Data Visualization Engineer Resume Sample
Lyla Keeling
248 Mueller Keys,
Philadelphia,
PA
+1 (555) 469 2674
Work Experience
Senior Data Visualization Engineer
02/2018
-
PRESENT
Phoenix, AZ
- 5 – 8+ years’ experience in developing SAP HANA models
- Fundamental data architecture and design skills
- Experience creating functional and technical specification documents
- SAP ERP or other module experience
- Knowledge of business concepts in Retail, Wholesale, Supply Chain, Sales, Finance, Merchandising
- Demonstrated ability to communicate effectively with senior leadership
- Possesses excellent organizational skills with the ability to manage multiple responsibilities
Data Visualization Engineer
06/2011
-
11/2017
Detroit, MI
- Comfortable working in a fast-paced, dynamic environment and committed to meeting deadlines
- Deep analytical, planning and problem-solving skills are required
- Demonstrated experience in data visualization in professional and/or academic projects
- Experience in (interactive) data visualization development (D3.js, Tableau, Qlik, Highcharts, R::ggplot2, Python::seaborn)
- Experience in front-end development using Javascript, Angular JS
- Strong knowledge of analytics and proficiency with applications such as SAS, SPSS, R, Python::pandas or equivalent
- Build impressive and innovative custom visualizations and tools that allow users to easily digest information and ultimately boost CS performance
- Work closely with Customer Service and Engineering teams to provide data driven decision support, flag anomalies and surface actionable insights. Present findings and recommendations, partnering with CS leadership on ongoing optimization
- Work closely with end users to understand the business needs. Prioritize and help build the BI roadmap and technology vision
Data Wrangler / Data Visualization Engineer
11/2006
-
05/2011
Houston, TX
- Provide end to end implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery
- Build data access tools to simplify how our stakeholders connect with our data, enabling better self service
- Essential- Enjoy creating impressive visualizations that make data insights easily digestible-
- Passionate about data and insights, extremely curious, possessing great attention to detail
- Thrive in a fast-paced environment and are self managed
- Strong expertise working with analytical tools, such as MSTR, Tableau, Shiny or R, to support data analysis, reporting and visualization
- Some experience working with Java or Python and an ability to build custom viz- Extensive experience writing SQL on various RDBMS (Oracle, Teradata, MySQL etc.)
- Understanding of Data Warehouse concepts and dimensional modeling
- Experience, with 2+ years of work experience in Tableau, SQL and data analytics
Education
University of Minnesota, Morris
2002 - 2006
Bachelor's Degree in Computer Science
Professional Skills
- Excellent BI Application development skills, demonstrated by having led, designed and implemented successful projects
- Experience designing, building, and iterating on interfaces, with a strong sense of the entire user experience, not just the individual pieces
- Critical thinking skills with the ability to quickly make decisive decisions from limited written and/or oral information; excellent reading comprehension
- UI and UX skills, with experience building web/mobile interfaces for displaying interactive visual insights
- Strong SQL skills with good understanding of the data modeling
- Strong presentations, organizational, and communication skills
- Excellent JavaScript and Node.js programming skills
How to write Data Visualization Engineer Resume
Data Visualization Engineer role is responsible for design, visual, modeling, architecture, java, training, integration, database, security, analysis.
