As a Senior BI Analyst(Tableau), you'll transform raw data into stunning visual narratives that spark action and drive decisions across multiple regions and cross-functional teams. Collaborate with global clients, craft jaw-dropping dashboards, and lead end-to-end BI projects that deliver real business value. If you're passionate about turning insights into impact, thrive in a fast-paced consulting-style environment, and are excited about the future of AI-powered analytics — we want you on our team!
We're looking for someone with deep expertise in Tableau, SQL, Snowflake, and Python, and a strong knack for working across teams — including Data Engineers, Business Analysts, Regional Leads, and business stakeholders — to turn complex, multi-regional data into clarity.
- End-to-End BI Implementation: Lead BI projects from requirement gathering to dashboard delivery, including data modelling, deployment, and user training — often spanning multiple regions and time zones.
- Tableau Development: Build dynamic, high-performance Tableau dashboards using advanced calculations, LOD expressions, parameter actions, set actions, drill-throughs, dashboard extensions, and custom visualizations to deliver compelling data stories.
- Snowflake & SQL Data Transformation: Write efficient SQL for data extraction, transformation, and analysis within Snowflake and across platforms like Databricks or Azure SQL. Leverage Snowflake's capabilities including Snowpark, virtual warehouses, and data sharing for optimized analytics. PySpark experience is an added advantage.
- Python Development & Automation: Leverage Python for data manipulation, transformation scripting, automation of repetitive workflows, and building lightweight data pipelines. Use libraries like pandas, NumPy, and scikit-learn to enhance analytics workflows and prototype AI/ML solutions that complement your BI delivery.
- Client & Cross-Functional Collaboration: Work closely with stakeholders across diverse regional teams to define KPIs, translate business needs into actionable insights, and deliver impactful analytics that resonate globally. Collaborate hands-on with Data Science (DS) and Data Engineering (DE)
- teams throughout the project lifecycle — partnering with DS teams to integrate model outputs and predictive insights into dashboards, and with DE teams to ensure robust data pipelines, validated source-to-report logic, and consistent data quality across layers.
- Cross-Tool BI Integration: Integrate Tableau with tools like Snowflake, Excel, and data pipeline platforms; assist in dashboard migration, Tableau Server/Cloud administration, and embedded analytics.
- Gen AI & Gen BI Initiatives: Actively contribute to Generative AI and Generative BI initiatives — leveraging Python to explore AI-driven analytics, natural language querying, automated insight generation, and intelligent dashboard experiences to push the boundaries of traditional BI.
