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Sr. Consumer Insights Consultant (Tracker Dashboard, Data Visualization)
What you'll do:
You'll make complex marketing research data more understandable by creating dashboards. You’ll import data from third-party sources into server and work with the team to build user-friendly visualizations and data tables. This role is 6 months, working 20 hours a week.
Responsibilities:
Lead the setup and integration of data visualization tools.
Help adopt and plan new dashboard software.
Design and develop interactive dashboards (using Tableau, Power BI, or similar) consisting of data tables and simple visualizations that allow researchers and marketers to query and filter data
Connect third-party data to internal platform.
Build interactive dashboards with easy-to-understand charts and tables.
Improve dashboards based on feedback.
Train users on how to use the dashboards.
Requirements:
5+ years experience creating dashboards with tools like Tableau, Power BI, or similar.
Skilled in integrating third-party data sources and building automated data pipelines.
Expertise in Data Transformation and Modeling: Fluent application of advanced SQL and data modeling techniques to transform unstructured, semi-structured, and structured datasets into analytical-ready formats. Experience leveraging schema design, indexing, and optimization strategies to enhance performance in large-scale datasets.
Mastery of Visualization Tools: Deep technical familiarity with visualization frameworks supported within enterprise environments—such as Tableau's live connections and extracts, Superset's SQL-based reporting, or Power BI's self-service tools.
? Expertise in Data Integration and Pipeline Design: Proven competency in architecting and executing seamless integration of third-party data sources (e.g., APIs, cloud storage systems like AWS S3, Snowflake) into internal analytics platforms
Proven competency in architecting and executing seamless integration of third-party data sources (e.g., APIs, cloud storage systems like AWS S3, Snowflake) into internal analytics platforms
Familiar with visualization tools and best practices for UX/UI.
Ability to simplify complex data into insights.
Experience working with large datasets and supporting decision-making.
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