Jobs
Required Skills
Data science
Analytics
Problem solving
Business acumen
Hypothesis formulation
Cross-functional collaboration
Role & Responsibility
- Define & develop data-driven methodology and solutions to:
o sort out business and data process
o identify key business factors and requirements
o generate business insights & resolve problems
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Collaborate with business stakeholders and cross-functional teams (e.g. partner management, marketplace, operations, concept development, retail excellence, retail marketing). Build trust partnerships to discuss, develop and evolve business layouts and impacts with stakeholders through meaningful insights and data. Support stakeholders to make critical business decisions
-
Track & identify potential opportunities & risks in multiple daily business scenarios, create sufficient validation points for strategic options through scientific approach
-
Be responsible for team dynamics and talent career development
Qualification
-
6-10 years’ extensive experience in data science with at least 2 years in Consulting/Consumer goods industry background would be a plus
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With interest in business operation and recap analysis, and strong capabilities to resolve business questions & requirements with analytics skills and numeric acumen
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impeccable business judgment, along with a natural inclination to formulate hypotheses, design pilots, and use problem-solving techniques to evaluate solutions.
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Strengths in cross-functional collaboration with demonstrated expertise in driving complex projects with multiple stakeholders. Ability to facilitate ideation, scoping and planning sessions
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Strong sense of ownership and action orientated. Ability to quickly understand the context, frame the problem and move to planning & execution, even in the face of ambiguity or uncertainty
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Passion for sports and sports industry
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About Nike
Reviews
3.7
10 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Great coworkers and team environment
Good benefits and competitive compensation
Fun and energetic work environment
Cons
Poor management and leadership issues
Workplace politics and competitive environment
Inconsistent company direction and frequent changes
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total / year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Phone Screen
2
HireVue Video Interview
3
Final Round
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