Maleda Tech

Compensation

Full Description

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.