Description :
Job Title : Senior Tableau Developer (Data & AI Enablement)
Overview :
We are looking for a Senior Tableau Developer to join our data team and help drive scalable, insight-driven reporting. This role goes beyond dashboarding - you will partner closely with data engineers and analytics teams to build reliable data models, enable self-service analytics, and explore the use of AI tools to enhance reporting and decision-making.
Key Responsibilities :
Dashboard & Visualization Development :
- Design, build, and maintain high-quality Tableau dashboards aligned to business needs
- Translate complex datasets into intuitive, actionable visualizations for business stakeholders
- Ensure performance optimization and usability across dashboards
Data Collaboration & Modeling :
- Work closely with data engineering and analytics teams to align on data models and definitions
- Leverage dbt models and curated datasets (e.g., star schemas, semantic layers) for reporting
- Write efficient and scalable SQL for data extraction and transformation validation
Data Quality & Governance :
- Validate data accuracy and consistency across dashboards
- Align with governance practices (naming conventions, metric definitions, access controls)
- Contribute to documentation of datasets, dashboards, and business logic
AI-Enabled Reporting :
- Explore and implement AI-assisted workflows in reporting (e.g., natural language querying, automated insights)
- Use tools like Glean or similar AI agents to enhance data discovery and knowledge access
- Partner with teams to identify opportunities where AI can reduce manual reporting effort or improve insights
Stakeholder Engagement :
- Collaborate with business stakeholders to gather requirements and iterate on solutions
- Enable self-service analytics by building reusable and well-documented dashboards
- Communicate insights clearly to both technical and non-technical audiences
Required Skills & Experience :
- 7 - 10+ years of experience in Tableau development and data visualization
- Strong proficiency in SQL (query optimization, joins, aggregations, window functions)
- Hands-on experience working with dbt models or similar transformation frameworks
- Solid understanding of data modeling concepts (star schema, fact/dimension tables, grain)
- Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Databricks)
- Strong analytical thinking and attention to data accuracy
Preferred / Nice to Have :
- Exposure to AI tools in analytics workflows (e.g., Glean, ChatGPT, or other AI copilots)
- Experience enabling semantic layers for BI tools (Looker, Tableau, etc.)
- Familiarity with data governance tools (e.g., Dataplex or similar)
- Experience working in cross-functional data teams (data engineering, analytics, business)
What Success Looks Like :
- Trusted dashboards used consistently by business teams
- Reduced dependency on ad hoc reporting through self-service enablement
- Strong alignment between Tableau outputs and underlying data models
- Early adoption of AI-assisted reporting to improve efficiency and insight generation
(ref:hirist.tech)