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 generatio

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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