         </strong>
         :
         <br/>
         <br/>
        </span>
        <ul>
         <li>
          <span>
           Help design and maintain data pipelines.
           <br/>
          </span>
         </li>
         <li>
          <span>
           Support ETL processes and data integration.
           <br/>
          </span>
         </li>
         <li>
          <span>
           Work with cloud-based data platforms to ensure scalability and reliability.
           <br/>
           <br/>
          </span>
         </li>
        </ul>
       </li>
      </ul>
      <span>
       Across both tracks:
       <br/>
       <br/>
      </span>
      <ul>
       <li>
        <span>
         Collaborate with mentors and peers to deliver project outcomes.
         <br/>
        </span>
       </li>
       <li>
        <span>
         Participate in Agile ceremonies, knowledge-sharing sessions, and team stand-ups.
         <br/>
        </span>
       </li>
       <li>
        <span>
         Document learnings and contribute to continuous improvement initiatives.
         <br/>
        </span>
       </li>
      </ul>
      <strong>
       Qualifications
      </strong>
      <ul>
       <li>
        <span>
         Currently enrolled in a
         <strong>
          Bachelor&rsquo;s program
         </strong>
         (Computer Science, Engineering, Data Science, Business Informatics, or related fields).
         <br/>
        </span>
       </li>
       <li>
        <span>
         Expected graduation:
         <strong>
          2027
         </strong>
         .
         <br/>
        </span>
       </li>
       <li>
        <span>
         Strong academic foundation in programming, databases, or analytics concepts.
         <br/>
        </span>
       </li>
       <li>
        <span>
         Familiarity with at least one of the following areas:
         <br/>
         <br/>
        </span>
        <ul>
         <li>
          <span>
           BI tools (Power BI, Tableau, Qlik)
           <br/>
          </span>
         </li>
         <li>
          <span>
           Data engineering tools (SQL, Python, Spark, Databricks)
           <br/>
          </span>
         </li>
        </ul>
       </li>
       <li>
        <span>
         Excellent communication and teamwork skills.
         <br/>
        </span>
       </li>
       <li>
        <span>
         Eagerness to learn and adapt in a fast-paced environment.
         <br/>
        </span>
       </li>
      </ul>
      <span>
       .
      </span>
      <strong>
       Program Details
      </strong>
      <ul>
       <li>
        <span>
         <strong>
          Duration:
         </strong>
         2 months
         <br/>
        </span>
       </li>
       <li>
        <span>
         <strong>
          Location:
         </strong>
         Cairo
         <br/>
         <br/>
        </span>
       </li>
      </ul>
      <p>
       <strong>
        Required Skills
        <br/>
        <br/>
       </strong>
       <p>
        <strong>
         Optional Skills
         <br/>
         <br/>
        </strong>
        <p>
         <strong>
          <span>
           Desired Languages
          </span>
         </strong>
         <em>
          <span>
           (If blank, desired languages not specified)
           <br/>
           <br/>
          </span>
         </em>
         <p>
          <strong>
           Travel Requirements
           <br/>
          </strong>
          Not Specified
          <br/>
          <br/>
          <p>
           <strong>
            Available for Work Visa Sponsorship?
            <br/>
           </strong>
           No
           <br/>
           <br/>
           <p>
            <strong>
             Government Clearance Required?
             <br/>
            </strong>
            No
            <br/>
            <br/>
            <p>
             <strong>
              Job Posting End Date
              <br/>
              <br/>
              <br/>
             </strong>
            </p>
           </p>
          </p>
         </p>
        </p>
       </p>
      </p>
     </p>
    </p>
   </p>
  </p>
 </p>
</div>


