Product Analyst

    • Prosum
  • New York, NY
  • Posted 10 days ago | Updated 6 hours ago

Overview

On Site
Compensation information provided in the description
Full Time

Skills

Product Management
Analytics
Pivotal
Extract
Transform
Load
Data Quality
MEAN Stack
Data Analysis
SQL
Dashboard
IBM Tivoli Access Manager
Software Asset Management
Root Cause Analysis
KPI
Reliability Engineering
Economics
Forecasting
SaaS
Machine Learning (ML)
Use Cases
Debugging
Oracle Management Server
Orchestration

Job Details

Job Description

Product Analyst

Pay Range: $50/hour to $65/hour


Our Client's Data Product Management team guides the strategy and vision for their incredible global digital products portfolio. This team impacts the way millions of people around the world experience and engage with stories and unmatched content in more personalized and immersive ways, leveraging cutting-edge technologies ranging from Machine Learning to Extended Reality.


Job Summary

Our Client is seeking a highly skilled and experienced Product Manager to join their team. This analytics-focused role is pivotal in discovering insights and patterns in data pipeline health as well as data quality to inform creation of data observability product features with the goal of improving mean time to detect (MTTD) and mean time to recover (MTTR). The ideal candidate will have a strong background in data analysis, SQL querying and storytelling.


  • Day-to-day job responsibilities: Build trending dashboards to track pre and post feature launch performance of "Product" KPIs over time
  • Use data to Identify "TAM, SAM, SOM" opportunities to improve Product KPIs
  • Perform root cause analysis on product KPI changes
  • Partner with product manager to regularly meet with Data Reliability Engineering Ops and Data Measurement Analysts to gather product issues and pain points discovered from their day-to-day operations using the product
  • Define and calculate the unit economics of the product and forecast cost, in comparison with competitor Enterprise SAAS products
  • Evaluate production performance of ML-powered features and use data to identify use cases and find examples for engineering debugging
  • Partner with engineering squads to define and document data contract and requirements amongst different product and services integration (OMS, Alation, Data Observability, Compute & Orchestration, etc)
  • Be the Data Product Business Steward for the product


Required Education: Bachelor's Degree

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