דרושים » תוכנה » Senior Data Analyst

Requirements:
What you need is:
Bachelors degree in Industrial Engineering, Math, Statistics, Economics, or equivalent background.
1-2 years experience in quantitative analysis (as a Marketing, Product or Business Analyst).
Strong SQL skills.
Outstanding analytical & technical skills, with an ability to make data-driven decisions.
Strong communication, collaboration and interpersonal skills, great presentation skills with proven story-telling skills.
Ability to simplify a rather complex story in an interesting and meaningful way.
Quick-thinking, fast learner and problem solver, with strong attention to details.
Ability to work in a fast-paced environment, curious and independent.


Nice to have:
Statistical knowledge and experience using statistics for analyzing datasets.
Expert at data analysis and visualization. Working knowledge of BI visualization/analytic tools like PowerBI, Qlick, Tableau, Looker.
Familiarity with Marketing Automation tools (like Salesforce Pardot, Braze, Leanplum etc.).
MBA or masters degree in related field.
Experience working on cloud services (GCP / AWS / Azure) - Advantage.

Requirements:
5+ years of hands-on product management experience in financial technology
Passion for solving big customer problems through deep understanding of customer needs, market landscape and technology trends.
Experimental mindset, adept at qualitatively and quantitatively validating concepts and assumptions through rapid and iterative testing.
Strategic thinker as well as tactical executor, continually assessing prospective experiences, capabilities and products for desirability, feasibility and
Comfortable with ambiguity and building and nurturing experiences and emerging technology capabilities to be embedded or scaled into core business products and services.
Demonstrated ability in recognizing, learning, and using new technologies to solve important customer problems.
Strong communication and relationship skills, including proven ability to influence strategic decision making.
Excellent verbal and written English communication skills, and experience working in a global development organization, especially with the U.S.
Demonstrated team-building skills, including the ability to motivate and guide people beyond the direct reporting structure including engineers, data scientists, designers and researchers; and to collaborate with a variety of functions across the company including legal, privacy and platform teams.
The successful candidate will be a self-starter; adaptable, persuasive, resilient , perceptive and able to execute a well-developed pl
Undergraduate degree in business with specialization in technology, entrepreneurship, data science/analytics, computer science, innovation or finance; MBA is a plus (equivalent professional experience will be considered).