Assistant Manager, Sell Out Data Analytics, SEAPAC

Job description

Country: Singapore
Job Function: Accounting & Finance

State / Province: Singapore
Position Type: Full time

City / Location: Singapore
Brand: adidas

Relocation: No

Somewhere, in one of our workshops right now, the future is taking shape. We are constantly working to redefine the way clothing and footwear transforms the pitch, court or course. This is what drives us: the feeling of discovery and the urge to innovate. When we create a product that makes our hearts beat faster, we know we’re onto something.

If this sounds inspiring, you might be one of us: Someone who loves to create the present, as well as shape the future. There’s a reason adidas has been at the forefront of defining sport for more than 60 years: We never stand still. Everyday, we work to improve everything we create.

At adidas, interesting, amazing and inspiring aren’t just ideas. They are what we do every single day.

Key Responsibilities:

· Govern all the types and forms of data with focus on sell out and inventory
· Ensures that procedures and guidelines are documented for data access and use
· Verify correctness and completeness of data model, data relationships, mappings and definitions
· Enhance, develop and track standard reports in dashboard, yearly, quarterly and monthly related KPI targets by key customer, regular rolling forecasting and dashboards to achieve annual goals
· Provide support to the sales team in onboarding of new accounts getting sell-out and inventory data
· Create ad hoc business cases building such as: seasonal promotion plan, trade inventory clearance plan, etc
· Support the demand planning activities / processes to ensure high forecasting accuracy
· Support the development of training programs to sales team on planning processes, systems and methodologies
· Enable improvement of sell out, inventory, promotional customer related activities, range management, demand planning and buy decisions

Job Requirements:

Knowledge, Skills and Abilities

· MS Office (Excel/Access; Outlook; Word; Powerpoint)
· Strong planning & analytical skills
· Great coordination and communication skills
· Very good project management skills
· Business acumen
· Analytical and process thinking
· Fluent in English (written and oral); excellent communication skills

Qualifications

· Bachelor’s Degree in Computer Science, Software Engineering, Information Systems or Finance with equivalent experience required;
· Minimum of 2 years of work experience, preferably in Sell-out Analytics
· Proficient in dashboard reporting, standard reporting, report optimization
· Understanding of data modeling concepts (relational, dimensional)