analytics intern

BeOne Medicines

<div><div>BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.</div><div></div><div>
Internship program dates: June 8 - August 21, 2026</div><div></div><div>
Education Required: Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Industrial/Organizational Psychology, HR Analytics, Business Analytics, or related field</div><div></div><div>
General Description:</div><div>
The AI &amp; People Analytics Intern will support the transformation of survey data into actionable, predictive insights that inform strategic talent decisions. This role combines statistical analysis, AI-enabled modeling, and executive-level storytelling to strengthen data-driven decision-making into 2030.</div><div></div><div>
The intern will work on employee engagement, performance, retention, and organizational effectiveness datasets to develop predictive models and compelling business narratives. Support the 2030 HR Project.</div><div></div><div>
Essential Functions of the Job:</div><ul><li>
Analyze employee survey data (engagement, pulse, lifecycle, onboarding, exit) using statistical and AI-based methods</li><li>
Clean, structure, and validate datasets to ensure analytical integrity</li><li>
Build predictive models (e.g., attrition risk, engagement drivers, performance correlations)</li><li>
Conduct driver analyses and segmentation to identify actionable insights</li><li>
Translate quantitative findings into executive-ready dashboards and business narratives</li><li>
Support the development of data visualizations using tools such as Power BI, Tableau, or similar platforms</li><li>
Support automation of recurring reporting through AI tools and workflow optimization</li><li>
Present findings to HR and business stakeholders with clear, strategic recommendations</li></ul><div></div><div>
Supervisory Responsibilities:</div><ul><li>
N/A</li></ul><div></div><div>
Computer Skills:</div><ul><li>
Exposure to AI/ML modeling frameworks</li><li>
Experience working with survey platforms (e.g., Qualtrics, Glint, CultureAmp)</li><li>
Strong proficiency in MS Products (e.g., Excel, Co-Pilot)</li><li>
Familiarity with data visualization tools (Power BI, Tableau, etc.)</li></ul><div></div><div>
Other Qualifications:</div><ul><li>
Understanding of statistical concepts (regression, correlation, predictive modeling)</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to translate complex data into clear business insights</li><li>
High attention to detail and data integrity</li></ul><div></div><div>
Travel: N/A</div><div></div><div>
Pay Rates:</div><div>
Bachelors: $27/hour USD</div><div>
Masters: $30/hour USD</div><div></div><div>
Global Competencies</div><div>
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.</div><ul><li>
Fosters Teamwork</li><li>
Provides and Solicits Honest and Actionable Feedback</li><li>
Self-Awareness</li><li>
Acts Inclusively</li><li>
Demonstrates Initiative</li><li>
Entrepreneurial Mindset</li><li>
Continuous Learning</li><li>
Embraces Change</li><li>
Results-Oriented</li><li>
Analytical Thinking/Data Analysis</li><li>
Financial Excellence</li><li>
Communicates with Clarity</li></ul><div></div>
Salary Range: $ - $ per hour<div>
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.</div><div></div><div>
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact <div>accommodationsus@beonemed.com</div>.</div></div><div></div>

Summer Internship: AI & People Analytics Intern (Remote)