To write great resume for data visualization engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Visualization Engineer Resume
The section contact information is important in your data visualization engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Data Visualization Engineer Resume
The section work experience is an essential part of your data visualization engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data visualization engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data visualization engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Visualization Engineer resume experience can include:
- Explore new technologies and learn new skills to continuously improve the way we operate
- Have a design and user experience mindset along with technical skills
- Demonstrated experience in key data visualization & supporting analytics tools such as
- Strong work ethic, intellectual curiosity, good judgment, and positive attitude
- Good to have Lumira hands on experience
- Prior experience with Business Objects, OBIEE, Tableau &/or Spotfire
Education on a Data Visualization Engineer Resume
Make sure to make education a priority on your data visualization engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data visualization engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Data Visualization Engineer Resume
When listing skills on your data visualization engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical data visualization engineer skills:
- Solid UI and UX skills, with experience building web and/or mobile interfaces for displaying interactive visual insights
- Fluent English and very good communication and interpersonal skills
- Experience working with distributed computing tools, such as MapReduce, Hadoop, Pig, Hive or other NoSQL or scripting experience
- Strong Experience using reporting BI tools Business Objects, Tableau
- Able to quickly and effectively discuss data visualisation ideas using graphic or UI design tools such as or like Adobe Photoshop, Adobe Illustrator or Sketch
- Experience in graphic design & solid grounding in design principles
List of Typical Experience For a Data Visualization Engineer Resume
1
Experience For Senior Data Visualization Engineer Resume
- Experience in data visualization; with at least 5-6 years of hands-on experience in Spotfire
- Solid BO experience
- Experience connecting front-end interfaces with Elasticsearch and/or SQL-based databases
- Experience of design & development of data centric applications leveraging data from enterprise data warehouses
- Perform product validations. Assist clients with ongoing support for applications
- Demonstrate proficiency at industry standard data modeling tools
- Experience working within Agile environment, preferably Scrum
- Extensive experience with D3 or another front-end JS data visualization library
2
Experience For Big Data Visualization Engineer Resume
- Experience in spotfire and OBIEE development
- Experience with BI tool development, preferably Looker
- Coordinate and validate code movement between DEV and STAGE
- Experience in Information technology projects
- Some React and Redux experience is ideal
- Experience with D3 or another popular web visualization framework
3
Experience For Data Wrangler / Data Visualization Engineer Resume
- Experience with QlikView/Tableau/Looker
- Experience with data visualization methods and tools (Desired: Tableau, Spotfire, Qlikview)
- Experience with other tools, like: Cognos, OBI EE, Business Objects, Microstrategy, PowerBI, d3.js, Caravel, chart.io etc
- Healthcare or managed care experience
- Experience with data extraction and analysis technologies such as SAS, SPSS, QlikView, Tableau, Hadoop, SQL or similar tools
- Experience with wire frames and mock ups
4
Experience For Tableau Data Visualization Engineer Resume
- A strong knowledge of R and/or Python
- Experience with SAS and Big Data tools (i.e. Spark, Hive, Hadoop, etc)
- Gathering and documenting client requirements and translating these into process and UI architecture designs
- Providing thought leadership and actively participating in the application design, implementation, and roll-out of Teradata and ThinkBig solutions
- Building and implementing models with R and TERR in Spotfire
- Working with product, marketing and operation teams and management to articulate UI/UX needs and identify opportunities for new UI/UX capabilities
5
Experience For Data Visualization Engineer, Senior Resume
- Translating requirements from the design and product teams into working products
- Staying up to date and learning the most recent technologies (Hadoop, Hive, Impala, Spark, R, Python, D3.JS, Tableau, Spotfire, Angular.JS, React.JS, etc.)
- Translating requirements from the design and product teams into working web apps
- Understanding of Design Thinking
- Designing solutions that solve complex business problems
- Searching and fuzzy logic
- Working knowledge with version control (e.g. SVN, Git) and continuous integration (e.g. Jenkins, TeamCity) tools
6
Experience For Project Data Visualization Engineer Tableau Resume
- Design and develop eye-catching data visualisation demos and storylines, adding to and expanding Teradata solutions and Think Big Analytics consulting services
- Shape our data visualisation and UI design consulting business by leading business development efforts and consulting projects
- Analysis of existing BI interfaces & reports for HEF & IF business, HLD and LLD for existing reporting universe
- Data mapping support from Legacy systems to Lease Wave, Requirement Gathering & Development of reporting universe (Business Objects & Spotfire) / Reports
- Create dynamic, interactive, and insightful reporting dashboards for monitoring key performance metrics, trends and revealing insights
- Be part of a data engineering or cross-disciplinary team on internally-facing development projects, typically involving large, complex data sets
- An understanding of the key techniques and theory used in visualization, including graphical perception and techniques for visual encoding and interaction
7
Experience For Data Visualization Engineer Resume
- Redesigns and modifies existing universes to accommodate the business reporting needs in maintenance
- Apply machine learning algorithms to create predictive trending and generate actionable insights and solutions to address complex business problems
- Basic understanding of distributed computing, big data and AWS architecture
- Identify analytics tool guidelines and standards for performing required data preparation, analysis, visualization, and reporting
