Associate Product Analyst – Products and Platform
About Us: SG Analytics (SGA), a Global Insights and Analytics company, focusses on ESG, Data Analytics, and Investment & Market research services. The company has presence in New York, San Francisco, Austin, Seattle, Toronto, London, Zurich, Pune, Bengaluru, and Hyderabad and growing consistently for the last few years.
SGA is a Great Place to Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning & collaboration opportunities, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020.
Role: Associate Product Manager – Products and Platform
Purpose: Drive product management for our products and platform team. To identify digital data assets/automation opportunity that can be build as a part of the platform and help the team deliver.
Responsibilities:
Work with a team of research analysts and stakeholders within the company to understand the processes that drive business.
Work towards ideas that can help them automate certain processes for operational efficiency.
Identify which digital assets can be built for the base platform and how they be scaled to other products and functions.
Work with cross functional teams of engineering, designers, stakeholders to define problem statements and break requirements down into Epics and stories.
Guide the development team on potential use cases which can help them architect data products.
Experience and Skills
1-2 years’ experience as an APM or a product analyst.
Should understand the data analytics/AI ML products landscape.
A technical background, if worked as a developer/tech lead will be a plus.
Work experience of data products/automation projects will be a plus.
Work experience in AWS cloud native services will be a plus.
Exposure on market leading Business Intelligence (BI) front-end, data analytics middleware, or back-end data warehouse technologies.
Understanding of data analytics technology stack (e.g., Hadoop/Spark, data streaming, ETL and data governance, predictive analytics, data science framework, etc.) will be a plus.
Should be driven and passionate towards building products.