Data Analytics Engineer

Job Title

Data Analytics Engineer

Location(s)

Mumbai

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

Key Accountability:

• Develop dashboards as per business requirements, manage the enhancement and access requests
• Develop scripts to update the database with the necessary data requirements
• Perform testing and validation activities before deployment of the reports and dashboards to production environment as per the deployment schedule
• Gather requirements from the functional teams and communicate to other business systems owners (e.g., Business Objects, Hyperion Planning and management) for the data requirements/ mappings/data authenticity or corrections
• Create clean and efficient documentation to capture the data model and calculations
• Excellent communication skills, both oral and written
• Must have strong teamwork orientation and the ability to foster collaboration within and across geographically dispersed, multi-cultural teams
• Be part of the different core teams to work on different challenging/interesting projects based on the priorities.
• Collaborate with fellow team members on priorities, specifications, and feature implementation
• Write and document clean, efficient, functional code together with unit tests.

Preferred Skills:

• 4+ years of professional work experience in the data analytics and visualization
• Expert on BI Tools, preferably Spotfire. Exposure to other tools like Power BI, Tableau etc. would be a bonus
• Strong SQL Expertise – experienced in at least one relational database: MS SQL, My SQL, Postgre SQL. Exposure to Amazon redshift would be good to have
• Excellent work ethic and strong sense of ownership
• Self-Motivated, independent, and innovative thinker
• Attention to detail and outcome focused
• Willingness and drive to learn new skills and technologies