- Create intuitive data visualizations to enhance cognitive understanding of the underlying data. Determine the best means of expression
- Directly contribute to the business by working on revenue generating projects
- Background with programming and scripting languages such as Java, JavaScript, R, and Python
8
Experience For Senior Data Visualization Engineer Resume
- Working with or analyzing data
- Produces functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts
- Knows business structure & levers supporting business goals; knows pricing and cost drivers
- Engage with Wave and other product owners. This includes driving features and functions requests back into the vendor for inclusion in the product(s)
- Passion for solving problems with data
9
Experience For Big Data Visualization Engineer Resume
- Work with business users, project team to understand the application and reporting requirements
- Design BO universes to accommodate complex business reporting requirements
- Exhibit understanding of business domain
- Coordinates UAT testing of the BO reports with users and technical team
- Collaborate with Product Development and Technology to extract KPIs from our existing business systems
- Build Dashboards and Interactive reports using Analytics Cloud in enterprise data warehouse for the researched domain
- Implement solutions using JavaScript-based data visualization libraries and tools (D3, AngularJS React, etc)
10
Experience For Data Wrangler / Data Visualization Engineer Resume
- Analysis of LW DM data model and request enhancements with Odessa as per reporting needs
- Support SIT, UAT and Deployment planning & Production Support, Project Documentations
- Develop Spotfire reports utilizing advanced data visualization techniques and related SQL
- Hands on development of Business Objects backend development, including objects and universe design
- Build visual interfaces, shared visualization components, and custom visualizations for communicating data
- History of filtering the signal from the noise in datasets and visually
List of Typical Skills For a Data Visualization Engineer Resume
1
Skills For Senior Data Visualization Engineer Resume
- Prior experience with BI Visualization tools like Tableau and open source tools like Superset, Redash or Metabase
- Uses teamwork skills to understand vision, achieve goals, solve problems, and manage conflict. Identifies individual differences
- Data visualization and data presentation skills with expertise on tools like, but not limited to, Tableau and Spotfire
- Experience in designing, building, deploying and maintaining scalable, highly available and performance optimized data visualization solutions for enterprise
- Experience working on linux/unix shell scripting and scheduling tools like Appworx or Autosys
- Experience analyzing data using SQL, Python, R, or another programming language
- Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
- 5 yrs. experience in designing and developing Data visualization, preferably using Spotfire
2
Skills For Big Data Visualization Engineer Resume
- 2 yrs. experience in designing and developing Data visualization, preferably using Spotfire
- Experience analyzing data using Python, R, or another programming language
- Experience writing queries and using software tools to put together reports and analysis to drive key business decision-making
- (Web) development experience using common scripting languages and technologies such as JavaScript, HTML/CSS, .Net, JQuery etc
- Strong knowledge in Data warehousing & Dimensional Modelling
- Experience building modern JavaScript applications using React, ES6, Redux, Flux, Bootstrap, REST/JSON and an implementation of the flux pattern
- Experience in building dashboards on large and complex data set to provide easy maneuvering for users
3
Skills For Data Wrangler / Data Visualization Engineer Resume
- Strong in Debugging and Troubleshooting abilities
- Experience in analyzing data with programming languages (Python, Java)
- Experience with consuming and building Rest APIs
- Professional experience performing data analytics and building user interfaces, visualizations, and data algorithms
- Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights
- Extensive experience manipulating and analyzing complex data with SQL (Hive / Presto / Spark)
- Practical experience building and evaluating visualizations
- Experience cleaning and processing data with at least one popular language (e.g. Python, R, Node)
- Experience with new and existing project development using agile methodologies
4
Skills For Tableau Data Visualization Engineer Resume
- Experience building web/mobile interfaces for displaying interactive visual insights
- Experience working as a Database Analyst working with PostgreSQL, Greenplum, Oracle and MS SQL databases
- Experience with cutting-edge JavaScript libraries and frameworks including d3, React, and redux
- Working experience in in different enterprise departments, thereof 3+ in Data related area
- Experience in building up teams and businesses, preferably in a start up like environment
- Experience using PowerBI
- Experience implementing Data warehouse & Big/Small data designs with automated MDM and data quality capabilities
- Experience with industry standard data modeling tools (e.g., ERWin, ER Studio, etc.)
5
Skills For Data Visualization Engineer, Senior Resume
- Experience with BI / BA visualization and/or reporting tools (Expert level knowledge of other Modern BI Platforms like Tableau, Spotfire, Qlik,)
- Experience with BI / BA visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire)
- Track record UI/UX capabilities, and experience in handling large data sets
- Formal training in User Experience (UX) methods and processes
- Real time data streaming visualization experience
- Experience with Python web development using either Flask, Django or Tornado
- Research experience in the areas of scientific visualization, data analysis and high performance computing
- Experience of design & development of data centric applications leveraging data from enterprise data warehouses
6
Skills For Project Data Visualization Engineer Tableau Resume
- Experience with core data structures as well as algorithms (and the ability to implement them using language of choice when necessary
- Experience and understanding of how to optimize service data and visualization for size or speed
- Experience collaborating with advanced analytics professionals
- Experience with core data structures as well as algorithms (and the ability to implement them using language of choice when necessary)
- Experience in various querying languages (SQL, PL/SQL, HQL, etc.)