Goodwill Industries

<p></p><div><p>June 2026</p><div></div><div><div><div><div>
TITLE:</div><div> Data Analytics Intern (Mission Data &amp; Grants)</div></div><br>
<div><div>
RESPONSIBLE TO:</div><div> Senior Manager, Mission and Sustainability Data</div></div><br>
<div><div>
DIVISION/DEPT:</div><div> Date Center of Excellence</div></div><br>
<div><div>
SUPERVISES:</div><div> N/A</div></div><br>
<div><div>
FLSA STATUS:</div><div> Non-Exempt</div></div></div></div><p></p><div><b><br>
SUMMARY: </b>Summer internship starting in June 2026, ending August 2026. The position can be worked full-time (40 hours per week) or part-time (20 hours per week). This internship is fully remote, though applicants from the Washington, DC area will have the opportunity to work from the Goodwill Industries International (GII) headquarters in Rockville, Maryland if desired. This internship pays $18.00 per hour.</div><div></div><div><br>
This role will support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking. This intern will have the opportunity to work cross-functionally within GII and will gain experience in data documentation, analysis, dashboard development, and stakeholder engagement.</div><div></div><div><br>
Promising applicants will be able to demonstrate familiarity with data analysis and visualization by presenting a project that includes data cleaning, exploratory analysis, and visualization using tools such as Python, R, or Power BI from their academic or professional portfolio. Strong applicants will also demonstrate the ability to clearly document their analytical process, including how data is transformed, validated, and used to generate insights. Exceptional applicants will have experience working with both quantitative and qualitative data, such as survey results or interview feedback, and an ability to synthesize findings into clear, actionable insights for non-technical audiences.</div><p></p><p><b><br>
BASIC FUNCTION:</b></p><ul><li>
Create and maintain clear, standardized documentation of data processes, metric calculations, and reporting logic across multiple grant programs.</li><li>
Conduct exploratory data analysis to uncover insights beyond standard grant reporting, support data pipeline maintenance and Power BI dashboard updates, capture qualitative data from member organizations, and perform general research on industry benchmarks and peer organization practices.</li></ul><div><b>
SPECIFIC DUTIES</b><b>1</b><b>:</b></div><ul><li>
Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs.</li><li>
Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes.</li><li>
Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team.</li><li>
Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets.</li><li>
Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks.</li><li>
Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries.</li><li>
Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices.</li><li>
Support preparation of materials for internal and external stakeholder meetings as needed.</li></ul><p></p><div><b><br>
RELATIONSHIPS:</b></div><p><b>
Internal:</b> Daily contact with GII team members to coordinate projects and support activities.</p><div><b>
Local </b><b>Goodwills</b><b>:</b> Some contact with representatives of Goodwill member organizations.</div><div></div><div><div><b><br>
SKILLS NEEDED</b><b>:</b></div><ul><li>
Strong oral and written communication skills required.</li><li>
Excellent time management and organization skills.</li><li>
Familiarity with Power BI or Tableau preferred.</li><li>
Demonstrated use of Python or R for data analysis and visualization projects.</li><li>
Strong writing skills with an ability to translate technical processes into clear, accessible documentation.</li><li>
Comfort working with both quantitative and qualitative data.</li><li>
Attention to detail and a commitment to data quality and accuracy.</li></ul><p></p><div><div><div><div><b><br>
EDUCATION:</b></div></div><div><div><br>
Graduate students studying data science, public policy, economics, social sciences, or other related fields are preferred, but undergraduate students in relevant fields with strong analytical skills are also considered.</div></div></div><div><div><div><b><br>
EXPERIENCE:</b></div></div><div><br>
<ul><li>
Academic or professional experience completing data projects involving data processing, analysis, and visualization.</li><li>
Experience presenting technical subjects to non-technical audiences.</li><li>
Some familiarity with tools and software commonly used for data analysis and visualization, such as Power BI, Tableau, Excel, R, or Python.</li><li>
Experience with technical or process documentation is a plus.</li><li>
Exposure to qualitative research methods (e.g., surveys, interviews, thematic analysis) is a plus.</li></ul></div></div><div><div><div><b><br>
DECISION MAKING:</b></div></div><div><p><br>
Decision and recommendation-making for developing systems, appropriate responses to identified needs, and consultative guidance to improve performance.</p></div></div><div><div><p><b><br>
SUPERVISION:</b></p></div><div><p><br>
Moderate with latitude given to the position in carrying out work assignments. Work is checked for accuracy and completeness.</p></div></div><div><div><p><b><br>
PHYSICAL EFFORT:</b></p></div><div><p><br>
Sedentary with lifting 10 pounds maximum and occasionally lifting and/or carrying such articles or files. Walking and standing are required occasionally; long hours sitting at a desk and using a computer.</p></div></div></div></div><p></p><p><b><br>
OUR VALUES</b></p><p>
We believe <i>everyone deserves an opportunity to thrive</i>. Goodwill&rsquo;s mission grounds us and happens through each one of us. This aspiration applies to each GII team member as much as to the people we serve. GII&rsquo;s organizational values guide all that we do; how we do our work and make decisions, and how we interact with each other, Goodwill members and all stakeholders.</p><p><b>
Our mission happens through me (Passion</b><b><i>)</i></b></p><p>
We have a fire for our mission. We bring our energy, creativity and passion to all that we do. By contributing the best of what is within each of us, we inspire the same in our peers, and multiply Goodwill&rsquo;s impact.</p><p><b>
Drive to make a difference (Impact)</b></p><p>
We believe that our work must lead to a measurable difference in the lives of the people Goodwill serves. We are committed to performance excellence in all that we do. Our strategy focuses our work to achieve that impact, and we say no to things that do not align.</p><p><b>
You before me (Respect)</b></p><p>
We treat all people with dignity, kindness, appreciation and respect. We are curious without judgment, and we actively listen to ensure mutual understanding. We give everyone a caring and safe place to share their opinions, their talents, and their questions. We build trust through direct, clear and transparent communication. We are open and humble.</p><p><b>
Thriving begins at home (Well-being)</b></p><p>
We respect the contributions and the needs of our individual team members equally, and we understand that each one of us needs different things at different times to thrive both in and out of the workplace. We strive to make genuine and continuous investments in one another and ourselves. As such, we adopt healthy, holistic approaches to our work. We proactively care for one another and ourselves by speaking up for what we need and supporting one another in achieving it.</p><p><b>
Out of many, One Goodwill </b><b><i>(Advancing our mission together)</i></b></p><p>
We embrace all people and perspectives as we advance Goodwill&rsquo;s mission to help people reach their full potential through the power of work. We acknowledge historical inequities still exist and are intentional in breaking barriers. We are committed to being part of the solutions, leaning into courageous conversations, and providing inclusive spaces and equal opportunities for real change in all of our endeavors. Our diversified reflection shall shine as <i>one</i> Goodwill.</p><p><b>
Be bold, learn and grow (Agility)</b></p><p>
We are open, creative, innovative, agile and willing to take risks. We operate with a sense of urgency, without rushing for the sake of speed. While we do our best to make good decisions, we embrace failure for the learning it affords and adapt quickly to move ahead. We are one unified team that succeeds and stumbles, and learns and grows together with humility and grace.</p></div>

