Job Description

At Playfair Data - The Visual Analytics Consultancy, our mission is to be the best resource for turning raw data into valuable insights. We believe the key to extracting value from data is visualization, which is why our name is a nod to the inventor of data visualization, William Playfair. Our fanatical focus is on the processes and tools that allow us to communicate data in a way that causes positive actions for organizations all over the world.

The Visual Analytics Engineer has responsibility for building world-class decision-making tools that cause action for Playfair Data’s diverse portfolio of clients.

Essential Functions -

1. From conception to completion, build moderate to high complexity visual analytics tools customized to the unique needs of Playfair Data’s diverse portfolio of clients.

a. Establish and cultivate trust and good working relationships with client contacts.

b. Assist with new project kick-off meetings. Schedule, set and communicate the agenda for, and lead other significant project-related meetings to include Playfair Data and client stakeholders.

c. Participate in the Discovery phase of Playfair Data’s Decision-Ready Dashboard framework to identify client business objectives and dashboard requirements. 

d. Lead the Data Preparation, Dashboard Development, and Distribution phases of the Decision-Ready Dashboard framework.

• Shape data for use. Provide solutions to data engineering needs, including validating, consolidating, and cleaning data. As needed, provide recommendations on tools and systems for storing client data and improving their ETL processes.
• As appropriate, work with Visual Analytics Architects to build design-centered wireframes that follow client brand and style guidelines.
• Conduct quality assurance throughout the project lifecycle to ensure the highest level of data and user experience integrity.
• Support client efforts to push dashboard deliverables to production by publishing workbooks and automating data feeds.

e. Utilize various project management tools and software to track project milestones.

f. Host feedback sessions with client stakeholders throughout the development process to ensure client satisfaction and fulfillment of project goals.

g. Report business intelligence insights to the client throughout the duration of an engagement.

• Identify trends and use data to recommend solutions to business problems.
• Find and suggest new opportunities for data collection and data visualization.

h. Upon the completion of a project, draft formal documentation to provide to clients detailing how to maintain and refresh their visualizations with new data. As requested, deliver screen-share or in-person demonstrations of dashboards to client leadership and other key stakeholders.

i. Track and record time spent on client communications and projects.

Percent of time:  90%

Other Important Functions -

1. Author blog content, and if inclined, film videos for Playfair+.

Estimated percent of time: 5%

2. Evangelize Playfair Data’s world-class products, services, and people.

a. Promote Playfair Data within his/her circles of influence.

b. Keep up to date and serve as a knowledgeable resource on relevant software and hardware features and industry trends.

c. Help prepare compelling project and engagement proposals and attend and assist with client pitches and other meetings, as requested.

d. Identify new opportunities, tools, and practices for enhancing creativity, innovation, communication, efficiency, and growth at Playfair Data. 

e. Promote positive collaboration between the engineering team and other Playfair Data colleagues.

Estimated percent of time: 5%

Education/Experience -

Education

[ ] No specific requirements

[ ] High School diploma or equivalent

[ ] Associate's degree

[X] Bachelor's degree

[ ] Master's degree

[ ] PhD

[ ] Other ___________________________________

Related Work Experience

[ ] No Experience necessary / On-the-Job Training

[ ] 1 year experience

[X] 3 years experience

[ ] 5 years experience

[ ] 7 or more years experience

Additional knowledge, skills, abilities, or work experience, if any, are necessary to complete the essential functions. They must:

•  Be reliable, responsive, and conduct him/herself in a professional manner.
• Demonstrate a commitment to timeliness.
• Pay careful attention to detail, maintain accuracy, and focus while working with data.
• Possess good written, verbal, and interpersonal communication skills, and be able to interact effectively with a wide variety of personality types. 
• Have excellent analytical skills, project-management skills, as well as be capable of working independently and prioritizing, coordinating, and delivering on multiple projects with and without the pressure of externally imposed deadlines.
• Be able to quickly and independently gain an understanding of different industries and individual companies, and their needs, organizational structure, culture, and vernacular. 
• Be discreet and able to maintain strict client and company confidentiality.
• Have the ability to use a computer keyboard and be able to tolerate repetitive motion and eye strain resulting from extensive utilization of computer hardware and software.
• Be able to lift at least thirty pounds, climb stairs, and stand and walk for long periods.
• Be willing and able to travel domestically for client and company meetings and events hosted across the United States.
• Be adept in Tableau, Power BI, and/or Oracle Analytics.
• Be familiar with Trello or like kanban tools (i.e., JIRA, etc.), Excel, and Google Workspace products (i.e., Gmail, Google Drive, etc.)
• Possess existing U.S. work authorization (at this time, Playfair Data is unable to provide Visa sponsorships for any position).

Miscellaneous -

To whom does this position report? Playfair Data's Director of Analytics Engineering

Note: This job description includes most of the duties and responsibilities for which an employee will be held accountable. As the job evolves, an employee should expect to complete other duties as assigned that may not be specifically listed above.

Review/Revision Date: September 22, 2025

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