- Experience with scripting languages (Javascript, Python, etc.)
7
Skills For Data Visualization Engineer Resume
- Extensive Tableau experience is required, including viz development, complex multi-workbook environments, and optimizations for very large scale data
- Extensive experience using SQL to transform data tables into meaningful data sources
- Experience building repeatable pipelines to transform raw data into other formats for visualization or analysis
- Experience making a variety of static and interactive visualizations for a variety of audiences
- BS or BA in a technical or design field, specialized training, or equivalent work experience
- Experience of design & development of data centric applications leveraging data from enterprise data warehouses
- Several years of practical experience with data visualisation and corresponding UI technologies such as Tableau, Qlik, Microsoft Power BI, D3, Shiny, react etc
8
Skills For Senior Data Visualization Engineer Resume
- Solid understanding of software development lifecycle and Agile scrum methodologies
- Experience in B2B and B2C environment
- Experience with gamification and mobile data consumption
- Hands-on experience in solving analytical problems using quantitative approaches
- Identifies needs for novel methods/tools; validates new tools and methodologies
- Focused on customer experience
- Gather requirements from internal stakeholders; translate concepts into user flows, wireframes, mockups and prototypes that lead to intuitive user experiences
- Experience with presenting sales, customer metrics, and/or agricultural business data
- Experience in Customer Service analytics
9
Skills For Big Data Visualization Engineer Resume
- Experience with R, SAS, or other statistical package
- Previous experience with alternative media such as video walls
- Experience with D3.js, Raphael.js, or comparable data visualization front
- Web development experience
- Experience and affinity for visualization methods and techniques
10
Skills For Data Wrangler / Data Visualization Engineer Resume
- Experience with data visualization methods and tools
- Experience with other tools, like: Informatica, Talend, OBI EE, Business Objects, Microstrategy, PowerBI, d3.js, Caravel, chart.io etc
- Experience with relational databases (e.g. Postgres, Oracle, SQL Server)
- Experience in Unix/Linux environments (e.g. RedHat/CentOS)
- Experience with big data technologies Hive, Spark
- Relational, no-SQL, and/or columnar data experience
List of Typical Responsibilities For a Data Visualization Engineer Resume
1
Responsibilities For Senior Data Visualization Engineer Resume
- Demonstrated ability and desire to lead projects start to finish, working with internal and external teams to make decisions and maintain momentum
- Motivated and able to work independently, with a track record of developing an idea into a polished product
- Entrepreneurial spirit and out-of-the-box thinking
- Building data visualizations
- Organize, deliver, and ensure data integration support of a scientific computing capability
- User activity logging implementation
- Develop and deliver data visualization solutions solving complex business problems/questions
- Be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility outcomes
2
Responsibilities For Big Data Visualization Engineer Resume
- B.S. or M.S. in Computer Science, MIS, Engineering or related field
- Formal training in graphics design
- Ability and willingness to travel, as required Occasional travel when needed to a business site. Currently the major project going on is in Schenectady, NY
- Building data visualizations
- Develop and test data visualization solutions for
- Prototype and transform ideas into polished products quickly
- Coordinates the BO universe and reports releases to QA and production environment and provide necessary knowledge trainistion to support team
- Act as a trusted advisor for data visualisation solutions and services for our clients and prospects
- Spearhead the evangelisation of and demonstrate the power of data visualisation and UI design inside Teradata, i.e. by teaching, leading community activities, running workshops and by building reusable assets
3
Responsibilities For Data Wrangler / Data Visualization Engineer Resume
- Relevant data visualisation and UI design experience (i.e. visualising complex data, designing data-rich user interfaces, data-driven design and development of charts, dashboards and infographics etc.), ideally in a consulting function
- Result oriented self-starter, with an ability to lead and mentor other team members
- Be familiar with data visualisation and UI design techniques such as mock-ups, journey mapping or wireframing to capture business and data visualisation requirements
- Bachelors or Masters in Computer Science, Business, Finance, or other relevant disciplines
- Leverage Treasury Data Lake and data
- Development of BI interfaces for HEF and IF business with Lease Wave Data mart
4
Responsibilities For Tableau Data Visualization Engineer Resume
- Works closely with teams and individuals to design and create reports to ensure accurate data
- Build intuitive and actionable executive level and more tactical dashboards and reports
- Build Data models & Data warehouse to support and enhance current data model/sources
