Role : Senior Data Analyst
Experience : 10 years
Location : Trivandrum/Hybrid
Budget : Max. 24 LPA
Senior Data Analyst
(SSIS Power BI SQL Python GCP)
About the Opportunity
We are seeking a Senior Data Analyst who can own end-to-end data pipelines ensure reporting accuracy at scale and act as a trusted data partner to product engineering and business teams. The platform processes high-volume transactional behavioral and partner data that powers business intelligence operational reporting reconciliation and analytics for internal teams and external stakeholders.
This role goes beyond dashboardingyou will design ETL workflows influence data models troubleshoot production issues and mentor junior analysts in a complex enterprise environment.
Role Overview
As a Senior Data Analyst you will:
Own and evolve enterprise-grade ETL pipelines and BI solutions
Ensure data quality consistency and performance across platforms
Design and deliver trusted reporting and analytics used for operational and business decisions
Partner with engineering DBAs and cloud teams on data architecture and optimization
Act as a senior point of escalation for data issues and reporting correctness
Guide best practices and mentor junior team members
You will work across SQL Server-based systems and GCP-based cloud workflows supporting both real-time and batch data use cases.
Key Responsibilities
1. ETL Architecture & Data Engineering
Architect design and maintain complex SSIS ETL pipelines across multiple data sources
Own data ingestion transformation and validation logic for large-scale datasets
Optimize ETL performance for volume reliability and recoverability
Implement robust data quality checks reconciliation logic and audit controls
Lead troubleshooting and root-cause analysis for production data issues
Support data migrations platform integrations and schema evolution
2. Business Intelligence & Analytics
Design and maintain enterprise-grade SSRS reports used by business and operations teams
Build and govern Power BI datasets and dashboards with consistent metrics and definitions
Design and maintain SSAS cubes for multi-dimensional and historical analysis
Ensure KPI definitions aggregations and calculations are accurate and aligned
Partner with stakeholders to translate business questions into analytics solutions
3. Cloud Automation & Integrations
Design and implement Python-based automation for data processing and monitoring
Work with GCP services including BigQuery Cloud Functions Cloud Scheduler and Secret Manager
Automate data pipelines report refreshes and operational checks
Integrate third-party systems via APIs (e.g. JIRA Zendesk Matomo)
Support hybrid architectures spanning on-prem and cloud environments
4. Leadership Support & Collaboration
Act as a senior escalation point for data and reporting issues
Collaborate with DBAs on query optimization indexing and performance tuning
Participate in production support and on-call rotations as required
Define and maintain documentation standards and best practices
Mentor junior analysts and review their ETL and reporting work
Contribute to data governance naming standards and metric definitions
Required Skills & Qualifications
Core Technical Skills
SQL Server / T-SQL Expert-level querying optimization stored procedures indexing
SSIS 5 years designing and owning complex production ETL pipelines
SSRS Strong experience building operational and executive-level reports
Power BI Advanced dashboarding data modeling and DAX usage
Python Data processing automation and scripting for analytics workflows
Experience
8-12 years in Data Analytics BI Development or Data Engineering roles
Proven experience owning enterprise data platforms end-to-end
Experience working with high-volume transactional systems
Strong production support and incident troubleshooting experience
Experience working in Agile/Scrum environments
Education
Bachelors degree in Computer Science Information Systems Data Science or related field
Or equivalent hands-on professional experience
Preferred Qualifications
SSAS cube design and MDX query experience
Experience with GCP (BigQuery Cloud Functions Cloud Scheduler)
Experience with Git / GitHub version control
Background in fintech loyalty rewards or high-transaction platforms
Microsoft certifications in SQL Server Power BI or related data technologies
Required Skills:
SQL ServerPower BIData ModelingETL
Role : Senior Data AnalystExperience : 10 years Location : Trivandrum/HybridBudget : Max. 24 LPA Senior Data Analyst (SSIS Power BI SQL Python GCP) About the Opportunity We are seeking a Senior Data Analyst who can own end-to-end data pipelines ensure reporting accuracy at scale and act as a trus...
