Data Analyst (6 To 8 years,bangalore)

Tata Consultancy Services; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services in Bengaluru invites a senior analytics professional to lead complex data projects from hypothesis to presentation. You will work with SQL-heavy data warehouses, Looker models, and Python tooling to drive strategic insights for executive audiences.

The role emphasizes governance, data quality, and the ability to translate business needs into measurable metrics such as ARR, churn, and LTV, while partnering with sales and GTM teams.

Qualifications

• Mastery of complex SQL, including window functions, for large cloud datasets.
• Looker/LookML development with governance and semantic layer performance tuning.
• Python (Pandas/NumPy) for data manipulation and light ETL scripting.
• YAML-based data modeling (dbt) for defining schemas and transformations.

Skills

SQL & Data Warehousing

Looker & LookML

Python Scripting

Data Modeling Languages (dbt/YAML)

Job description

Job Description:

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 environment (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: Strong 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.