Data analyst

Live Connections; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Live Connections in Chennai is seeking a data professional to drive analytics, BI solutions, and data engineering initiatives.

The role requires 3–8 years in data analytics, advanced SQL, and hands-on BI tool experience (Power BI, Tableau, Qlik). You will collaborate with business teams to shape analytical solutions and contribute to data manipulation with Python or PySpark.

Qualifications

• 3 to 8 years of relevant experience in Data Analytics, BI, Data Engineering or Data Science.
• Advanced SQL including complex joins, CTEs, window functions, and query performance optimization.
• Hands on proficiency in at least one BI or visualization tool such as Power BI, Tableau, or Qlik.
• Strong stakeholder management and proven ability to work with business teams to shape analytical solutions.
• Python or R/PySpark for data manipulation, automation, or analysis.
• Good to Have: BI dashboard development (Power BI/Tableau/Qlik), Snowflake or Azure Databricks, data quality/testing, analytics leadership.

Responsibilities

• Note: Responsibilities not specified in the provided HTML.

Skills

3–8 years experience in Data Analytics

Advanced SQL

BI and data visualization

Python/R for data manipulation

Stakeholder management

Education

N/A

Tools

Power BI

Tableau

Qlik

Snowflake

Azure Databricks

PySpark

Job description

3 to 8 years of relevant experience in Data Analytics BI Data Engineering or Data Science

Advanced SQL including complex joins CTEs window functions and query performance optimization

Hands on proficiency in at least one BI or visualization tool such as Power BI Tableau or Qlik

Strong stakeholder management skills and proven ability to work with business teams to shape analytical solutions

Python or equivalent scripting such as R or PySpark for data manipulation automation or analysis

Good to Have

BI and Dashboard Development including DAX Power Query Power BI Report Builder Row Level Security dashboard performance optimization Snowflake or Azure Databricks

Data Quality and Test Engineering including ETL and pipeline validation data reconciliation and profiling automated testing frameworks and CI CD practices

Analytics and Data Science including statistical techniques such as regression and segmentation A B testing and experimentation machine learning exposure and product or ecommerce analytics

Analytics Leadership and Consulting including Client and CxO stakeholder engagement team and project management and mentoring