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Data Science Visualization Jobs in Elkin, NC (NOW HIRING)

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Data Science Visualization information

See Elkin, NC salary details

$49.9K

$101.2K

$149.3K

How much do data science visualization jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data science visualization in Elkin, NC is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $113,700.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What cities near Elkin, NC are hiring for Data Science Visualization jobs? Cities near Elkin, NC with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Data Visualization Specialist, North American Disaster Relief

Data Visualization Specialist, North American Disaster Relief

Samaritan's Purse

North Wilkesboro, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Samaritan's Purse is seeking a Data Visualization Specialist to join their North American Disaster Relief team. This role involves the collection and analysis of data to support disaster response efforts, as well as the development of reports and dashboards to enhance program effectiveness.
Responsibilities:
• Analyze, interpret, and visualize data from numerous sources to support disaster response and recovery efforts, including damage assessments, response operations, and situational awareness in support of the ministry's common operating picture.
• Support the Operations Center, Volunteer Management System, Work Order Management system, and other teams and/or systems through the development and maintenance of reports, dashboards, views, and processes related to managing response, volunteer, beneficiary, and partner data.
• Retrieve, transform, and visualize data through Application Programming Interface (APIs) and integrations with new and existing applications, and through the use of Extract, Transform & Load (ETL) tools such as Feature Manipulation Engine (FME) and Knime.
• Offer informed and creative recommendations on how to use existing NADR data for analysis, trend observation, and growth, and recommend acquisition of new data sources through internal or external partnerships to support the needs of the department.
• Develop and maintain documentation and training for NADR staff and volunteers on the use and interpretation of dashboards, reports, and custom applications.
• Understand and be prepared to backfill for other roles on the NADR Information Technology & Data Systems team by developing familiarity with geospatial reporting & analysis as well as general application support and project management processes.
• Provide on-call department technology support, to include after-hours and weekend support on a rotating schedule.
• Stay current on emerging trends, technologies, tools, sites, applications, and analytics applicable to the work of NADR.
• Support teams across North American Disaster Relief and the broader ministry with special projects and assignments as needed.
• All other duties as assigned.
Qualifications:
Required:
• Bachelors degree in Data Science, Information Systems, Data Analysis, or closely related discipline and three (3) to five (5) years related experience and/or training; or equivalent combination of education and experience.
• General knowledge with business intelligence tools such as Tableau, Power BI, etc.
• General knowledge of relational databases and complex datasets
• Experience querying and manipulating large datasets
• Ability to verbally and visually communicate research results
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public
• Ability to define problems, collect data, establish facts, and draw valid conclusions
Preferred:
• Twelve credit hours of college-level Biblical Studies preferred, not required
Company:
Samaritan's Purse is a non-denominational evangelical christian international relief organization. Founded in 1970, the company is headquartered in Boone, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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