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Product Owner - Data & Analytics

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

New Jersey (USA), United States

Offer summary

Qualifications:

6+ years of Product Management experience, Strong expertise in data analytics, Proficiency in BI tools like Power BI, Experience with cloud platforms (AWS, Azure), Media industry experience is a plus.

Key responsabilities:

Oversee the entire product lifecycle
Gather and analyze data from multiple sources
Develop quarterly reports with actionable insights
Collaborate with cross-functional teams
Make data-driven product decisions

BroadAxis https://www.broadaxis.com/

11 - 50 Employees

See more BroadAxis offers

Job description

Product Owner - EPM

Work location: Remote United States ENGLEWOOD CLIFFS (US:07632), NJ

Product Owner - Data & Analytics

Must Haves:

6+ Years of Product Management Experience: Proven track record in an Agile environment, leading cross-functional teams.
Data Analytics & Mapping Expertise: Strong experience in data analytics, with the ability to understand and interpret large datasets for business insights.
Proficiency in BI Tools (Power BI or similar): Advanced skills in generating, querying, and validating data to create dynamic visualizations and quarterly reports for key stakeholders.
Cloud Technology Familiarity: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

Preferred Qualifications:

Media Industry Experience: Background in the media industry is a plus.

Responsibilities:

Product Lifecycle Management: Oversee the entire product lifecycle, ensuring timely delivery of key features and updates.
Data Collection & Analysis: Gather, analyze, and integrate data from multiple sources, leveraging your expertise in data visualization tools (e.g., Power BI) to validate and query complex datasets.
Reporting & Insights: Develop detailed quarterly reports that present actionable insights, requiring both technical proficiency and strategic communication skills to engage executive-level stakeholders.
Collaboration with Cross-Functional Teams: Work closely with engineering, data science, and business teams to align product strategy with overarching business objectives.
Data-Driven Product Decisions: Leverage data analytics and visualization tools to navigate and interpret complex data environments, ensuring data accuracy and driving informed product decisions.
Cloud Technologies & Media Familiarity: Experience with cloud platforms and, ideally, a background in the media industry to enhance effectiveness in this role.