We are seeking a skilled Business Analytics and Data Integration support specialist with a solid foundation in Linux/Unix, networking, cloud solutions, and business intelligence (BI) analytics.
The ideal candidate will have experience supporting and managing, implementing BI solutions, and working across various platforms, from databases to data warehouses.
This role supports BI analytics and data integration processes that drive business insights and enhance our analytical capabilities.
Position:Business Analytics Support Engineer.
No of Openings 3.
Experience:2 to 4 years.
Location:Pune, MH, India.
Notice Period:30 days.
Education:Bachelor's Degree in Computers or other skillsExcellent Communication Skills.
Key Responsibilities.
Operating Systems & Networking:Essential knowledge of Linux/Unix systems, leveraging Linux Networking fundamentals to ensure data flow integrity and system performance.
Business Intelligence & Analytics:Develop and maintain BI dashboards and reports using tools such as Incorta, Power BI, Talend, Tableau, and Qlik, enabling data-driven decision-making across the organization.
Database Management:Work with MySQL, Oracle, MS SQL Server, and other databases for data extraction, transformation, and loading (ETL) processes, ensuring efficient and secure data management.
Cloud Integration:Deploy, manage, and troubleshoot solutions on cloud platforms like AWS, Azure, and GCP to support our data and analytics operations.
Java Development:Utilize Java for developing data-related applications and integrations, enhancing automation and data processing.
Data Integration & Warehousing:Design and manage data flows, including data lakes and data warehouses, to streamline data availability and support BI and analytics functions.
Required Skills And Qualifications.
Operating Systems:Strong proficiency in Linux/Unix environments.
Networking:Solid understanding of Linux Networking principles.
BI & Analytics Tools:Experience with BI tools such as Incorta, Power BI, Talend, Tableau, and Qlik.
Database Management:Proficiency in working with MySQL, Oracle, MS SQL Server, and similar databases.
Cloud Platforms:Experience with AWS, Azure, and Google Cloud Platform (GCP).
Programming Skills:Proficient in Java for data-related development.
Data Integration:Familiarity with data lake and data warehouse environments.
Preferred Qualifications.
Strong analytical and problem-solving skills.
Ability to work collaboratively across teams to meet organizational data and analytics goals.
Certifications in cloud or BI platforms are a plus..