About the job
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
We are in search of a talented Tableau Engineer to enhance our analytics capabilities. In this vital role, you will tackle a variety of analytics requests, converting raw data into meaningful insights, and refining our existing dashboards.
You will act as a crucial analytics partner for business stakeholders, overseeing the entire development cycle. This encompasses requirement gathering, data model creation, sophisticated dashboard development, and presenting your findings to leadership. This role is ideal for a technical developer eager to solve data-related challenges while collaborating closely with various business units.
Your Responsibilities
- End-to-End Development: Design, create, and implement interactive dashboards to fulfill business needs.
- Stakeholder Collaboration: Collaborate with key business stakeholders to understand their requirements and challenges, defining relevant metrics.
- Data Modeling & ETL: Manage the data pipeline for your analytics. Write advanced SQL queries and utilize Tableau Prep for data model construction and cleanup processes.
- Advanced Dashboarding: Develop scalable visualizations leveraging complex Tableau calculations, including LOD expressions, table calculations, and parameters.
- Optimization: Review, enhance, and optimize existing dashboards to elevate performance, accuracy, and user experience.
- Presentation: Share your analysis, dashboards, and insights with business stakeholders and leadership for constructive feedback.
- Quality & Governance: Ensure that all solutions are clean, professional, and user-friendly. You will work in a continuous-flow Kanban-style environment while adhering to all data governance standards.

