- Design, develop, and maintain data pipelines and data transformation workflows using modern data engineering tools and SQL.
- Work with structured and semi-structured data from multiple sources to enable analytics and reporting.
- Perform data extraction, cleansing, transformation, and validation to ensure data quality and reliability.
- Collaborate with business and analytics teams to understand data requirements and translate them into technical solutions
- Build and maintain interactive dashboards and reports using BI tools such as Power BI (preferred), Tableau, or similar
- Support end-to-end analytics lifecycle, including requirement gathering, design, development, testing, and deployment.
- Work closely with cross-functional teams, including data engineers, BI developers, and business analysts
- Maintain technical documentation for data pipelines, dashboards, and models
- Contribute to internal capability building, reusable assets, and best practices
- Continuously upskill in data engineering, BI, and emerging analytics technologies

", "key_skills_required": "
- 4-7 years of experience in data engineering, data analytics, or BI development.
- Robust hands-on experience in SQL and data transformation.
- Experience in any data engineering/ETL tools such as: Azure Data Factory, Databricks, SSIS, Alteryx, Informatica, KNIME, or similar tools
- Strong experience in dashboard and report development using Power BI (preferred), Tableau, or similar BI tools.
- Good understanding of data warehousing, data modelling, and ETL concepts




- Ability to design data models optimized for reporting and analytics
- Experience working with large datasets and performance optimization
- Strong analytical thinking with effective problem-solving abilities.
- Capability to manage deliverables independently in fast-paced environments.
- Clear communication skills with the ability to engage and collaborate with stakeholders.
- Exposure to consulting or client-facing assignments.
- Working knowledge of Agile/Scrum methodologies.
- Mandatory onsite travel may be required at short notice.

",

Beinex is seeking a Senior Data Analyst (SDA) with strong foundations in data engineering and analytics, capable of working across data pipelines, SQL-driven analysis, and business intelligence reporting.

This role combines data engineering, analytics, and BI visualization, with a primary focus on building reliable data pipelines and developing dashboards to enable data-driven decision-making. You will work closely with business stakeholders, analytics teams, and delivery teams to design, develop, and deliver scalable data and reporting solutions.

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Disclaimer: This job posting and Location 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.

📌 Sr Data Analyst - Data Engineering & Analytics (Kochi)
🏢 Beinex
📍 Kochi