Associate Product Manager at Medha Analytics

Job Responsibilities:

• Define and lead the overall product vision, scope, requirements, usability of end user facing products built on the Medha Analytics Platform.
• In partnership with the data engineering team, functional team, and core business users, prioritize and lead product feature development.
• Define, communicate, and analyse success metrics for the products and the product vertical.
• Proposes multiple potential solutions for complex or new problems or processes and makes objective recommendations as to which direction should be taken.
• Provide transparency and recommendations on project trade-offs and provide dependency coordination.
• Perform with a wide degree of latitude on creative solutions.
• Continually assess and integrate internal and external customer feedback and business metrics.
• Stay on top of market trends to determine new or enhanced product capabilities that positively impact the business objectives

Candidate Requirement:

Education: B.E. / B.Tech & PGDM from a leading institute would be preferable.

Experience:

• 4 years experience in a technical Product Management team working very closely with analysts, database teams, or as an individual.
• A minimum of 3 years of experience in the analytics tech stack, ETL/Data Transformation and Data Visualization, and Data Science tools.
• Hands-on Experience with modeling, data science, data visualization, and data governance

Knowledge and Skills:

• Comfortable working with Big Data technologies building and designing products that utilize both real-time as well as batch data streams at scale.
• Ability to write and validate SQL queries and to ensure data is validated.
• Ability to understand ETL structures and concepts.
• Ability to understand data visualization structures and concepts.
• Demonstrated data-driven decision-making capabilities. Strong analytical skills to influence product decisions.
• Experience taking direction and input from multiple sources and creating a shared product vision.
• Demonstrated ability to work on a diverse scope of projects requiring detailed analysis, creative/practical problem-solving, and sound judgment.
• Understanding of the technical architecture of complex data products.
• Project management of analytics/data intelligence projects.
• Strong communication skills.