Data Analytics Manager- Wholesale ( Retail)

Requirements
Bachelors degree.
Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment.
Strong proficiency in data analysis tools and software and data visualization platforms.
Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork.
In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred.
Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple
projects and deadlines effectively.
Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment.
Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects
to completion independently.

Key Responsibilities:

Collaboration & Communication:
Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if
needed, ensuring alignment on task objectives and timelines.
Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making.
Technical Implementation:
Oversee collaborate with the technology team to design, develop, and implement interim solutions such
as automation scripts and data integration tools to improve workflow efficiency.
Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance.
Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP.
Data Stewardship:
Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation.
Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations.
Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise.
Data Analysis & Insights
Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes.
Co-create or present comprehensive reports highlighting key KPI and provide actionable
recommendations for enhancing operational effectiveness and driving growth.
Onboarding Support:
Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations.
Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners.
Continuous Improvement:
Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations.
Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.