Intern, Data Analytics-Mission Data & Grants

Inovio Pharmaceuticals

<div><p><b>About INOVIO</b></p><p>
INOVIO is a biotechnology company focused on developing and commercializing DNA medicines to help treat and protect people from HPV-related diseases, cancer, and infectious diseases. INOVIO&rsquo;s technology optimizes the design and delivery of innovative DNA medicines that teach the body to manufacture its own disease-fighting tools. For more information, visit www.inovio.com.</p><p><b>
Job summary</b></p><p>
The Quality Data Science Intern will support INOVIO&rsquo;s Quality Metrics, Manufacturing Metrics, and Management Review automation project by helping organize data sources, build Power BI dashboards, establish data relationships, and improve the structure of data collection for quality, manufacturing, and production-environment metrics.</p><p>
This role will work cross-functionally with Quality, Manufacturing, Engineering, and other data owners to transform manually collected Excel-based data and system exports into more reliable, scalable, and automated reporting tools. The intern will help connect and structure data from sources such as Excel spreadsheets, MasterControl reports/exports, Microsoft Dynamics AXP or other operational systems, and databases to support Power BI dashboards and trend analysis.</p><p>
The successful candidate should be technically capable, data-driven, detail-oriented, and comfortable working with incomplete or inconsistent data sets. This position is well suited for a student or early-career candidate with experience or coursework in data analytics, data science, information systems, industrial engineering, statistics, computer science, or a related technical field.</p><p><b>
Essential job functions and duties</b></p><ul><li>
Work with Quality, Manufacturing, and other data owners to understand current KPI and metric reporting needs, source data, data definitions, and reporting gaps.</li><li>
Support development of Power BI dashboards for quality, manufacturing, supplier, equipment, audit, training, complaint, and production-environment metrics.</li><li>
Establish and maintain data relationships between Excel files, MasterControl exports or reports, Microsoft Dynamics AXP or other operational system data, databases, and Power BI datasets.</li><li>
Assist with mapping data fields from source systems to dashboard requirements, including KPI name, definition, calculation logic, data source, owner, reporting cadence, filters, and visualization needs.</li><li>
Clean, organize, validate, and transform data to support accurate and reliable Power BI reporting.</li><li>
Create repeatable data import, transformation, and refresh processes to reduce manual Excel work and improve reporting consistency.</li><li>
Support baseline and threshold analysis by organizing historical data and preparing datasets for statistical evaluation.</li><li>
Help identify data integrity issues, missing fields, inconsistent naming conventions, duplicate records, and opportunities to improve data collection templates or database structure.</li><li>
Collaborate with Quality and Manufacturing team members to ensure dashboards are practical, understandable, and aligned with business and compliance needs.</li><li>
Support other quality metrics, data analytics, dashboarding, and process improvement activities as assigned.</li></ul><p><b>
Minimum requirements</b></p><ul><li>
Current enrollment in, or recent completion of, a bachelor&rsquo;s or master&rsquo;s degree program in Data Science, Computer Science, Information Systems, Statistics, Engineering, Industrial Engineering, Biomedical Engineering, Business Analytics, or a related technical discipline.</li><li>
Experience with Power BI, including creation of charts, dashboards, data models, relationships, slicers, and visual reports.</li><li>
Strong Microsoft Excel skills, including formulas, tables, pivot tables, data cleanup, and structured datasets.</li><li>
Basic understanding of relational data concepts, including tables, keys, relationships, joins, and data normalization.</li><li>
Ability to work with multiple data sources and organize inconsistent or incomplete data into usable reporting structures.</li><li>
Strong attention to detail and ability to identify data quality issues.</li><li>
Ability to communicate clearly with technical and non-technical data owners.</li><li>
Ability to work independently on assigned tasks while seeking guidance when source data, requirements, and/or assumptions are unclear.</li><li>
Strong written and verbal communication skills.</li></ul><p><b>
Preferred requirements</b></p><ul><li>
Experience with Power Query, DAX, SQL, Microsoft Access, SharePoint Lists, Dataverse, or other database/data transformation tools.</li><li>
Experience connecting Power BI to Excel, SharePoint, databases, exported system reports, or enterprise applications.</li><li>
Experience with Microsoft Dynamics AXP or similar ERP/manufacturing data systems is desired but not required.</li><li>
Familiarity with MasterControl, eQMS systems, manufacturing systems, environmental monitoring systems, or similar regulated-data platforms.</li><li>
Coursework or experience in statistics, SPC, process monitoring, control charts, Pareto analysis, regression, or data visualization.</li><li>
Experience building dashboards for manufacturing, quality, operations, laboratory, or regulated-industry data.</li><li>
Familiarity with medical device, biotechnology, pharmaceutical, or other regulated environments.</li></ul></div><p></p>

