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Senior Data Visualization Designer Jobs in Tennessee

Sr. Data Engineer

Nashville, TN ยท On-site

$102K - $139K/yr

We're designed to change that. We're Wellvana, and we help doctors deliver life-changing health ... As a Sr. Data Engineer, you will be a crucial part of the Wellvana technology team responsible for ...

Sr. Data Engineer

Nashville, TN

$102K - $139K/yr

We're designed to change that. We're Wellvana, and we help doctors deliver life-changing health ... As a Sr. Data Engineer, you will be a crucial part of the Wellvana technology team responsible for ...

Senior Data Engineer

Brentwood, TN ยท On-site

$100K - $136K/yr

Power BI expertise including dashboard development, DAX, and data visualization best practices * Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services * Data ...

... Senior Data Analyst, Customer Insights, you will serve as a key contributor to the data-driven ... Experience with visualization tools (e.g., Looker, Power BI, Tableau) Physical Demands and Working ...

... Senior Data Analyst, Customer Insights, you will serve as a key contributor to the data-driven ... Experience with visualization tools (e.g., Looker, Power BI, Tableau) Physical Demands and Working ...

We work with leading organizations to ensure AI is designed, built and deployed in a manner that ... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ...

We work with leading organizations to ensure AI is designed, built and deployed in a manner that ... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ...

Data Analyst Senior

Only, TN ยท Hybrid

$79K - $115K/yr

... visualization, and Business Intelligence tools, such as Tableau. - Strong proficiency with ... designed to celebrate your contributions and support your professional growth. We invite you to ...

Google Senior Data Engineer

Morristown, TN ยท On-site

$94K - $266K/yr

... teams in designing and implementing modern data and AI solutions. You're comfortable working ... The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization ...

Google Senior Data Engineer

Nashville, TN ยท On-site

$94K - $266K/yr

... teams in designing and implementing modern data and AI solutions. You're comfortable working ... The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization ...

Sr. Data Engineer

Cordova, TN ยท On-site

$99K - $118K/yr

As a Sr. SQL Developer/Data Engineer, you will be responsible for designing, developing, and maintaining the company's data systems including data replications and data streaming pipelines, as well ...

$86K - $130K/yr

The Senior Data Warehouse Developer is responsible for architecting, designing, developing, implementing and supporting various components for the enterprise data warehouse and associated data ...

Showing results 41-60

Senior Data Visualization Designer information

What does a senior data visualization designer do?

A Senior Data Visualization Designer is responsible for creating clear, compelling, and interactive visual representations of complex data to help businesses and stakeholders make informed decisions. They work closely with data analysts, engineers, and business leaders to understand data requirements and translate them into visual formats such as dashboards, charts, and infographics. Their role also involves ensuring that visualizations are accessible, accurate, and aligned with user needs, while often mentoring junior designers and setting visualization standards within the organization.

What are the key skills and qualifications needed to thrive as a senior data visualization designer, and why are they important?

To thrive as a Senior Data Visualization Designer, you need expertise in data analysis, graphic design, and a strong foundation in statistics, usually supported by a degree in design, computer science, or a related field. Proficiency with tools such as Tableau, Power BI, D3.js, Adobe Creative Suite, and data querying languages like SQL is typically required. Strong communication, storytelling abilities, and attention to detail help you convey complex data insights clearly and effectively to diverse audiences. These skills ensure that data-driven decisions are supported by clear, compelling visual narratives that drive business impact.

How does a senior data visualization designer typically collaborate with data scientists and stakeholders on projects?

A Senior Data Visualization Designer often serves as a bridge between data scientists, who generate insights, and business stakeholders, who need to understand those insights clearly. They participate in project meetings to gather requirements, review preliminary data, and discuss goals and potential use cases. Designers work closely with data scientists to ensure accurate representation of findings, while also consulting stakeholders to refine visuals for clarity and impact. This role requires strong communication skills and the ability to translate complex data into compelling, user-friendly visuals that support informed decision-making.

What is the difference between Senior Data Visualization Designer vs Data Analyst?

