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Assistant Remote Data Visualization Jobs in Illinois

Addison Group

Data Entry, Admin Assistant

Gurnee, IL · Remote

$25 - $30/hr

Data Entry / Administrative Assistant - REMOTE Location (city, state): Gurnee, IL Industry: Aviation / Aerospace Pay: $25-30/hour (based on experience) Benefits: This position is eligible for medical ...

Allied

Senior IT Data Analyst

Chicago, IL · On-site +1

$95K - $105K/yr

... generation, and visualization. As a technical lead, the data analyst will be responsible for ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Allied Benefit Systems

Senior IT Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

... generation, and visualization. As a technical lead, the data analyst will be responsible for ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

VIVA USA INC

AWS DevOps Engineer

Chicago, IL · On-site +1

$54.50 - $74.50/hr

Data Integration and Visualization: Collaborate with data teams to ensure seamless data integration ... Remote VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity ...

American Cancer Society

Media Analyst - Remote

Chicago, IL · On-site +1

$60K - $65K/yr

Build dashboards and visualization tools using platforms such as Tableau, Power BI, or Google Data Studio to create custom views of marketing revenue trends with paid media KPIs. (20%) * Collect ...

New

Novus Print Media

Senior Analyst, Data & Reporting

Chicago, IL · On-site +1

$88K - $111K/yr

Reporting & Visualization * Build and maintain client-facing dashboards in our BI/dashboarding ... remote work from home. The specific schedule will be finalized upon hire. We are only looking for ...

NOVUS

Senior Analyst, Data & Reporting

Chicago, IL · On-site

$88K - $111K/yr

Reporting & Visualization * Build and maintain client-facing dashboards in our BI/dashboarding ... remote work from home. The specific schedule will be finalized upon hire. We are only looking for ...

Collectiv

Project Lead - Data and Analytics

Chicago, IL · On-site +1

Proficiency in data analysis, database queries (e.g., SQL), and data visualization tools like Power ... Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person ...

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Assistant Remote Data Visualization information

How does an Assistant Remote Data Visualization professional typically collaborate with other team members, given the remote nature of the role?

As an Assistant Remote Data Visualization professional, you will regularly collaborate with data analysts, project managers, and subject matter experts through virtual meetings, shared dashboards, and real-time messaging platforms. Remote work relies heavily on clear digital communication and documentation to ensure everyone is aligned on project goals and visualization requirements. You may also use collaborative tools like cloud-based data platforms and version control systems to update and share your work. Building strong online relationships and proactively seeking feedback are key to successful teamwork in this environment.

What are Assistant Remote Data Visualization jobs?

Assistant Remote Data Visualization jobs involve supporting data analysts or visualization specialists in creating charts, graphs, dashboards, and other visual representations of data—while working remotely. These roles typically include tasks like cleaning and organizing datasets, using visualization tools (such as Tableau, Power BI, or Excel), and collaborating with teams to present insights clearly. The 'assistant' aspect means you'll often work under supervision, helping to prepare materials and ensure data accuracy for reports or presentations. This job is ideal for those with good analytical skills, attention to detail, and interest in both data and design.

What is the difference between Assistant Remote Data Visualization vs Data Analyst?

AspectAssistant Remote Data VisualizationData Analyst
Required CredentialsBasic knowledge of data visualization tools, possibly some certifications in visualization softwareDegree in data science, statistics, or related field; often certifications in data analysis
Work EnvironmentRemote, collaborative with data teams, focused on visualization tasksRemote or on-site, broader data analysis responsibilities
Industry UsageUsed in tech, marketing, finance for visual reportingUsed across industries for data interpretation and decision-making

Assistant Remote Data Visualization roles focus on creating visual representations of data, often requiring familiarity with visualization tools. Data Analysts perform broader data analysis, including cleaning, interpreting, and reporting data. While both roles may work remotely and require some overlapping skills, Data Analysts typically have more extensive analytical responsibilities and educational background.

What are the key skills and qualifications needed to thrive as an Assistant Remote Data Visualization, and why are they important?

To thrive as an Assistant Remote Data Visualization, you need a solid grounding in data analysis, statistics, and visualization principles, often supported by a degree in a related field. Familiarity with tools such as Tableau, Power BI, or Python visualization libraries, as well as experience with spreadsheets and data management systems, is typically expected. Strong communication, attention to detail, and problem-solving skills help you translate complex data into clear, actionable visual insights for diverse audiences. These skills are crucial for effectively supporting data-driven decision-making and ensuring that key findings are accessible and impactful.
What are the most commonly searched types of Remote Data Visualization jobs in Illinois? The most popular types of Remote Data Visualization jobs in Illinois are:
What are popular job titles related to Assistant Remote Data Visualization jobs in Illinois? For Assistant Remote Data Visualization jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Assistant Remote Data Visualization jobs in Illinois look for? The top searched job categories for Assistant Remote Data Visualization jobs in Illinois are:
What cities in Illinois are hiring for Assistant Remote Data Visualization jobs? Cities in Illinois with the most Assistant Remote Data Visualization job openings:
Assistant Remote Data Visualization jobs near you

Manager, Data Engineering- Data Visualization (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

