Alumni in Business, Finance, Economics, Math, and Data Science Vacancy at Adidas

May 23, 2024

Overview

At their Gurgaon area, Adidas is hiring an experienced Manager Traffic Analytics. At sportswear e-commerce, you will be in charge of driving traffic analytics and providing stakeholders with cutting-edge scientific services so they can make informed decisions. You manage the development and creation of tools, data capabilities, optimizations, and insights that help adidas better understand the customer, increase reach, increase customer engagement and advocacy, inevitably drive traffic, conversion, or sales. These tools are based on internal and external data sources. Working closely with the e-com and company detection teams, you drive and carry out planning and analysis approach and solutions across Emerging Markets with a focus on Digital Marketing Analytics, Traffic & Media assessment and marketing.

The full specifics of this position are as follows

Roles and Accountability:

  • Travel EM e-commerce traffic analytics for our websites, applications, and digital platforms/eMarketplaces (all levels of macro and micro Metrics).
  • Unique and generate combination, assessment of outcomes, marketing of traffic generation and associated conversion and ROI/ROAS, alignment and development of a global-aligned reporting framework that assesses factors like awareness, engagement, and purchasing behavior. Give information on sportswear brand recognition and e-commerce efficiency.
  • To help improvements to traffic generation, site usability, information, promotion, and overall customer experience, work with and support the Performance Marketing Brand team, Digital Brand Activations team and e-com UX and CE teams to achieve the value proposition of the Premium Shopping Experience and related Personalization across all online touch points.
  • Work closely with the e-com prediction team to discuss findings and insights on visitors, media, matching deep dives for pre-post mortems, campaigns, traffic acquisition strategies, and overall business goals.
  • Utilizing a single data cause, conduct data collection, tracking, mining, and research, as well as generate fact-based insights.
  • Create and use best practice tools, systems, and data capabilities to track and optimize e-commerce organic and paid media visitors continuously.
  • Find, recommend, and take action on fresh opportunities to increase visitors.
  • In order to grow and optimize sportswear’ digital traffic generation actions, keep an eye on market trends and competitor activity.
  • Pull the development of traffic analysis capabilities by utilizing a variety of cutting-edge analysis methodologies to enhance data analysis. This covers the framing of business requirements, data exploration and KPIs benchmarking, as well as descriptive, forecast, and normative modeling.
  • Based on your gathered KPIs research and insight, offer participants comments and calls for action. To ensure that KPI gaps, dangers, and uplift are closed and targets are met, translate the gathered insights into an interesting, practical, easy-to-digest insights demonstration and implementations.
  • E-commerce implementation of analysis tools and reporting frameworks to make it easier for decision-makers to access the data they require, such as dashboards, modeling tools, reports, etc.
  • Help the murder of online strategies with the help of efficient insights that focuses on identifying trends in traffic, KPIs, user actions, and revenue.
  • Make sure tools and devices are updated, scheduled, and refreshed daily routines and activities.
  • With appropriate platforms and channels, support deep-dives, ad-hoc evaluation, and cultural dashboards.
  • Create and maintain a robust customer network with high levels of trust, which makes it easier for insights to be put into action.
  • To define goals, choose appropriate Indicators, screen performance, and identify trends and opportunities, consult stakeholders in your area of obligation on online insights.
  • Keep the analytics practice’s reach regular, including the creation of the company profile and ongoing ecosystem scanning for new models, capabilities, partners, or solutions.
  • Create a robust internal and external system while keeping the adidas Digital Analytics community informed of the most recent trends and modern developments.

Needed Training and Experience

Minimum Requirements:

  • Selling Analytics, Attribution, etc. knowledge that challenges the status quo
  • Excellent contact abilities and command of the language
  • Degree with a preference in firm, finance, economics, mathematics, data science, or another related field; or an equal mixture of education and experience
  • Working in data analysis, business knowledge, demand forecasting and planning, data knowledge, or a related field with at least three years of experience
  • Advanced knowledge of online marketing in the context of brands
  • User knowledge, analytics, primary e-commerce capabilities, CRM process/program, overlaps/opportunities in relation to cognitive web data
  • Either internally or at a top traffic/media company, knowledge in traffic technology.
  • Knowledge of or practice with analytics platforms, particularly when it comes to integrating or producing insights that call for multiple sources
  • Industry: Hopefully in clothing, fashion, shoes, or the internet.

Soft Skills & Knowledge:

  • Extensive knowledge of e-commerce and modern analytics
  • Ability to effectively collaborate with participants from all levels of digital and non-digital disciplines, as well as the efficiency of working in a cross-functional business.
  • Excellent communication and negotiation skills, as well as the ability to present complex ideas both face-to-face and virtually at various organizational levels to professional and non-technical audiences.
  • A passion for developing fresh structures, resources, and information capabilities. interest in the development of analysis features “back-of-house.” commitment to precision, dependability, precision, and user-centered design.
  • Precise, meticulous attention to detail
  • Inventive and enthusiastic team player who is passionate about providing analysis, data, and insights to improve businesses and customer satisfaction quantifiably.
  • A thorough comprehension of and interest for the activities, fashion, and entertainment sectors

Hard Skills:

  • Advanced knowledge of financial, online, BI, and analysis tools
  • Practical knowledge of analysis, statistics, data visualization, and analytics-related tools and fields
  • Proficient in Alteryx, Microsoft Office, or at least one querying language (with an emphasis on Excel)
  • Encounter with technology, approach design, and procedure improvements.
  • Proven task management abilities, such as the capacity to manage multiple projects at once or guide jobs.
  • Advanced hands-on experience with tools (GA 360, Adobe Analytics) is a requirement.
  • Advanced knowledge of mobile app measurement platforms (iOS, Android, Appsflyer, Adjust, etc.)
  • Experience in appropriate electric fields, such as e-commerce, social networks, online communities, loyalty programs, CRM, and SEO/SEM
  • Advanced knowledge of Analytics Blending & Visualization Tools (PowerBI, Tableau, MicroStrategy, Alteryx, SQL, etc.)
  • Additionally, the following may be taken into account:
  • Knowledge of forecast and modeling models
  • Advanced Analytics Tools/Language (R, Python, SQL, etc.) Experience
  • Advanced knowledge of visitors analytics software, advertising and media Metrics, and ROI
  • Superior monitoring and online marketing experience, as well as SCV, propensity modeling, etc.
  • Experience using the customer voice tool (Martitz CX, Medallia, Qualtrics)
  • Measurement of the customer experience (Tealeaf CEM, Clicktale, QM, and Crazyegg)
  • Preferred AB and Multi-variate screening tools (e. g. Ideally, VWO, Test, and Target)
  • Proficient in both spoken and written English

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