Sr Tableau Developer

Key Responsibilities:

• Build highly interactive, performance-optimized Tableau dashboards

  , including drill-downs, cohort analyses, and time-series visualizations.

• Transform complex quantitative analyses into clear, intuitive dashboards

  and compelling data stories for business stakeholders.

• Apply advanced quantitative and statistical methods

  to evaluate SaaS metrics such as ARR, MRR, ACV, churn, and consumption models, including trend forecasting.

• Write and optimize advanced SQL

  (window functions, analytical queries, time-series calculations) to support scalable, high-quality analytics.

• Collaborate with data engineering teams

  to design robust data models (fact/dimension structures, semantic layers) and resolve data quality issues end-to-end.

• Partner closely with Sales Ops, Finance, Marketing, Customer Success, and Product

  to translate business questions into actionable insights and present recommendations to leadership.

Required Skills & Qualifications:

• 5+ years in Tableau

  with strong hands-on dashboard building and performance optimization.

• Strong quantitative background

  experience in statistics, math, econometrics, data science, or financial modeling.

• Advanced SQL

  (window functions, analytical functions, performance tuning).
• Experience with cloud data warehouses (Databricks, Snowflake, BigQuery, Redshift).
• Strong understanding of SaaS financial metrics, consumption economics, cohort analysis, and funnel analytics.
• Ability to simplify complex quantitative findings into intuitive visual stories.

Preferred Qualifications:

• Education:

  Bachelor s degree in a quantitative or technical field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or Business Analytics is required for this role.
• Experience with Databricks Lakehouse, Delta Live Tables, Unity Catalog.
• Familiarity with ETL/ELT tools (Fivetran, Workato, Airflow).
• Experience working with Salesforce, NetSuite, Zuora, Marketo, Google Ads, or other SaaS systems.
• Background in data science or business analytics (Python, R, statistical modeling) is a plus.

Soft Skills:

• Highly analytical mindset with strong attention to detail.
• Clear communication skills able to explain quantitative findings to non-technical stakeholders.
• Strong ownership, urgency, and problem-solving attitude.
• Ability to thrive in a fast-paced, data-driven environment.