Manager, Planning & Forecasting Analytics (eCommerce)

Manager, Planning & Forecasting Analytics (eCommerce)

Location: Istanbul, Turkey

Department: eCommerce | Global Sales

Grade: M4

Reports To:

• Direct: Senior Manager, Business Planning & Forecasting, EM eCommerce
• Indirect: Director, Planning & Analytics, EM eCommerce

Purpose & Overall Relevance

The Manager, Business Planning & Forecasting will drive forecasting and performance analytics for adidas eCommerce across Emerging Markets . This role is accountable for delivering business targets through accurate forecasting, data capabilities, and actionable insights that enhance consumer understanding, expand digital reach, and improve customer engagement and advocacy.

What We Are Looking For

The ideal candidate is a data-driven eCommerce professional with 5+ years of experience in business planning, forecasting, and analytics—preferably within apparel, fashion, or sports . They combine strong technical expertise (Excel, SQL/Alteryx, BI & analytics tools) with the ability to deliver accurate forecasts, actionable insights, and growth recommendations across multiple markets. Confident and collaborative, they can influence senior stakeholders , simplify complex data, and build trusted cross-functional relationships. Passionate about digital commerce and consumer experience , they thrive in fast-paced, matrix environments and excel at turning analytics into measurable business impact.

Key Responsibilities

Business Performance & Forecasting

• Lead EM eCommerce performance reporting (sales, KPIs) and forecasting processes (reviews, accuracy tracking).
• Identify demand gaps, risks, and growth opportunities ; provide actionable recommendations to ensure targets are achieved.
• Drive adoption of forecasting and demand management frameworks across stakeholders.
• Ensure accuracy and consistency in reporting tools, data refreshes, and system updates.
• Deliver ad-hoc analyses, deep-dives, and contextual dashboards from multiple data sources.
• Define and monitor KPIs with stakeholders to track performance and uncover growth levers.
• Build and maintain a trusted stakeholder network across markets, functions, and global teams.

Analytics & Insights

• Support product and trading analytics , partnering with EM eCommerce Buying & Trading teams.
• Develop profitability frameworks (order- & article-level) to inform marketing and assortment decisions.
• Collaborate with business teams to optimize adidas.com, partner platforms, and apps .
• Enhance campaign effectiveness with advanced data-driven targeting and measurement.
• Track market and competitor trends , deriving insights to optimize EM eCommerce growth.
• Contribute to the adidas Digital community by sharing knowledge on analytics tools and emerging technologies.

Key Relationships

• EM Hub eCommerce team
• EM cross-functional teams (Finance, DNA, Brand, Sales, SCM, etc.)
• Country Cluster market teams & Group functions
• Global Digital teams
• Global BI & Analytics teams

Qualifications & Experience

• Degree in Business, Finance, Economics, Math , or related field (or equivalent experience).
• 5+ years’ experience in eCommerce business planning, forecasting, analytics, or BI.
• Experience in eCommerce-driven industries (preferably apparel, fashion, or sports).
• Strong expertise in data handling, integration, and multi-source analytics .
• Experience working in cross-geography / matrix organizations .

Knowledge, Skills & Attributes

Knowledge & Soft Skills

• Strong understanding of digital commerce and multi-platform eCommerce .
• Deep expertise in digital & eCommerce analytics .
• Proven ability to influence senior stakeholders and collaborate cross-functionally.
• Excellent presentation & communication skills ; confident and outspoken.
• Analytical rigor , detail orientation, and action-driven mindset .
• Passion for digital, sports, and fashion industries.

Technical / Hard Skills

• Skilled in digital analytics, BI, and financial tools .
• Excel expert ; preferred: Alteryx, SQL or equivalent querying languages.
• Proficient with data visualization tools (Power BI, MicroStrategy, etc.).
• Familiar with forecasting/predictive modeling and automation processes .
• Experienced with traffic analytics, marketing/media KPIs, and ROI measurement .
• Exposure to web & app analytics tools (Adobe Analytics, Google Analytics, Amplitude, AppsFlyer, Firebase).
• Advantageous: R/Python, A/B testing tools (Optimizely, VWO, Test & Target), CRM, SEO/SEM, loyalty programs.
• Experience collaborating with data science & engineering teams .
• Fluent in English (written & spoken) .