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 dashboarding you 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 QualificationsCore 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 Bachelor s 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 Send your resume GitHub LinkedIn profile and a short note about your interest to jobs devicedriven com Job Types Full time Permanent Work Location In person

📌 Senior Data Analyst (Kerala)
🏢 DeviceDriven (India) Private
📍 Kerala