Title: Data Visualization Engineer – Consumer Insights

Employment Type: Contract (W2) | Part-time

Location: Remote

Duration: 6 months (ASAP – 03/31/2026)

Hours: 20 hours/week (flexible across 5 days)

Max Rate: $190/hr (USD)

The Difference You Will Make

As a Data Visualization Engineer – Consumer Insights, you will transform complex marketing research output from a global tracking study into a network of intuitive dashboards. Your work will make critical data more accessible, digestible, and actionable for cross-functional teams.

You will integrate third-party data sources into internal systems, design interactive dashboards, and provide data tables and visualizations that empower teams to query, track, and measure their KPIs.

This is a temporary, project-focused role (approx. 6 months, 20 hrs/week) dedicated to completing data source integration, dashboard network development, rollout, and iterative improvements.

Responsibilities

Lead implementation and integration of data visualization software, including tool selection.
Guide planning and adoption of a new dashboard environment.
Integrate third-party data sources into internal analytics platforms (Tableau or equivalent).
Design and develop interactive dashboards (Tableau, Power BI, Looker, etc.) with data tables and visualizations for researchers and marketers.
Optimize dashboards for usability, performance, and accessibility.
Iterate and refine dashboards based on feedback and evolving data.
Provide training and documentation to help users interpret and interact with dashboards.

Qualifications

Data Visualization (5+ years): Demonstrable expertise designing scalable dashboards and visual analytics solutions using Tableau, Power BI, Looker, or equivalent platforms.
Data Integration & Pipelines: Strong experience integrating third-party data (APIs, AWS S3, Snowflake, etc.) into analytics platforms; ability to build automated ETL workflows.
Data Transformation & Modeling: Advanced SQL and data modeling skills; ability to transform structured/unstructured data into analysis-ready formats.
Visualization Frameworks: Familiarity with enterprise visualization systems (e.g., Tableau live/extract, Superset, Power BI self-service).
Insights Generation: Skilled in distilling complex datasets into actionable insights with intuitive UI/UX dashboard design.
Large-Scale Data Handling: Experience with complex, high-volume datasets (marketing research, consumer behavior, operational metrics). Familiarity with statistical or predictive modeling a plus.

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Data Visualization Engineer – Consumer Insights

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