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Internship Data Analytics Graduate Jobs in Raleigh, NC

Duke University

DATABASE ANALYST I

Durham, NC · On-site

Serve as a technical resource for Graduate School staff, academic programs, and university ... Data Reporting & Analytics (35%) * Develop and maintain parameter-driven reports and queries within ...

Duke University

DATABASE ANALYST I

Durham, NC

Serve as a technical resource for Graduate School staff, academic programs, and university ... Data Reporting & Analytics (35%) * Develop and maintain parameter-driven reports and queries within ...

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Internship Data Analytics Graduate information

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$11

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$40

How much do internship data analytics graduate jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for internship data analytics graduate in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is an Internship Data Analytics Graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during a Data Analytics Graduate Internship?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an Internship Data Analytics Graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

What is the difference between Internship Data Analytics Graduate vs Data Analyst?

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Raleigh, NC? The most popular types of Data Analytics Graduate jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Data Analytics Graduate jobs? Cities near Raleigh, NC with the most Internship Data Analytics Graduate job openings:
Internship Data Analytics Graduate jobs near you

Practice Area Leader, Data, AI & Analytics Strategy

Syneos Health/ inVentiv Health Commercial LLC

Morrisville, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

37th of 86 rated pharmaceutical

Job description

Description

The Practice Leader, Data, AI & Analytics Strategy is responsible for setting the vision, direction, and commercial success of the firm's Data & Analytics consulting capability. This leader oversees a portfolio of client engagements and a multi level team, ensuring data, analytics and AI are used to solve real, near term pharma client problems.
The Practice Leader shapes how data strategy is developed, how complex data is interpreted, and how insights are translated into business decisions across the entire consulting business.
The role combines strategic leadership, commercial accountability, and hands on client engagement, and is accountable for practice growth, talent development, delivery quality, and cross functional partnership.
Core Responsibilities
Practice Strategy & Direction
  • Define and evolve the Data, AI & Analytics consulting strategy aligned to client demand and enterprise priorities
  • Establish a clear point of view on:
    • How data and analytics should be used to address pharma client questions
    • Where analytics creates value now
  • Ensure the practice remains client led, insight driven, and commercially grounded
  • Translate business problems into scalable and repeatable AI solutions
Client Advisory & Thought Partnership
  • Serve as a senior trusted advisor to pharma and biotech clients
  • Guide clients in:
    • Framing business problems solvable through data and analytics
    • Understanding what data is available and how best to use it
    • Interpreting complex, imperfect datasets to drive decisions
  • Maintain close proximity to client teams-credible in their language, pressures, and timelines
  • Balance strategic perspective with practical, actionable recommendations
Commercial Growth & Market Impact
  • Own practice level growth, pipeline contribution, and sales targets
  • Lead and support opportunity shaping, proposal development and analytical storytelling in client pitches
  • Support a quick and repeatable selling cycle, focused on:
    • Immediate client needs
    • Tangible analytics use cases
    • Pragmatic solutions with clear ROI
  • Partner closely with Consulting and Commercial leadership to expand accounts and build durable analytics led revenue streams
Delivery Excellence & Analytics Leadership
  • Ensure delivery teams leverage analytics effectively to:
    • Answer client questions
    • Generate insight, not just outputs
    • Inform recommendations and decisions
  • Guide complex analytics efforts focused on:
    • Data synthesis
    • Interpretation across sources
    • Insight development -not technology platform construction
  • Ensure consistently high quality, defensible, and decision ready client deliverables
People Leadership & Capability Building
  • Lead, develop, and retain a multi layered analytics and consulting team, including Directors, MDs, Managers, and individual contributors
  • Build a scalable, high impact practice team across architecture, data science, and consulting embedded in real client work
  • Foster collaboration across Consulting, Technology, Commercial, and Clinical partners
  • Build a strong culture of ownership, pragmatism, and teamwork
Ideal Background & Experience
  • MBA or a graduate degree in a life sciences field
  • Known authority in the market in a particular industry function or domain; able to leverage external network to improve profitable revenues and market positioning
  • A strong history of successfully selling, delivering and growing revenues
  • Demonstrated new business experience, from organic growth to RFI/RFP planning, development, and execution
  • Demonstrated competency in building high performing, customer-focused teams
  • Financial acumen in business planning and forecasting
  • 12-15+ years of experience in life sciences consulting, strategy, and/or analytics
  • Experience leveraging AI in support of data strategy, advanced analytics, and decision driven problem solving
  • Proven track record of:
    • Leading consulting practices or large capability areas
    • Driving commercial growth through client led analytics work
    • Managing and developing senior consulting leaders
  • Deep understanding of pharma and life science industry
  • Strong ability to connect data strategy to client decision making
  • Demonstrated success operating in mid size consulting environments where leaders must balance strategy, sales, and delivery

What Success Looks Like

  • A well defined, respected Data & Analytics consulting practice with clear market relevance
  • Strong, sustained analytics led revenue growth
  • Clients view the firm as a go to partner for applied, decision driven analytics
  • Data strategy is seen as a core enabler of Consulting impact, not a parallel technical function

The annual base salary for this position ranges from $X to $Y. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. In addition, some positions may include eligibility to earn commissions/bonus based on company and / or individual performance.

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn't align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Why Syneos Health? Here, you're a part of the big picture. You will collaborate with colleagues across clinical and commercial disciplines to guide premarket development through post-market commercial strategy. Every project is a chance to solve a new challenge, learn from your colleagues, and advance your career. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients' lives around the world.

Work Here Matters Everywhere | How are you inspired to change lives?

Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position will include a competitive compensation package, Health benefits to include Medical, Dental and Vision, Company match 401k, flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos Health complies with all applicable federal, state, and municipal paid sick time requirements.

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