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נאספה מאתר אינטרנט
19/11/2019
Location: Tel Aviv-Yafo
Required Product Manager, Data & Analytics - TLV.
What will you do:
Own both inbound and outbound aspects of certain data-related modules and products, including ideation, clients validations, wireframing, user testing, data analysis, discovery, roadmap planning and execution, specs writing, launching, monitoring and never-ending iterations.
Work closely with R&D to build a scalable data infrastructure, including ETLs and ingest tools, data pipelines, data analysis platforms and data visualization.
Create customer-level and company-level analytics solutions, including dashboards, reports, alerts and APIs, embedded throughout our platform and solutions.
Lead, in collaboration with data engineers and scientists, the practical integration of data-driven insights into our product portfolio, in the form of predictive models, experience personalization, targeted recommendations and more.
Serve as the internal and external product evangelist; know everything about your product; clearly communicate its functionality and value to stakeholders; build relationships with prospects, customers and industry experts.
Work with internal team members (UX, product marketing, R&D, sales and more) to drive product launches, feature rollouts, sales and adoption etc.
Commit to results, and report on progress.
Present to the company executive management on a quarterly basis.
Requirements:
3+ years of experience of data analysis experience, either as a product manager or as a customer-facing data scientist, dealing with a complex data-driven product.
BSc in Engineering/CS/statistics/equivalent.
Familiar with SaaS business models, engagement and product usage metrics, and data requirements that drive personalized messaging and experiences (e.g. user profiling, segmentation, A/B testing etc.).
Strong understanding of big-data platforms (Redshift or similar) and ETL processes.
Advantage: Has strong fundamentals in at least one of the following:
Customer and engagement analytics.
Applied data science in business settings.
Personalization and predictive machine learning models.
Recommender systems.
NLP.
Experience in SQL.
Advantage: experience in R, Python.
Proven experience in working closely with highly technical R&D teams: running discovery sessions, writing high-level and low-level specifications, and taking an active part in iterations.
Effective communicator, both verbally and in writing.
Strong UX and design thinking.
Works well as part of a team.
Willingness to travel (~10%).
Fluent English.
 
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