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Data Visualisation Analyst Jobs in Germantown, MD

Vidoori

IT Project Manager (FinOps)

Hyattsville, MD · On-site

$98K - $116K/yr

Strong analytical and problem-solving skills, with the ability to interpret cost, usage, project ... Experience with reporting and data visualisation tools such as Microsoft Power BI, Tableau, Looker ...

Vidoori Inc.

IT Project Manager (FinOps)

Hyattsville, MD · On-site

$100 - $125/hr

Strong analytical and problem-solving skills, with the ability to interpret cost, usage, project ... Experience with reporting and data visualisation tools such as Microsoft Power BI, Tableau, Looker ...

Pwc

ERP AI Engineer - Manager

Washington, DC · 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 ...

Vidoori

IT Project Manager (FinOps)

Hyattsville, MD · Hybrid

$98K - $116K/yr

Strong analytical and problem-solving skills, with the ability to interpret cost, usage, project ... Experience with reporting and data visualisation tools such as Microsoft Power BI, Tableau, Looker ...

Pwc

Data Governance- Manager

Washington, DC

$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 ...

Pwc

Data Strategy-Manager

Washington, DC · 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 ...

Pwc

Data Strategy & Governance -Director

Washington, DC · On-site

$155K - $410K/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 ...

Pwc

Adobe Transformation - Senior Manager

Washington, DC

$124K - $280K/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 ...

SCOR

P&C UK Reserving Actuary

Washington, DC

$131K - $155K/yr

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data ... Significant experience in understanding, explaining and analysing financial impacts and drivers of ...

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All JobsData Visualisation Analyst JobsData Visualisation Analyst Jobs in Germantown, MD

Data Visualisation Analyst information

See Germantown, MD salary details

$34.4K

$83.5K

$137.4K

How much do data visualisation analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualisation analyst in Germantown, MD is $83,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,000.00 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.

Data Visualisation Analyst jobs near you
Infographic showing various Data Visualisation Analyst job openings in Germantown, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,509 per year, or $40.1 per hour.

Data & AI Strategy Senior Manager

Washington, DC • On-site

Accenture Federal Services
IT Services • 10K+ employees
Learn more about Accenture Federal Servicesexternal

Full-time

Re-posted yesterday

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

You Are:

Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organizations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various industries with strategic insights that unlock new opportunities, deliver imaginative new customer experiences, drive revenue growth and enhance operational effectiveness. If you're ready to embark on an exciting journey that blends strategy with real-world impact, we want you on our team!

  • Lead a Team: Manage and mentor a cross-functional team, fostering a collaborative and high performance environment that encourages professional development and excellence in client delivery.
  • Engage with Clients: Collaborate with clients to understand their business challenges and identify how Data & AI can drive strategic value across various industries, sectors, and functions.
  • Manage Deliverables: Oversee client contractual deliverables at a project or workstream level, ensuring that all commitments are met on time and to the highest quality standards.
  • Serve as an SME: Act as a Subject Matter Expert (SME) in various client engagements, providing insights and strategic recommendations based on Data & AI industry best practices.
  • Develop Strategic Insights: Utilize your knowledge and understanding of industry trends and methodologies to provide strategic recommendations that align with clients' business objectives and enhance their competitive advantage.
  • Facilitate Stakeholder Engagement: Build and maintain relationships with senior stakeholders, including C-suite executives, to effectively communicate the value of Data & AI initiatives and drive alignment on strategic priorities.
  • Leverage Accenture Methods: Apply established frameworks and strategic methodologies to assess client needs, identify opportunities for improvement, and develop actionable plans for Data & AI implementation.
  • Drive Innovation: Partner with our global and regional AI labs and studios, collaborating with cross-functional teams to discover innovative solutions and push the boundaries of what is possible with Data & AI.
  • Represent Accenture: Represent Accenture at various internal, industry, and client events, showcasing our expertise in Data & AI.
  • Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making.
  • Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilizing data visualisation tools and techniques to present findings effectively.
  • Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving.
  • Drive Practice Development: Lead the development of point of views, thought leadership and intellectual property within the Data & AI strategy space, enhancing our value proposition and building a strong professional community.
  • Be a Team Player: Work collaboratively with colleagues across various functions, sharing knowledge and insights to drive collective success and foster a culture of innovation.

Here's What You Need: 

  • 10+ years of technical experience with strong focus on data engineering, AI/ML systems, or related fields
  • Proven hands-on expertise in data architecture, pipeline development, and AI/ML platform design
  • Experience with modern data technologies
  • Technical leadership experience managing engineering teams on complex and/or programs
  • Working knowledge of ML engineering practices, model deployment, and MLOps frameworks
  • Experience working in Defense, Intelligence, or Federal environments (understanding of mission contexts, security requirements, and acquisition processes)
  • Demonstrated ability to lead cross-functional teams and drive outcomes across organizational boundaries
  • Bachelor's Degree 

Bonus Points If:

  • Hands-on experience with specific technologies: Databricks, Palantir, Snowflake, Qlik, Kubernetes, Terraform, Python, Spark, AWS/Azure/GCP ML services, vector databases, LLM frameworks
  • Experience with Defense or Intelligence-specific platforms (e.g., Army Vantage, Maven Smart Systems
  • Experience with Agile delivery in classified or secure environments
  • Executive-level communication skills with ability to brief senior government leadership

The Extras: 

  • US Citizenship required

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