Data Analyst

Saarthee; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Saarthee is seeking a Data & BI Analyst (Full-Stack) in Bengaluru to own the data pipeline end-to-end, from backend querying and ETL to executive-ready dashboards in Tableau. The role emphasizes GenAI/LLM-driven prototyping to accelerate data solutions toward production.

You will design and optimize dashboards, craft visually compelling narratives for leaders, and ensure scalable, device-agnostic visualizations while maintaining data integrity across reporting layers.

Qualifications

• Experience in Data Analytics, BI, or Data Engineering roles.
• Expert-level proficiency in Tableau.
• Strong SQL with optimization experience.
• Experience with cloud data platforms (Snowflake, Redshift, BigQuery).
• Python for data manipulation and ETL development.
• Experience building and maintaining ETL pipelines and reporting workflows.
• Familiarity with distributed data systems and modern analytics architectures.

Responsibilities

• End-to-End Dashboarding & Visualization: design, build, and maintain Tableau dashboards.
• Translate business requirements into visual narratives for executive decisions.
• Develop interactive dashboards for data storytelling.
• Drill-down capabilities from regional to multi-region cohorts.
• Ensure dashboards are device-agnostic (desktop, tablet, mobile).
• Manage access, performance tuning, and uptime of dashboards.
• ETL: write optimized SQL, connect backend data to BI tools.
• Build data models connecting backend to front-end dashboards.
• Go beyond reporting to uncover trends and actionable insights.
• GenAI Prototyping: build POCs using GenAI/LLMs and productionize dashboards.

Skills

Tableau

SQL

Python

ETL pipelines

Data modeling

Data analytics

BI storytelling

Cloud platforms

Snowflake

Redshift

BigQuery

GenAI tools

Tools

Snowflake

AWS Redshift

BigQuery

Tableau

Power BI

Looker

Job description

Position: Data & BI Analyst (Full-Stack)

Location: Bangalore

Work Mode: Hybrid

Min-Max Experience: 4-6 Years

Position Summary: We are seeking a highly analytical and versatile Senior Data & BI Analyst who will operate as a "full-stack" analyst taking full ownership of the data pipeline from backend querying and ETL processes, to deep-dive business analysis, and finally, developing executive ready dashboards in Tableau. Additionally, this role requires a forward-thinking approach, utilizing GenAI and LLM tools to rapidly prototype data solutions before moving them to production.

Your Role Responsibilities and Duties:

End-to-End Dashboarding & Visualization (Primary)

• Design, build, enhance and run & maintain complex, interactive, and highly optimized dashboards in Tableau.
• Translate business requirements into compelling visual narratives that drive executive decision-making.
• Develop intuitive, interactive dashboards focused on visually appealing data storytelling to guide stakeholders from high-level trends down to actionable root causes.
• Drill down capability for all reports and dashboard should be in-built – e.g. one can start with India and then create a regional or multi region cohort of our viewers for a program or for a genre.
• Build, Maintain, Enhance device agnostic Desktop, Tablet and Mobile friendly dashboards.
• Manage the administration, access control, and performance tuning of existing dashboards to ensure zero downtime and optimal load speeds.

Backend Querying & Data Engineering (ETL)

• Write advanced, highly optimized SQL queries to extract, transform, and load (ETL) data from various databases and data warehouses.
• Build and maintain robust data models that seamlessly connect backend architecture to front-end BI tools.
• Troubleshoot data discrepancies, optimize query performance, and ensure data integrity across all reporting layers.

Deep-Dive Analysis & Business Intelligence (Primary)

• Go beyond simply reporting numbers to actively uncover trends, anomalies, and actionable business insights.
• Conduct ad-hoc deep-dive analyses to answer complex business questions, acting as a strategic partner to internal stakeholders.
• Present findings clearly to non-technical business leaders, bridging the gap between raw data and business strategy.

GenAI Prototyping & Innovation (Primary)

• Leverage GenAI and Large Language Models (LLMs) to quickly build Proof of Concepts (POCs) for new dashboards, metrics, and analytical frameworks.
• Translate successful GenAI-driven mockups and insights into fully functional, scalable production dashboards in Tableau/Power BI/SAP SAC/Looker etc.
• Deploy the use of AI tools to faster pipeline development, data lineage, creation of semantic layer and any data cleaning, as needed.
• Stay updated on the latest AI-driven analytics trends to continuously improve the team's efficiency and output quality.

Required Skills and Qualifications:

Core Technical Skills

• Strong hands-on experience in Data Analytics, Business Intelligence, or Data Engineering roles
• Expert-level proficiency in Tableau
• Strong command of SQL with experience optimizing complex queries
• Experience with cloud data platforms such as Snowflake, AWS Redshift, or Google BigQuery
• Proficiency in Python for data manipulation, automation, and ETL development
• Experience building and maintaining ETL pipelines and reporting workflows
• Familiarity with distributed data systems and modern analytics architectures

BI & Visualization Skills

• Advanced experience with Tableau calculations, LODs, DAX, parameter actions, and data blending
• Strong understanding of dashboard performance optimization and user experience design
• Ability to create polished, executive-level dashboards with strong design aesthetics
• Experience building scalable reporting frameworks for leadership teams

AI / GenAI Exposure

• Hands-on experience using AI tools such as ChatGPT, Gemini, Claude, or Copilot
• Understanding of AI-assisted analytics workflows and dashboard prototyping
• Exposure to semantic layers, AI-driven data discovery, or intelligent reporting frameworks is a plus