Senior/Lead Data Analyst

Recruise India Consulting; Bengaluru; Hybrid; INR 1,000,000 - 1,400,000; Full time

Job summary

Recruise India Consulting is seeking a Senior/Lead Data Analyst for a hybrid role in Bangalore. The candidate will handle data analytics, governance, and quality initiatives across enterprise datasets, collaborating with cross-functional teams.

The role requires 5+ years of relevant experience, strong SQL and Python skills, and familiarity with Databricks or Snowflake on cloud platforms. The position emphasizes data quality and governance practices with opportunities for leadership.

Qualifications

• Minimum 5+ years of experience in Data Analytics, Data Quality, Data Governance, BI, or related fields.
• Proven experience leading data quality initiatives, projects, or teams within complex enterprise environments.
• Advanced proficiency in SQL with hands-on experience querying, validating, reconciling, and analyzing large-scale datasets.
• Strong programming skills in Python with experience developing automation solutions, data validation frameworks, APIs, and analytical workflows.
• Experience applying AI/ML techniques, statistical analysis, or anomaly detection models to improve data quality, monitoring, and decision-making processes.
• Experience working with modern cloud data platforms such as Databricks, Snowflake etc.

Skills

SQL

Python

Databricks

BI Tools

Data lineage

Governance practices

Analytical functions

Job description

Hiring for Senior/Lead Data Analyst (F2F Interview: 12th to 15th Oct)

Location: Bangalore

Experience: 5-10 Years

Work Mode: Hybrid

Skills

SQL(Advanced), Python (Should know how to use Python not coding), Databricks, BI Tools(Power BI or Tableau), Data lineage, Governance practices, Analytical functions

Requirements

• Minimum 5+ years of experience in Data Analytics, Data Quality, Data Governance, Business Intelligence, or related disciplines.
• Proven experience leading data quality initiatives, projects, or teams within complex enterprise environments.
• Advanced proficiency in SQL with hands-on experience querying, validating, reconciling, and analyzing large-scale datasets.
• Strong programming skills in Python with experience developing automation solutions, data validation frameworks, APIs, and analytical workflows.
• Experience applying AI/ML techniques, statistical analysis, or anomaly detection models to improve data quality, monitoring, and decision-making processes.
• Experience working with modern cloud data platforms such as Databricks, Snowflake etc.