Time series forecasting techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Fri, 20 Sep 2024 06:30:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Time series forecasting techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Senior Data Analyst – Customer Analytics https://whoneedsengineers.com/jobs/data-sciene-and-analytics/senior-data-analyst-customer-analytics/ Fri, 20 Sep 2024 06:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/senior-data-analyst-customer-analytics/ Senior Data Analyst – Customer Analytics

Job Description:

    As a Senior Data Analyst within the Customer Analytics team, you will play a pivotal role in shaping data-driven strategies for Zalando's operations across more than twenty countries. Your primary focus will be to extract actionable insights from customer data, which will be crucial for informing our marketing and retail decisions. Leveraging a variety of analytical methods, you will conduct in-depth analyses using diverse data sources, including transactional and onsite data. Your role will involve presenting your findings to senior management, utilizing compelling visualizations and storytelling to convey your messages effectively. You will also be responsible for developing and refining forecasting models that will aid in central planning efforts. By collaborating closely with commercial planning teams, you will help illuminate current and future trends that impact our customer metrics. In addition to your analytical work, you will foster a culture of data-driven decision-making within the team, providing mentorship and guidance to less experienced team members. Your innovative approach will enable you to identify new opportunities for business growth by tapping into new data sources and methodologies.

IT Languages:

  • SQL
  • Python

The responsibilities of this role encompass a variety of tasks aimed at leveraging customer data to drive business outcomes.:

    Conduct deep dive analyses to derive actionable customer insights.;; Create and present compelling visualizations and stories to senior management.;; Develop and optimize forecasting models for key customer metrics.;; Collaborate with commercial planning teams to understand trends and forecast future performance.;; Mentor junior team members and promote an analytical mindset within the team.

Spoken Languages:

  • English;; German

Skillset:

  • Data visualization
  • Statistical analysis
  • Time series forecasting techniques
  • Google Analytics
  • BigQuery
  • MicroStrategy
  • Tableau
  • Spark
  • DataBricks
  • GitHub

Soft Skills:

  • Strong communication skills
  • Curiosity and proactivity
  • Ability to innovate and find pragmatic solutions
  • Mentorship and leadership skills

Qualifications:

  • Bachelor’s or Master’s degree in Economics, Social Science, Statistics, Mathematics, Computer Science or a related field
  • Strong background in statistical analysis and data transformation

Years of Experience:

    5

Location:

    Europe

Job Benefits:

  • Employee shares program
  • 40% discount on fashion and beauty products
  • 30% discount on Zalando Lounge
  • Discounts from external partners
  • Two paid volunteering days per year
  • Hybrid working model (60% remote)
  • Work from abroad for up to 30 working days annually
  • 27 days of vacation per year
  • Relocation assistance available
  • Family services including counseling and support
  • Health and wellbeing options including Gympass
  • Mental health support and coaching

Working Conditions:

    Hybrid

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters an inclusive and dynamic work environment that prioritizes employee wellbeing, collaboration, and innovation. A strong emphasis is placed on professional development and mentorship, enabling team members to grow and thrive in their roles.

Opportunities For Advancement:

  • Potential for career growth within the analytics team, Opportunities to lead projects and initiatives, Access to continuous learning and professional development resources

Visa Sponsorship:

    Available
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