AspectSenior Data Visualization DesignerData Analyst
Required SkillsAdvanced visualization tools, design principles, storytellingData manipulation, statistical analysis, reporting
Work EnvironmentDesign-focused, creative teams, cross-functional projectsData-driven, business intelligence, reporting teams
Common CertificationsData visualization certifications, UX/UI designSQL, Excel, statistical certifications

While both roles work with data, a Senior Data Visualization Designer primarily focuses on creating compelling visual representations to communicate insights, whereas a Data Analyst emphasizes analyzing data sets to generate reports and support decision-making. The roles often collaborate but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Data Visualization Designer jobs in Tennessee?

The most popular types of Data Visualization Designer jobs in Tennessee are:

What cities in Tennessee are hiring for Senior Data Visualization Designer jobs?

Cities in Tennessee with the most Senior Data Visualization Designer job openings:

Sr. Data Engineer

Wellvana

Nashville, TN โ€ข On-site

$102K - $139K/yr

Full-time

Re-posted 2 days ago


Job description

The Why Behind Wellvana:
The healthcare system isn't designed for health. We're designed to change that. We're Wellvana, and we help doctors deliver life-changing healthcare.
Through our elevated value-based care programs, we're revitalizing an antiquated system that's far too long relied on misaligned incentives that reward quantity of care not the quality of it.
Our enlightened approach-covering everything from care coordination to clinical documentation education to marketing- ties the healthy outcomes of patients directly to shared savings for primary care providers, health systems and payors.
Providers in our curated network keep their independence, reduce their administrative headaches, and spend more time with patients. Patients, in turn, get an elevated experience with coordinated care between appointments that is nothing short of life-changing.
Named a 2024 "Best in Business" and 2023 "Best Place to Work" by Nashville Business Journal, we're one of the fastest-growing healthcare companies in America because what we do works. This is the way medicine is meant to be.
Clarity on the Role:
As a Sr. Data Engineer, you will be a crucial part of the Wellvana technology team responsible for the data platform and pipelines used across the organization. You'll work closely with our engineers, business analysts, medical economics team, actuaries, and more to help define and evolve our platform to meet the growing and changing needs of the business.
What's Expected:
  • Design, build, and maintain scalable data pipelines from scratch.
  • Optimize existing data pipelines for performance, reliability, and efficiency.
  • Architect and manage cloud-based data infrastructure
  • Utilize data orchestration tools to schedule and monitor workflows.
  • Develop and optimize complex SQL queries and scripts for data processing.
  • Design and implement real-time data streaming solutions.
  • Build and maintain API-based data integrations to facilitate seamless data exchange between systems.
  • Work with data processing frameworks for efficient data transformations.
  • Implement best practices for data modeling, governance, and security.
  • Deploy and manage containerized applications using Kubernetes.
  • Develop and maintain CI/CD pipelines to streamline data deployment and integration processes.
  • Collaborate with cross-functional teams, including analytics, product, and engineering, to ensure data availability and quality.
  • Stay current with industry trends and emerging technologies to continuously improve data engineering practices.

Requirements
What's Required:
  • Integrity: The right way is the only way.
  • Dependability: You do what you say you're going to do.
  • Advocacy: You fight for the best possible outcome for providers and their patients.
  • Clarity: You make it all understandable.

Education:
  • Bachelor's degree in Computer Science, Management Information Systems, or a related field, or equivalent experience

Certifications:
  • N/A

Years of Related Experience:
  • 4+ years of data engineering experience
  • 3+ years of cloud engineering experience
  • 2+ years of senior product management experience
  • 3+ years of Python and SQL experience
  • dbt experience is a plus
  • Health care data experience is a plus

Skills/Competencies/Behaviors:
  • Strong expertise in Python, dbt, and SQL for data transformation and manipulation.
  • Proficiency in data orchestration tools like Apache Airflow or Dagster.
  • Experience working with data warehouses such as Snowflake.
  • Proficiency in big data technologies such as Apache Spark.
  • Experience with real-time data streaming technologies like Kafka is a plus.
  • Strong understanding of API-based data integrations.
  • Knowledge of CI/CD practices for data engineering.
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.
  • Excellent communication skills.
  • Experience with workflow automation and data governance best practices.