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

Viatris

<div>Mylan Inc.<div></div><div>
At VIATRIS, we see healthcare not as it is but as it should be. We act courageously and are uniquely positioned to be a source of stability in a world of evolving healthcare needs.<br>
<br>
Viatris empowers people worldwide to live healthier at every stage of life.<br>
<br>
We do so via:</div><ul><li><div><i>
Access </i>&ndash; Providing high quality trusted medicines regardless of geography or circumstance;</div></li><li><div><i>
Leadership</i> &ndash; Advancing sustainable operations and innovative solutions to improve patient health; and</div></li><li><div><i>
Partnership</i> &ndash; Leveraging our collective expertise to connect people to products and services.</div></li></ul><div></div><div>
Every day, we rise to the challenge to make a difference and here&rsquo;s how the Intern, IT Analytics role will make an impact:</div><div></div><div>
Key responsibilities for this role include:</div><ul><li><div>
Assist in building, testing, and maintaining data pipelines using Azure data services.</div></li><li><div>
Support data ingestion, transformation, and validation processes.</div></li><li><div>
Help create dashboards and reports using tools such as Power BI.</div></li><li><div>
Perform basic data analysis to identify trends, patterns, and insights.</div></li><li><div>
Collaborate with data engineers, analysts, and business stakeholders.</div></li><li><div>
Document data models, processes, and technical workflows.</div></li><li><div>
Support data quality checks and troubleshooting activities.</div></li></ul><div></div><div>
The minimum qualifications for this role are:</div><ul><li><div>
Currently pursuing a Master's Degree in: Computer Science, Data Science, Information Systems, Engineering, or related field / Min CGPA of 3.0 or above</div></li><li><div>
Basic understanding of: SQL and relational databases and data analytics concepts and ETL processes.</div></li><li><div>
Familiarity with cloud platforms (Azure preferred)</div></li><li><div>
Strong analytical and problem-solving skills</div></li><li><div>
Good communication and teamwork abilities</div></li></ul><div></div><div>
Nice-to-Have Skills</div><ul><li><div>
Exposure to Azure services such as: Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake</div></li><li><div>
Basic knowledge of Python or R</div></li><li><div>
Experience with Power BI or similar visualization tools</div></li><li><div>
Understanding of data warehousing concepts</div></li><li><div>
Basic understanding of AI</div></li></ul><div></div><div>
Exact compensation may vary based on skills, experience, and location. The salary range for this position is: If Pursing Bachelors = $20 hour, If Pursing Masters = $25 hour, If Pursing Doctorate = $30 hour.</div><div></div><div>
At Viatris, we offer competitive salaries, benefits and an inclusive environment where you can use your experiences, perspectives and skills to help make an impact on the lives of others.</div><div></div><div>
Viatris is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, gender expression, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div>
#LI-Remote</div>

Intern, IT Analytics

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
 <br/>
 <br/>
 Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
 <br/>
 <br/>
 You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
 <br/>
 <br/>
 You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
  </li>
  <li>
   Availability for a full-time internship of 12 weeks
  </li>
  <li>
   Strong interest in applying machine learning and statistical analysis to solve real-world problems
  </li>
  <li>
   Foundational experience in Python (preferred) or R for data analysis and model prototyping
  </li>
  <li>
   Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
  </li>
  <li>
   Basic understanding of data wrangling, visualization, and exploratory analysis
  </li>
  <li>
   Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
  </li>
  <li>
   Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
  </li>
 </ul>
</div>


Data Scientist Intern - QuantumBlack, AI by McKinsey

Weekday AI (YC W21)

