Offers “Amazon”

Expires soon Amazon

Business Analyst - HR analytics / Market research

  • Munich, GERMANY
  • Marketing

Job description



DESCRIPTION

Are you an Amazonian?

Come build the future with us! What unites all Amazonians (across teams and geographies) is that we are striving to delight our customers and make their lives easier—whoever they may be. In pursuit of delighting customers, Amazonians have developed many products and services that have transformed the way our customers live their lives and run their businesses. Together we are building the future, one innovative product, service, and idea at a time. Wherever you are in the business – whatever team, whatever level - we all work to one set of Leadership Principles that help us hire the right people and run our business in the best way. These principles are followed every single day. They are highlighted in the way we interact with each other and how we behave. They are: Customer Obsession; Ownership; Invent and Simplify; Are Right, A Lot; Learn and Be Curious; Hire and Develop the Best; Insist on the Highest Standards; Think Big; Bias for Action, Frugality; Earn Trust; Dive Deep; Have Backbone – Disagree and Commit; and Deliver Results.

About Amazon Operations

Amazon Operations sits at the heart of the Amazon customer experience. We deal with the ‘everyday experience' of shopping on Amazon. We look after everything from the moment a customer click's buy, to the moment that item gets delivered – from desktop to doorstep. Across Europe we have more than 50 fulfilment centres, hundreds of delivery stations, thousands of machines, and tens of thousands of employees, all working together in harmony to make sure the right item gets delivered to the right person in the right place at the right time.

• Are you passionate about developing and preserving a positive relationship with candidates?
• Do you believe that automation trumps manual processes every time?
• Can you “think big” in the creation of processes and tools that are designed for global, long-term use?

We are looking for a talented Business Analyst to help manage our ever-growing high volume recruiting needs and support the team with analysis on risk and strategy of an increasingly complex labor market for Workforce Staffing (WFS) across the EU.

You will be responsible for designing, executing, maintaining and improving our funnel risk management portfolio in the area of high volume recruiting. You will work closely with a wide range of business professionals across Amazon to leverage our data in ways that provide business insight. But you won't stop there. Your role is also responsible to research innovative ways of candidate profiling, analyzing labor market trends, conducting geographical spatial analysis and identifying opportunities in streamlining and optimizing existing recruitment processes.

Main Responsibilities:

• Create and drive innovative and scalable system and process mechanisms to support our high volume hiring growth.
• Analyze historical funnel data and develop hiring plans for future challenges within a multi stakeholder business.
• Monitor and identify hiring risk across all various business lines in EU using existing reports
• Drive network, HR and recruiting functional process excellence.
• Design scalable processes to address both selection and recruitment challenges.
• Conduct and lead research projects and analysis on optimizing recruiting chain solutions
• Manage agency partnership and provide guidance on WFS standards
• Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
• Execute and manage spatial and labor market analysis and translate the data into meaningful site selection reports

Desired profile



BASIC QUALIFICATIONS

• Completed Bachelor's or Master's Degree in related field
• Advanced MS Excel and other MS office product skills
• 5+ years experience in conducting complex analysis
• Ability to multi task and manage your workload in a rapidly changing environment
• Experience in data visualization tools (e.g. Tableau, Alteryx etc.)
• Experience in geographical spatial analysis
•Travel up to 30% is required.

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