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Director Data Visualization Jobs in Washington (NOW HIRING)

Demonstrated experience in directing activities of highly skilled technical and analytical teams ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

Demonstrated experience in directing activities of highly skilled technical and analytical teams ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

Data Analyst

Washington, DC ยท On-site

$140K - $160K/yr

This position serves as a data analyst responsible for leading the data analysis for the Division Director to, include visualization and reporting, to enable data driven decisions. Responsibilities

Data Analyst

Washington, DC ยท On-site

$130 - $150K/hr

This position serves as a data analyst responsible for leading the data analysis for the Division Director to, include visualization and reporting, to enable data driven decisions. Responsibilities

Mastery of data visualization and dashboard development using data sets from various sources ... Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ...

Demonstrated experience in directing activities of highly skilled technical and analytical teams ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

Demonstrated experience in directing activities of highly skilled technical and analytical teams ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

Demonstrated experience in directing activities of highly skilled technical and analytical teams ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

Mastery of data visualization and dashboard development using data sets from various sources ... Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ...

Mastery of data visualization and dashboard development using data sets from various sources ... Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ...

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Director Data Visualization information

What is the difference between Director Data Visualization vs Data Analyst?

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

Is data visualization a good career?

Data visualization is a valuable career for professionals skilled in data analysis, design, and tools like Tableau or Power BI. It offers opportunities in various industries, often with a demand for strong communication skills and the ability to interpret complex data visually. The field can provide steady employment and growth potential for those with relevant technical and analytical expertise.

What are some common challenges faced by a Director of Data Visualization when leading cross-functional teams?

As a Director of Data Visualization, one common challenge is bridging the gap between technical data teams and non-technical stakeholders. You'll often need to translate complex data insights into clear, compelling visuals that drive business decisions, while aligning the expectations and goals of multiple departments. Ensuring data accuracy, managing tight deadlines, and fostering collaboration among analysts, designers, and executives are also key aspects of the role. Effective communication and strong project management skills are essential to overcome these challenges and deliver impactful visualizations.

How to become a director of analytics?

To become a director of analytics, candidates typically need extensive experience in data analysis, data management, and leadership roles, often requiring 8-10 years in related fields. A strong understanding of data visualization tools, programming languages like SQL and Python, and advanced degrees such as a master's in data science or business analytics are common requirements. Developing strategic thinking, project management skills, and a proven track record of leading analytics teams are essential for advancement to this senior role.

How much does a director of data visualization make?

A director of data visualization typically earns between $100,000 and $180,000 annually, depending on experience, industry, and location. They often oversee teams, develop data presentation strategies, and require strong skills in tools like Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a Director of Data Visualization, and why are they important?

A Director of Data Visualization requires expertise in data analysis, visualization principles, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with visualization tools such as Tableau, Power BI, D3.js, and familiarity with database systems are essential, and certifications in these platforms are advantageous. Strong leadership, communication, and storytelling skills help translate complex data into actionable insights for diverse stakeholders. These competencies are crucial for driving data-driven decision-making and effectively communicating strategic information across an organization.

What are the 5 C's of data visualization?

The 5 C's of data visualization are clarity, context, conciseness, consistency, and credibility. These principles help a data visualization professional, such as a Director of Data Visualization, create effective and trustworthy visual representations of data by ensuring they are easy to understand, relevant, succinct, uniform, and accurate.

What does a Director of Data Visualization do?

A Director of Data Visualization oversees the design, development, and implementation of data visualization strategies within an organization. They lead teams that transform complex data sets into clear, actionable visual formats to support decision-making. This role often involves collaborating with data scientists, analysts, and business leaders to ensure visualizations meet organizational goals and communicate insights effectively. Additionally, they may set best practices, choose visualization tools, and guide the overall data storytelling approach.
What are the most commonly searched types of Data Visualization jobs in Washington? The most popular types of Data Visualization jobs in Washington are:
What cities in Washington are hiring for Director Data Visualization jobs? Cities in Washington with the most Director Data Visualization job openings:

Data Scientist - Senior

GRVTY

Springfield, VA โ€ข On-site

Other

Re-posted 4 days ago


Job description

What Impact You'll Have:ย 

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll Be Owning:ย 

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

What You Must Have:ย 

  • Active TS/SCI Clearance with ability to obtain a CI Poly
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations
  • Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

What Would Be Nice to Have:

  • Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.ย 
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products