Description :
Role & Responsibilities Design & Build :
- 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 preferredBenefits :
Competitive salary and performance-based bonuses.Comprehensive insurance plans.Collaborative and supportive work environmentChance to learn and grow with a talented team.A positive and fun work environment(ref : hirist.tech)