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Sr. Analyst, Data & Analytics

Exclusive opportunity

Onsite

Sr. Analyst, Data & Analytics

Ruckus Networks

Sr. Analyst, Data & Analytics

Skills

SQL QueriesData MiningData VisualizationSAP HANAData AnalysisSAP ERPSAP Business ObjectsComplianceBusiness TransformationPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Panaji, Goa, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


Job Summary

In our always on world, we believe its essential to have a genuine connection with the work you do.

We are looking out for a Sr. Analyst, Data Analytics to join our team in Goa or Hyderabad!

An Individual plays a critical role in designing, developing, and delivering end-to-end Business Intelligence (BI) and Analytics solutions that enable data-driven decision making across the organization. This role leverages expertise in ETL, data modeling, reporting, visualization, and analytics technologies to create scalable, reliable, and trusted information solutions.

The individual serves as a Subject Matter Expert (SME) within assigned functional domains, partnering closely with business stakeholders and IT teams to translate business requirements into meaningful analytical solutions. The role focuses on delivering a 360-degree view of business entities through reports, dashboards, visualizations, mobile analytics, and self-service BI capabilities.

Responsibilities

Business Intelligence Analytics Solution Delivery

  • Design, develop, and implement end-to-end BI and analytics solutions that address business challenges and strategic objectives.
  • Translate business requirements, user personas, and analytical needs into scalable reporting and visualization solutions.
  • Build trusted data products that provide accurate, consistent, and actionable insights for business users and leadership teams.
  • Deliver a comprehensive 360-degree view of customers, products, operations, and business performance through integrated analytics solutions.

Data Integration ETL Development

  • Design and develop robust ETL processes for data extraction, transformation, validation, and loading.
  • Integrate data from multiple enterprise systems while ensuring data quality, consistency, and governance standards.
  • Monitor and optimize ETL workflows for performance, reliability, and scalability.
  • Implement data validation and reconciliation processes to improve confidence in analytical outputs.

Data Modeling Architecture

  • Design conceptual, logical, and physical data models to support enterprise reporting and analytics needs.
  • Develop dimensional models, fact and dimension structures, and analytical data marts.
  • Collaborate with data architects and business stakeholders to ensure optimized data structures and business alignment.
  • Promote best practices in data governance, metadata management, and master data integration.

Reporting Visualization

  • Develop interactive dashboards, scorecards, and analytical reports using modern BI tools.
  • Create intuitive visualizations that simplify complex business information for decision makers.
  • Enable self-service reporting capabilities while maintaining enterprise standards and governance.
  • Optimize reporting solutions to improve user adoption and business value realization.

Collaboration Stakeholder Management

  • Act as a trusted advisor and liaison between business users and IT teams.
  • Facilitate requirements gathering, solution design workshops, and user acceptance testing activities.
  • Provide subject matter expertise in assigned business functions and analytics domains.
  • Support business transformation initiatives through effective use of data and analytics.

Quality, Governance Continuous Improvement

  • Ensure BI solutions meet enterprise standards for accuracy, reliability, security, and compliance.
  • Establish and promote best practices in BI development, documentation, testing, and deployment.
  • Continuously evaluate emerging technologies and analytical capabilities to drive innovation.
  • Mentor junior developers and contribute to the overall growth of the analytics team

Required Qualifications for Consideration

  • Bachelors degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
  • 5+ years of experience in Business Intelligence, Data Warehousing, Data Analytics, or Application Development.
  • Strong hands-on experience in ETL design, development, and support.
  • Expertise in data modeling, data integration, and reporting solutions.
  • Experience delivering enterprise-scale analytics and BI initiatives.
  • Strong analytical, problem-solving, and communication skills.

You Will Excite Us If You Have

  • ETL Data Integration
  • Exposure to SAP BusinessObjects Data Services (BODS)
  • Understanding of ETL development and support processes
  • Basic knowledge of data quality and validation techniques
  • Business Intelligence Reporting
  • SAP BusinessObjects (SAP BO)
  • Microsoft Power BI
  • Dashboard and report development
  • Data visualization fundamentals
  • Database Technologies
  • SAP HANA Database
  • SQL query development
  • Basic data modelling concepts
  • Understanding of data warehouse principles
  • Analytics Data Management
  • Data analysis and reporting techniques
  • KPI and metrics reporting
  • Business process understanding
  • Data governance awareness

Core Competencies

  • Functional Adaptability
  • Demonstrates curiosity and willingness to learn new business functions and processes.
  • Adapts quickly to changing priorities and project requirements.
  • Applies analytical thinking.

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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