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eCommerce Data Analyst MEE

Schneider Electric

Schneider Electric

Kazimierza Gierdziejewskiego 1



Technologies we use

Operating system

Your responsibilities

• Provide data driven business insights and suggest actions to improve eCommerce performance across the funnel (from traffic generation to cart conversion and customer retention) and to overall enhance our customers’ online buying experience

• Working with Channel Partners:

o Lead business analysis, eCommerce performance and customer journey analysis with partners to bring insights to the relevant teams in sprint mode

o Define use cases for building of advanced use cases with partner/country

o Accelerate digital transformation of key partners by leading the analytics transformation with BOPP partners

o Build and execute joint analytics roadmap

o Utilize analytical tools like Pimerce to drive actions with local teams at marketplaces & pure players

• Analytics Insights:

o Build reports to share insights on competition using tools as Price Scraper/ Content Scraper with Country/ Senior Leadership

o Manage Performance tracking of campaigns done in the zones/countries with support of Digital Trade Managers and

Growth Marketing team:

• Empower wider eCommerce team for data driven decision making:

o Empower the wider eCommerce team to make autonomous data driven decisions by creating and automating self-service dashboards and analytics tools

o Build a data driven community within the region by working closely with country team and ‘walking the talk’ of using data for decision making

o Build and share best performance with the aim to scale up

• Support Analytics team in MEE Cluster:

o Rollout and adaption of Global tools in the region

o Bring forth the use cases from MEE Cluster and ensure the development around those use cases

o Share best practices (and fails) to develop group learning

Our requirements

  • 4+ years of experience in data analysis, experience in eCommerce analytics is a plus

  • Proficient with eCommerce analytics tools such as Google Analytics, Adobe Analytics

  • Proficient in data visualization tools such as Tableau/ Power BI and Google DataStudio

  • Knowledgeable in working with big data platforms, AWS is a plus

  • Experienced in predictive analytics, machine learning, statistical modeling and knowledgeable of typical frameworks like Tensorflow is a plus

  • Strong project management skills with proven ability to drive multiple high profile, cross-functional projects to successful completion in parallel

  • Advanced degree in a quantitative discipline is a plus

  • Growth mindset – business and impact oriented

  • Great communication skills and ability to articulate complex problems and/or technical concepts in a simple and business driven manner

  • Start-up hustle mentality combined with a strategic and creative mind

  • Ability to manage undefined scopes and put structure into large-scale ambiguity

  • Humble and curious, with a big appetite to learn, discover, and experiment new things

  • Team spirit and great communication skills

  • Learn constantly to be authority on the subject matter

What we offer

  • Autonomy to provide the best solutions in collaboration with technical peers

  • Work in an organization and company that prioritizes trust, work-life balance, and personal growth

  • Work in an organization and company that enables a valid career path, both technical and non-technical

  • Hybrid work model and high level of collaboration and exposure across the globe

  • Exciting job in an international company, which is leading the Digital Transformation of Energy Management and Industrial Automation, with significant market share

  • Collaboration with cross-region teams, work in a diverse and supportive team of professionals

  • Induction training - that will help you to smoothly find yourself in our company

  • Special trainings tailored to your needs and career goals

  • Wide choice of benefits (sports card, medical care, life & group insurance, holidays & languages subsidiary, benefits from referral program)


  • sharing the costs of sports activities

  • private medical care

  • life insurance

  • flexible working time

  • no dress code

  • extra social benefits

  • employee referral program

Great People make Schneider Electric a great company

  • It is the policy of Schneider Electric to provide equal employment regardless of race, religion, color, gender, disability, national origin, age, sexual orientation, marital status, or any other legally protected characteristic or conduct.

  • The eCommerce Data Analyst is responsible to empower the eCommerce team to make data driven decisions and deliver key insights to build the best-in-class shopping experience and identify new growth levers across all eCommerce models in MEE Cluster.

  • We are looking for eCommerce Data Analyst MEE.

Schneider Electric

Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive.

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