Sr. Data Visualization Engineer (Full Time)

Job title: Sr. Data Visualization Engineer (Full Time)
Contract type: Full-time
Location: Fort Worth, Tarrant, Texas
Discipline: Data
Remote: No
Reference: 410092
Contact name: Peggy Acevedo
Job Published: January 01, 1970

Job description

Timing: October

Duration: Ongoing

Hours per week: 40+

Salary: $120-140K DOE


One of our well-known apparel retail clients is looking for a Sr. Data Visualization Engineer to join their team for an all-new full-time position.

This Sr. Data Visualization Engineer will be responsible for helping shape the brand's media and analytics strategy and enabling cross-platform and full-funnel attribution.

The Sr. Data Visualization Engineer must have strong hands-on technical analytics and data science experience, as well as the ability to engage and persuade senior level stakeholders within the company.


Ideal Sr. Data Visualization Engineer candidates will have:

- At least 5+ years of agency or brand-side experience building and managing data, reporting, and analytics processes

- BA degree in Statistics, Computer Science, Mathematics, Marketing Analytics or quantitative field

- Proven experience and confidence building attribution models - i.e. marketing mix, media mix, mutli-channel

- Expert level understanding of customer lifetime value and customer journey analysis

- Ability to create engaging data visualizations within BI tools (i.e. Tableau, Power BI, Domo, etc.) for variety of internal/external audiences - marketing, finance/accountings, merchandising, product development, etc.

- Ability to understand complex business processes and retail industry-specific analysis, translating them into requirements for visualizations that will help provide insights into data

- Fully proficient with advanced data visualization tools including Tableau Desktop, Domo, Microsoft Power BI, Looker, Congnos BI

- Complex problem-solving skills related to BI and Analytics

- Experience cleaning and processing data with at least one popular language (i.e. Python, R, Node)

- 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

- Strong understanding of the principles for visual display of information, including color hierarchy, understanding appropriate shapes to represent quantities and a design-oriented thinking focused on end-users


Nice to Have:

- Familiar with complex SQL statements.

- Experience with Redshift or other parallel databases

- Background in statistics and quantitative research/analysis


*Onsite position

**Relocation available

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