Business Intelligence Engineer

Description In this role, you will make complex, marketing research output data from a global tracking study more broadly accessible and digestible by conveying into a network of dashboards. You will integrate the data from a third party source into a controlled server, and then work with the Consumer Insights team on building data tables and simple visualizations that allow cross-functional teams to track, query, and measure their respective KPIs. This is a temporary position with the objective of completing this new data source integration, dashboard network development, rollout, and revisions in about 6 months of 20/hrs per week. The ideal candidate excels at creating intuitive dashboards that empower teams to make data-driven decisions. Duties Own Lead implementation and integration of data visualization software, guide tool selection. Guide adoption and planning of a new dashboard tool installation. Lead integration of third party data source(s) to internal Tableau (or alternative) server. 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. Optimize tables and simple charts for usability, performance, and accessibility. Iterate and improve dashboards based on stakeholder feedback and evolving data. Provide training and documentation to users on interpreting and interacting with dashboards. Requirements Advanced Experience in Data Visualization for Business Intelligence: Minimum 5+ years of demonstrable expertise designing scalable, high-impact dashboards and visual analytics solutions using industry-standard tools such as Tableau, Power BI, Looker, or equivalent platforms. 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. Demonstrated ability to construct automated ETL pipelines and workflows to enable efficient data transformation, ingestion, and reporting. 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. Data to Insight Expertise: Demonstrable ability to distill intricate datasets into actionable insights through interactive, intuitive data tables. Expertise with principles of visual communication, UX/UI design for dashboards, and interactive reporting. Large-Scale Dataset Management: Hands-on experience in manipulating, processing, and analyzing datasets of scale and complexity, including but not limited to marketing research output, consumer behavior data, and operational metrics. Familiarity with statistical and predictive modeling to support decision-making. Compensation $150.10 - $172.41/hr W-2 Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Internet Marketplace Platforms #J-18808-Ljbffr Cypress HCM