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Data Science Visualization Jobs in Haddon Heights, NJ

Winaxis

Lead II - Data Analysis

Philadelphia, PA · On-site

... scientist roles. - Advanced proficiency in SQL for querying large databases and Python (pandas ... data visualization using Tableau (mandatory) or Power BI (optional); able to create clear ...

ResolveSoft Inc

Be Seen First

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders ... Proficiency in data visualization tools such as Tableau * Experience using Python for analysis and ...

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Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Haddon Heights, NJ

Data Science Visualization information

See Haddon Heights, NJ salary details

$52K

$105.5K

$155.6K

How much do data science visualization jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science visualization in Haddon Heights, NJ is $105,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $118,500.00 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 Haddon Heights, NJ are hiring for Data Science Visualization jobs? Cities near Haddon Heights, NJ with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Haddon Heights, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,483 per year, or $50.7 per hour.

Principal Data Analyst (Advanced Analytics), HyperPersonalization

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 6 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description

Role Summary
The Data Analyst, Senior Specialist role analyzes complex datasets to provide actionable insights, optimize processes, and support decision-making. This role involves leading analytics projects, ensuring data quality, and collaborating with teams to deliver data-driven solutions. The position also includes mentoring peers and driving automation to enhance business efficiency.
Responsibilities
  • Conduct advanced analytics and statistical modeling on diverse business datasets to generate actionable insights.
  • Identify trends, patterns, and correlations within data to support informed decision-making across business functions.
  • Utilize machine learning techniques and sophisticated analytical methods to uncover trends and insights from structured and unstructured data sources.
  • Define data requirements, oversee data collection processes, and ensure the accuracy, consistency, and quality of the data.
  • Establish and enforce data quality standards, including the development of tools and methods to measure and enhance data integrity.
  • Design and implement automated systems for data collection, processing, and reporting to streamline workflows and improve business agility.
  • Engage with internal stakeholders to understand business strategies, objectives, and challenges, and translate these into actionable analytical projects.
  • Lead complex, cross-functional projects from concept to completion, offering strategic and tactical guidance to team members and ensuring alignment with organizational goals.
  • Serve as the analytics subject matter expert, providing insights and recommendations for enterprise-wide strategic initiatives.
  • Develop and present clear, impactful visualizations and reports that translate complex data insights into actionable recommendations for senior leadership.
  • Mentor and guide colleagues on best practices for data visualization, ensuring clarity and accessibility for a wide range of audiences.
  • Foster the growth of the analytics community at Vanguard by mentoring and coaching peers, while connecting them with training resources and development opportunities.
  • Stay informed about emerging trends in data science and analytics, sharing insights and presenting at analytics seminars to contribute to knowledge-sharing within the organization.
  • Own and manage recurring analytic and reporting processes, ensuring efficiency and accuracy in data delivery.
  • Identify opportunities to automate data-related workflows, driving operational efficiency and supporting business agility.
  • Contribute to special projects as needed and take on other tasks or duties as assigned.

Qualifications and Skills
  • Minimum of 12 years corporate experience
  • Minimum of 10 years related work experience in data analytics, management and modelling.
  • Proven Marketing & Distribution Analytics leader
  • Ability to build strong relationships with senior business partners
  • Exceptional data storytelling through visualization
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and data analysis platforms.
  • Strong understanding of statistical modeling, machine learning, and advanced analytics techniques.
  • Ability to analyze large datasets, identify trends, and translate data into actionable insights.
  • Experience in data collection, cleaning, and quality assurance to ensure data accuracy and integrity.
  • Familiarity with data automation and process optimization.
  • Experience working in cross-functional teams and leading data-driven projects.
  • Familiarity with big data tools or platforms (e.g., Hadoop, Spark) is a plus.
  • Knowledge of emerging trends in data science and analytics is beneficial.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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