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Entry Level Data Visualization Tableau Jobs in Raleigh, NC

Support SQL, Tableau, and analytics skills training. * Share dashboard and visualization best ... Data Storytelling * Compliance Reporting. Job Details: * Job Type: Contract * Pay Range: $75-$82 an ...

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

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Entry Level Data Visualization Tableau information

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How much do entry level data visualization tableau jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level data visualization tableau in Raleigh, NC is $106,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $119,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Visualization Tableau professional, and why are they important?

To thrive as an Entry Level Data Visualization Tableau professional, you need a solid understanding of data analysis, basic statistics, and proficiency in Tableau, often supported by a degree in a related field such as computer science, statistics, or business. Familiarity with Tableau Desktop, SQL, and Microsoft Excel, along with completion of Tableau certification courses, is highly advantageous. Strong attention to detail, effective communication, and problem-solving abilities help you translate data into actionable insights for stakeholders. These skills are crucial for creating clear, impactful visualizations that drive data-informed decisions within organizations.

What are some common challenges faced by entry-level data visualization professionals using Tableau, and how can they overcome them?

Entry-level data visualization specialists working with Tableau often encounter challenges such as understanding data structures, ensuring data quality, and effectively communicating insights through visualizations. Navigating Tableau’s advanced features and optimizing dashboard performance can also be daunting for newcomers. To overcome these obstacles, it's helpful to invest time in learning best practices for data preparation, seeking feedback from more experienced team members, and utilizing Tableau’s extensive online resources and community forums. Regularly practicing with real datasets and collaborating with analysts or business stakeholders will also build confidence and proficiency.

What are entry level data visualization Tableau jobs?

Entry level data visualization Tableau jobs are positions for individuals who are new to the data analytics field and specialize in creating visual representations of data using Tableau software. These roles typically involve tasks such as preparing data, building interactive dashboards, and generating reports to help organizations make data-driven decisions. Candidates are expected to have basic knowledge of Tableau, some experience working with datasets, and good communication skills to translate complex data into understandable visuals. Entry level positions may include titles like Tableau Developer, Data Visualization Analyst, or Business Intelligence Intern. These roles offer a pathway to more advanced analytics and business intelligence careers.
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What cities near Raleigh, NC are hiring for Entry Level Data Visualization Tableau jobs? Cities near Raleigh, NC with the most Entry Level Data Visualization Tableau job openings:
Data Science / Analytics Intern - Technology Solutions

Data Science / Analytics Intern - Technology Solutions

Syneoshealth

Morrisville, NC

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Syneos Health rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

18th of 70 rated pharmaceutical


Job description

Data Science / Analytics Intern - Technology Solutions

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering-for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Job Title:

Data Science / Analytics Intern - Technology Solutions

Business Unit:

Technology & Data Solutions

Duration:

Summer Internship (10-12 weeks)

Job Summary

The Data Science / Analytics Intern will support the Technology & Data Solutions organization in delivering advanced analytics, data-driven insights, and innovative technology solutions that accelerate business impact.

This role offers hands-on experience across the data and analytics lifecycle, including data preparation, model development support, visualization, and insight generation. The intern will work closely with data scientists, engineers, and product teams to support real-world use cases that drive decision-making and operational efficiency.

Consistent with the function's mission, this work contributes to delivering impactful, scalable technology and data solutions that enable better outcomes for internal stakeholders and customers.

Key Responsibilities
  • Support data science and analytics projects across the full lifecycle, including data gathering, cleaning, and exploratory analysis
  • Assist in developing and testing predictive or descriptive models under the guidance of senior team members
  • Analyze data sets to identify trends, patterns, and actionable insights
  • Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
  • Partner with cross-functional teams (engineering, product, business teams) to understand requirements and translate them into analytical approaches
  • Contribute to documentation of data workflows, methodologies, and results
  • Perform testing, validation, and quality checks on data and analytical outputs
  • Present findings and recommendations to team members and leadership

(Aligned with existing expectations such as collaborating with development teams, analyzing results, and presenting findings to meet business needs)

QualificationsEducation
  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
Technical Skills
  • Exposure to programming languages such as Python or R
  • Foundational knowledge of SQL and data querying
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) or visualization tools (e.g., Power BI, Tableau)
  • Understanding of statistical concepts and basic machine learning techniques preferred
Core Competencies
  • Strong analytical and problem-solving skills
  • Curiosity and a desire to work with complex datasets
  • Ability to communicate insights clearly and effectively
  • Attention to detail and commitment to high-quality outputs
  • Collaborative mindset with the ability to work in a team environment

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 may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and 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 complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

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.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.


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