Product Manager - Data | Disruptive Data Technology Company | Competitive Package Incl. Bonus |
Our client, a disruptive data technology company, is challenging the status quo of financial market data and leveraging its world-leading directory of financial professionals.
As a Product Manager, you will create highly innovative solutions for their desktop products in an ever-increasingly complex market. You will help them better understand their customers and use data-driven decisions to impact their flagship product, using search and recommendation algorithms.
A huge opportunity to get involved with a disruptive and technology-driven company, leveraging the extensive knowledge and prestige of Thompson Reuters, but in a Unicorn Start-up environment!
The position is Full-Time. Location: Canary Wharf, London
Responsibilities
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Define the strategy for usage analytics across the product management team
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Work closely with software development teams across the SDLC
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Work side-by-side with the Business Intelligence (BI) team for requirements and integration of capabilities
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Work to define the data standards and governance process
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Collaborate and drive projects across cross-functional teams
Required
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4+ years of experience of product management
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Ability to detail end-user workflows, product requirements, mock-ups and roadmaps
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Understanding of data storage and database design
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An understanding of data technology environments, including but not limited to; SQL, PowerBI, Snowflake, Python, JSON, XML, JIRA, Mixpanel, Amplitude, Tableau.
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Hand-on experience of Business Intelligence (BI) solutions, approaches, and offerings
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A practical understanding of vendor solutions
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Proven ability to bring simplicity and measurable results to complex challenges.
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Excellent communication skills, detail orientated and ability to manage several complex projects simultaneously.
If you have a passion for data that impacts users, this is the role for you!
Environment:
Product Management, Data, Business Intelligence, BI, SQL, PowerBI, Snowflake, JSON, JIRA, XML, Mixpanel, Amplitude, Tableau, SDLC, Technology, Startup, Financial Services.