Product Analyst

Overview

Hybrid
$60 - $68
Contract - W2
Contract - 4 Month(s)

Skills

Product Analyst
Data Analysis
SQL
Tableau
Data Observability
SQL Querying
Product KPIs
Looker
Data Analytics

Job Details

Job Title: Product Analyst

Industry: Mass Media & Entertainment

Duration: 4 months + (good chance at extending and may possibly convert down the line)

Location: New York, NY (Hybrid 4 days per week) Might be open to Seattle, Santa Monica, Bristol, Orlando

Rate: $68.96/HR Our client's Data Product Management team guides the strategy and vision for the incredible global digital products portfolio. This team impacts the way millions of people around the world experience and engage with the iconic 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, a top mass media & entertainment organization, is seeking a highly skilled and experienced Product Manager to join our 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:

  1. Build trending dashboards to track pre and post feature launch performance of "Product" KPIs over time
  2. Use data to Identify "TAM, SAM, SOM" opportunities to improve Product KPIs
  3. Perform root cause analysis on product KPI changes
  4. 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
  5. Define and calculate the unit economics of the product and forecast cost, in comparison with competitor Enterprise SAAS products
  6. Evaluate production performance of ML-powered features and use data to identify use cases and find examples for engineering debugging
  7. 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)
  8. Be the Data Product Business Steward for the product Qualifications:
  • 2+ year of Data Analytics Experience
  • SQL (must)
  • Tableau/Looker (plus)
  • Desire in the future to transition into product management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.