- Translate business questions into wireframes, KPIs, and drill paths, design with a product mindset.

- Develop Tableau workbooks using LODs, parameters, actions, RLS, sets, and custom formatting.

- Optimize performance : extracts vs. live, Hyper tuning, query pruning, calc refactoring, index-aware SQL.

- Configure permissions, data sources, and subscriptions/alerts; publish to Server/Cloud.

Automation & Ops :

- Build Python/SQL automations for data refreshes, file/API ingestion, KPI backfills, data quality checks.

- Orchestrate via Airflow/Control- M/Cron; implement logging, alerting (email/Slack), retries, and idempotency.

- Package code with Git; implement CI checks and environment promotion.

Data Quality & Documentation :

- Write robust SQL (joins, window functions, CTEs) and validate with unit/threshold tests.

- Create runbooks, user guides, and change logs; maintain a source catalog for each dashboard.

Stakeholder Partnering :

- Run short requirement sessions, demo increments, and manage UAT; propose simplifications when useful.

Requirements :

- 3- 6 years hands on with Tableau (Desktop + Server/Cloud) building production dashboards at scale.

- Strong SQL (complex joins, window functions, performance tuning) across columnar/MPP warehouses.

- Python for data automation (pandas, requests, schedule/orchestration basics) or equivalent scripting.

- Proven performance optimization in Tableau (LOD strategy, extract design, query push down).

- Version control (Git), peer reviews, and disciplined documentation.

- Bachelors in engineering/Math/Stats/CS or equivalent practical experience.

- Portfolio of 3- 5 dashboards (screenshots or demo) and 1- 2 automation scripts preferred

Benefits :

- Competitive salary and performance-based bonuses.

- Comprehensive insurance plans.

- Collaborative and supportive work environment

- Chance to learn and grow with a talented team.

- A positive and fun work environment