Data Visualization Engineer Job Description
Data visualization engineer
provides technical leadership in the area of big data systems development including data ingestion, data curation, data storage, high-throughput data processing, analytics, user access, and security.
Data Visualization Engineer Duties & Responsibilities
To write an effective data visualization engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included data visualization engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Partner with the Content team to understand their goals, how they think about their area of the business, and how we can support them through analytics
Architect and engineer tools, visualizations and dashboards for Content to have everything they need at their fingertips to answer their difficult questions
Produce dashboards / visualizations for Content to explore
You’ll explore and experiment with the latest libraries and technologies like D3, HighCharts , etc…
You will work on a small team with some of the best and brightest co-workers you’ve ever had
You’re tenacious, persistent, & industrious
Micromanagement makes your skin crawl
You leave your desk & collaborate
You move seamlessly between code and analytical concepts
You’re an active listener who asks good questions and puts the company first
Data Visualization Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Visualization Engineer
List any licenses or certifications required by the position: BI, ITIL
Education for Data Visualization Engineer
Typically a job would require a certain level of education.
Employers hiring for the data visualization engineer job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Statistics, Science, Mathematics, Technical, Information Systems, Design, Business, Computer
Skills for Data Visualization Engineer
Desired skills for data visualization engineer include:
Big query
Area of responsibility to create technical designs driving towards simple
Qlik
Reusable solutions
Sustainable
Equivalent industry experience
Data modeling
BNP Paribas Group activities and organization
Cyber security and maintains an awareness of current developments
Data analysis
Desired experience for data visualization engineer includes:
You appreciate beauty & simplicity
Partner with Marketing to understand their goals and how data can support them
Deliver ad hoc analysis using Tableau, MicroStrategy or SQL to answer timely questions
Produce dashboards and visualizations for Marketing to explore
Acquire data from source systems to our data warehouse to support any of the above
A sense of ownership and urgency resolving problem issues
Data Visualization Engineer Examples
1
Data Visualization Engineer Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data visualization engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data visualization engineer
- You appreciate beautiful & simple technical solutions
- Understanding the questions our construction customers want to answer by collaborating with customers and internal experts across disciplines (data scientists, product management, business leaders, industry strategy, consulting, customer engagement)
- Be a bridge between the business and tech, enabling insight that can empower better decision-making
- Work closely with Customer Service and Engineering teams to provide data driven decision support, flag anomalies and surface actionable insights
- Work closely with end users to understand the business needs
- Identify impact on existing model/ solution triggered by new/changed requirements
- Execute QA testing and resolve any defects
- Write SQL to explore source data, data issues, Identify impact on existing model/ solution triggered by new/changed requirements
- Evaluate new visualization technologies and methods to constantly improve the offering
- Work with our team of 60 data scientists to communicate their work (data, insights, recommendations) to the rest of the organization through web visualization, dashboards, cockpits, and bots
Qualifications for data visualization engineer
- Contribute in discussion / proof-of-concept works on Qlikview related solutions for strategic platform
- Implementation experience with industry standard Business Intelligence/Data Visualization tools such as Cognos, Tableau, Pentaho or Qlikview
- Undergraduate and/or advanced degree in Data Science, Information Science, Statistics, Computer Science, Information Engineering or a related field
- Backend experience with Ruby on Rails a plus
- Knowledgeable in data visualization best practices and software packages and APIs such as Tableau, Lumira, Gridster, and Pop-App
- A minimum of 6 months experience with Tableau Desktop & Server or it’s equivalent
2
Data Visualization Engineer Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of data visualization engineer. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data visualization engineer
- Be comfortable outside of your comfort zone - explore new tech, build your own tools, jump into ETL when needed, or find a new way to address an old problem
- Be a vocal and proactive partner to your stakeholders
- Work with the finance experts, data scientists, and data engineers to develop metrics & analytical approaches to understand nuance around title performance and find what to look for our next great Original
- Live and breathe full stack data visualization services
- Commit to disciplined Software Engineering - TDD is how you roll, documentation is second nature to you, code reviews are a way of life, and your high quality code is always production ready
- Work closely with the open-source community
- Developed full stack client/server/distributed Java, C# or C++ applications in a Linux/UNIX environment
- Enough work in Python, Perl, Ruby, Go, Scala to be able to become an expert if necessary
- Worked with time series DBs, log and metric collection frameworks, message bus and other aspects of data streaming and analytics platforms using Apache Kafka, OpenTSDB, Logstash, ElasticSearch or equivalent technologies
- Used Java management technologies including JMX, MBeans, Java management features and SNMP
Qualifications for data visualization engineer
- Familiarity with building Web Applications (MVC concepts/frameworks like ember.js, angularjs, ..)
