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Data Visualization Jobs in Memphis, TN (NOW HIRING)

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

Experience in building Analytical solutions on Big Data Platform Experience in building cloud based applications Experience in building reporting applications using reporting & visualization tools ...

Media Buyer

Memphis, TN

$57K - $72K/yr

Strong Excel skills (vlookups, pivot tables, and data visualization). * Demonstrated attention to detail and accuracy in campaign execution. * Ability to work autonomously and provide clear ...

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

Must have good understanding of Data Structures, Distributed processing framework. * Must have ... Experience in building reporting applications using reporting & visualization tools like Tableau ...

Advanced proficiency in Microsoft Excel; experience with Power BI and data visualization strongly preferred * Ability to clearly communicate analytical findings to both technical and non-technical ...

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

Experience in building Analytical solutions on Big Data Platform Experience in building cloud based applications Experience in building reporting applications using reporting & visualization tools ...

Strong working knowledge of ERP systems (e.g., Oracle) and data visualization tools (e.g., Tableau, Power BI). • Strategic Communication: Excellent communication, presentation, and interpersonal ...

Advanced proficiency in Microsoft Excel; experience with Power BI and data visualization strongly preferred * Ability to clearly communicate analytical findings to both technical and non-technical ...

Showing results 41-60

Data Visualization information

See Memphis, TN salary details

$52.5K

$106.5K

$157.1K

How much do data visualization jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data visualization in Memphis, TN is $106,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $119,700.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are the most commonly searched types of Data Visualization jobs in Memphis, TN?

The most popular types of Data Visualization jobs in Memphis, TN are:

What job categories do people searching Data Visualization jobs in Memphis, TN look for?

The top searched job categories for Data Visualization jobs in Memphis, TN are:

Infographic showing various Data Visualization job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,495 per year, or $51.2 per hour.

Employee Experience Analytics Consultant

Whopper Technologies

Memphis, TN • On-site

Contractor

Medical, Dental, Vision, Retirement

Re-posted 17 days ago


Job description

Job Title: Employee Experience Analytics Consultant
Location: onsite in Memphis, TN
Estimated Duration:  6 months (likely to extend)
Work authorization: any (candidate must be authorized to work in USA)
 

Job Summary:

The Employee Experience (EX) Analytics Consultant  serves as a key contributor in delivering data-driven insights, reporting solutions, and analytical support to enable informed decision-making across EX functions. This role focuses on execution and planning—translating business needs into actionable analytics, building scalable reporting solutions, and supporting initiatives through data, visualization, and storytelling.

The Consultant partners closely with stakeholders to prioritize work, enhance data accessibility, and ensure high-quality, compliant use of employee data, while contributing to the continuous improvement of analytics standards, processes, and governance.

 

Responsibilities:

Analytics & Insights Delivery

  • Analyze large, complex HR/EX datasets to identify trends, anomalies, and opportunities; translate findings into actionable recommendations.

  • Build analytical models and perform structured data analysis to inform business decisions and workforce strategies.

  • Develop insights that support EX priorities, including but not limited to talent, employee listening, and organizational effectiveness.

EX Data

  • Analyze EX data, including talent (performance, succession, learning, competency assessments, etc), talent acquisition, compensation, benefits (medical, dental, vision), and retirement programs, to identify trends, gaps, and opportunities.

  • Partner with stakeholders to interpret data and inform decisions related to pay practices, benefits strategy, performance management, and talent acquisition strategy.

  • Respond to targeted requests (e.g., pay equity reviews, promotion analysis, benefits utilization, talent pipeline health) with actionable analysis and recommendations.

  • Ensure data quality, consistency, and compliance with regulatory, privacy, and governance standards across rewards and talent data.

  • Support standardization of metrics, definitions, and best practices across Employee Experience.

Reporting & Visualization

  • Design and develop standard reports, dashboards, and scorecards to provide consistent, scalable access to EX metrics.

  • Maintain and enhance reporting solutions to improve usability, accuracy, and alignment with business needs.

  • Deliver clear, compelling data visualizations and narratives tailored to diverse stakeholder audiences.

Solution Development

  • Architect and recommend solutions that leverage technology, data, and processes across systems (e.g., Workday, Microsoft tool suite).

  • Support the development of self-service analytics capabilities aligned with EX data strategy.

  • Identify opportunities to improve efficiency, automation, and data accessibility.

Stakeholder Partnership & Execution

  • Partner collaboratively with stakeholders to clarify requirements, prioritize initiatives, and deliver value-driven analytics solutions.

  • Triage and respond to ad hoc data requests by refining business questions and providing timely, actionable outputs.

  • Support cross-functional EX projects and initiatives with analytics expertise and deliverables.

Data Governance & Compliance

  • Support data governance efforts by monitoring data quality, identifying discrepancies, and resolving issues.

  • Ensure compliance with federal and state regulations, data privacy standards, and internal policies related to employee data.

  • Promote and maintain data standards, definitions, and best practices across EX analytics.

Operational Support & Continuity

  • Contribute to business continuity, disaster recovery, and emergency response planning as needed.

  • Support operational readiness by ensuring data processes and reporting capabilities remain reliable and sustainable.

 

Requirements:

  • Bachelor’s degree in HR, Business, Analytics, Information Systems, Finance, or a related quantitative field.

  • 2–4 years of experience in HR analytics, people analytics, or a related data-driven role.

  • Experience working with HRIS platforms (e.g., Workday) and analytics/reporting tools.

  • Familiarity with employee listening platforms (e.g., Qualtrics) and survey analytics.

  • Demonstrated ability to analyze data, build reports/dashboards, and communicate insights clearly.

  • Strong problem-solving skills and attention to detail.

  • Ability to manage multiple priorities and respond effectively to evolving business needs.

Preferred

  • Exposure to data governance practices and data privacy regulations.

  • Understanding of business continuity practices as the relate to data systems.

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.