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Snowflake Data Analyst

Snowflake Data Analyst

Tata Consultancy Services
6-10 Years
Not Disclosed
Early Applicant
  • Posted 20 hours ago
  • Be among the first 10 applicants

Job Description

We're Hiring: Snowflake Data Analyst

Location: Bangalore / Chennai

Experience: 6–10 Years

Notice Period: Immediate to 90 Days

Role: Snowflake Data Analyst

Job Description

We are looking for an experienced Snowflake Data Analyst who can work with large datasets, perform advanced data analysis, and translate business requirements into meaningful insights. The ideal candidate should have strong expertise in Snowflake, SQL, data analysis, and reporting.

Key Responsibilities

  • Analyze large and complex datasets within Snowflake to identify trends, patterns, and actionable business insights.
  • Develop and optimize complex SQL queries for data extraction, transformation, and analysis.
  • Work closely with business and technical stakeholders to understand data and reporting requirements.
  • Perform data validation, reconciliation, cleansing, and quality checks.
  • Create dashboards, reports, and analytical datasets to support business decision-making.
  • Investigate data discrepancies and perform root-cause analysis.
  • Understand data models, schemas, and relationships across multiple data sources.
  • Support performance optimization of Snowflake queries and analytical workloads.
  • Collaborate with Data Engineering, BI, and business teams.

Required Skills

  • Strong hands-on experience with Snowflake
  • Excellent knowledge of SQL
  • Strong experience in Data Analysis and Data Validation
  • Understanding of Data Warehousing and Data Modeling
  • Experience working with large and complex datasets
  • Knowledge of ETL/ELT processes
  • Experience with BI/reporting tools such as Power BI or Tableau is desirable
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • 6–10 years of overall experience in Data Analytics/Data Warehousing.
  • Strong experience working in Snowflake-based data environments.
  • Ability to interact effectively with both technical teams and business stakeholders.

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