Pi Square Technologies
Data Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
20 September 2026
What they need
Job Title: - Data Analyst
Location: Chennai ,Gurugram, Bangalore
Experience: 3-7 years.
Notice Period: Immediate to 45 days Max.
We are hiring Data Analysts to work across dashboarding & BI, data modeling, data quality, and analytics functions supporting our clients. You will work closely with business and technical stakeholders to turn data into insights that drive decisions, and the specific focus of your role will be matched to your experience and skills.
Key Responsibilities
Design, build, and maintain dashboards, reports, or data models that support business decision-making
Write and optimize SQL queries against enterprise data platforms
Translate business requirements into clear, actionable analytical solutions
Collaborate with cross-functional stakeholders - business, engineering, product, risk, or compliance teams as relevant to the project
Ensure data accuracy, consistency, and adherence to governance standards
Present insights, dashboards, or recommendations clearly to stakeholders
Skills & Experience
3-7 years of relevant experience in Data Analytics, BI, Data Engineering, or Data Science
Advanced SQL - complex joins, CTEs, window functions, and query performance optimization
Hands-on proficiency in at least one BI/visualization tool - Power BI, Tableau, or Qlik
Strong stakeholder management skills - proven ability to work with business teams to shape analytical solutions
Python or equivalent scripting (R, PySpark) for data manipulation, automation, or analysis
Good to Have(any one)
BI & Dashboard Development: DAX, Power Query / Power BI Report Builder, Row-Level Security, dashboard performance optimization, Snowflake or Azure Databricks
Data Modeling & Architecture: Dimensional modeling, data vault methodology, dbt, semantic layer design, data governance and lineage
Data Quality & Test Engineering: ETL/pipeline validation, data reconciliation and profiling, automated testing frameworks, CI/CD practices
Analytics & Data Science: Statistical techniques (regression, segmentation), A/B testing and experimentation, machine learning exposure, product or e-commerce analytics
Analytics Leadership & Consulting: Client/CxO stakeholder engagement, team and project management, mentoring
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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