Role : Senior Data Analyst
Experience : 10 years
Location : Trivandrum/Hybrid
Budget : Max. 24 LPA
Senior Data Analyst
(SSIS Power BI SQL Python GCP)
About the Opportunity
We are seeking a Senior Data Analyst who can own end-to-end data pipelines ensure reporting accuracy at scale and act as a trusted data partner to product engineering and business teams. The platform processes high-volume transactional behavioral and partner data that powers business intelligence operational reporting reconciliation and analytics for internal teams and external stakeholders.
This role goes beyond dashboardingyou will design ETL workflows influence data models troubleshoot production issues and mentor junior analysts in a complex enterprise environment.
Role Overview
As a Senior Data Analyst you will:
Own and evolve enterprise-grade ETL pipelines and BI solutions
Ensure data quality consistency and performance across platforms
Design and deliver trusted reporting and analytics used for operational and business decisions
Partner with engineering DBAs and cloud teams on data architecture and optimization
Act as a senior point of escalation for data issues and reporting correctness
Guide best practices and mentor junior team members
You will work across SQL Server-based systems and GCP-based cloud workflows supporting both real-time and batch data use cases.
Key Responsibilities
1. ETL Architecture & Data Engineering
Architect design and maintain complex SSIS ETL pipelines across multiple data sources
Own data ingestion transformation and validation logic for large-scale datasets
Optimize ETL performance for volume reliability and recoverability
Implement robust data quality checks reconciliation logic and audit controls
Lead troubleshooting and root-cause analysis for production data issues
Support data migrations platform integrations and schema evolution
2. Business Intelligence & Analytics
Design and maintain enterprise-grade SSRS reports used by business and operations teams
Build and govern Power BI datasets and dashboards with consistent metrics and definitions
Design and maintain SSAS cubes for multi-dimensional and historical analysis
Ensure KPI definitions aggregations and calculations are accurate and aligned
Partner with stakeholders to translate business questions into analytics solutions
3. Cloud Automation & Integrations
Design and implement Python-based automation for data processing and monitoring
Work with GCP services including BigQuery Cloud Functions Cloud Scheduler and Secret Manager
Automate data pipelines report refreshes and operational checks
Integrate third-party systems via APIs (e.g. JIRA Zendesk Matomo)
Support hybrid architectures spanning on-prem and cloud environments
4. Leadership Support & Collaboration
Act as a senior escalation point for data and reporting issues
Collaborate with DBAs on query optimization indexing and performance tuning
Participate in production support and on-call rotations as required
Define and maintain documentation standards and best practices
Mentor junior analysts and review their ETL and reporting work
Contribute to data governance naming standards and metric definitions
Required Skills & Qualifications
Core Technical Skills
SQL Server / T-SQL Expert-level querying optimization stored procedures indexing
SSIS 5 years designing and owning complex production ETL pipelines
SSRS Strong experience building operational and executive-level reports
Power BI Advanced dashboarding data modeling and DAX usage
Python Data processing automation and scripting for analytics workflows
Experience
8-12 years in Data Analytics BI Development or Data Engineering roles
Proven experience owning enterprise data platforms end-to-end
Experience working with high-volume transactional systems
Strong production support and incident troubleshooting experience
Experience working in Agile/Scrum environments
Education
Bachelors degree in Computer Science Information Systems Data Science or related field
Or equivalent hands-on professional experience
Preferred Qualifications
SSAS cube design and MDX query experience
Experience with GCP (BigQuery Cloud Functions Cloud Scheduler)
Experience with Git / GitHub version control
Background in fintech loyalty rewards or high-transaction platforms
Microsoft certifications in SQL Server Power BI or related data technologies
Required Skills:
SQL ServerPower BIData ModelingETL
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