Technical skills (must have):
Advanced Technical Skills (Must-Have)
Expert SQL &
Data Warehousing: Mastery of complex SQL including advanced window functions, query optimization for performance, and extensive experience querying large, partitioned datasets in a cloud setting (e.g., BigQuery, Snowflake).
BI Tool Architecture (Looker Focus): Expert proficiency in Looker and LookML development, specifically focused on model governance, complex view/explore design, and performance tuning of the semantic layer.
Python/Scripting: Intermediate to Advanced experience with Python (e.g., Pandas, NumPy) for data manipulation, statistical analysis, or light ETL scripting.
Data Modeling Languages: Solid understanding of YAML or similar declarative languages for defining schemas (e.g., dbt) and managing data transformation logic.

Core Analytical &
Leadership Skills (Must-Have)
Analytical Leadership &
Problem Structuring

:



Proven ability to independently structure, execute, and own large, ambiguous analytical projects from initial hypothesis to final presentation.
Executive-Level Communication: Exceptional ability to communicate complex technical findings to non-technical, executive audiences using visualization and narrative storytelling.
(Nice to Have ) Deep Business Acumen (Sales/GTM): Expert-level understanding of the Sales lifecycle, Go-To-Market (GTM) strategies, and key SaaS/Subscription metrics (e.g., ARR, Churn, CAC, LTV) to accurately interpret and correlate data to financial outcomes.
Data Governance &
Quality Ownership

: Demonstrated experience in creating, implementing, and enforcing data quality rules and organizational data definitions.

📌 Data Analyst 6 To 8 Years,bangalore Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru