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Data Visualisation Analyst Jobs in Atlanta, GA (NOW HIRING)

Proficiency in data analysis tools such as Excel, SQL, and data visualisation software. * Strong analytical and problem-solving skills. * Excellent communication skills, both verbal and written. Nice ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... Experience with data visualisation tools, such as D3.js, GGplot, etc. * Proficiency in using query ...

ERP AI Engineer - Manager

Atlanta, GA · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

Data Strategy-Manager

Atlanta, GA · On-site

$99K - $232K/yr

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

Data Governance- Manager

Atlanta, GA · On-site

$99K - $232K/yr

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

Data Visualisation Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do data visualisation analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data visualisation analyst in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What does a data visualisation analyst do?

A Data Visualisation Analyst is responsible for transforming complex data sets into clear and visually engaging charts, graphs, and dashboards. They use specialized tools and software to help organizations understand trends, patterns, and insights from their data. By communicating findings visually, they enable stakeholders to make informed decisions quickly and effectively. Their role often involves collaborating with data scientists, business analysts, and decision-makers to ensure that visualizations meet business needs.

What are some common challenges data visualisation analysts face when presenting insights to non-technical stakeholders?

Data Visualisation Analysts often encounter the challenge of translating complex data findings into clear, actionable visuals that resonate with non-technical audiences. It can be difficult to strike the right balance between detail and simplicity, ensuring that key insights are not lost while avoiding overwhelming the audience. Effective communication and tailoring presentations to the audience's level of data familiarity are critical for success. Additionally, Analysts may need to address stakeholder questions on data sources or methodologies, so being prepared with accessible explanations is essential.

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

To thrive as a Data Visualisation Analyst, you need strong analytical skills, proficiency in statistics, and a solid grasp of data interpretation, often supported by a degree in mathematics, computer science, or a related field. Expertise in visualization tools like Tableau, Power BI, and proficiency in SQL or Python are typically required. Attention to detail, creativity, and the ability to communicate complex information simply are standout soft skills in this role. These skills are crucial for transforming raw data into actionable insights and ensuring stakeholders can make informed, data-driven decisions.

What is the difference between Data Visualisation Analyst vs Data Analyst?

AspectData Visualisation AnalystData Analyst
Primary FocusCreating visual representations of data to communicate insightsAnalyzing data sets to identify trends and patterns
Skills & ToolsData visualization tools (Tableau, Power BI), graphic designStatistical analysis, SQL, Excel
Work EnvironmentBusiness intelligence teams, data departmentsData analysis teams, research departments
CertificationsTableau Desktop Specialist, Power BI certificationsGoogle Data Analytics, Microsoft Certified Data Analyst

While both roles involve working with data, a Data Visualisation Analyst primarily focuses on creating visual tools to communicate data insights effectively, whereas a Data Analyst concentrates on analyzing data to uncover trends and inform decision-making. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.

Infographic showing various Data Visualisation Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.
Stryker Corporation
Medical Equipment and Supplies Manufacturing • 10K+ employees

Full-time

Posted 14 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

137th of 499 rated machine equipment manufacturers


Job description

Overview

Join a dynamic team at Stryker as you embark on a journey to leverage your analytical skills in a collaborative environment. This position offers the opportunity to work with data to drive informed decision-making and support various business functions.

Key Responsibilities

  • Analyse complex datasets to identify trends and insights that inform strategic decisions.
  • Create and maintain reports and dashboards that provide actionable insights to stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and deliver solutions.
  • Utilise statistical methods to validate data accuracy and reliability.
  • Present findings and recommendations to management in a clear and concise manner.

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in data analysis tools such as Excel, SQL, and data visualisation software.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, both verbal and written.

Nice to have

  • Experience with programming languages such as Python or R.
  • Knowledge of machine learning techniques and applications.
  • Familiarity with database management systems.
  • Experience in the healthcare industry is a plus.

What Stryker employees say

Pay

Benefits

Hours and flexibility

Workplace

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