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Data Science Visualization Jobs in Illinois (NOW HIRING)

... data science, analytics, or product analytics experience. Description of Minimum Experience Required: * Demonstrated ability to conduct and interpret quant. Analysis * Proficiency in visualization ...

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ... Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.

Job Summary : 84.51° is a retail data science, insights and media company. The Senior Data ... visualization that leads to more actionable insights. • Attain deep expertise in 84.51° and KPM ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

... science techniques and methodological approaches to less technical audiences - both internal and external. * Strong analytical, problem-solving and decision-making skills. * Strong data visualization ...

Master's degree in Data Science, Mathematics, or another quantitative field preferred Experience ... Familiarity with data visualization tools (e.g., PowerBI or Python visualization libraries)

Leverage Tableau and data visualization best practices to deliver scalable, intuitive insights ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field ...

Leverage Tableau and data visualization best practices to deliver scalable, intuitive insights ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field ...

New

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

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Data Science Visualization information

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 are popular job titles related to Data Science Visualization jobs in Illinois? For Data Science Visualization jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Illinois look for? The top searched job categories for Data Science Visualization jobs in Illinois are:
What cities in Illinois are hiring for Data Science Visualization jobs? Cities in Illinois with the most Data Science Visualization job openings:
Product Data Scientist

Product Data Scientist

ISACA

Schaumburg, IL • On-site

Full-time

Posted 6 days ago


Job description

About ISACAISACA (www.isaca.org) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members' careers-helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world. Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals.Overview

The Product Data Scientist works with the product team to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on diverse product and market data sources. The Product Data Scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making processes and shape the way ISACA's products are measured. The outputs of this role will assist in developing strategies, evaluating initiatives, and defining and tracking KPIs - leading the way for high-quality, data-driven decisions to be made by the product team. Their input will be essential to decision making for product and initiatives that the team creates by helping define the way performance is measured and what questions we should be asking. This role will work closely with not only the product team, but also IT, Finance, Operations, and other departments.   

Responsibilities

Reporting & Analytics 

  • Performs large-scale experimentation and builds data-driven models to answer business questions from structured and unstructured data sets 
  • Proactively mines internal and external data sources to identify trends, patterns, and generate insights into business units and senior leadership 
  • Performs experimentation to identify hidden relationships between variables in datasets 
  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient 
  • Apply statistical analysis, machine learning, and visualization techniques to various data. 
  • Supporting the product team with analytics throughout the development process, from high-level product roadmap prioritization to post-launch review 
  • Overall, provide a detail-oriented, impact-oriented, customer-centric approach to data analysis 

Discovery & Insights  

  • Design and conduct data analysis on ISACA's products and relevant markets, providing deeper insights and enabling the organization to refine budgets, forecasts, and segmentation. 
  • Dive deep into data and provide insights and recommendations to drive product innovation, define product goals, and ensure product goals and forecasts can be met or exceeded.  
  • Research and report on competitors and market trends to benchmark ISACA's current and potential offerings and inform go-to-market strategies 
  • Translate business needs into analytics/reporting requirements to support strategic decisions and team workflows with required information 

Stakeholder Management 

  • Create a roadmap for data analysis projects, working with stakeholders to determine and establish priorities to balance ongoing projects with ad hoc requests. 
  • Facilitate communication across teams and stakeholders throughout all phases of data analysis, from ideation to measurement to reporting. 
  • Contribute to an effective work environment by setting a positive tone, establishing performance expectations, and driving accountability.  

Other Duties

  • Support product team members' efforts to build their data literacy with guided support and ad hoc training on data analysis results to make sure they are accurately relayed to business stake holders. 
  • Work with cross-functional stakeholders to align data access and architectures across organizational initiatives and key data-driven projects. 
Qualifications

Required Field of Study: 

  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Minimum Years of Experience Required:  

  • 3+ years of data science, analytics, or product analytics experience. 

Description of Minimum Experience Required: 

  • Demonstrated ability to conduct and interpret quant. Analysis 
  • Proficiency in visualization tools like Power BI and Tableau 
  • Experience with programming languages and/or statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 
  • Knowledge of statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 
  • Ability to express complex information and communicate the 'data story' in simple, digestible ways 
  • Excellent written and oral communication skills  

Preferred Field of Study: 

  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Preferred Years of Experience: 

  • 5+ years of data science, analytics, or product analytics experience. 

Description of Preferred Experience:  

  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 
  • Fluency in multiple statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of AI capabilities 

Competencies/Skills Required:   

  • Tenacious, curious, and a fast learner - able to overcome obstacles to get answers 
  • Enthusiasm for metrics, research, KPIs, and data exploration 
  • Willingness and ability to learn new technologies on the job 
  • Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding 
  • Ability to work in diverse, cross-functional teams in a dynamic business environment 
  • Superior presentation skills, including storytelling and other techniques to guide and inspire 
  • Impeccable follow through 
  • Strong written and verbal communication skills to share insights and influence stakeholders 
  • Ability to synthesize complex data into actionable insights and goals 
  • Critical thinking skills to recommend original and productive ideas 
  • Well organized, detail-oriented and self-motivated 
  • Comfortable in a fast paced constantly changing environment 
  • A self-starter with a strong bias for action

Ability to travel, as needed, to meet with chapters, members, and partners; attend conferences, events, and organizational meetings; and participate in company-sponsored trainings. Periodic travel to the Pittsburgh office and other locations may be required to support team collaboration and business objectives.

Equal Opportunity Employer (EEO)ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability.Posted Salary RangeUSD $74,659.00 - USD $111,988.00 /Yr.Benefits Information

Benefits Information available below: 

ISACA Career Opportunities and Benefits

Employment Type: FULL_TIME