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Entry Level Data Visualization Tableau Jobs in Ohio

Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire * Experience with statistical and mathematical modeling, artificial intelligence and ...

Develop reports and dashboards using data visualization tools, such as Tableau, and data querying languages such as SQL and TSQL. * Triage, prioritize, manage, and resolve any data related requests ...

Basic understanding of SQL and data visualization tools (Excel, Power BI, Tableau, etc.). * Analytical mindset and attention to detail. Additional Information All your information will be kept ...

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Proficiency with data visualization tools like Power BI and Tableau. * Knowledge of relational and non-relational database engines, and data modeling principles. * Familiarity with ETL tools and data ...

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Entry Level Data Visualization Tableau information

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 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 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.
What are the most commonly searched types of Data Visualization Tableau jobs in Ohio? The most popular types of Data Visualization Tableau jobs in Ohio are:
What are popular job titles related to Entry Level Data Visualization Tableau jobs in Ohio? For Entry Level Data Visualization Tableau jobs in Ohio, the most frequently searched job titles are:
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Full-time

Posted 10 days ago


Job description

What You Will Do at ODM:

Office: Data & Integrated Systems

Bureau: Strategic & Performance Analytics

Classification: Data Scientist Supervisor (PN 20102048)

 
Job Overview:

The Ohio Department of Medicaid (ODM) is seeking an experienced data analytics and science professional to lead our enterprise dashboarding and data visualization initiatives. This role provides the opportunity to make a meaningful impact by advancing data visualization, optimizing dashboard performance, and informing the health care of millions of Ohioans. The position oversees the Dashboard Operations Team and guides contractor resources to deliver highquality visualization products across the agency. As a Data Scientist Supervisor, your responsibilities will include:

  • Serving as the organization's data visualization subject matter expert (SME).
  • Overseeing the development of interactive Medicaid dashboards that support program operations, policy monitoring, and transparency for constituents.
  • Creating an agile dashboard development framework, overseeing Tableau cloud migration initiatives, and providing analytics governance recommendations.
  • Collaborating with the Business Intelligence Team to develop WCAG 2.1 AA compliant public-facing dashboards, including the creation of enhanced desk aides and best-in-class tutorials.
  • Integrating advanced Graphic Information System (GIS), geospatial methodologies, and statistical techniques into dashboards to deliver timely, data-driven insights.
  • Coordinating with contractors and vendors to scale dashboard production, improve user experience, and implement intuitive design and functionality.
  • Providing supervision, coaching, and professional development to staff, fostering a collaborative and innovative team environment.

The preferred candidate will have experience using large relational databases and data visualization tools (e.g. Tableau and GIS), familiarity with cloud solutions, and have strong communication skills. They will have a passion for managing, coaching, and developing staff members as well as the ability to be self-directed in a fast-paced environment.

72 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
-Or completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field; 54 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
-Or completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field; 48 mos. exp. in data analytics, statistical analysis, or research methods. 12 mos. exp. in supervisory &/or management principles & techniques. 

-Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field; 36 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
-Or equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skill: Data Analytics

Technical Skills: Data Visualization

Professional Skills: Coaching, Collaboration, Leading Others, Analyzation