Data Visualization Analyst (fractional)
JOB DESCRIPTION
We are looking for a driven-data analyst that takes pride in creating visually-pleasing and meaningful dashboards. You will have the opportunity to work with unique data sets and our data science subject matter expert (SME) to design industry-leading collection activities for the visualization of human risk metrics. The ideal candidate will be a self-starter and passionate about clean, efficient data visualization. This position could begin as a remote, fractional-to-hire position with the potential to become a full-time position.
Who you are…
Strong background in data visualization and scorecard design, implementation and maintenance required
Basic understanding of statistics
Strong attention to detail and accuracy.
Critical thinker with the ability to work autonomously as seamlessly as they work in a team
2+ years of experience as a Tableau developer or working directly with Tableau including troubleshooting
Ability to develop and automate data streams and push/pull analytics
Ability to design and integrate workbooks and worksheets into visually appealing and quantitatively meaningful dashboards, graphs, click through analytics and visual metaphors
User-centric focus on driving toward actionable insights
Adherence and documentation of data management regulations and policies.
May be asked to mentor/train junior Tableau and data visualization developers
Develop consistent, repeatable, data processes that ensure consistency across the entire org
Perform detailed data analysis from a variety of source systems
Work with the data architect, systems analyst and subject matter experts (SMEs) to understand the data and align this with the data visualization requirements
Desired Qualifications:
Robust SQL skills (window functions, normalization, procedures, validation)
Familiarity with data warehouse development
Experience gathering requirements that identify root cause analysis
Some experience with R or Python, especially using open-source visualization tools (i.e. Shiny, D3, Bokeh)
Some experience with Machine Learning
Extensive knowledge of research and analysis for a business setting
Working Conditions:
Fast paced, start-up environment