<div>
 <strong>
  This role is for one of the Weekday's clients
  <br/>
  <br/>
 </strong>
 Min Experience: 0 years
 <br/>
 <br/>
 Location: Gurgaon
 <br/>
 <br/>
 JobType: full-time
 <br/>
 <br/>
 We are looking for a highly motivated Data Analyst Intern to join our dynamic and fast-growing team. This onsite internship in Gurugram offers an exciting opportunity to work at the intersection of data, content, and commerce within the creator ecosystem. In this role, you will work closely with product, marketing, and growth teams to transform raw data into actionable insights that drive campaign performance, creator growth, and business impact.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Data Extraction &amp; Management
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  <br/>
 </strong>
 <ul>
  <li>
   Write optimized SQL queries to extract and manipulate data from relational databases
  </li>
  <li>
   Work with MongoDB to handle and analyze unstructured and semi-structured data
  </li>
  <li>
   Clean, validate, and preprocess large datasets to ensure data accuracy and consistency
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   <br/>
  </li>
 </ul>
 <strong>
  Data Analysis &amp; Insights
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  <br/>
 </strong>
 <ul>
  <li>
   Use Python (Pandas, NumPy) to analyze creator performance metrics, engagement rates, conversion funnels, and campaign ROI
  </li>
  <li>
   Identify trends, patterns, and growth opportunities within the creator and brand ecosystem
  </li>
  <li>
   Apply statistical reasoning to interpret data and support decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Visualization &amp; Reporting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain interactive dashboards using Tableau or Power BI
  </li>
  <li>
   Present key metrics and insights to product and marketing teams in a clear and actionable format
  </li>
  <li>
   Assist in preparing weekly and monthly performance reports for internal stakeholders and brand partners
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tracking &amp; Attribution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Monitor user behavior and event-based tracking using tools such as Mixpanel and Google Analytics
  </li>
  <li>
   Analyze user journeys to identify drop-offs and opportunities to improve engagement and conversions
  </li>
  <li>
   Support data-driven experimentation and performance measurement initiatives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes You a Great Fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field
  </li>
  <li>
   Strong proficiency in SQL, MongoDB, and Python
  </li>
  <li>
   Hands-on experience (academic or project-based) with Tableau or Power BI
  </li>
  <li>
   Basic understanding of NoSQL databases, particularly MongoDB
  </li>
  <li>
   Familiarity with analytics tools such as Mixpanel, Google Analytics, Clevertap, or similar platforms is a plus
  </li>
  <li>
   Solid grasp of statistical concepts and a strong analytical mindset
  </li>
  <li>
   Ability to translate complex datasets into simple, compelling insights
  </li>
  <li>
   Strong communication and presentation skills
  </li>
  <li>
   Self-motivated, curious, and comfortable working in a fast-paced, evolving environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Skills
  <br/>
  <br/>
 </strong>
 SQL, MongoDB and Python Tableau or Power BI. Mixpanel, Google Analytics, Clevertap
</div>


