Application Developer, Data & Analytics

Ruckus Networks; Panaji; On-site; INR 600,000 - 900,000; Full time

Job summary

Ruckus Networks is seeking an Application Developer, Data Analytics to join our team in Goa or Hyderabad. You will support BI reporting, data integration, data modeling and analytics initiatives while collaborating with business users and IT teams.

The role offers exposure to enterprise BI tools, reports, dashboards and self-service analytics, with opportunities to grow technical and business expertise in data management.

Qualifications

• Bachelor's degree in a relevant field is required.
• 1–2 years in Application Development, BI or Data Analytics is preferred.
• Basic understanding of ETL, data warehousing and reporting concepts.
• Familiarity with SQL and relational databases.
• Strong analytical and communication abilities, and team orientation.

Responsibilities

• Develop and maintain BI reports, dashboards and visualizations to support decision-making.
• Translate business requirements into analytical and reporting solutions.
• Support ETL processes and data validation to ensure data reliability.
• Create and refine data models and SQL queries for reporting needs.
• Collaborate with stakeholders to gather requirements and ensure successful deployments.
• Participate in code reviews, testing, and continuous improvement efforts.

Skills

Analytical skills

Communication skills

Team collaboration

Education

Bachelor's degree in Computer Science / Information Systems / Data Analytics

Tools

SQL

Power BI

SAP BO

SAP HANA

Job description

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 Application Developer, Data Analytics to join our team in Goa or Hyderabad!

Supports the design, development, and maintenance of Business Intelligence (BI) and analytics solutions that help business users make informed decisions. Working under the guidance of senior team members, this role contributes to data integration, reporting, data modeling, and analytics initiatives while gaining exposure to enterprise data and BI technologies.

The individual collaborates with business stakeholders and technical teams to understand requirements, develop reports and dashboards, support ETL processes, and ensure data accuracy and reliability. This role offers an excellent opportunity for early-career professionals to build expertise in data and analytics while contributing to impactful business solutions.

Business Intelligence Analytics Support

• Assist in the development and maintenance of BI reports, dashboards, and visualizations to support business decision-making.
• Translate business requirements into basic analytical and reporting solutions.
• Support the creation of data-driven insights that help users monitor business performance and key metrics.
• Participate in the design of analytics solutions that provide a comprehensive view of business processes and entities.

ETL Data Integration

• Develop and maintain ETL processes under the guidance of senior developers.
• Support data extraction, transformation, and loading activities from various source systems.
• Identify and troubleshoot data quality issues and participate in data validation activities.
• Monitor daily ETL jobs and support issue resolution to ensure reliable data availability.

Reporting Visualization

• Create and enhance reports, dashboards, and visual analytics using enterprise BI tools.
• Assist in gathering reporting requirements and validating outputs with business users.
• Ensure reports are user-friendly, accurate, and aligned with business needs.
• Support mobile and self-service reporting initiatives.

Data Modeling Database Support

• Assist in the development and maintenance of data models that support reporting and analytics requirements.
• Develop SQL queries to support reporting, analysis, and data validation activities.
• Work with structured data sets and contribute to data warehouse and data mart development efforts.
• Learn and apply best practices in data modelling and database design.

Collaboration Stakeholder Engagement

• Partner with business users, analysts, and technical teams to understand and support business requirements.
• Participate in requirements gathering sessions, testing activities, and solution deployments.
• Communicate project status, issues, and recommendations effectively to team members.
• Build strong working relationships across business and IT functions.

Quality Continuous Improvement

• Follow established development standards, testing procedures, and documentation practices.
• Support data quality, governance, and compliance initiatives.
• Participate in code reviews, knowledge-sharing sessions, and team improvement activities.
• Continuously learn new technologies, tools, and business processes to enhance effectiveness.

Required Qualifications for Consideration

• Bachelors degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
• Preferred 1 to 2 years of experience in Application Development, Business Intelligence, Data Analytics, Reporting, or a related technology role.
• Basic understanding of ETL concepts, data warehousing, and reporting solutions.
• Familiarity with SQL and relational databases.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.

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 developmentBasic 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
• IT Business Collaboration
• Strong Work Ethics
• Learning Agility

Success Measures

Timely and accurate delivery of assigned BI and analytics solutions. Reliable support of ETL processes and reporting environments. High-quality reports, dashboards, and data outputs. Positive collaboration with business and IT stakeholders. Continuous development of technical and functional expertise. Growing contribution to enterprise analytics and business intelligence initiatives.