Data Scientist Intern

AverIQ

<p>We are seeking a high-energy <b>Sales Interns for </b>IT and technology solutions in the North America market.</p><p>This role requires selling skills and understanding of IT services.</p><p><b>Key Responsibilities</b></p><ul><li>Identify, research, and generate new business opportunities in the US market</li><li>Conduct outbound prospecting via cold calling, email campaigns, LinkedIn outreach, and networking</li><li>Qualify inbound and outbound leads and schedule discovery meetings</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Fresher to 6 momths of inside sales experience in IT services, SaaS, or technology solutions</li><li>Strong understanding of IT services such as: Cybersecurity / Data Analytics / AI / Managed IT Services</li><li>Excellent communication and presentation skills</li></ul><p>Job Types: Contract, Commission<br/>Contract length: 6 months</p><p>People with a criminal record are encouraged to apply</p><p>Application Question(s):</p><ul><li>Understanding of IT/ AI / Data  products </li></ul><p>Work Location: Remote</p>

Sales Intern - Tech/ AI / Data

CereProds LLC

<p><b>Job Summary</b><br/>We are seeking a dynamic and creative Social Media Content Creator Intern to join our vibrant marketing team! This paid internship offers an exciting opportunity to develop your skills in digital marketing, content creation, and social media management while contributing to brand growth. As a key player in our digital presence, you will craft engaging content across various platforms, analyze audience engagement, and support innovative campaigns that resonate with our target audience. If you&rsquo;re passionate about storytelling, visual design, and social media trends, this is your chance to make a real impact while gaining invaluable industry experience.</p><p><b>Duties</b></p><ul><li>Develop and produce compelling visual and written content for social media channels including Instagram, Facebook, TikTok &amp; Youtube.</li><li>Assist in planning and executing social media campaigns that align with brand goals and marketing strategies.</li><li>Use Adobe Photoshop, Adobe Illustrator, and Adobe Creative Suite tools to create eye-catching graphics and multimedia content.</li><li>Schedule posts using social media management tools to ensure consistent publishing.</li><li>Engage with followers by responding to comments and messages to foster community relationships.</li><li>Analyze web analytics and social media metrics using Google Analytics and platform insights to optimize content performance.</li><li>Support in keyword research for SEO purposes to enhance content visibility across search engines.</li><li>Assist in managing paid advertising campaigns on Facebook Ads and other platforms to boost reach.</li></ul><p><b>Skills</b></p><ul><li>Proficiency in graphic design software including Adobe Photoshop, Adobe Illustrator, and Adobe Creative Suite.</li><li>Strong understanding of social media management tools.</li><li>Knowledge of SEO principles, keyword research, and web analytics tools like Google Analytics.</li><li>Interest in video editing and photography to create engaging multimedia content.</li><li>Familiarity with social listening tools for monitoring brand reputation and industry trends.</li><li>Excellent proofreading skills with attention to detail for error-free content creation.</li><li>Strong communication skills for effective relationship management across teams and audiences.</li><li>Understanding of digital marketing strategies including branding, social media marketing, public relations, and e-commerce promotion. Join us as a Social Media Content Creator Intern &mdash; where your creativity fuels our brand&rsquo;s story!</li></ul><p>Work Location: Hybrid remote in Guaynabo, PR 00969</p>

Social Media Content Creator Intern

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