PURPOSE

The Manager Profit Protection (Data Analytics) is tasked with supporting the execution and integration of risk data analytics within Global Retail under the guidance of the Director Profit Protection (Retail Operations).

Profit Protection team members are value-adding business partners to Global Retail focused on supporting adidas in creating a sound governance, risk and compliance framework which mitigates risk and reduces loss.

KEY ACCOUNTABILITIES

• In support of Director Profit Protection, implements the risk data analytics roadmap, ensuring compliance with industry best practices:

• • Manage the day-to-day operations within Exception Based Reporting for Global Retail POS Transactional Data.
  • Manage 3rd party analysis operations through the nominated adidas provider (Infosys), ensuring adherence to operational SLA’s.
  • Monitor EBR (Exception Based Reporting) functionality ensuring SLAs are met in full and systems are always fully operational.
  • Support DTC led analysis including the integration of OMNI data sources, including eCOM.
  • Build and develop extensive analytics reporting that includes automated reports that can be utilized by Market Retail/Profit Protection.
  • Proactively escalate and improve risk programs by identifying where data analytics can automate manually intensive tasks or where analysis of full population of data provides greater assurance and efficiencies

• Complete quarterly quality assessments and fact-based documentation for Data Privacy purposes, including System User Access reviews and other elements defined within Profit Protection SLA’s / Standard Operating Accountabilities.
• Obtain breadth of understanding of key processes and in-depth knowledge of key adidas applications (e.g., SAP, RFID, , Power BI).
• Drive the integration of risk into Retail systems (RFID, mPOS, SCO) to leverage opportunities to mitigate risk and drive operational efficiencies.
• Support education and upskilling of Retail members to improve interpretation of data via usage of Profit Protection tools (e.g., EBR, RFID, Resolver).
• Develop analytic visualizations to create more compelling visuals that highlight impactful insights which are easier to consume for key stakeholders. 
• Act as a point of contact for Retail members and associated stakeholders.

KEY RELATIONSHIPS

• Profit Protection teams and related reporting lines (Retail & Finance functions)
• Global Retail functions
• TECH / InfoSec
• Organizations within the “Aligned Assurance functions”, including Risk Management, Group Policies,Internal Controls, Legal and Compliance and CIA (Corporate, Internal Audit)
• External vendors/solution providers

KNOWLEDGE, SKILLS AND ABILITIES

• Highly results driven and self-motivated team player with compassion, integrity, trust, and perseverance.
• Able to accept and meet deadlines, involving effective time management capacity and sense of priorities and agility.
• Strong analytic capabilities and effective listening skills to collect and manage large volume of information from various sources (interviews, data) and derive meaningful observations.
• Solid interpersonal skills combined with a high degree of customer orientation to navigate easily within complex organization, to connect with people, and management styles across different cultures and communicate technical IT / data topics to non-technical personnel
• Curious and growth mindset; keen to learn and approach subjects outside of comfort zone, look beyond the obvious.
• A passion for detail, accuracy, reliability, and speed coupled with desire for data exploration to reveal deeper insights, business process improvement opportunities and areas of potential risk.
• Effective English presentation and communication skills (verbal and in written) and composure in conveying information.
• Strong software knowledge with Microsoft Office suite.
• Ideally, experience with data visualization platforms (e.g., Power BI).
• Additional language skills a value-add benefit (e.g., German). 

QUALIFICATIONS

• Commerce/Business Administration/Finance/ Controlling/Mathematics background
• 5+ years’ work experience within data analytics field
• Experience working within Profit Protection / Internal Controls / Risk Management / Retail functions
• Experience working with Exception Based Reporting / RFID systems
• Practical experience with data extraction and analytics tools.