- Familiarity with UI/UX concepts
- Having a strong Analytical/quantitative background
- Some experience working with Java or Python and an ability to build custom viz- Extensive experience writing SQL on various RDBMS (Oracle, Teradata, MySQL )
- Bachelor’s degree from an accredited college or university in Information Design, Interaction Design, User Experience, Human Computer Interaction, Informatics, Data Science, Computer Science or a similar field with seven years of experience
- Solid understanding of visual composition and visualizations
3
Data Visualization Engineer Job Description
Job Description Example
Our company is hiring for a data visualization engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data visualization engineer
- Demonstrated passion, ability, a willingness to learn quickly and a mindset to make a difference
- Collaborate with internal customers to establish requirements and deliver innovative solutions
- Experience in storytelling with data and knowledge in principles of dashboard design preferred
- Knowledge of data intelligence & analytics strategies best practices
- Architecture the business requirements and processes and build universes - should have work experience in Universe Design Tool and Information Design Tool
- Build visual interfaces, shared visualization components, and a custom visualizations that display interactive visual insights to the users
- Lead the team in technical design and architecture solutions
- Develop and design front-end applications using JavaScript, CSS, HTML, and Bootstrap
- Create wireframes, prototypes and sitemaps to communicate design components
- Guide principles for data visualization for all interfaces and tools built
Qualifications for data visualization engineer
- Master’s or Bachelor’s in Data Science, Mathematics, Statistics, Economics, Engineering
- 5+ years of analytics experience with specific focus on Visualization tools, methodologies, and/or responsibilities
- Experience in HTML5 and CSS, modern Javascript frameworks like Bootstrap, Angular.js, D3.js
- Knowledge in Tableau server administration including user level access/security, Extract refresh & scheduling
- Ability and willingness to travel, as required ***Occasional travel when needed to a business site
- Strong web UI programming skills
4
Data Visualization Engineer Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data visualization engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data visualization engineer
- Collaborate closely with the Business Development team to begin building a project portfolio
- Collaborate closely with Engineering Management to grow the technology portfolio and team
- Design and prototype data visualizations and interactions that support users' performance and decision making
- Engage with the collaborative, interdisciplinary team already in place that seeks to build systems that are useable, useful, and improve the user's performance
- The Senior BI Data Visualization Engineer will be responsible for driving, enhancing and advocating data and analytic visualization internally and externally for EIS
- Create world class visualizations that allow the business to quickly comprehend and utilize our extensive data to make fact based business decisions
- Detailed understanding of EIS data sources and back end structures
- Introduce EIS to data science and predictive analytics
- Work directly with back end BI engineers to enhance and improve business data sources
- Create an EIS data visualization Center of Excellence and a network of EIS users to promote best practices, improve business development skill sets (dashboards and extracts) and understanding of EIS data sources
Qualifications for data visualization engineer
- Familiarity with frontend data visualization libraries is a plus (D3, HighCharts, Protovis, etc…)
- Familiarity with building Web Applications (MVC concepts, frameworks like Django, CherryPy, or Ruby on Rails, etc…)
- Experienced with web front-end development (HTML, CSS, Javascript)
- Experienced with data visualization libraries
- Proven hands-on experience with Functional /Conceptual modeling
- Passion for data visualization and endless curiosity with data
5
Data Visualization Engineer Job Description
Job Description Example
Our company is growing rapidly and is hiring for a data visualization engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data visualization engineer
- Ability to identify trends, anomalies and outliers
- Strong focus on performance - data extract and visualization optimization
- Stay informed on new reporting and analysis solutions and tools, primary focus in AWS
- Advocate data discovery and fact based decision making across EIS
- Partner with Product Management team on the definition of new analytics products for EIS in the area of electronic resource management
- Provide primary support for all front end questions and issues that cannot be effectively resolved by business teams
- Engage with business clients to understand information needs and translate them into clear requirements optimal structures/layouts for dashboards and reports
- Extend open source tools like Supersets to support our unique requirements for visualization, security, data access, et al
- Conduct analysis on Big Data to prototype new metrics and perform analysis
- Partner with Data Engineering team to develop core data sets to build self service delivery of data models to business users
Qualifications for data visualization engineer
- Microstrategy, Microstrategy SDK
- Web Frontend Development (HTML, CSS, Javascript)
- Resilient architecture and coding skills
- Experience with Javascript libraries such as Backbone, D3, Leaflet or similar libraries
- A keen eye for design and user experience is a plus
- Expertise in Javascript (core language, Node.js, asynchronous patterns, working knowledge of at least one framework including React, Angular, Backbone)