Manager, Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Foot Locker is seeking a Manager, Analytics (APAC) to join our Global Data & Analytics function within Footlocker’s Global Technology Services (GTS) department.

In this newly created role, you will be partnering with Global Data & Analytics teams and stakeholders and enabling Foot Locker to get more value from its data. You will evangelize the use of data and analytics and partner business and data professionals in applying data story telling techniques to distill complex analytic learnings into actionable insights.

Responsibilities

• Evangelize the understanding and use of data and analytics throughout the APAC region, applying data story telling techniques to distil complex results into actionable insights.
• Identify high complexity, high impact problems, provide data and analytics support to the business functions, and deliver key findings through presentations and direct engagement that result in actions and improved decision making.
• Partner with key business executives to synthesize highly complex requirements and impactful business requests into innovative and repeatable data and analytic solutions that create business value and unlock insights from our data assets.
• Collaborate with Global Data & Analytics teams to design, develop, and deploy elegant and efficient data solutions and enable adoption by stakeholder teams.
• Design, define, and manage our portfolio of data and analytic products including KPIs and metrics, data marts, dashboards, reports, and advanced analytics models.
• Manage end-to-end optimization processes, including prioritization, requirements gathering, implementation, measurement, and next-step recommendations.
• Support project management and product roadmap by refining agile backlog, determining priorities, estimating work effort, and tracking progress against deliverables.
• Maintain knowledge on the latest data, technology, membership, and retail best practices.

Qualifications

• Requires a bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Information Systems, Data Science, or related field. Master’s degree preferred.
• A minimum of 4 years of experience leading analytic teams and/or initiatives, with a focus on retail analytics, marketing analytics, test-and-learn, or process improvement.
• Advanced knowledge of SQL/Relational Database systems (TSQL, MySQL, Oracle, or comparable).
• 2+ years of hands-on experience with analytics-oriented programming languages such as Python, Scala, or R.
• Have an understanding and experience in visualizing data in an easy-to-understand, actionable and storytelling way using reports and dashboards to the senior & executive leadership.
• Strong mathematical or statistical background. Demonstrated knowledge of multivariate statistical and modeling techniques.
• Subject matter expertise in data, technology, and business acumen focused on Digital, Customer, Merch, or Retail capabilities.
• Excellent communication, organizational & interpersonal skills with the ability to interact with all levels of business stakeholders and technical resources.
• High level of attention to detail, quality, and excellent verbal and written communication skills. Must be highly motivated, be a self-starter, and be able to work both independently and in a team environment.
• Proven team builder and leader with a track record of mentoring, developing, and promoting employees.
• Fluent in English (verbal & written)