- Collaborate with Data Engineers to iterate on the design and implementation of data visualization products
- Work with Business to build features into the Sparkola UI
- Champion the relationship between Data Science, Design, and Product teams
- Knowledge of query languages, APIs, data pipelines, and how to work with them in practice
- Convey complex analyses with the most efficient and intuitive visual methods and the ability to effectively communicate how the models work and the results to the leadership team as well as in regulatory proceedings
5
Responsibilities For Data Visualization Engineer, Senior Resume
- Produce visualizations, optimized to communicate underlying data, and to enable users to drive insight
- Identify meaningful insights from big data and metadata sources, documents, interpret and communicate insights and findings
- Responds to internal and external data requests
- Established data visualization techniques and best practices
- Design database schemas, query, and aggregate data, as well as consume and process data from a variety of sources and forms
- Open to explore different visualization toolsets
- Construct visualizations to support data scientists and business analysts
- Contribute to the construction of an automated dashboard pipeline
6
Responsibilities For Project Data Visualization Engineer Tableau Resume
- Able to do data analysis and data quality checks
- Knowledge of visualization best practices
- Work independently to model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business reporting requirements
- Follow native HANA development standards in accordance with UA best practices
- Work with Key Stakeholders on gathering business requirements; develop a technical plan with duration estimates. Execute the plan and deliver the required deliverables within the time estimate
- Responsible for daily support of the data warehouse and associated data marts
- Coordinate with SAP Basis, infrastructure, CM to align with change management processes and to ensure performance, processes and access is optimal for our global reporting solutions
7
Responsibilities For Data Visualization Engineer Resume
- Work collaboratively to align business requirements with reporting and analytical solutions
- Improve processes regarding data flow and quality to improve data accuracy, viability and value
- Interact with the client business community to gather/develop functional and technical requirements and translate them into reporting solutions
- Implement a high-performance data platform for fast ELT processing and curation
- Coordinate the implement of data infrastructure for emerging data classes
- Document development for peer reference and knowledge transfer
8
Responsibilities For Senior Data Visualization Engineer Resume
- Develop and mentor more junior developers
- Refactor legacy data platforms to integrate with the high-performance data platform
- Implement data quality infrastructure and processes
- Define standards for and implement improved analytics tools
- Implement support structure for standard tools
- Identify and integrate new visualization tools into the Syngenta landscape
- Provide business and architectural context to show how the analytics tools fit within the overall infrastructure and high-performance data architecture
9
Responsibilities For Big Data Visualization Engineer Resume
- Make improvements to the network graph, or visualization of the data
- Design, functional and test documentation
- Develop and maintain engaging and intuitive web interfaces and dashboards that enable business analysts and engineers to explore and interact with data and analytical models built by the Data Science & Analytics group
- Work closely with other Data Scientists in the group, IT engineers and business stakeholders throughout the company to integrate developed tools into dashboard / web interface solutions as well as static reports
- Leverage consulting, business advisory, and strong business acumen to understand your audience, identify needs and opportunities for data visualization, and lead efforts from concept to final deliverable
- Design interfaces for exploring information to increase customer engagement
- Use design principles to explain complex statements and concepts, ensure consistency of analytic data products
- Identify & suggest actions/responses to information presented
10
Responsibilities For Data Wrangler / Data Visualization Engineer Resume
- Perform data analysis and as appropriate, compose data driven stories, with narrative and annotation. Lead presentations as required
- As appropriate, leverage advanced chart types: graphs/networks, maps, treemaps, etc
- Work collaboratively with project teams, end users/stakeholders to understand business objectives & requirements
- Work independently and multiple projects simultaneously
- Develop and build data models that are easily consumed by data visualization solutions
- Be proficient in multiple ETL /MDM tools
- Implement Data warehouse & Big/Small data designs with automated MDM and data quality capabilities
- Be required to act as a talented visualization engineer who can help jump-start the end users into building meaningful, easy-to-understand reports and dashboards
- Help superusers accelerate through learning curves
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