Product Owner

1 day ago

Gurgaon, India S&P Global Full time

**Responsibilities**:
Product Owners within the automotiveMastermind (aM) Data Analytics team play a leading role in measuring the effects of aM in the market, communicating the value each product within the portfolio delivers, and identifying opportunities to strengthen the products and the processes by which they are created.

Responsibilities include:

- Rigorous identification, analysis, and interpretation of trends or patterns in complex data sets
- Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems
- Design and develop management reports and supporting ad hoc analyses answering key questions such asa) Is the product performance aligned with the sales pitch?

b) Are key product components delivering value?

c) Is marketing outreach effective?

d) Are results consistent across clients?
- Identify key value drivers and key opportunities for/sources of error across products and processes
- Create client-facing visualizations to clearly articulate the aM value proposition and identify business opportunities for internal and external stakeholders
- Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with data transformation, engineering, QA, and production support team members
- Support and inform account leads with respect to client and regional sales mix, performance, and aM contributions
- Identify and access additional data assets that could be leveraged to answer a given business problem
- Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions

**Qualifications**:

- BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
- Minimum 3 years working experience as a data analyst or in a similar analytical + technical role
- Technical experience with data models, database design, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects), databases (SQL), programming (XML, Javascript, or ETL frameworks)
- Experience with visualization software packages (Data Studio, Tableau, PowerBI)**Equal Opportunity Employer**:

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