Discover and apply for Tableau and Data Analytics Engineer jobs, a dynamic and in-demand career at the intersection of data visualization, business intelligence, and data engineering. Professionals in this role are the architects of actionable insight, transforming raw, complex data into clear, interactive, and strategic dashboards that drive business decisions. They serve as a critical bridge between data infrastructure and business stakeholders, ensuring data is not only accessible but also meaningful and reliable. A Tableau and Data Analytics Engineer typically engages in the full lifecycle of business intelligence. Core responsibilities include designing, developing, and maintaining scalable Tableau dashboards and reports. This involves writing complex SQL queries to extract and manipulate data from various sources like data warehouses (e.g., Snowflake, BigQuery, Redshift) and relational databases. They perform data modeling to structure information efficiently for reporting, ensuring optimal dashboard performance and data accuracy. A significant part of the role is collaborating with business analysts and department heads to gather requirements, understand key performance indicators (KPIs), and translate business needs into effective visualizations. Furthermore, they often establish and enforce data governance and dashboard standards, manage Tableau Server or Cloud environments, and provide training and support to end-users. The typical skill set for these jobs is a powerful blend of technical and analytical prowess. Proficiency in Tableau Desktop (and often Server/Cloud) is fundamental, including expertise in calculations, parameters, LOD expressions, and dashboard design principles. Strong SQL programming skills are non-negotiable for data extraction and transformation. A solid understanding of data warehousing concepts, ETL processes, and data modeling (star/snowflake schemas) is highly valued. Familiarity with other data analytics tools (e.g., Python, R, Alteryx) and cloud platforms is a major advantage. Beyond technical skills, successful candidates possess strong analytical thinking, problem-solving abilities, and excellent communication skills to convey data stories to non-technical audiences. Common requirements for Tableau and Data Analytics Engineer jobs usually include a bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field, coupled with several years of hands-on experience in business intelligence development. Certifications like Tableau Desktop Specialist or Certified Professional can enhance a candidate's profile. This profession offers a rewarding path for those passionate about turning data into a strategic asset, with opportunities spanning across industries like finance, healthcare, technology, and retail. Explore a wide range of Tableau and Data Analytics Engineer jobs to find a position where you can build the visual narratives that power modern business intelligence.