Full-time

Posted 20 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The Data Engineering Manager - Enterprise Data Visualization will report to the Sr. Director, Data Engineering in the Technology Department. This role will engage with Business Leaders, Analysts, Data Stewards, Application Architects, and third-party providers. This role will lead an agile team of Data Engineers that work to enhance data delivery, quality, accessibility, and analysis. This role will improve functionality, streamline data processes, provide direct support to the business and operational teams, and strengthen targeted business strategies. The role works closely with the Business, Operations and Technology groups to help design and lead the development and maintenance of the Enterprise Reporting Platform.
If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application!
Duties & Responsibilities:
  • Lead an agile team of data engineers with varying levels of experience in the delivery of enterprise data initiatives.
  • Oversee the creation of data visualizations including enterprise dashboards, analytical, and operational reporting.
  • Partner with business leadership to implement 3-5-year plan for area of responsibility.
  • Manage multiple concurrent projects.
  • Define and establish benchmarks, metrics, and quality measures.
  • Support disaster recovery and contingency planning.
  • Ensure solutions meet non-functional requirements, including security, performance, maintainability, scalability, usability, and reliability.
  • Effectively manage relevant 3rd party vendor relationships.
  • Support the stability and resiliency of Data Visualization production processes, as well as instituting a robust support model addressing process and application failures.
  • Understand the business and technology.
  • Drive process alignment with business partners.
  • Identify project team requirements and capital requirements.
  • Evaluate and integrate productivity tools, development tools, testing tools, databases, and applications into this architecture.
  • Work with the leaders of Technology Infrastructure and Software Engineering to ensure effective operational tools and procedures are in place to support the application architecture.
  • Research and strategize emerging technologies relevant to business needs.
  • Develop and document an overall enterprise reporting delivery architecture which is fit for business purposes and cost effective.

Supervisory Responsibilities:
  • Recruits, interviews, hires, and trains new staff.
  • Oversees the daily workflow of the department.
  • Provides constructive and timely performance evaluations.
  • Participate in budget planning and monitoring.

Education & Experience:
  • 10+ years of experience in Data Engineering, Data Visualization, or Software Product Development
  • Bachelor's degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronic Engineering, Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines
  • 1-3 years of leadership experience managing direct reports
  • Tableau Certifications are preferred
  • Microsoft Certified Azure Data Fundamentals preferred
  • Snowflake SnowPro Certification preferred

Skills & Abilities:
  • Strong understanding of Programming Skills. While not expected to perform day-to-day code development, the Data Engineering Manager is expected to be knowledgeable and practiced in programming languages such as SQL/T-SQL, Python
  • Data / Database Skills: Competence with relational and NoSQL databases (e.g., SQL Server, MongoDB) including proficiency with Data Definition Languages, Data Mark-Up Languages
  • Participate in design and implementation of OLAP databases to serve internal and external consumer use cases
  • Design and implement hybrid data cloud services, leveraging public could providers (i.e., Azure) and specialty providers (i.e., Snowflake)
  • Understand and implement Generative AI solutions within the context of developer assistance and data visualization product delivery
  • Support the development of enterprise data visualization strategy ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
  • Support enterprise data governance initiatives
  • Strong experience in working with and optimizing enterprise reporting
  • Exceptional analytical skills and strong attention to detail
  • Ability to prioritize, plan and take initiative
  • Highly self-motivated and directed
  • Experience in a high availability environment preferred
  • Knowledge of ITIL/ITSM Foundational practices and framework preferred
  • Strong Vendor management skills preferred
  • Strong understanding of Salesforce Financial Services Cloud data object model preferred
  • Data Engineering Tools/Platforms
    • Platform/Framework (Snowflake, Azure MSSQL)
    • Visualization (Tableau, PowerBI, SSRS)
    • Governance (Data.World, Atlan, Alation)
  • Problem-Solving and Analytical Skills: Data engineers must possess strong problem-solving abilities and the capacity to analyze complex technical challenges. They should be able to break down problems into manageable components and devise effective solutions
  • Software Product Development Lifecycle: Familiarity with the software development lifecycle (SDLC) is crucial. This includes understanding requirements gathering, system design, implementation, testing, deployment, and maintenance in an Agile/Scaled Agile manner. Experience with Scrum, Kanban, Extreme Programming, or other outcome based iterative development approach required
  • Knowledge of Development Tools and Frameworks: Data engineers should be proficient in using development tools and frameworks relevant to their domain. This can include version control systems (e.g., Git), integrated development environments (e.g., Visual Studio Code, IntelliJ), and frameworks specific to data platform development
  • Collaboration and Communication: Effective collaboration with cross-functional teams is vital for data engineers. Strong communication skills, both written and verbal, enable them to clearly express ideas, collaborate with colleagues, and convey technical concepts to non-technical stakeholders
  • Continuous Learning: The field of software engineering is constantly evolving, so a mindset of continuous learning is crucial. Staying updated with new technologies, programming languages, frameworks, and industry trends is highly valued
  • Testing and Debugging: Proficiency in automated software testing techniques, including unit testing, integration testing, and debugging, is important for ensuring the reliability and quality of software applications
  • Knowledge of Security Best Practices: Strong understanding of secure coding practices and the ability to apply them effectively in software development. Ability to implement security controls, conduct code reviews, and perform security-focused testing, ensuring adherence to industry standards and minimizing the risk of potential exploits
  • Compliance: Familiarity with regulatory compliance requirements and industry-specific security standards, such as GDPR, HIPAA, PCI-DSS, and ISO 27001. Ability to design and implement software solutions that meet these compliance standards, ensuring the protection of sensitive data and maintaining regulatory compliance
  • System Design and Architecture: Data engineers should have a solid understanding of data platform system design principles and architecture patterns. This includes scalability, performance optimization, and the ability to design robust and efficient software systems
  • Adaptability and Flexibility: Data engineers often encounter changing requirements, tight deadlines, and evolving technologies. Being adaptable, flexible, and able to quickly learn and adapt to new tools and frameworks is crucial

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