Data Analyst Intern

Aykays

<p><b>AI-Powered SEO Analyst Intern</b></p><p><b>Company Name: </b>Aykays Agency<br/><b>Website:</b> www.aykays.com<br/><b>Location: </b>Gulshan-e-Iqbal<br/><b>Indeed: </b>https://pk.indeed.com/cmp/Aykays-1<br/><b>LinkedIn:</b> https://www.linkedin.com/company/aykays<br/><b>Facebook:</b> https://www.facebook.com/AykaysAgency/<br/><b>Timings: </b>Monday to Saturday, 9:00 AM to 5:00 PM<br/><b>Duration: </b>2, Months<br/><b>Note:</b> This Internship is Unpaid.</p><p><b>About Aykays</b></p><p>We are a forward-thinking digital growth team that combines human creativity with cutting-edge AI tools to drive next-level search engine visibility. Our approach blends classic SEO strategies with AI-driven research, optimization, and content creation&mdash;helping brands dominate their niche in record time.</p><p><b>Program Overview</b></p><p>This internship is designed for individuals who want to learn SEO the <i>AI-first</i> way&mdash;leveraging tools like ChatGPT, Claude, Gemini, SurferSEO, Clearscope, and other automation platforms to achieve faster, smarter results. By the end of the program, you&rsquo;ll have hands-on experience in AI-powered keyword research, technical optimization, and content strategy.</p><p><b>Key Responsibilities</b></p><ul><li>Conduct AI-assisted <b>keyword research</b> and competitor analysis.</li><li>Use AI tools to generate and optimize SEO content outlines, metadata, and blog drafts.</li><li>Assist in <b>on-page SEO</b> tasks, including internal linking, schema markup, and content updates.</li><li>Support <b>technical SEO</b> audits with AI-powered insights.</li><li>Learn how to use <b>generative AI</b> for SEO A/B testing, CTR optimization, and featured snippet targeting.</li><li>Monitor rankings, traffic, and user behavior using analytics and AI-driven dashboards.</li><li>Collaborate with the marketing team to execute <b>AI-enhanced link-building campaigns</b>.</li></ul><p><b>What You&rsquo;ll Learn</b></p><ul><li>How AI can speed up and improve <b>SEO decision-making</b>.</li><li>Hands-on experience with top <b>AI SEO tools</b> (SurferSEO, Frase, Jasper, SEMrush AI, etc.).</li><li>Advanced <b>content optimization techniques</b> for Google&rsquo;s latest algorithms.</li><li>AI-assisted <b>technical SEO troubleshooting</b>.</li><li>How to build an <b>SEO workflow that runs 3&ndash;5x faster</b> using automation.</li></ul><p><b>Qualifications</b></p><ul><li>Strong interest in SEO, digital marketing, or content strategy.</li><li>Basic understanding of search engines, keywords, and content optimization.</li><li>Comfortable experimenting with AI tools like ChatGPT, Gemini, or similar.</li><li>Good written communication skills.</li><li>Self-motivated, curious, and eager to learn quickly.</li></ul><p><b>Perks &amp; Benefits</b></p><ul><li><b>Verified Internship Certificate with Unique QR Code</b> Each intern receives a QR-enabled certificate linked to their verified profile on the Aykays website</li></ul><ul><li><b>Live Professional Portfolio on Aykays Platform</b> Intern profiles are showcased on our official website with complete project details</li></ul><ul><li><b>Real-World Digital Verification</b> Profiles can be shared on CVs, LinkedIn, Indeed, and directly verified by recruiters</li></ul><ul><li><b>Hands-on Experience with AI-Powered Marketing Tools</b></li></ul><ul><li><b>Mentorship from Industry Professionals</b></li></ul><ul><li>Strong advantage for job placements, freelancing, and future career opportunities</li></ul><p><i><b>This is not just an internship &mdash; it&rsquo;s a verified digital identity.</b></i></p><p><b>How to Apply</b></p><ul><li>Apply directly via <b>Indeed</b></li></ul><ul><li>Or send your resume on <b>WhatsApp: 0317-2066080</b> <i>(Please mention the position name in your message)</i></li></ul><p>Job Types: Full-time, Internship, Fresher<br/>Contract length: 8 weeks</p><p>Pay: From Rs5,000.00 per year</p><p>Work Location: In person</p>

AI-Powered SEO Analyst Intern

PakWheels

<div><p>As a Data Research Intern at PakWheels.com, you&rsquo;ll be responsible for managing and analyzing automobile-related data to drive insights, while working with a cross-functional team consisting of marketing specialists, research analysts, and software engineers.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Understanding of automobile models, manufacturers, and segmentations (e.g., electric vehicles,luxury cars, SUVs).</li>
<li>Awareness of key factors affecting the automobile market, such as demand patterns, regulatory developments, and emerging trends (e.g., EV adoption).</li>
<li>Ability to gather, analyze, and interpret data from multiple sources, including industry reports,competitor analysis, and customer behavior.</li>
<li>Conduct in-depth research to support pricing strategies and market positioning</li>
</ul>
<p><b>Qualifications:</b></p>
<ul><li>Bachelor&rsquo;s degree in Business Administration, Data Analytics, Marketing or a related field</li>
<li>Knowledge of the automobile industry, including trends, customer preferences, and market dynamics, is a plus.</li>
<li>Strong organizational and multitasking abilities.</li>
<li>Curiosity and a growth mindset to stay updated on industry trends and tools.</li>
<li>Strong analytical and critical thinking skills to translate data into actionable insights.</li>
</ul>
<p>At PakWheels, we take pride in fostering a dynamic and innovative workplace culture that values collaboration and growth. Since 2003, PakWheels.com has transformed the automobile industry in Pakistan, helping millions of Pakistanis buy, sell, and maintain their vehicles. By joining PakWheels, you'll be part of a mission to revolutionize the automobile landscape. Our environment thrives on creativity, teamwork, and forward-thinking ideas.</p></div>

Data Research Intern

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